+
+# Fashion Forward: Winter 2025 Style Guide
+
+Winter 2025 brings an exciting blend of comfort, luxury, and bold self-expression to fashion across all age groups. This season's trends emphasize texture, individuality, and practical elegance while embracing both maximalist statements and refined minimalism.
+
+## **Men's Winter Fashion 2025**
+
+### Key Wardrobe Pieces
+
+**Statement Outerwear** dominates men's winter fashion this year. **Oversized topcoats in alpaca blends** and **cocoon puffers in matte nylon** serve as the season's cornerstone pieces. **Shearling and fur-trimmed coats** have evolved beyond runway statements into essential winter wear, with brands like Dolce \& Gabbana offering **long men's fur coats enriched by shearling inserts**. For those seeking understated luxury, **fleece-lined trench coats with exaggerated collars** provide both functionality and sophistication.[^1][^2][^3]
+
+**Tailored Suiting** takes a bold turn this season. The **classic suit goes wild** with asymmetrical cuts, innovative textures, and experimental silhouettes. **Louis Vuitton's Pharrell Williams collaboration** showcases suits with unconventional proportions, while designers embrace **checked prints and wide-leg volumes** for a more relaxed approach to formal wear.[^4]
+
+**Refined Knitwear** plays a crucial supporting role. **Half-zip fisherman sweaters**, **mock necks with contrast stitching**, and **knit vests layered over utility shirts** offer versatility for temperature changes while maintaining a polished appearance.[^3]
+
+### Color Palette \& Styling
+
+This season's masculine palette balances **timeless shades of brown, gray and blue with playful touches of pink**. **Cherry lacquer pink** emerges as a key color, transforming outerwear and tailoring into symbols of confident elegance. **Burgundy and wine-colored suits** bring depth to winter dressing, while **midnight navy, iron gray, and forest black** remain reliable foundations.[^2][^3]
+
+**Pattern play** includes **patterned sweaters** featuring tartan, floral motifs, stripes and animal-inspired designs. The **multicolor trend** embraces patchwork and embroidery for men unafraid to experiment.[^2]
+
+### Styling Combinations
+
+Layer **tapered-leg trousers** (the refined evolution of skinny jeans) with **oversized down jackets** for casual sophistication. Combine **leather jackets** with **multicolor sneakers** for a streetwear-meets-tailoring aesthetic. For evening, pair **velvet suits** with **metal and acetate sunglasses** to bridge traditional and modern styling.[^1][^2]
+
+**Hybrid approach** defines casual winter wear: **half-puffer, half-hoodie jackets** in softshell fabrics, layered with **thermal joggers** and **tech-knit hoodies** create a winter-proof yet stylish ensemble.[^3]
+
+## **Women's Winter Fashion 2025**
+
+### Essential Outerwear Trends
+
+**Faux Fur Revolution** leads women's outerwear this season. This trend dominated **almost every major fashion house**, appearing as floor-length coats, cropped jackets, stoles, and accessories. **Altuzarra's two-tone dressing gown coat** and **Gucci's cropped brown number** exemplify the trend's versatility. For longevity, choose **classic brown and beige tones**.[^5]
+
+**The Luxe Puffer** evolves with sophisticated details including **built-in scarves, cinched waists and a chic color palette** that adds feminine elegance to cold-weather practicality.[^6]
+
+**Scarf-Coats ("Scoats")** emerge as hybrid pieces that simplify cold-weather styling. These **intuitive silhouettes** from Calvin Klein and Toteme eliminate the need for separate scarves while providing effortless sophistication.[^7]
+
+**Suede Dominance** continues from previous seasons with enhanced sophistication. **Hermès, Louis Vuitton, and Prada's suede coats** demonstrate the material's evolution from boho-inspired to effortlessly elegant.[^7]
+
+### Footwear Focus
+
+**Boot trends** emphasize both comfort and statement-making. **Slouchy boots** that scrunch and bunch around calves appear across Isabel Marant, Balmain, and Louis Vuitton. **Snakeprint** emerges as the dominant animal pattern for footwear, with **grey-hued patterns** offering fresh monochrome dressing options.[^8]
+
+**Riding boots** and **thigh-high styles** provide practical warmth while maintaining elegance. **Western-inspired boots** have evolved into **sleek, fashion-forward silhouettes** that work equally well with denim or dresses.[^9]
+
+### Jewelry \& Accessories
+
+**Statement pieces** define jewelry trends with **oversized necklaces, chunky chains, and sculptural earrings** drawing inspiration from art deco and architectural forms. **Chunky chains and cuffs** with sculptural flair dominate, while **mismatched earrings** add asymmetrical edge.[^10][^11]
+
+**Layered necklaces** remain strong, encouraging mixing of metals like gold and silver with varying lengths and textures. **Modern pearls** break traditional molds with **avant-garde pairings and unexpected shapes**, while **shell accents** bring ocean-inspired tranquility.[^11]
+
+**Accessories trends** focus on **leather everything** including gloves, belts, headbands, and clutches. **Opera gloves** make a dramatic comeback, while **oversized scarves** in chunky knits or plaid wool provide both warmth and style.[^10]
+
+### Styling Strategies
+
+Create **elevated casual looks** by pairing **faux fur coats with minimalist slip dresses** for New York glamour inspiration. **Layer structured blazers under roomy trench coats** for sophisticated outerwear doubling.[^12][^13]
+
+For transitional dressing, **stretch summer dresses into winter** by adding **chunky sweaters and boots**. Mix **seasonal textures** like suede or bouclé with lighter fabrics for visual interest.[^13]
+
+## **Children's Winter Fashion 2025**
+
+### Key Trends for Kids
+
+**Oversized outerwear** dominates children's fashion with comfort and growth-friendly fits. **Printed borg fleece** combines warmth with playful aesthetics through **checkerboard patterns, animal motifs, and oversized florals**. Popular prints include **neutral-toned checkerboards**, **adorable ladybug prints**, and **bright, oversized floral designs**.[^14][^15]
+
+**Gender-neutral designs** gain significant traction, featuring **neutral tones, classic patterns, and functional designs** that allow free self-expression. These pieces often have **looser fits that last longer** as children grow, making them both budget-friendly and environmentally conscious.[^15]
+
+**Collegiate prep styling** brings **crisp polos, pleated skorts, cable-knit sweaters, and retro tennis stripes** with fresh, playful edges. This trend emphasizes **bold primary colors, crisp whites, and timeless navy** combinations.[^16]
+
+### Color \& Pattern Focus
+
+**Pastel and soft hues** create calming effects with **soft pinks, baby blues, and lavender** leading children's wardrobes. These **muted tones work like "a visual lullaby"** helping kids relax.[^15]
+
+**Bold dopamine dressing** balances calm with energy through **neon and electric shades**. **Hot pink, neon green, bright orange, and electric blue** bring excitement to outfits, while **cherry red** adds confident sophistication to statement pieces.[^15]
+
+**Plaid takes center stage** in **bold colors, modern cuts, and unexpected pairings**, mixing traditional prints with fresh textures like corduroy and knit.[^16]
+
+### Styling Approaches
+
+**Matching sets** simplify dressing while maintaining style, ranging from **joggers with hoodies to shorts with tees**. These coordinated pieces **make kids look put-together without effort** while adapting to different seasons through layering.[^15]
+
+**Layering systems** prove essential for winter comfort, with children requiring **3-4 layers** (one more than adults). The recommended approach includes **moisture-wicking base layers**, **insulating middle layers of wool, down, or fleece**, and **protective outer layers**.[^15]
+
+## **Universal Color Trends for Winter 2025**
+
+### Dominant Palette
+
+**Mocha Mousse** leads as Pantone's Color of the Year 2025, described as **a warm, rich brown with special intensity that evokes cocoa, chocolate and coffee**. This sophisticated neutral appears across all demographics and age groups.[^17]
+
+**Tomato Red** and **Cherry Lacquer** emerge as the season's power colors, providing energizing accents that work from children's statement coats to men's luxury outerwear and women's evening wear.[^18][^19]
+
+**Italian Plum** and **Scarlet Smile** represent the luxury end of the palette, offering **deep wine reds that exude elegance** for formal occasions.[^17]
+
+### Supporting Colors
+
+**Blues in assorted shades** provide **tranquility and tenderness**, including **icy blues, cobalt, and cyan** that pair seamlessly with whites and neutrals. **Future Dusk**, a deep blue, conveys calm and allure.[^19][^17]
+
+**Muted pastels** including **Transcendent Pink** offer **cross-seasonal stability** and gender-neutral appeal, while **Sunset Coral** promotes conscious enjoyment of life.[^17]
+
+## **Layering Mastery for Winter 2025**
+
+### Essential Techniques
+
+**Proportional layering** requires **looser silhouettes on top**. Since coats serve as the final layer, choose **oversized options roomy enough for chunky knits, leather jackets, and blazers**. **Toteme's 'Shield' coat** exemplifies this approach with its **enveloping double-breasted shape**.[^20]
+
+**Category sister layering** encourages **mixing similar items** like **denim jackets with leather jackets** to show range in textures and scale while maintaining complementary proportions.[^13]
+
+**Neckline mixing** creates sophisticated depth by **layering different neckline types** - such as **white crewneck T-shirts under V-neck sweaters** for texture and contrast.[^13]
+
+### Practical Applications
+
+Start with **breathable base layers** in merino wool, cotton, or sustainable viscose, then add warmth through **chunky knits or fleece**. **Double up on outerwear** by ensuring the outer layer (like a roomy trench) accommodates slimmer inner jackets (like tailored blazers).[^21][^13]
+
+**Extend seasonal pieces** by **pairing summer dresses with chunky sweaters and boots**, or **integrate fall textiles like suede or bouclé with linen dresses** for renewed versatility.[^13]
+
+Winter 2025 fashion celebrates individual expression through thoughtful layering, bold color choices, and texture mixing. Whether embracing maximalist fur statements or refined minimalist tailoring, this season's trends offer sophisticated options for creating personal style while staying warm and comfortable throughout the coldest months.
+
+
+⁂
+
+[^1]: https://magazine.sportofino.com/en/post/top-7-trends-in-men's-fashion-for-fall-winter-2025-2026/
+
+[^2]: https://www.luisaviaroma.com/en-my/lvr-magazine/trends/fall-winter-men-fashion-trends
+
+[^3]: https://ryzealsourcing.com/mens-fashion-trends-2025-by-season/
+
+[^4]: https://numero.com/en/fashion/fashion-week-en/8-trends-spotted-at-mens-fashion-week-fall-winter-2025-2026/
+
+[^5]: https://www.harpersbazaar.com/uk/fashion/a64348914/autumn-winter-2025-fashion-trends/
+
+[^6]: https://www.whowhatwear.com/fashion/trends/coat-trends-2025
+
+[^7]: https://www.marieclaire.com/fashion/coat-trends-2025/
+
+[^8]: https://www.cosmopolitan.com/uk/fashion/style/a66138489/autumn-boot-trends-2025/
+
+[^9]: https://www.vogue.com/article/fall-2025-boot-trends
+
+[^10]: https://www.fashion.ie/fashion-beauty-news/jewellery-and-accessories-trends-autumn-winter-2025/
+
+[^11]: https://befruitfuljewelry.com/blogs/news/jewelry-trends-2025-top-10
+
+[^12]: https://www.libertylondon.com/uk/features/winter-fashion-trends.html
+
+[^13]: https://www.harpersbazaar.com/fashion/trends/a62544329/best-layering-clothes-outfits/
+
+[^14]: https://www.accio.com/business/trending-2025-kids-autumn-winter-outfits
+
+[^15]: https://miregalia.com/blogs/articles/whats-actually-trending-in-kids-clothes-a-parents-guide-for-2025
+
+[^16]: https://www.maisonette.com/le_scoop/top-kids'-fashion-trends
+
+[^17]: https://wunderlabel.com/blog/p/color-trends-2025/
+
+[^18]: https://www.womanandhome.com/fashion/autumn-winter-fashion-colour-trends-2025/
+
+[^19]: https://www.vogue.com/article/fall-winter-2025-color-trends
+
+[^20]: https://www.net-a-porter.com/en-us/porter/article-ff89e6abd1bd926b/fashion/art-of-style/layering-clothes
+
+[^21]: https://elkthelabel.com/blogs/elk-tales/conscious-fashion-staples-for-winter
+
+[^22]: https://www.women.com/1977763/fashion-experts-trends-predict-outdated-winter-2025/
+
+[^23]: https://www.vogue.com/article/fall-winter-2025-fashion-trends
+
+[^24]: https://www.whowhatwear.com/fashion/winter/winter-outfit-ideas-2025
+
+[^25]: https://pilguni.com/blogs/blog-posts-and-news/children-s-winter-fashion-trends-2025-warmth-meets-style
+
+[^26]: https://www.gq.com/story/mens-fashion-trends-predictions-2025
+
+[^27]: https://www.youtube.com/watch?v=G3BTGN9tsro
+
+[^28]: https://www.iloveplaytime.com/aw25-26-kids-trends-by-fashion-snoops/
+
+[^29]: https://www.reddit.com/r/malefashionadvice/comments/1ndct2a/best_fall_winter_2025_lookbooks_youve_seen_so_far/
+
+[^30]: https://www.instyle.com/nyc-fall-to-winter-fashion-staples-2025-11798278
+
+[^31]: https://www.instagram.com/p/DKvLI8ds6YW/
+
+[^32]: https://www.esquire.com/uk/style/fashion/g68031495/mens-style-trends-2025/
+
+[^33]: https://www.harpersbazaar.com/uk/fashion/shopping/a66069140/autumn-2025-boot-trends/
+
+[^34]: https://www.youtube.com/watch?v=YKSMiKA8u0A
+
+[^35]: https://www.youtube.com/watch?v=vyvaXecmoCY
+
+[^36]: https://baredfootwear.com/us/articles/your-boot-style-guide
+
+[^37]: https://www.stylist.co.uk/fashion/best-winter-coats-high-street/1021455
+
+[^38]: https://www.whowhatwear.com/fashion/jewelry/jewellery-trends-2025
+
+[^39]: https://www.vogue.com/article/winter-coat-trends-2025
+
+[^40]: https://fashionmagazine.com/style/five-jewellery-trends-2025/
+
+[^41]: https://magazine.sportofino.com/en/post/which-shoes-are-going-to-be-trendy-in-autumn-winter-2025-2026-overview-of-trends-and-models/
+
+[^42]: https://mmsclothing.com/2025-color-trends-for-cotton-and-down-jackets-a-winter-fashion-guide/
+
+[^43]: https://www.coeur-de-lion.org/collections/collection-autumn-winter
+
+[^44]: https://www.youtube.com/watch?v=GF1y_O4iWOY
+
+[^45]: https://shop.mango.com/gb/en/c/women/coats_d1b967bc
+
+[^46]: https://www.net-a-porter.com/en-kr/porter/article-69e5796860935cc7/jewelry-watches/jewelry-trends/jewelry-trends-2025
+
+[^47]: https://daniellegervino.com/winter-capsule-wardrobe/
+
+[^48]: https://www.youtube.com/watch?v=66btkKXTL2Y
+
+[^49]: https://www.whowhatwear.com/fashion/outfit-ideas/outfit-ideas-2025
+
+[^50]: https://www.youtube.com/watch?v=FD78efvz_lU
+
+[^51]: https://www.pantone.com/articles/fashion-color-trend-report/new-york-fashion-week-autumn-winter-2025-2026
+
+[^52]: https://www.cosmopolitan.com/style-beauty/fashion/g63298024/january-2025-outfit-ideas/
+
+[^53]: https://plumager.com/blogs/plumager-print-design/color-trend-forecast-fall-winter-2025
+
+[^54]: https://vogue.sg/layering-lessons-street-style-fall-winter-2025/
+
+[^55]: https://www.vogue.com/article/vogue-wardrobe-essentials-guide
+
+[^56]: https://www.pantone.com/fashion-color-trend-report
+
+[^57]: https://www.harrods.com/en-gb/c/stories/women/fashion-colour-trends
+
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+
+
+# Men's Winter Fashion Guide 2025: Essential Trends and Wardrobe Recommendations
+
+Winter 2025/2026 represents a pivotal season for men's fashion, where traditional elegance meets modern innovation. After extensive analysis of global fashion weeks and emerging trends, this season presents a compelling narrative of **sophisticated layering, bold color experiments, and sustainable luxury**[^1][^2]. The modern man's winter wardrobe transcends mere functionality, becoming a canvas for self-expression that balances comfort with refined style. From the resurgence of tailored silhouettes to the unexpected prominence of pink hues, winter 2025 offers unprecedented opportunities for sartorial creativity[^1][^3].
+
+
+
+Diverse men's winter fashion trends showcasing layering, wool sweaters, and outerwear for Autumn/Winter 2024.
+
+## The Defining Trends of Winter 2025
+
+### **Oversized Outerwear Revolution**
+
+The most striking trend dominating winter 2025 is the **maximalist approach to outerwear**[^1][^2]. Oversized down jackets have evolved from purely functional pieces to statement-making garments that command attention. Fashion houses like 3.Paradis and Y-3 have reimagined down jackets with **XXL volumes and bold patterns**[^2], creating pieces that appear "almost inflated with helium" while maintaining urban sophistication[^2]. These jackets represent more than mere protection from the elements—they serve as the focal point of winter ensembles, allowing men to express courage and individuality through their outerwear choices[^1].
+
+
+
+Men's oversized black wool winter coat styled with a white turtleneck sweater for a fashionable and warm winter look in 2025.
+
+The oversized trend extends beyond down jackets to encompass **wool coats and structured overcoats**[^1][^4]. Single-breasted overcoats with elongated silhouettes create commanding presence while maintaining elegance[^5]. This approach to outerwear reflects a broader shift toward **comfort-focused fashion** that doesn't sacrifice style[^6]. The key to mastering oversized outerwear lies in balancing proportions—pairing voluminous top layers with more fitted bottoms to maintain a flattering silhouette[^5][^7].
+
+### **The Pink Revolution**
+
+Perhaps the most surprising development in men's fashion for winter 2025 is the **unprecedented embrace of pink**[^1][^2][^3]. From powder pink to deep cherry red, these traditionally feminine hues have been reimagined as symbols of **confident masculinity**[^1][^2]. Dior's Kim Jones introduced refined silhouettes in powder pink, while Louis Vuitton's Pharrell Williams designed pink cardigans with checkered patterns for streetwear applications[^2].
+
+The pink trend represents more than a color choice—it symbolizes a **redefinition of masculine color palettes**[^1]. This shift toward bolder hues reflects growing confidence among men to experiment with their wardrobes and challenge conventional style boundaries[^1][^3]. When incorporating pink into winter outfits, the key is strategic application: using it as an accent color through knitwear or accessories rather than overwhelming entire ensembles[^1].
+
+### **Classic Tailoring Renaissance**
+
+Winter 2025 witnesses a **sophisticated evolution of traditional tailoring**[^2][^8]. The classic suit has been transformed into "a true field of stylistic experimentation," with designers introducing asymmetrical cuts, innovative textures, and bold patterns[^2]. Louis Vuitton and KidSuper have led this movement, reimagining suits with striped patterns and wide-leg volumes that bridge heritage and innovation[^2].
+
+This tailoring renaissance emphasizes **mix-and-match approaches**[^8], where blazers need not match trousers, and traditional pairings give way to creative combinations[^8]. The trend reflects a broader movement toward **personalized style expression** within formal wear, allowing men to maintain professionalism while showcasing individual creativity[^8].
+
+## Essential Wardrobe Foundations
+
+### **The Power of Layering**
+
+Effective winter dressing hinges on **strategic layering systems**[^4][^7]. The most successful approach involves a three-tier system: moisture-wicking base layers, insulating mid-layers, and protective outer layers[^5][^7]. This methodology ensures both warmth and style flexibility throughout varying winter conditions[^7][^9].
+
+**Base Layer Excellence**: Begin with **thermal underwear or merino wool base layers**[^7][^10] that provide moisture management while maintaining comfort against the skin[^7]. Quality base layers form the invisible foundation of every successful winter outfit[^11].
+
+**Mid-Layer Sophistication**: The middle layer serves as the primary source of insulation and style expression[^7][^12]. **Cashmere sweaters, wool cardigans, and structured blazers** fulfill this role beautifully[^12]. A charcoal crew neck merino wool sweater layered over a white Oxford shirt, topped with a navy blazer, creates a refined combination suitable for professional environments[^12].
+
+**Outer Layer Statement**: The outer layer provides weather protection while serving as the visual anchor of the ensemble[^7]. **Wool overcoats, structured parkas, and technical shells** each serve different purposes while maintaining style integrity[^4][^13].
+
+
+
+Men's autumn/winter fashion runway showing diverse layering outfits including wool sweaters, blazers, and coats for winter.
+
+### **Fabric Selection Mastery**
+
+Winter 2025 emphasizes **natural materials** that combine functionality with luxury[^14][^15]. **Merino wool** stands as the cornerstone fabric, offering lightweight warmth, breathability, and versatility[^12][^10]. Its moisture-wicking properties and natural odor resistance make it ideal for base layers and mid-layer pieces[^14][^10].
+
+**Cashmere** represents the pinnacle of winter luxury, providing exceptional warmth-to-weight ratio while offering unmatched softness[^14][^15][^10]. A well-chosen cashmere cardigan serves as both insulation and style statement, elevating any layered ensemble[^12].
+
+**Wool varieties** including flannel, tweed, and worsted wool bring texture and visual interest to winter wardrobes[^14][^12][^16]. Tweed blazers, in particular, offer heritage appeal combined with practical warmth, making them essential for sophisticated winter styling[^12][^16].
+
+**Technical fabrics** like **down insulation and synthetic fills** provide maximum warmth for extreme conditions[^15][^10]. Modern down jackets use responsibly sourced materials with high fill power ratings, ensuring ethical luxury with superior performance[^13].
+
+## Color Palette Sophistication
+
+### **Earthy Elegance**
+
+Winter 2025's color story centers on **sophisticated earth tones**[^17][^3][^18]. **Brown in all its variations**—from camel to chocolate—dominates the season's palette[^17][^3][^8]. These warming hues work beautifully with both casual and formal pieces, providing versatility across different occasions[^17][^18].
+
+**Burgundy and wine-colored shades** add richness and depth to winter ensembles[^17][^3]. These colors work particularly well in outerwear and tailored pieces, creating sophisticated alternatives to traditional black and navy[^3].
+
+**Forest green and muted greens** connect winter wardrobes to nature while providing vibrant alternatives to neutral palettes[^17]. These shades pair beautifully with brown and burgundy tones, creating harmonious color combinations[^17].
+
+### **Contemporary Neutrals**
+
+**Grey in all its forms**—from light silver to charcoal—remains essential for winter 2025[^17]. These versatile shades provide sophisticated foundations that work with virtually any color combination[^17]. Grey's adaptability makes it ideal for building capsule wardrobes that maximize outfit possibilities[^17].
+
+**White and cream colors** bring freshness to winter wardrobes while reflecting the season's snowy landscape[^17]. These shades work particularly well in knitwear and base layers, providing clean contrast against darker outerwear[^17].
+
+## Strategic Footwear Selection
+
+Winter footwear must balance **style, warmth, and functionality**[^19][^20][^21]. The season's most recommended options include:
+
+**Chelsea Boots with Thermal Lining**: Blundstone's thermal models provide slip-on convenience with substantial warmth ratings[^20][^21]. Their sleek silhouette works equally well with jeans and tailored trousers[^20].
+
+
+
+Black men's chunky leather ankle boots perfect for winter fashion and protection.
+
+**Chunky Leather Boots**: Workwear-inspired boots with thick soles offer superior traction and insulation[^22][^20]. These styles complement the season's oversized outerwear trend while providing practical benefits[^22][^20].
+
+**Waterproof Options**: Technical boots from brands like Sorel and The North Face provide extreme weather protection without sacrificing style[^19][^20]. The Sorel Caribou remains the gold standard for extreme cold conditions[^20].
+
+## Accessories Integration
+
+### **Essential Cold-Weather Accessories**
+
+**Wool Scarves** serve dual purposes as warmth providers and style enhancers[^22][^23]. Colorblock scarves can inject personality into neutral outfits, while classic patterns add sophistication[^22].
+
+
+
+Man wearing a coordinated set of gray knitted winter accessories including beanie, scarf, and gloves in a snowy outdoor setting.
+
+**Quality Gloves** in leather or wool provide necessary protection while maintaining elegance[^22][^23]. Brown leather gloves, in particular, complement the season's earthy color palette[^22].
+
+**Beanies and Caps** offer practical head protection while contributing to casual styling[^22][^23]. Cashmere options provide luxury comfort for more refined looks[^23].
+
+**Technical Accessories**: Gore-Tex gloves and weather-resistant accessories ensure functionality without compromising style[^23].
+
+## Advanced Styling Techniques
+
+### **Texture Mixing Mastery**
+
+Winter 2025 celebrates **texture experimentation**[^9]. Successful combinations might include smooth leather with nubby wool, or sleek cashmere with textured corduroy[^9]. This approach creates visual interest and depth in winter ensembles[^9].
+
+### **Proportion Management**
+
+The key to mastering oversized trends lies in **strategic proportion balancing**[^5][^7]. When wearing oversized outerwear, pair it with more fitted bottoms to maintain flattering silhouettes[^5]. Conversely, wide-leg trousers work best with more structured, fitted tops[^2].
+
+### **Color Coordination Strategies**
+
+**Monochromatic dressing** in varying shades of the same color creates sophisticated winter looks[^24]. Alternatively, **analogous color schemes** using colors adjacent on the color wheel provide harmonious combinations[^17][^18].
+
+## Seasonal Wardrobe Investment Priorities
+
+### **Core Investment Pieces**
+
+**A Quality Wool Overcoat**: This single piece can elevate any winter ensemble while providing essential warmth[^4][^13]. Choose classic colors like camel, navy, or charcoal for maximum versatility[^13][^12].
+
+**Merino Wool Knitwear**: Investment-quality sweaters and cardigans form the backbone of winter layering systems[^12]. Their versatility and durability make them worthwhile investments[^12].
+
+**Premium Winter Footwear**: Quality boots that combine style and function provide daily reliability throughout the winter season[^20][^21].
+
+### **Trendy Additions**
+
+**Statement Outerwear**: An oversized down jacket or colorful parka can serve as the season's fashion statement piece[^1][^2].
+
+**Pink Accents**: Incorporate this trending color through smaller pieces like scarves, sweaters, or accessories[^1][^2].
+
+## Conclusion
+
+Winter 2025 presents unprecedented opportunities for men to express personal style while maintaining practical functionality. The season's emphasis on **oversized silhouettes, bold colors, and sophisticated layering** creates a rich palette for sartorial creativity[^1][^2]. By focusing on quality natural fabrics, strategic layering, and thoughtful color coordination, modern men can navigate winter with confidence and style[^14][^12].
+
+The key to successful winter dressing lies in **balancing trend adoption with personal style preferences**[^1]. While embracing new developments like pink accents and oversized outerwear, the foundation remains rooted in classic principles: quality materials, proper fit, and thoughtful coordination[^12][^16]. Winter 2025 rewards those who view cold-weather dressing not as a limitation, but as an opportunity for elevated self-expression[^1][^3].
+
+
+⁂
+
+[^1]: https://magazine.sportofino.com/en/post/top-7-trends-in-men's-fashion-for-fall-winter-2025-2026/
+
+[^2]: https://numero.com/en/fashion/fashion-week-en/8-trends-spotted-at-mens-fashion-week-fall-winter-2025-2026/
+
+[^3]: https://www.luisaviaroma.com/en-my/lvr-magazine/trends/fall-winter-men-fashion-trends
+
+[^4]: https://westwoodhart.com/blogs/westwood-hart/how-to-dress-warm-and-stylish-mens-winter-fashion-guide-2025
+
+[^5]: https://www.javinishka.com/blogs/latest-blogs/men-winter-outfit-ideas
+
+[^6]: https://petrolindustries.com/en-int/blogs/news/mens-fashion-trends-2025
+
+[^7]: https://www.mensxp.com/fashion/recommends/179958-best-winter-layering-essentials-every-man-needs-in-2025.html
+
+[^8]: https://www.harrods.com/en-gb/c/stories/men/aw25-new-season
+
+[^9]: https://pantproject.com/blogs/pantology/8-best-winter-outfit-ideas-for-men
+
+[^10]: https://xyxxcrew.com/blogs/article/winter-fabric-guide-the-9-best-fabrics-for-cold-weather
+
+[^11]: https://www.next.co.uk/edited/fashion/men/the-best-winter-clothes-for-men
+
+[^12]: https://www.mykingandbay.com/site/blog/2025/09/24/fall-winter-layering-guide-for-men-to-elevate-style
+
+[^13]: https://stridewise.com/best-winter-jackets-for-men/
+
+[^14]: https://www.mykingandbay.com/site/blog/2022/09/01/the-best-fall-winter-fabrics-for-men
+
+[^15]: https://www.fioboc.com/blogs/fabricnology/how-to-choose-the-best-mens-winter-clothing
+
+[^16]: https://www.rampleyandco.com/blogs/the-journal/a-complete-guide-to-menswear-fabrics
+
+[^17]: https://www.atlasformen.co.uk/inspiration/style/advice/colour-trends.aspx
+
+[^18]: https://www.davidjones.com/blog/men/menswear-trends-autumn-winter/
+
+[^19]: https://www.switchbacktravel.com/best-winter-boots
+
+[^20]: https://www.treelinereview.com/gearreviews/best-mens-winter-boots
+
+[^21]: https://stridewise.com/best-winter-boots/
+
+[^22]: https://www.johnlewis.com/content/fashion/men/mens-winter-accessories-trends
+
+[^23]: https://www.apetogentleman.com/best-fall-winter-accessories-men/
+
+[^24]: https://www.c-and-a.com/eu/en/shop/mens-winter-fashion
+
+[^25]: https://www.switchbacktravel.com/best-winter-jackets
+
+[^26]: https://www.apetogentleman.com/mens-trend-pieces-fall-winter/
+
+[^27]: https://www.carryology.com/liking/buyersguide/best-jackets-for-men-2024/
+
+[^28]: https://www.libertylondon.com/uk/features/fashion/mens-winter-fashion-trends.html
+
+[^29]: https://www.gq.com/story/wardrobe-essentials-for-men-2025
+
+[^30]: https://outdoorsmagic.com/article/best-winter-coats/
+
+[^31]: https://www.gq.com/story/mens-fashion-trends-predictions-2025
+
+[^32]: https://nextlevelwardrobe.com/mens-guide-to-winter-workwear/
+
+[^33]: https://www.outdoorgearlab.com/best-winter-jacket
+
+[^34]: https://www.reddit.com/r/malefashionadvice/comments/1ndct2a/best_fall_winter_2025_lookbooks_youve_seen_so_far/
+
+[^35]: https://www.esquireme.com/style/mens-trends-for-fw-2025-2026
+
+[^36]: https://www.fashionbeans.com/article/best-winter-coats-for-men/
+
+[^37]: https://www.esquire.com/uk/style/fashion/g68031495/mens-style-trends-2025/
+
+[^38]: https://www.tomfordfashion.com/en-us/men-fall-winter-2025/
+
+[^39]: https://www.lloyd.com/wd/en/men/shoes/ankle-boots-booties/
+
+[^40]: https://www.pantone.com/articles/fashion-color-trend-report/new-york-fashion-week-autumn-winter-2025-2026
+
+[^41]: https://www.youtube.com/watch?v=2JQ7ysq3Ty0\&vl=en
+
+[^42]: https://ryzealsourcing.com/mens-fashion-trends-2025-by-season/
+
+[^43]: https://www.apetogentleman.com/mens-winter-boots-styles/
+
+[^44]: https://thealignedlover.com/deep-winter-seasonal-color-analysis-for-men/
+
+[^45]: https://www.holtrenfrew.com/en/stories/winter-2025-mens-must-have-accessories
+
+[^46]: https://www.lofficielibiza.com/hommes/men-s-style-trends-fw-2025-26
+
+[^47]: https://www.gq.com/story/winter-clothes-for-men
+
+[^48]: https://www.gq-magazine.co.uk/article/winter-clothing-essentials-for-men
+
+[^49]: https://www.instagram.com/winterstyleguide/?hl=en
+
+[^50]: https://www.permanentstyle.com/2020/01/the-guide-to-winter-shirt-fabrics.html
+
+[^51]: https://www.apetogentleman.com/mens-winter-fashion/
+
+[^52]: https://www.apetogentleman.com/mens-winter-style-lessons/
+
+[^53]: https://sourceitright.com/blogs/online-fabric-story/best-fabrics-for-cold-weather
+
+[^54]: https://www.uniqlo.com/sg/en/special-feature/winter-travel-essentials
+
+[^55]: https://www.youtube.com/watch?v=lNvMSU1_TUQ
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_Winter-Fashion-Guide-2025- Essential-Womens-Cloth.md b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_Winter-Fashion-Guide-2025- Essential-Womens-Cloth.md
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+
+
+# Women's Winter Fashion Guide 2025: Trends, Styling \& Essential Wardrobe Pieces
+
+Winter 2025/2026 heralds a revolutionary moment in women's fashion, where **maximalist luxury meets sophisticated functionality**. This season's narrative centers on texture-rich fabrics, statement silhouettes, and the unprecedented embrace of **faux fur as high fashion**. The modern woman's winter wardrobe becomes a canvas for bold self-expression, balancing comfort with dramatic visual impact through innovative layering techniques and unexpected color combinations. From the runways of Paris to everyday street styling, winter 2025 celebrates **confidence through contrast** and the artful mixing of traditional elegance with contemporary edge.[^1][^2][^3]
+
+
+
+Women showcasing trendy winter layering outfits with wool blazers, sweaters, and faux fur accents
+
+## The Season's Defining Fashion Movements
+
+### **The Faux Fur Revolution**
+
+Winter 2025's most dominant trend is the **complete embrace of faux fur as a luxury statement**. This isn't the subtle faux fur of previous seasons—it's dramatic, floor-sweeping, and unapologetically opulent. Fashion houses from Altuzarra to Gucci have reimagined faux fur through contemporary silhouettes, with **two-tone dressing gown coats and cropped statement jackets** leading the charge. Simone Rocha's faux-fur co-ordinates demonstrate how this trend extends beyond outerwear into complete ensemble dressing.[^1][^2]
+
+
+
+Woman wearing a stylish brown faux fur coat in an elegant indoor setting, exemplifying 2025 women's winter fashion trends.
+
+The sustainability narrative around faux fur has evolved significantly, with brands like Gabriela Hearst addressing environmental concerns by **reworking vintage real fur into new designs**. For maximum impact, stylists recommend choosing **classic brown and beige tones** that ensure longevity while making dramatic statements. The key is pairing voluminous faux fur pieces with **delicate, barely-there underlayers** to create the perfect balance between drama and elegance.[^1][^2]
+
+
+
+Woman wearing a brown faux fur coat in winter fashion 2025 trend.
+
+### **Tailoring Renaissance with a Twist**
+
+The traditional concept of tailoring has been **completely reimagined for winter 2025**. Rather than matching suits, the season celebrates **strategic mix-and-match approaches** where blazers pair with contrasting trousers and structural pieces work independently. Wide-leg trousers partner with sleek knits, while dramatic wool overcoats transform everyday outfits into assured style statements.[^1]
+
+This **"Tailoring 2.0"** approach emphasizes clean lines and oversized aesthetics that accommodate sophisticated layering. The trend moves beyond workplace formality into versatile pieces that transition seamlessly from professional environments to social occasions. Key elements include **structural silhouettes that create dramatic proportions** while maintaining comfort and movement.[^1]
+
+### **Sheer Power and Transparent Layering**
+
+One of winter 2025's most intriguing developments is the integration of **transparent clothing into cold-weather wardrobes**. This seemingly counterintuitive trend works through **strategic contrast layering**—chunky knits over gauzy skirts, or boyish tailoring paired with delicate transparent elements.[^1]
+
+For evening occasions, the trend reaches full expression through **darkest shades and slinky silk slips** that create sophisticated drama. The key to making sheer pieces work in winter lies in **intelligent layering that maintains warmth while showcasing the interplay between opacity and transparency**.[^1]
+
+## Essential Color Palette Exploration
+
+### **The Mocha Movement**
+
+**Mocha and chocolate tones** dominate winter 2025's color narrative. This sophisticated brown spectrum ranges from **rich espresso to warm caramel**, creating a luxurious foundation for seasonal dressing. The "Mocha Mousse" palette, as identified by color forecasters, represents a move toward **warming, comforting hues** that feel both grounding and elegant.[^2][^4]
+
+
+
+A woman wearing a chocolate brown oversized blazer and fluffy winter coat with black tights and a mocha quilted handbag, showcasing a 2025 winter fashion look for women.
+
+These earthy tones work beautifully across all garment categories, from **statement outerwear to delicate accessories**. The versatility of brown-based palettes allows for sophisticated monochromatic dressing or serves as a neutral foundation for bolder accent colors.[^2][^4]
+
+### **Unexpected Color Narratives**
+
+Winter 2025 introduces surprising color combinations that challenge traditional seasonal expectations. **Tomato red** emerges as a bold accent color, providing vibrant contrast against neutral foundations. **Autumn pastels**, including unexpected soft pinks and muted lavenders, create fresh alternatives to typical winter darkness.[^4]
+
+The season's **"Pretty in Pink"** movement extends beyond traditional feminine interpretations, offering sophisticated ways to incorporate pink tones through accessories, knitwear, and statement pieces. These colors work particularly well when balanced against **rich, grounding browns and sophisticated greys**.[^4]
+
+## Advanced Layering Strategies
+
+### **The Philosophy of Intelligent Insulation**
+
+Winter 2025's layering approach centers on **"intelligent insulation"**—multiple lightweight layers that create warming air pockets while maintaining style flexibility. This methodology moves beyond simple bulk accumulation toward **strategic texture and proportion management**.[^5][^6]
+
+
+
+Women demonstrating chic winter layering outfits with wool blazers, sweaters, and coats for 2025 trends.
+
+The foundation begins with **fitted base layers in fine merino or silk blends**, building upward with contrasting textures and weights. The standout technique involves **dress-over-trousers styling**, executed with sophisticated combinations like slip dresses layered over fitted pants, finished with oversized blazers.[^5]
+
+
+
+Woman wearing a dark gray oversized wool blazer layered over a black top with black leggings and boots in a winter street style outfit.
+
+### **Preppy Revival Techniques**
+
+The resurgence of preppy aesthetics brings **innovative approaches to classic heritage items**. Turtlenecks become the universal underlayer, worn beneath slip dresses, blazers, and even statement outerwear. The trend celebrates **multiple visible layers** where collars and cuffs create intentional styling details.[^3][^5]
+
+Strategic accessory layering becomes crucial, with **chunky scarves worn as wraps, belts over coats, and lightweight cardigans tied around shoulders**. These details elevate simple foundation pieces into thoughtfully constructed ensembles.[^5]
+
+### **Texture Mixing Mastery**
+
+Successful winter 2025 layering depends on **sophisticated texture combinations**. Effective pairings might include **smooth leather with nubby wool, sleek cashmere with textured corduroy, or sheer organza over chunky knits**. This approach creates visual depth while maintaining tactile interest throughout layered ensembles.[^3][^5]
+
+## Fabric Selection Excellence
+
+### **Natural Fiber Foundations**
+
+**Wool remains the cornerstone of winter dressing**, with various weights and textures serving different layering purposes. **Merino wool** provides lightweight warmth with superior breathability, making it ideal for base and mid-layers. **Cashmere** represents luxury comfort, offering exceptional warmth-to-weight ratios in sweaters and accessories.[^7][^8][^9]
+
+**Silk's insulating properties** make it surprisingly effective for winter wear. When layered strategically, silk provides warmth while maintaining breathability and elegant drape. The fabric works particularly well in **blouses worn under blazers or as delicate base layers** beneath heavier pieces.[^8][^10]
+
+### **Contemporary Fabric Innovation**
+
+**Velvet** emerges as a key winter 2025 fabric, offering **thickness, softness, and visual richness**. Beyond its warmth properties, velvet provides **textural interest and sophisticated elegance** suitable for both formal and everyday wear. The fabric works beautifully in **trousers, blazers, and accessories**.[^8]
+
+**Wool-acrylic blends** provide optimal warmth while maintaining affordability and ease of care. These combinations offer **superior insulation properties** compared to single-fiber options while ensuring durability and practical maintenance.[^11][^9]
+
+## Footwear Revolution
+
+### **The Boot Hierarchy**
+
+Winter 2025's footwear narrative centers on **dramatic silhouettes and unexpected styling approaches**. **Over-the-knee boots** dominate as statement pieces, creating **commanding presence while offering practical warmth**. The key lies in finding pairs that **flatter leg proportions while remaining comfortable** for extended wear.[^12][^13]
+
+
+
+Woman wearing knee-high black leather boots with heels, styled for autumn/winter 2025 fashion.
+
+**Knee-high leather boots** provide versatile elegance, working equally well with **tailored trousers and flowing dresses**. Premium options like **Sorel's Joan of Arctic** combine **waterproof construction with sophisticated styling**, proving that function and fashion need not be mutually exclusive.[^14][^13]
+
+
+
+Woman styled in knee-high brown leather boots and a beige dress, exemplifying 2025 winter boot fashion trends.
+
+### **Trend-Forward Styles**
+
+**Slouchy boots** return with sophisticated updates, featuring **soft materials that scrunch and gather around calves**. Suede versions tap into the **boho revival movement**, while leather iterations offer **modern pirate-inspired aesthetics**.[^13][^15]
+
+**Snakeprint patterns** emerge as the season's most compelling animal print for footwear. **Grey-hued patterns** provide fresh takes on monochrome dressing while remaining versatile enough to complement diverse wardrobe pieces.[^13]
+
+**Western-inspired boots** evolve beyond traditional cowboy styling into **sleek, fashion-forward silhouettes**. These boots work beautifully with both **denim-on-denim combinations and flowing dresses**, bridging casual and elevated styling approaches.[^16]
+
+## Accessories as Style Statements
+
+### **The New Luxury Accessories**
+
+Winter 2025 accessories emphasize **textural luxury and statement silhouettes**. **"Squishy" leather handbags** in buttery-soft finishes dominate the luxury market, moving away from rigid structures toward **tactile, touchable designs**. These bags embody the season's emphasis on **comfort-focused luxury**.[^12][^17]
+
+
+
+A woman wearing a coordinated set of grey knitted winter accessories including a beanie with pom-pom, scarf, and gloves.
+
+**Statement belts** receive major upgrades, becoming **ultimate styling tools for creating feminine silhouettes**. The trend includes wearing **multiple belts simultaneously** for maximum visual impact, particularly effective over oversized coats and flowing dresses.[^12]
+
+### **Head-to-Toe Coordination**
+
+**Long leather gloves extending past the elbow** represent the season's most unexpected accessory triumph. These dramatic pieces **instantly elevate any outfit**, whether paired with wool coats or evening dresses.[^12]
+
+
+
+Woman wearing coordinated blue winter accessories including beanie, scarf, and gloves with a light-colored coat.
+
+**Hat varieties** including **beanies, ushankas, balaclavas, and cloche styles** dominate winter 2025 headwear. The key is choosing styles that **complement facial features while providing practical warmth**. Knitted options in **matching sets with scarves and gloves** create cohesive, polished looks.[^17]
+
+### **Jewelry and Metal Mixing**
+
+The rigid rules about **matching metals officially dissolve** for winter 2025. The season celebrates **mixing gold, silver, and rose gold** for personalized, collected-over-time aesthetics. Success lies in **varying textures and weights** to create visual interest while maintaining harmony.[^12]
+
+## Strategic Wardrobe Investment
+
+### **Foundation Pieces Worth the Investment**
+
+**A quality wool overcoat** serves as the single most important winter investment. Choose **classic silhouettes in versatile colors** like camel, navy, or charcoal that will transcend seasonal trends. The **REI Stormhenge 850 Hybrid Down Parka** exemplifies how technical performance can meet style requirements.[^18][^19]
+
+**Premium knitwear in cashmere or merino wool** forms the backbone of sophisticated layering systems. These pieces provide **versatility across multiple outfit formulas** while offering long-term durability.[^5][^7]
+
+**Investment footwear** that combines **style with weather-appropriate functionality** ensures daily reliability throughout the winter season. Quality boots like **Sorel's temperature-rated options** prove that practical performance enhances rather than compromises style.[^14]
+
+### **Trendy Additions for Impact**
+
+**Statement faux fur pieces** serve as the season's dramatic focal points. Whether choosing **floor-sweeping coats or cropped jackets**, these pieces transform basic foundations into high-impact ensembles.[^2]
+
+**Textural accessories** including **exotic-textured handbags and statement belts** provide opportunities to **experiment with trends without major wardrobe overhauls**. These pieces refresh existing wardrobes while embracing seasonal movement.[^12]
+
+## Seasonal Color Psychology
+
+### **The Psychology of Winter 2025 Colors**
+
+**Brown-based palettes** reflect a broader cultural movement toward **grounding, comforting aesthetics**. These colors provide psychological warmth during cold months while offering sophisticated alternatives to traditional black-dominant winter wardrobes.[^4]
+
+**The integration of unexpected pastels** suggests a desire for **optimism and freshness** within winter dressing. These colors work particularly effectively as **accent pieces rather than dominant themes**, providing **subtle brightness** against richer foundational tones.[^4]
+
+## Conclusion
+
+Winter 2025 represents a paradigm shift in women's fashion, where **maximalist expression meets practical functionality**. The season's emphasis on **faux fur luxury, sophisticated layering, and unexpected color narratives** creates unprecedented opportunities for personal style expression. Success lies in **balancing dramatic statement pieces with foundational classics**, ensuring warmth without sacrificing sophisticated aesthetics.[^1][^2][^4][^5][^7]
+
+The modern approach to winter dressing celebrates **texture mixing, proportion play, and strategic accessorizing** as tools for creating compelling ensembles. By investing in **quality foundational pieces while experimenting with seasonal trends**, women can build winter wardrobes that feel both current and timeless.[^18][^12][^5][^7]
+
+Winter 2025 rewards those who **view cold-weather dressing as an opportunity for creative expression** rather than a limitation. The season's diverse trends—from **preppy revival techniques to luxury faux fur statements**—ensure that every woman can find approaches that align with her personal style while embracing the season's innovative spirit.[^2][^5][^1]
+
+
+⁂
+
+[^1]: https://www.libertylondon.com/uk/features/winter-fashion-trends.html
+
+[^2]: https://www.harpersbazaar.com/uk/fashion/a64348914/autumn-winter-2025-fashion-trends/
+
+[^3]: https://www.vogue.com/article/fall-winter-2025-fashion-trends
+
+[^4]: https://www.womanandhome.com/fashion/autumn-winter-fashion-colour-trends-2025/
+
+[^5]: https://www.tellar.co.uk/stylist-picks-for-winter-layering-2025
+
+[^6]: https://www.net-a-porter.com/en-us/porter/article-ff89e6abd1bd926b/fashion/art-of-style/layering-clothes
+
+[^7]: https://regalfabricgallery.com/blogs/article/best-winter-fabrics-womens-clothing-guide
+
+[^8]: https://www.houseofu.com/en/blog/which-fabric-is-best-for-winter/
+
+[^9]: https://fcdrycleaners.com/blog/winter-fabric-guide-the-10-best-fabrics-for-cold-weather/
+
+[^10]: https://www.houseofchikankari.in/blogs/blogs/winter-fabric-guide-best-fabrics-to-wear-in-winters
+
+[^11]: https://kosha.co/blogs/explore/fabric-for-winter
+
+[^12]: https://www.tellar.co.uk/the-most-coveted-fashion-accessories-for-winter-2025
+
+[^13]: https://www.cosmopolitan.com/uk/fashion/style/a66138489/autumn-boot-trends-2025/
+
+[^14]: https://www.treelinereview.com/gearreviews/best-womens-winter-boots
+
+[^15]: https://www.marieclaire.co.uk/fashion/shopping/best-autumn-winter-boots-trends-2025
+
+[^16]: https://baredfootwear.com/us/articles/your-boot-style-guide
+
+[^17]: https://www.marieclaire.co.uk/fashion/autumn-winter-2025-accessories-trend-report
+
+[^18]: https://daniellegervino.com/winter-capsule-wardrobe/
+
+[^19]: https://www.cleverhiker.com/apparel/best-winter-coats-women/
+
+[^20]: https://www.marieclaire.com/fashion/winter-fashion/
+
+[^21]: https://www.switchbacktravel.com/best-winter-jackets
+
+[^22]: https://www.youtube.com/watch?v=G3BTGN9tsro
+
+[^23]: https://www.uniqlo.com/sg/en/special-feature/winter-travel-essentials
+
+[^24]: https://www.outdoorgearlab.com/best-winter-jacket
+
+[^25]: https://www.karenmillen.com/womens/edits/winter-shop
+
+[^26]: https://www.goodhousekeeping.com/clothing/g2273/highest-rated-womens-winter-coats/
+
+[^27]: https://www.whowhatwear.com/fashion/fall/autumn-2025-fashion-trends-for-over-50s
+
+[^28]: https://www.marieclaire.co.uk/fashion/shopping/best-autumn-winter-coat-trends-2025
+
+[^29]: https://www.instyle.com/nyc-fall-to-winter-fashion-staples-2025-11798278
+
+[^30]: https://www.whowhatwear.com/fashion/trends/coat-trends-2025
+
+[^31]: https://www.elle.com/fashion/g65103206/best-fall-winter-2025-campaigns/
+
+[^32]: https://www.youtube.com/watch?v=WrVMmZg7MDc
+
+[^33]: https://www.vogue.com/article/winter-coat-trends-2025
+
+[^34]: https://www.c-and-a.com/eu/en/shop/winter-type-winter-colours
+
+[^35]: https://www.ellecanada.com/fashion/shopping/10-winter-accessories-you-need-to-have-this-season
+
+[^36]: https://radiantlydressed.com/cool-winter/
+
+[^37]: https://www.kettlewellcolours.co.uk/page/winter-seasonal-palette-blogs/winter-explaining-the-different-types
+
+[^38]: https://www.voguescandinavia.com/articles/fw25-accessories-trends-shopping
+
+[^39]: https://www.vogue.com/article/fall-2025-boot-trends
+
+[^40]: https://theconceptwardrobe.com/colour-analysis-comprehensive-guides/true-winter-a-comprehensive-guide
+
+[^41]: https://www.black.co.uk/blogs/black-in-style/colour-your-life-winter-palette
+
+[^42]: https://www.youtube.com/watch?v=xRJgvVLnHsc
+
+[^43]: https://www.whowhatwear.com/uk/tag/boots
+
+[^44]: https://levinas.design/blog/16-seasonal-color-types-dark-winter-and-wardrobe-outfit-ideas
+
+[^45]: https://www.youtube.com/watch?v=DAUcBKIdu4g
+
+[^46]: https://www.whowhatwear.com/fashion/winter/winter-outfit-ideas-2025
+
+[^47]: https://www.youtube.com/watch?v=P7Dlvv9_jeY
+
+[^48]: https://www.cosmopolitan.com/style-beauty/fashion/g63298024/january-2025-outfit-ideas/
+
+[^49]: https://www.vogue.com/article/vogue-wardrobe-essentials-guide
+
+[^50]: https://www.whowhatwear.com/uk/tag/layering
+
+[^51]: https://elkthelabel.com/blogs/elk-tales/conscious-fashion-staples-for-winter
+
+[^52]: https://www.fabricsight.com/en-pt/blogs/posts/choosing-the-perfect-fabrics-for-jackets-a-guide-for-fashion-designers
+
+[^53]: https://www.croftmill.co.uk/autumn-and-winter-dressmaking-fabrics
+
+[^54]: https://www.ellecanada.com/fashion/trends/winter-fashion-how-to-layer-clothes-like-a-stylist
+
+[^55]: https://sourceitright.com/blogs/online-fabric-story/best-fabrics-for-cold-weather
+
+[^56]: https://icewear.is/en-US/blog/fabrics-that-retain-heat-cold-weather-clothing-guide
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_Winter-Wardrobe-Essentials-A-Complete-Guide-to-Childs-clothing.md b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_Winter-Wardrobe-Essentials-A-Complete-Guide-to-Childs-clothing.md
new file mode 100644
index 0000000..bd46636
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_Winter-Wardrobe-Essentials-A-Complete-Guide-to-Childs-clothing.md
@@ -0,0 +1,273 @@
+
+
+# Winter Wardrobe Essentials: A Complete Guide to Children's Clothing for Winter 2025
+
+As winter approaches, ensuring your children stay warm, comfortable, and stylish becomes a top priority for parents. With the 2025 winter season bringing fresh fashion trends and innovative fabric technologies, creating the perfect winter wardrobe for your little ones has never been more exciting. This comprehensive guide will help you navigate the essentials needed to keep your children cozy while embracing the latest seasonal trends.[^1]
+
+## The Foundation: Smart Layering System
+
+The key to effective winter dressing lies in mastering the three-layer system that ensures optimal warmth and comfort. This approach provides flexibility as temperatures fluctuate throughout the day and allows children to regulate their body temperature during various activities.[^2][^3]
+
+### Base Layer: The Moisture Management Foundation
+
+Start with a quality base layer that sits directly against the skin. **Merino wool** stands out as the superior choice for this foundational layer, offering natural moisture-wicking properties, breathability, and temperature regulation. Even when wet, wool maintains its insulating properties, making it ideal for active children. For budget-conscious families, synthetic materials like polyester provide excellent alternatives with good moisture-wicking capabilities.[^4][^5][^6][^3]
+
+The "you plus one" rule serves as an excellent guideline: dress young children in one more layer than an adult would wear in the same conditions. This ensures adequate warmth without overheating.[^7][^8]
+
+### Mid Layer: Insulation for Warmth
+
+The middle layer focuses on trapping heat and providing insulation. **Fleece** emerges as a popular choice due to its lightweight warmth, quick-drying properties, and ease of care. High-quality fleece garments offer excellent breathability and durability, making them suitable for both indoor and outdoor activities. Wool sweaters and cardigans also serve as effective mid-layers, providing natural insulation and style versatility.[^5][^9][^4][^2]
+
+### Outer Layer: Weather Protection
+
+The final layer protects against wind, rain, and snow while maintaining breathability. Look for waterproof or water-resistant jackets with fully taped seams and adequate insulation. **Down jackets** provide excellent warmth-to-weight ratios, making them ideal for extremely cold conditions. For active children, consider jackets with ventilation features like underarm zippers to prevent overheating during play.[^10][^11][^12]
+
+## 2025 Winter Fashion Trends for Children
+
+### Color Palette Revolution
+
+This winter season embraces both **calming pastels** and **bold statement colors**. Soft pinks, baby blues, and lavender create a dreamy, modern aesthetic that appeals to both children and parents. These gentle tones work exceptionally well for everyday wear and can be easily mixed with both subtle and vibrant accents.[^1]
+
+On the opposite spectrum, "Dopamine Dressing" brings energy through bright colors like hot pink, neon green, and electric blue. **Cherry red** has emerged as a standout color for statement coats and accessories, adding bold confidence to winter wardrobes. This trend allows children to express their personalities while staying warm and fashionable.[^1]
+
+### Silhouette Trends
+
+**Oversized outerwear** dominates 2025 winter fashion, offering both comfort and style. Puffer jackets and relaxed-fit coats provide practical benefits by accommodating growth spurts and allowing for easy layering. This trend extends beyond jackets to include oversized hoodies, relaxed-fit pants, and loose sweaters that prioritize comfort during active play.[^1]
+
+**Matching sets** continue to gain popularity as they simplify morning routines while maintaining a coordinated appearance. These sets adapt well to different seasons with strategic layering and work effectively for various activities and occasions.[^1]
+
+### Gender-Neutral Evolution
+
+The most significant shift in 2025 children's fashion is the expansion of **gender-neutral clothing options**. Unisex pieces featuring neutral tones, classic patterns, and functional designs allow children to express themselves freely while providing practical benefits like extended wearability as siblings can share versatile pieces.[^13][^1]
+
+## Essential Winter Wardrobe Components
+
+### Outerwear Selection
+
+#### **Puffer Jackets**
+
+Premium puffer jackets remain winter staples, providing excellent warmth without excessive bulk. Look for features like **water-resistant materials**, **adjustable hoods**, and **secure pockets** for storing winter essentials. The **Burton Powline GORE-TEX jacket** exemplifies high-quality construction with guaranteed waterproof protection and breathable design.[^14][^10]
+
+#### **Snow Suits and Winter Coats**
+
+For younger children, **one-piece snowsuits** offer superior protection against snow infiltration while simplifying the dressing process. The **Reima Stavanger** stands out for its durability, warmth, and child-friendly design features like non-slip foot loops and smooth linings for easy wear.[^11][^10]
+
+For older children, **two-piece sets** provide greater flexibility and independence during bathroom visits and temperature regulation. Look for bibs or high-waisted pants to prevent snow entry during active play.[^15][^16]
+
+### Footwear Fundamentals
+
+Winter footwear requires careful consideration of **warmth, waterproofing, and traction**. Quality winter boots should feature:[^17]
+
+- **Insulated linings** for temperatures down to -10°C or -20°C depending on climate needs[^17]
+- **Waterproof construction** with sealed seams to keep feet dry[^17]
+- **Slip-resistant soles** for safety on icy surfaces[^17]
+- **Removable insoles** for easy cleaning and size monitoring[^17]
+
+The **Reima winter boots** collection offers climate-tested options categorized by temperature ratings, making selection straightforward for different weather conditions. For families seeking **barefoot-style options**, the **Vivobarefoot Lumi** provides functional outdoor performance with natural foot development benefits.[^18][^17]
+
+### Accessories for Complete Protection
+
+#### **Head and Neck Coverage**
+
+Proper head coverage is crucial as significant body heat escapes through the head. **Beanies and winter hats** should cover ears completely to prevent frostbite. For added versatility, consider **trapper hats** with ear flaps that can be adjusted based on temperature conditions.[^19][^20][^7]
+
+**Neck warmers** or **snoods** prove safer and more practical than traditional scarves for younger children, eliminating strangulation hazards while providing effective protection.[^21][^7]
+
+#### **Hand Protection**
+
+**Mittens** work better than gloves for younger children as they're easier to manage and provide better warmth by allowing fingers to share heat. Look for **waterproof options** with extended cuffs that tuck under jacket sleeves to prevent snow entry.[^20][^7][^19]
+
+For older children who need finger dexterity, **insulated gloves** with grip-enhancing palms support outdoor activities while maintaining warmth.[^20]
+
+## Fabric Selection and Safety Considerations
+
+### Optimal Material Choices
+
+**Avoid cotton** as a base layer in cold weather, as it absorbs moisture and loses insulating properties when wet. Instead, prioritize:[^12][^2]
+
+- **Wool**: Natural temperature regulation and moisture-wicking[^9][^4]
+- **Synthetic materials**: Quick-drying and easy care[^4][^5]
+- **Fleece**: Lightweight warmth and breathability[^5][^4]
+- **Bamboo**: Soft, hypoallergenic, and temperature-regulating[^9][^4]
+
+
+### Safety Guidelines
+
+Winter clothing safety requires attention to specific hazards:
+
+- **Remove drawstrings** and cords from jackets and hoodies to prevent choking[^8][^7]
+- **Avoid scarves** for very young children; use neck warmers instead[^7]
+- **Ensure proper fit** in winter boots with room for toe wiggling[^7]
+- **Remove wet clothing** immediately to prevent hypothermia[^19][^7]
+
+
+## Building a Sustainable Winter Wardrobe
+
+### Capsule Wardrobe Approach
+
+Create an efficient winter wardrobe with **15-20 core pieces** that mix and match effectively. This approach includes:[^22]
+
+- **5-6 comfortable tops** in coordinating colors
+- **2-3 warm sweaters** or cardigans
+- **1-2 quality outerwear pieces** for different temperature ranges
+- **Seasonal accessories** including hats, gloves, and scarves
+
+
+### Budget-Conscious Strategies
+
+Maximize your winter clothing budget through strategic shopping:
+
+- **Buy off-season** to capture significant discounts on quality items[^23]
+- **Size up** for snowsuits to extend usability across growing seasons[^23]
+- **Invest in quality basics** that serve multiple seasons and children[^24]
+- **Consider multi-packs** for frequently changed items like base layers and socks[^25]
+
+
+## Temperature-Specific Guidelines
+
+### Mild Winter Days (0°C to 5°C)
+
+- Light base layer
+- Fleece or wool sweater
+- Water-resistant jacket
+- Regular winter accessories
+
+
+### Cold Days (-5°C to -10°C)
+
+- Thermal base layer
+- Insulating mid-layer
+- Insulated winter coat
+- Waterproof boots
+- Complete accessory set
+
+
+### Extreme Cold (Below -10°C)
+
+- Merino wool base layer
+- Multiple insulating layers
+- High-performance winter coat
+- Insulated, waterproof boots rated for extreme temperatures
+- Face protection and quality mittens
+
+This winter, focus on creating a wardrobe that balances **functionality, safety, and style**. By understanding proper layering techniques, embracing current trends thoughtfully, and prioritizing quality in key pieces, you can ensure your children stay comfortable and confident throughout the cold season. Remember that the best winter wardrobe is one that allows children to play actively outdoors while maintaining their health and happiness.[^26][^19]
+
+
+⁂
+
+[^1]: https://miregalia.com/blogs/articles/whats-actually-trending-in-kids-clothes-a-parents-guide-for-2025
+
+[^2]: https://www.growildkindergarten.co.uk/wild-blog/how-to-layer-up-you-child-for-winter-adventures
+
+[^3]: https://www.polarnopyret.com/en/uk/pop-magazine/the-layering-principle
+
+[^4]: https://kanikachaddagupta.com/what-fabrics-are-best-for-kids-to-wear-in-the-winter/
+
+[^5]: https://thrivekidswear.com/blogs/blog/the-best-clothing-materials-for-kids-clothes
+
+[^6]: https://parttimetourists.com/how-to-dress-your-babies-toddlers-kids-in-winter-layers-with-budget-options/
+
+[^7]: https://www.kernodle.com/pediatrics_blog/8-winter-safety-tips-for-kids/
+
+[^8]: https://www.usd453.org/post-details/~board/health-and-wellness/post/cold-weather-safety-tips-for-keeping-your-children-warm-and-protected
+
+[^9]: https://maake.com/blogs/fabric/kids-fabric-choices
+
+[^10]: https://adventuretravelfamily.com/what-kids-coat-is-the-best/
+
+[^11]: https://www.reima.com/en/collections/kids-winter-jackets
+
+[^12]: https://www.kindercare.com/content-hub/articles/2016/november/winter-rules-the-art-of-dressing-your-kids-for-the-cold
+
+[^13]: https://boldandko.com/kids-fashion-clothing-brands-designers-trends-for-2025/
+
+[^14]: https://batswadi.co.za/stay-cozy-stylish-winter-wardrobe-essentials-for-kids/
+
+[^15]: https://theneguide.com/snow-gear-for-toddlers/
+
+[^16]: https://www.reddit.com/r/toddlers/comments/164lb1t/parents_of_toddlers_in_wintery_areas_clothing/
+
+[^17]: https://www.reima.com/en/collections/kids-winter-boots
+
+[^18]: https://anyasreviews.com/barefoot-minimalist-kids-boots/
+
+[^19]: https://www.nationwidechildrens.org/family-resources-education/700childrens/2021/12/winter-safety
+
+[^20]: https://janandjul.com/product-category/accessories/kids-winter-accessories/
+
+[^21]: https://www.mybaba.com/winter-accessories-for-kids/
+
+[^22]: https://modernminimalism.com/how-to-create-kids-capsule-wardrobe/
+
+[^23]: https://gardenbetty.com/how-to-dress-adventure-babies-for-cold-winter-weather/
+
+[^24]: https://ourdaysoutside.com/affordable-winter-clothes-for-kids/
+
+[^25]: https://www.jojomamanbebe.co.uk/little-extras/kids/winter-capsule-wardrobe
+
+[^26]: https://cottonwoodpeds.com/winter-safety-tips/
+
+[^27]: https://www.voguescandinavia.com/articles/autumn-essentials-for-children
+
+[^28]: https://www.trendbible.com/trendbooks/baby-kids-autumn-winter-2025-26-forecast/
+
+[^29]: https://thecarseatlady.com/warmandsafe/
+
+[^30]: https://pilguni.com/blogs/blog-posts-and-news/children-s-winter-fashion-trends-2025-warmth-meets-style
+
+[^31]: https://www.reddit.com/r/daddit/comments/1gkaa1a/toddler_winter_jackets/
+
+[^32]: https://www.instagram.com/p/DKvLI8ds6YW/
+
+[^33]: https://www.gulfkiddievibes.com/winter-kids-clothing-essentials/
+
+[^34]: https://www.patagonia.com/shop/kids-baby/babies-toddlers/jackets-vests
+
+[^35]: https://www.ikks.com/en/generation-ikks/lookbook-junior/
+
+[^36]: https://trendyfashionguide.com/kids-fashion-guide/
+
+[^37]: https://www.uniqlo.com/us/en/baby/toddler/outerwear
+
+[^38]: https://www.modacable.com/category/fashion-trend-forecast/kidswear-fashion-trends/2025-26-kidswear/
+
+[^39]: https://www.carters.com/crib-notes-blog/parenting/how-to-dress-toddlers-for-winter-weather
+
+[^40]: https://www.weareoutgrown.org/resources/69887/winter-layering-basics
+
+[^41]: https://pmc.ncbi.nlm.nih.gov/articles/PMC2794526/
+
+[^42]: https://himmelclothing.com/blogs/news/how-to-choose-the-best-fabrics-for-kidswear
+
+[^43]: https://eu.patagonia.com/pt/en/stories/fitzs-fall-layering-system-suggestions-for-dressing-your-child-in-the-cold/story-17839.html
+
+[^44]: https://www.cozmobrand.com/en-eu/blogs/journal/the-top-soft-fabrics-you-need-in-your-kids-wardrobe
+
+[^45]: https://www.isbjornofsweden.com/en/layer-on-layer
+
+[^46]: https://www.healthychildren.org/English/safety-prevention/on-the-go/Pages/Winter-Car-Seat-Safety-Tips.aspx
+
+[^47]: https://www.heatholders.com/blogs/wow/best-fabrics-for-winter-clothing
+
+[^48]: https://www.dreampairs.com/blogs/news/best-winter-shoes-for-kids
+
+[^49]: https://www.gap.com/shop/kids-winter-accessories-0aaz04a
+
+[^50]: https://skiingkid.com/best-kids-snow-boots/
+
+[^51]: https://www.matalan.co.uk/kids/accessories/hats.list
+
+[^52]: https://www.nytimes.com/wirecutter/reviews/best-kids-rain-snow-boots/
+
+[^53]: https://www.next.co.uk/shop/gender-oldergirls-gender-youngergirls-productaffiliation-hatsglovesscarves-0
+
+[^54]: https://www.forbes.com/sites/forbes-personal-shopper/article/best-kids-shoes/
+
+[^55]: https://www.thenorthface.com/en-us/c/kids/featured/shop-all-kids-accessories-351276
+
+[^56]: https://www.whattoexpect.com/toddler/winter-wear-for-toddlers.aspx
+
+[^57]: https://donacarmen.com/en/blogs/news/discover-the-best-winter-shoes-for-children
+
+[^58]: https://www.monsoon.co.uk/children/childrens-accessories/childrens-gloves--hats-scarves/
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_fashion_catalog_with_trends.md b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/fashion-articles/fashion-articles_fashion_catalog_with_trends.md
new file mode 100644
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@@ -0,0 +1,317 @@
+|SKU|Product_Name|Brand|Gender|Category|Subcategory|Color|Pattern|Material|Sizes_Available|Fit|Price_USD|Discount_Percent|Country_of_Origin|In_Stock|Stock_Quantity|Fashion_Trend_2025|
+|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
+|MEN-0001|Urban Thread Men's Solid T-Shirts|Urban Thread|Men|Clothing|T-Shirts|Red|Solid|Cotton|XS, S, M, L, XL, XXL|Tailored Fit|63.47|0|Vietnam|No|0|Oversized Silhouette Trend - Winter 2025's comfort-focused fashion with relaxed fits|
+|MEN-0002|Classic Fit Men's Printed Shirts|Classic Fit|Men|Clothing|Shirts|Blue|Printed|Denim|XS, S, M, L, XL, XXL|True to Size|145.62|0|Turkey|Yes|96|Refined Knitwear Layering - Mid-layer sophistication for winter styling|
+|MEN-0003|Sport Elite Men's Solid Jeans|Sport Elite|Men|Clothing|Jeans|Olive|Solid|Polyester|XS, S, M, L, XL, XXL|Relaxed Fit|93.01|15|Portugal|Yes|17|Casual Sophistication - Foundation for oversized outerwear combinations|
+|MEN-0004|Urban Thread Men's Geometric Trousers|Urban Thread|Men|Clothing|Trousers|Burgundy|Geometric|Leather|XS, S, M, L, XL, XXL|Slim Fit|42.4|0|Vietnam|Yes|19|Tailored Experimentation - Bold patterns and innovative textures in formal wear|
+|MEN-0005|Classic Fit Men's Plaid Jackets|Classic Fit|Men|Clothing|Jackets|Purple|Plaid|Leather|XS, S, M, L, XL, XXL|Slim Fit|81.16|0|India|No|0|Fleece-Lined Luxury - Understated sophistication with functional warmth|
+|MEN-0006|Sport Elite Men's Striped Sweaters|Sport Elite|Men|Clothing|Sweaters|Burgundy|Striped|Nylon|XS, S, M, L, XL, XXL|Relaxed Fit|95.96|0|China|Yes|32|Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles|
+|MEN-0007|Urban Thread Men's Checked Hoodies|Urban Thread|Men|Clothing|Hoodies|Navy|Checked|Suede|XS, S, M, L, XL, XXL|Slim Fit|27.74|0|India|Yes|69|Tech-Knit Innovation - Performance fabrics for modern winter dressing|
+|MEN-0008|Classic Fit Men's Checked Shorts|Classic Fit|Men|Clothing|Shorts|Pink|Checked|Polyester|XS, S, M, L, XL, XXL|Tailored Fit|48.78|30|USA|Yes|153|Color Blocking Accents - Vibrant spring 2025 color statement pieces|
+|MEN-0009|Sport Elite Men's Geometric Suits|Sport Elite|Men|Clothing|Suits|Black|Geometric|Silk|XS, S, M, L, XL, XXL|Athletic Fit|89.95|30|Vietnam|No|0|Burgundy Sophistication - Wine-colored suits for winter depth and elegance|
+|MEN-0010|Urban Thread Men's Plaid T-Shirts|Urban Thread|Men|Clothing|T-Shirts|Olive|Plaid|Nylon|XS, S, M, L, XL, XXL|Athletic Fit|62.51|0|Portugal|Yes|27|Layering Foundation - Essential base layer for smart winter layering systems|
+|MEN-0011|Classic Fit Men's Checked Shirts|Classic Fit|Men|Clothing|Shirts|Navy|Checked|Leather|XS, S, M, L, XL, XXL|Slim Fit|130.98|0|India|Yes|64|Refined Knitwear Layering - Mid-layer sophistication for winter styling|
+|MEN-0012|Sport Elite Men's Striped Jeans|Sport Elite|Men|Clothing|Jeans|Brown|Striped|Cotton|XS, S, M, L, XL, XXL|Relaxed Fit|75.08|0|Italy|Yes|146|Tapered-Leg Evolution - Modern silhouette replacing skinny jeans|
+|MEN-0013|Urban Thread Men's Plaid Trousers|Urban Thread|Men|Clothing|Trousers|Green|Plaid|Denim|XS, S, M, L, XL, XXL|True to Size|72.61|0|Italy|Yes|186|Proportion Management - Fitted bottoms to balance oversized outerwear|
+|MEN-0014|Classic Fit Men's Geometric Jackets|Classic Fit|Men|Clothing|Jackets|Grey|Geometric|Silk|XS, S, M, L, XL, XXL|Tailored Fit|39.19|30|USA|Yes|103|Fleece-Lined Luxury - Understated sophistication with functional warmth|
+|MEN-0015|Sport Elite Men's Checked Sweaters|Sport Elite|Men|Clothing|Sweaters|Navy|Checked|Polyester|XS, S, M, L, XL, XXL|Relaxed Fit|97.55|0|Italy|Yes|130|Half-Zip Fisherman Style - Refined knitwear for temperature versatility|
+|MEN-0016|Urban Thread Men's Solid Hoodies|Urban Thread|Men|Clothing|Hoodies|Grey|Solid|Leather|XS, S, M, L, XL, XXL|Tailored Fit|45.75|10|Turkey|Yes|141|Oversized Comfort Trend - Relaxed fit prioritizing comfort during active wear|
+|MEN-0017|Classic Fit Men's Striped Shorts|Classic Fit|Men|Clothing|Shorts|Yellow|Striped|Suede|XS, S, M, L, XL, XXL|Athletic Fit|80.76|0|Italy|Yes|71|Transitional Spring Pieces - Sustainable fabrics for seasonal versatility|
+|MEN-0018|Sport Elite Men's Checked Suits|Sport Elite|Men|Clothing|Suits|Beige|Checked|Denim|XS, S, M, L, XL, XXL|Slim Fit|43.29|25|Italy|Yes|147|Classic Suit Goes Wild - Asymmetrical cuts and experimental silhouettes|
+|MEN-0019|Urban Thread Men's Printed T-Shirts|Urban Thread|Men|Clothing|T-Shirts|Green|Printed|Leather|XS, S, M, L, XL, XXL|Relaxed Fit|40.22|30|India|No|0|Layering Foundation - Essential base layer for smart winter layering systems|
+|MEN-0020|Classic Fit Men's Printed Shirts|Classic Fit|Men|Clothing|Shirts|Pink|Printed|Suede|XS, S, M, L, XL, XXL|Slim Fit|77.94|0|Bangladesh|Yes|192|Classic Tailoring Renaissance - Reimagined traditional tailoring with modern twist|
+|MEN-0021|Sport Elite Men's Solid Jeans|Sport Elite|Men|Clothing|Jeans|Grey|Solid|Leather|XS, S, M, L, XL, XXL|Tailored Fit|118.52|0|Vietnam|Yes|103|Casual Sophistication - Foundation for oversized outerwear combinations|
+|MEN-0022|Urban Thread Men's Checked Trousers|Urban Thread|Men|Clothing|Trousers|Red|Checked|Denim|XS, S, M, L, XL, XXL|Relaxed Fit|73.44|0|China|Yes|45|Tailored Experimentation - Bold patterns and innovative textures in formal wear|
+|MEN-0023|Classic Fit Men's Striped Jackets|Classic Fit|Men|Clothing|Jackets|White|Striped|Nylon|XS, S, M, L, XL, XXL|Slim Fit|96.16|10|Turkey|Yes|101|Fleece-Lined Luxury - Understated sophistication with functional warmth|
+|MEN-0024|Sport Elite Men's Floral Sweaters|Sport Elite|Men|Clothing|Sweaters|White|Floral|Cotton|XS, S, M, L, XL, XXL|Slim Fit|107.36|0|Italy|Yes|152|Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles|
+|MEN-0025|Urban Thread Men's Checked Hoodies|Urban Thread|Men|Clothing|Hoodies|Olive|Checked|Nylon|XS, S, M, L, XL, XXL|Slim Fit|83.71|15|Vietnam|Yes|182|Hybrid Outerwear Approach - Half-puffer, half-hoodie winter-proof styling|
+|MEN-0026|Classic Fit Men's Checked Shorts|Classic Fit|Men|Clothing|Shorts|Purple|Checked|Wool|XS, S, M, L, XL, XXL|Regular Fit|86.7|0|Italy|Yes|143|Athleisure Vibe - Spring 2025 cycling shorts trend influence|
+|MEN-0027|Sport Elite Men's Solid Suits|Sport Elite|Men|Clothing|Suits|White|Solid|Spandex|XS, S, M, L, XL, XXL|Athletic Fit|103.08|0|India|No|0|Classic Suit Goes Wild - Asymmetrical cuts and experimental silhouettes|
+|MEN-0028|Urban Thread Men's Floral T-Shirts|Urban Thread|Men|Clothing|T-Shirts|Green|Floral|Nylon|XS, S, M, L, XL, XXL|Athletic Fit|29.32|0|China|Yes|47|Layering Foundation - Essential base layer for smart winter layering systems|
+|MEN-0029|Classic Fit Men's Solid Shirts|Classic Fit|Men|Clothing|Shirts|Beige|Solid|Denim|XS, S, M, L, XL, XXL|Slim Fit|144.74|30|Italy|Yes|102|Classic Tailoring Renaissance - Reimagined traditional tailoring with modern twist|
+|MEN-0030|Sport Elite Men's Geometric Jeans|Sport Elite|Men|Clothing|Jeans|Black|Geometric|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|97.74|10|Portugal|Yes|101|Casual Sophistication - Foundation for oversized outerwear combinations|
+|MEN-0031|Urban Thread Men's Checked Trousers|Urban Thread|Men|Clothing|Trousers|Yellow|Checked|Spandex|XS, S, M, L, XL, XXL|True to Size|58.27|15|Portugal|Yes|96|Wide-Leg Volumes - Relaxed fit trousers from Louis Vuitton influence|
+|MEN-0032|Classic Fit Men's Checked Jackets|Classic Fit|Men|Clothing|Jackets|Burgundy|Checked|Wool|XS, S, M, L, XL, XXL|Tailored Fit|115.2|0|Portugal|Yes|9|Leather Jacket Layering - Streetwear-meets-tailoring aesthetic|
+|MEN-0033|Sport Elite Men's Solid Sweaters|Sport Elite|Men|Clothing|Sweaters|Black|Solid|Polyester|XS, S, M, L, XL, XXL|True to Size|107.84|0|Vietnam|Yes|126|Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles|
+|MEN-0034|Urban Thread Men's Striped Hoodies|Urban Thread|Men|Clothing|Hoodies|Green|Striped|Nylon|XS, S, M, L, XL, XXL|Relaxed Fit|56.42|0|China|Yes|152|Tech-Knit Innovation - Performance fabrics for modern winter dressing|
+|MEN-0035|Classic Fit Men's Solid Shorts|Classic Fit|Men|Clothing|Shorts|Green|Solid|Silk|XS, S, M, L, XL, XXL|Relaxed Fit|100.95|0|Vietnam|No|0|Transitional Spring Pieces - Sustainable fabrics for seasonal versatility|
+|MEN-0036|Urban Thread Men's Sneakers|Urban Thread|Men|Shoes|Sneakers|Blue|Checked|Leather|7, 8, 9, 10, 11, 12|Tailored Fit|82.68|0|Portugal|No|0|Multicolor Trend - Patchwork and embroidery for confident self-expression|
+|MEN-0037|Classic Fit Men's Formal Shoes|Classic Fit|Men|Shoes|Formal Shoes|Blue|Striped|Suede|7, 8, 9, 10, 11, 12|Regular Fit|182.16|0|China|Yes|80|Premium Leather Investment - Quality footwear combining style and function|
+|MEN-0038|Sport Elite Men's Boots|Sport Elite|Men|Shoes|Boots|Blue|Printed|Polyester|7, 8, 9, 10, 11, 12|Relaxed Fit|117.26|0|Portugal|No|0|Waterproof Technology - Technical performance without sacrificing style|
+|MEN-0039|Urban Thread Men's Loafers|Urban Thread|Men|Shoes|Loafers|Burgundy|Printed|Silk|7, 8, 9, 10, 11, 12|True to Size|120.93|0|India|Yes|98|Refined Casualwear - Versatile elegance for mix-and-match styling|
+|MEN-0040|Classic Fit Men's Sandals|Classic Fit|Men|Shoes|Sandals|Olive|Geometric|Linen|7, 8, 9, 10, 11, 12|Tailored Fit|197.54|0|Bangladesh|Yes|106|Natural Fiber Focus - Hemp and organic materials|
+|MEN-0041|Sport Elite Men's Sneakers|Sport Elite|Men|Shoes|Sneakers|Charcoal|Plaid|Linen|7, 8, 9, 10, 11, 12|Slim Fit|90.77|0|Bangladesh|Yes|190|Multicolor Trend - Patchwork and embroidery for confident self-expression|
+|MEN-0042|Urban Thread Men's Formal Shoes|Urban Thread|Men|Shoes|Formal Shoes|Blue|Striped|Suede|7, 8, 9, 10, 11, 12|Relaxed Fit|78.85|0|India|Yes|90|Chelsea Boot Elegance - Thermal-lined slip-on convenience with style|
+|MEN-0043|Classic Fit Men's Boots|Classic Fit|Men|Shoes|Boots|Pink|Geometric|Suede|7, 8, 9, 10, 11, 12|Tailored Fit|80.06|0|India|Yes|110|Waterproof Technology - Technical performance without sacrificing style|
+|MEN-0044|Sport Elite Men's Loafers|Sport Elite|Men|Shoes|Loafers|Pink|Geometric|Polyester|7, 8, 9, 10, 11, 12|Relaxed Fit|108.72|0|Italy|Yes|130|Natural Materials Focus - Quality leather for sustainable investment|
+|MEN-0045|Urban Thread Men's Sandals|Urban Thread|Men|Shoes|Sandals|Pink|Plaid|Wool|7, 8, 9, 10, 11, 12|Tailored Fit|72.76|0|India|Yes|72|Casual Sophistication - Eco-conscious summer transition pieces|
+|MEN-0046|Classic Fit Men's Sneakers|Classic Fit|Men|Shoes|Sneakers|Charcoal|Floral|Linen|7, 8, 9, 10, 11, 12|Athletic Fit|126.92|0|Italy|Yes|14|Sustainable Footwear - Eco-friendly materials in spring 2025 trends|
+|MEN-0047|Sport Elite Men's Formal Shoes|Sport Elite|Men|Shoes|Formal Shoes|Charcoal|Striped|Polyester|7, 8, 9, 10, 11, 12|Athletic Fit|125.43|0|Italy|Yes|43|Chelsea Boot Elegance - Thermal-lined slip-on convenience with style|
+|MEN-0048|Urban Thread Men's Boots|Urban Thread|Men|Shoes|Boots|White|Geometric|Polyester|7, 8, 9, 10, 11, 12|Relaxed Fit|98.06|0|Bangladesh|Yes|70|Waterproof Technology - Technical performance without sacrificing style|
+|MEN-0049|Classic Fit Men's Loafers|Classic Fit|Men|Shoes|Loafers|Navy|Checked|Wool|7, 8, 9, 10, 11, 12|Relaxed Fit|101.59|10|Italy|Yes|67|Natural Materials Focus - Quality leather for sustainable investment|
+|MEN-0050|Sport Elite Men's Sandals|Sport Elite|Men|Shoes|Sandals|White|Printed|Spandex|7, 8, 9, 10, 11, 12|Tailored Fit|163.51|0|India|Yes|198|Natural Fiber Focus - Hemp and organic materials|
+|MEN-0051|Urban Thread Men's Sneakers|Urban Thread|Men|Shoes|Sneakers|Blue|Checked|Wool|7, 8, 9, 10, 11, 12|True to Size|106.71|0|Portugal|Yes|25|Multicolor Trend - Patchwork and embroidery for confident self-expression|
+|MEN-0052|Classic Fit Men's Formal Shoes|Classic Fit|Men|Shoes|Formal Shoes|Red|Checked|Wool|7, 8, 9, 10, 11, 12|Regular Fit|191.23|0|Bangladesh|Yes|68|Classic Tailoring Foundation - Essential companion to reimagined suiting|
+|MEN-0053|Sport Elite Men's Boots|Sport Elite|Men|Shoes|Boots|Beige|Solid|Suede|7, 8, 9, 10, 11, 12|True to Size|128.44|0|Bangladesh|Yes|182|Chunky Leather Boots - Workwear-inspired with superior traction|
+|MEN-0054|Urban Thread Men's Loafers|Urban Thread|Men|Shoes|Loafers|White|Striped|Wool|7, 8, 9, 10, 11, 12|Tailored Fit|59.52|0|Turkey|Yes|161|Refined Casualwear - Versatile elegance for mix-and-match styling|
+|MEN-0055|Classic Fit Men's Sandals|Classic Fit|Men|Shoes|Sandals|Burgundy|Floral|Canvas|7, 8, 9, 10, 11, 12|Athletic Fit|121.31|0|Vietnam|Yes|26|Spring Comfort Trend - Lightweight sustainable materials|
+|MEN-0056|Sport Elite Men's Sneakers|Sport Elite|Men|Shoes|Sneakers|Red|Checked|Linen|7, 8, 9, 10, 11, 12|Regular Fit|130.94|0|China|Yes|174|Multicolor Trend - Patchwork and embroidery for confident self-expression|
+|MEN-0057|Urban Thread Men's Formal Shoes|Urban Thread|Men|Shoes|Formal Shoes|Purple|Checked|Spandex|7, 8, 9, 10, 11, 12|Relaxed Fit|76.12|0|Bangladesh|Yes|58|Chelsea Boot Elegance - Thermal-lined slip-on convenience with style|
+|MEN-0058|Classic Fit Men's Boots|Classic Fit|Men|Shoes|Boots|Green|Printed|Silk|7, 8, 9, 10, 11, 12|Slim Fit|145.66|20|Turkey|Yes|47|Waterproof Technology - Technical performance without sacrificing style|
+|MEN-0059|Sport Elite Men's Loafers|Sport Elite|Men|Shoes|Loafers|Charcoal|Checked|Wool|7, 8, 9, 10, 11, 12|Regular Fit|120.06|30|Turkey|Yes|176|Natural Materials Focus - Quality leather for sustainable investment|
+|MEN-0060|Urban Thread Men's Sandals|Urban Thread|Men|Shoes|Sandals|Charcoal|Geometric|Polyester|7, 8, 9, 10, 11, 12|Regular Fit|106.81|0|China|Yes|69|Natural Fiber Focus - Hemp and organic materials|
+|MEN-0061|Classic Fit Men's Sneakers|Classic Fit|Men|Shoes|Sneakers|Blue|Solid|Silk|7, 8, 9, 10, 11, 12|Regular Fit|83.35|0|Bangladesh|No|0|Multicolor Trend - Patchwork and embroidery for confident self-expression|
+|MEN-0062|Sport Elite Men's Formal Shoes|Sport Elite|Men|Shoes|Formal Shoes|Purple|Striped|Suede|7, 8, 9, 10, 11, 12|Tailored Fit|119.2|20|Turkey|Yes|146|Classic Tailoring Foundation - Essential companion to reimagined suiting|
+|MEN-0063|Urban Thread Men's Boots|Urban Thread|Men|Shoes|Boots|Red|Striped|Nylon|7, 8, 9, 10, 11, 12|Slim Fit|50.36|10|Portugal|No|0|Waterproof Technology - Technical performance without sacrificing style|
+|MEN-0064|Classic Fit Men's Loafers|Classic Fit|Men|Shoes|Loafers|White|Printed|Cotton|7, 8, 9, 10, 11, 12|Slim Fit|119.67|25|Portugal|Yes|91|Transitional Styling - Spring 2025 versatility across seasons|
+|MEN-0065|Sport Elite Men's Sandals|Sport Elite|Men|Shoes|Sandals|Black|Checked|Canvas|7, 8, 9, 10, 11, 12|Relaxed Fit|168.96|0|Portugal|No|0|Spring Comfort Trend - Lightweight sustainable materials|
+|MEN-0066|Urban Thread Men's Sneakers|Urban Thread|Men|Shoes|Sneakers|Grey|Floral|Cotton|7, 8, 9, 10, 11, 12|Tailored Fit|127.34|10|India|Yes|172|Chunky Sole Movement - Workwear-inspired boots with thick soles|
+|MEN-0067|Classic Fit Men's Formal Shoes|Classic Fit|Men|Shoes|Formal Shoes|Blue|Floral|Spandex|7, 8, 9, 10, 11, 12|Athletic Fit|90.91|10|Bangladesh|Yes|73|Chelsea Boot Elegance - Thermal-lined slip-on convenience with style|
+|MEN-0068|Sport Elite Men's Boots|Sport Elite|Men|Shoes|Boots|Charcoal|Geometric|Linen|7, 8, 9, 10, 11, 12|Tailored Fit|93.21|0|Portugal|Yes|7|Winter Functionality - Strategic footwear for extreme cold conditions|
+|MEN-0069|Urban Thread Men's Loafers|Urban Thread|Men|Shoes|Loafers|Olive|Solid|Silk|7, 8, 9, 10, 11, 12|Tailored Fit|50.69|0|Vietnam|Yes|115|Refined Casualwear - Versatile elegance for mix-and-match styling|
+|MEN-0070|Classic Fit Men's Sandals|Classic Fit|Men|Shoes|Sandals|Green|Geometric|Wool|7, 8, 9, 10, 11, 12|Tailored Fit|154.98|0|Bangladesh|Yes|114|Natural Fiber Focus - Hemp and organic materials|
+|MEN-0071|Urban Thread Men's Belts|Urban Thread|Men|Accessories|Belts|Olive|Printed|Linen|XS, S, M, L, XL, XXL|True to Size|44.86|15|Portugal|Yes|108|Natural Materials Investment - Quality leather for longevity|
+|MEN-0072|Classic Fit Men's Wallets|Classic Fit|Men|Accessories|Wallets|Beige|Plaid|Nylon|XS, S, M, L, XL, XXL|True to Size|76.34|0|Portugal|Yes|30|Minimalist Luxury - Refined accessories for modern masculine style|
+|MEN-0073|Sport Elite Men's Watches|Sport Elite|Men|Accessories|Watches|Pink|Striped|Wool|XS, S, M, L, XL, XXL|Relaxed Fit|19.61|10|Portugal|No|0|Minimalist Sophistication - Clean design for versatile styling|
+|MEN-0074|Urban Thread Men's Caps|Urban Thread|Men|Accessories|Caps|Grey|Checked|Cotton|XS, S, M, L, XL, XXL|True to Size|17.97|15|Bangladesh|Yes|96|Casual Winter Accessories - Practical head protection with style|
+|MEN-0075|Classic Fit Men's Scarves|Classic Fit|Men|Accessories|Scarves|Pink|Printed|Suede|XS, S, M, L, XL, XXL|Slim Fit|94.96|0|Bangladesh|Yes|182|Layering Sophistication - Advanced winter styling technique|
+|MEN-0076|Sport Elite Men's Sunglasses|Sport Elite|Men|Accessories|Sunglasses|Red|Checked|Leather|XS, S, M, L, XL, XXL|Tailored Fit|28.3|0|Bangladesh|Yes|141|Spring Accessory Essential - UV protection with fashion-forward design|
+|MEN-0077|Urban Thread Men's Bags|Urban Thread|Men|Accessories|Bags|Pink|Solid|Silk|XS, S, M, L, XL, XXL|Relaxed Fit|24.41|0|Bangladesh|Yes|25|Sustainable Fashion Choice - Quality pieces over fast fashion|
+|MEN-0078|Classic Fit Men's Belts|Classic Fit|Men|Accessories|Belts|Beige|Checked|Denim|XS, S, M, L, XL, XXL|Slim Fit|128.06|0|USA|Yes|193|Tailoring Accent - Essential detail for sophisticated silhouettes|
+|MEN-0079|Sport Elite Men's Wallets|Sport Elite|Men|Accessories|Wallets|Red|Solid|Leather|XS, S, M, L, XL, XXL|True to Size|67.31|10|Italy|Yes|119|Leather Craftsmanship - Premium materials investment|
+|MEN-0080|Urban Thread Men's Watches|Urban Thread|Men|Accessories|Watches|Black|Floral|Nylon|XS, S, M, L, XL, XXL|True to Size|70.7|10|India|Yes|34|Timeless Investment - Classic pieces transcending seasonal trends|
+|MEN-0081|Classic Fit Men's Caps|Classic Fit|Men|Accessories|Caps|Grey|Striped|Suede|XS, S, M, L, XL, XXL|Tailored Fit|34.64|0|Turkey|Yes|37|Casual Winter Accessories - Practical head protection with style|
+|MEN-0082|Sport Elite Men's Scarves|Sport Elite|Men|Accessories|Scarves|White|Floral|Canvas|XS, S, M, L, XL, XXL|Relaxed Fit|34.06|0|Vietnam|No|0|Colorblock Personality - Inject color into neutral winter outfits|
+|MEN-0083|Urban Thread Men's Sunglasses|Urban Thread|Men|Accessories|Sunglasses|Purple|Solid|Spandex|XS, S, M, L, XL, XXL|Slim Fit|71.55|15|Turkey|Yes|22|Metal and Acetate Frames - Bridge traditional and modern styling|
+|MEN-0084|Classic Fit Men's Bags|Classic Fit|Men|Accessories|Bags|Olive|Checked|Suede|XS, S, M, L, XL, XXL|Relaxed Fit|61.78|0|Bangladesh|Yes|158|Leather Investment - Premium materials for everyday reliability|
+|MEN-0085|Sport Elite Men's Belts|Sport Elite|Men|Accessories|Belts|Beige|Solid|Denim|XS, S, M, L, XL, XXL|Regular Fit|80.13|10|Bangladesh|Yes|44|Tailoring Accent - Essential detail for sophisticated silhouettes|
+|MEN-0086|Urban Thread Men's Wallets|Urban Thread|Men|Accessories|Wallets|Burgundy|Geometric|Canvas|XS, S, M, L, XL, XXL|True to Size|48.23|25|USA|Yes|200|Leather Craftsmanship - Premium materials investment|
+|MEN-0087|Classic Fit Men's Watches|Classic Fit|Men|Accessories|Watches|Grey|Geometric|Cotton|XS, S, M, L, XL, XXL|Tailored Fit|29.1|0|Bangladesh|Yes|42|Minimalist Sophistication - Clean design for versatile styling|
+|MEN-0088|Sport Elite Men's Caps|Sport Elite|Men|Accessories|Caps|Black|Printed|Wool|XS, S, M, L, XL, XXL|True to Size|47.84|0|USA|Yes|59|Athleisure Integration - Sport Elite performance meets fashion|
+|MEN-0089|Urban Thread Men's Scarves|Urban Thread|Men|Accessories|Scarves|Olive|Checked|Silk|XS, S, M, L, XL, XXL|Relaxed Fit|64.87|0|Italy|Yes|54|Wool Scarf Essential - Dual-purpose warmth and style enhancement|
+|MEN-0090|Classic Fit Men's Sunglasses|Classic Fit|Men|Accessories|Sunglasses|Purple|Plaid|Denim|XS, S, M, L, XL, XXL|Tailored Fit|40.65|20|USA|Yes|83|Spring Accessory Essential - UV protection with fashion-forward design|
+|MEN-0091|Sport Elite Men's Bags|Sport Elite|Men|Accessories|Bags|White|Geometric|Wool|XS, S, M, L, XL, XXL|Slim Fit|85.98|25|Vietnam|No|0|Functional Minimalism - Practical accessories for modern lifestyle|
+|MEN-0092|Urban Thread Men's Belts|Urban Thread|Men|Accessories|Belts|Beige|Floral|Silk|XS, S, M, L, XL, XXL|Tailored Fit|65.31|25|Italy|No|0|Natural Materials Investment - Quality leather for longevity|
+|MEN-0093|Classic Fit Men's Wallets|Classic Fit|Men|Accessories|Wallets|Red|Striped|Polyester|XS, S, M, L, XL, XXL|Regular Fit|98.64|0|Portugal|Yes|22|Minimalist Luxury - Refined accessories for modern masculine style|
+|MEN-0094|Sport Elite Men's Watches|Sport Elite|Men|Accessories|Watches|Grey|Striped|Linen|XS, S, M, L, XL, XXL|Relaxed Fit|46.85|0|Vietnam|Yes|168|Minimalist Sophistication - Clean design for versatile styling|
+|MEN-0095|Urban Thread Men's Caps|Urban Thread|Men|Accessories|Caps|Grey|Geometric|Cotton|XS, S, M, L, XL, XXL|Relaxed Fit|36.62|25|Turkey|Yes|122|Casual Winter Accessories - Practical head protection with style|
+|MEN-0096|Classic Fit Men's Scarves|Classic Fit|Men|Accessories|Scarves|Navy|Checked|Nylon|XS, S, M, L, XL, XXL|Regular Fit|64.87|15|Vietnam|Yes|161|Colorblock Personality - Inject color into neutral winter outfits|
+|MEN-0097|Sport Elite Men's Sunglasses|Sport Elite|Men|Accessories|Sunglasses|Black|Printed|Canvas|XS, S, M, L, XL, XXL|Tailored Fit|64.39|0|China|Yes|21|Metal and Acetate Frames - Bridge traditional and modern styling|
+|MEN-0098|Urban Thread Men's Bags|Urban Thread|Men|Accessories|Bags|Burgundy|Solid|Wool|XS, S, M, L, XL, XXL|Athletic Fit|35.86|0|Portugal|Yes|124|Leather Investment - Premium materials for everyday reliability|
+|MEN-0099|Classic Fit Men's Belts|Classic Fit|Men|Accessories|Belts|Red|Plaid|Canvas|XS, S, M, L, XL, XXL|Tailored Fit|34.36|0|Bangladesh|Yes|164|Natural Materials Investment - Quality leather for longevity|
+|MEN-0100|Sport Elite Men's Wallets|Sport Elite|Men|Accessories|Wallets|Pink|Striped|Wool|XS, S, M, L, XL, XXL|True to Size|48.42|30|China|Yes|49|Sustainable Accessories - Ethical production practices|
+|MEN-0101|Urban Thread Men's Watches|Urban Thread|Men|Accessories|Watches|Navy|Printed|Canvas|XS, S, M, L, XL, XXL|Tailored Fit|16.37|0|Italy|Yes|51|Minimalist Sophistication - Clean design for versatile styling|
+|MEN-0102|Classic Fit Men's Caps|Classic Fit|Men|Accessories|Caps|Blue|Geometric|Suede|XS, S, M, L, XL, XXL|Athletic Fit|99.12|20|Bangladesh|Yes|135|Color Accent Opportunity - Pink Revolution in men's accessories|
+|MEN-0103|Sport Elite Men's Scarves|Sport Elite|Men|Accessories|Scarves|Red|Striped|Cotton|XS, S, M, L, XL, XXL|Athletic Fit|60.65|0|Italy|Yes|190|Layering Sophistication - Advanced winter styling technique|
+|MEN-0104|Urban Thread Men's Sunglasses|Urban Thread|Men|Accessories|Sunglasses|Black|Floral|Canvas|XS, S, M, L, XL, XXL|True to Size|19.11|0|China|Yes|28|Sustainable Materials - Eco-conscious eyewear options|
+|MEN-0105|Classic Fit Men's Bags|Classic Fit|Men|Accessories|Bags|White|Striped|Denim|XS, S, M, L, XL, XXL|Athletic Fit|37.1|0|Italy|Yes|98|Sustainable Fashion Choice - Quality pieces over fast fashion|
+|WOM-0001|Urban Thread Women's Geometric Dresses|Urban Thread|Women|Clothing|Dresses|Grey|Geometric|Nylon|XS, S, M, L, XL, XXL|Athletic Fit|26.25|0|Turkey|Yes|21|Dress-Over-Trousers - Standout styling technique for winter 2025|
+|WOM-0002|Classic Fit Women's Striped Tops|Classic Fit|Women|Clothing|Tops|Burgundy|Striped|Spandex|XS, S, M, L, XL, XXL|Regular Fit|147.46|10|Portugal|Yes|176|Cutout Details Spring - Strategic cutouts for sophisticated spring 2025|
+|WOM-0003|Sport Elite Women's Floral Blouses|Sport Elite|Women|Clothing|Blouses|Yellow|Floral|Suede|XS, S, M, L, XL, XXL|Athletic Fit|46.1|0|China|Yes|109|Silk Base Layers - Natural insulation with elegant drape|
+|WOM-0004|Urban Thread Women's Solid Jeans|Urban Thread|Women|Clothing|Jeans|Brown|Solid|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|37.31|0|Bangladesh|Yes|192|Sustainable Denim - Organic cotton and responsible production|
+|WOM-0005|Classic Fit Women's Plaid Trousers|Classic Fit|Women|Clothing|Trousers|Blue|Plaid|Wool|XS, S, M, L, XL, XXL|True to Size|120.22|0|Italy|Yes|56|Structural Silhouettes - Oversized aesthetics for sophisticated layering|
+|WOM-0006|Sport Elite Women's Geometric Skirts|Sport Elite|Women|Clothing|Skirts|Blue|Geometric|Nylon|XS, S, M, L, XL, XXL|Tailored Fit|39.6|0|China|Yes|156|Texture Mixing - Corduroy and wool for visual depth|
+|WOM-0007|Urban Thread Women's Floral Jackets|Urban Thread|Women|Clothing|Jackets|Grey|Floral|Polyester|XS, S, M, L, XL, XXL|Regular Fit|69.25|0|USA|No|0|Faux Fur Revolution - Floor-sweeping luxury statement pieces|
+|WOM-0008|Classic Fit Women's Geometric Sweaters|Classic Fit|Women|Clothing|Sweaters|Brown|Geometric|Wool|XS, S, M, L, XL, XXL|Relaxed Fit|143.35|0|Turkey|Yes|88|Chunky Knit Layering - Texture mixing with sheer elements|
+|WOM-0009|Sport Elite Women's Checked Cardigans|Sport Elite|Women|Clothing|Cardigans|Yellow|Checked|Leather|XS, S, M, L, XL, XXL|Athletic Fit|100.3|0|Portugal|Yes|82|Texture Interest - Nubby wool for sophisticated ensembles|
+|WOM-0010|Urban Thread Women's Solid Dresses|Urban Thread|Women|Clothing|Dresses|Burgundy|Solid|Nylon|XS, S, M, L, XL, XXL|Relaxed Fit|51.24|30|USA|Yes|78|Dress-Over-Trousers - Standout styling technique for winter 2025|
+|WOM-0011|Classic Fit Women's Plaid Tops|Classic Fit|Women|Clothing|Tops|Navy|Plaid|Denim|XS, S, M, L, XL, XXL|Tailored Fit|39.25|20|Italy|Yes|192|Layering Foundation - Base layer for intelligent insulation approach|
+|WOM-0012|Sport Elite Women's Printed Blouses|Sport Elite|Women|Clothing|Blouses|Yellow|Printed|Leather|XS, S, M, L, XL, XXL|True to Size|37.07|20|Italy|Yes|56|Silk Base Layers - Natural insulation with elegant drape|
+|WOM-0013|Urban Thread Women's Striped Jeans|Urban Thread|Women|Clothing|Jeans|Pink|Striped|Leather|XS, S, M, L, XL, XXL|Athletic Fit|58.13|0|USA|Yes|48|High-Rise Styling - Winter 2025 rise and leg opening variations|
+|WOM-0014|Classic Fit Women's Floral Trousers|Classic Fit|Women|Clothing|Trousers|Burgundy|Floral|Canvas|XS, S, M, L, XL, XXL|Athletic Fit|74.21|10|India|Yes|88|Structural Silhouettes - Oversized aesthetics for sophisticated layering|
+|WOM-0015|Sport Elite Women's Plaid Skirts|Sport Elite|Women|Clothing|Skirts|Grey|Plaid|Leather|XS, S, M, L, XL, XXL|Regular Fit|87.95|25|India|Yes|112|Texture Mixing - Corduroy and wool for visual depth|
+|WOM-0016|Urban Thread Women's Checked Jackets|Urban Thread|Women|Clothing|Jackets|Yellow|Checked|Linen|XS, S, M, L, XL, XXL|Regular Fit|58.69|20|Vietnam|No|0|Luxe Puffer Evolution - Cinched waists and chic color palettes|
+|WOM-0017|Classic Fit Women's Striped Sweaters|Classic Fit|Women|Clothing|Sweaters|Grey|Striped|Linen|XS, S, M, L, XL, XXL|Regular Fit|121.3|0|India|Yes|99|Mocha Mousse Palette - Warm brown tones in premium knitwear|
+|WOM-0018|Sport Elite Women's Solid Cardigans|Sport Elite|Women|Clothing|Cardigans|Charcoal|Solid|Suede|XS, S, M, L, XL, XXL|Relaxed Fit|66.76|0|Bangladesh|No|0|Preppy Layering - Lightweight cardigans tied around shoulders|
+|WOM-0019|Urban Thread Women's Striped Dresses|Urban Thread|Women|Clothing|Dresses|Pink|Striped|Polyester|XS, S, M, L, XL, XXL|True to Size|55.36|0|Italy|Yes|146|Slip Dress Versatility - Layer with chunky sweaters and boots|
+|WOM-0020|Classic Fit Women's Plaid Tops|Classic Fit|Women|Clothing|Tops|Olive|Plaid|Denim|XS, S, M, L, XL, XXL|Relaxed Fit|110.62|30|Turkey|Yes|148|Cutout Details Spring - Strategic cutouts for sophisticated spring 2025|
+|WOM-0021|Sport Elite Women's Plaid Blouses|Sport Elite|Women|Clothing|Blouses|Brown|Plaid|Suede|XS, S, M, L, XL, XXL|Tailored Fit|102.16|0|USA|Yes|80|Preppy Collar Details - Multiple visible layers as styling features|
+|WOM-0022|Urban Thread Women's Solid Jeans|Urban Thread|Women|Clothing|Jeans|Grey|Solid|Leather|XS, S, M, L, XL, XXL|Slim Fit|63.9|15|Italy|Yes|90|High-Rise Styling - Winter 2025 rise and leg opening variations|
+|WOM-0023|Classic Fit Women's Geometric Trousers|Classic Fit|Women|Clothing|Trousers|Black|Geometric|Linen|XS, S, M, L, XL, XXL|Tailored Fit|90.04|15|Portugal|No|0|Wide-Leg Trousers - Partner with sleek knits for proportion play|
+|WOM-0024|Sport Elite Women's Plaid Skirts|Sport Elite|Women|Clothing|Skirts|Green|Plaid|Silk|XS, S, M, L, XL, XXL|Athletic Fit|75.16|0|China|Yes|110|Preppy Pleats - Heritage styling with contemporary edge|
+|WOM-0025|Urban Thread Women's Geometric Jackets|Urban Thread|Women|Clothing|Jackets|Navy|Geometric|Spandex|XS, S, M, L, XL, XXL|Athletic Fit|35.63|0|Portugal|Yes|44|Faux Fur Revolution - Floor-sweeping luxury statement pieces|
+|WOM-0026|Classic Fit Women's Floral Sweaters|Classic Fit|Women|Clothing|Sweaters|Red|Floral|Leather|XS, S, M, L, XL, XXL|Relaxed Fit|55.08|0|Italy|Yes|45|Mocha Mousse Palette - Warm brown tones in premium knitwear|
+|WOM-0027|Sport Elite Women's Solid Cardigans|Sport Elite|Women|Clothing|Cardigans|Olive|Solid|Canvas|XS, S, M, L, XL, XXL|Slim Fit|116.14|0|USA|Yes|142|Preppy Layering - Lightweight cardigans tied around shoulders|
+|WOM-0028|Urban Thread Women's Solid Dresses|Urban Thread|Women|Clothing|Dresses|Charcoal|Solid|Denim|XS, S, M, L, XL, XXL|True to Size|70.53|20|Bangladesh|Yes|151|Sheer Power Layering - Transparent clothing for cold-weather wardrobes|
+|WOM-0029|Classic Fit Women's Solid Tops|Classic Fit|Women|Clothing|Tops|Blue|Solid|Polyester|XS, S, M, L, XL, XXL|Tailored Fit|97.74|0|China|Yes|24|Layering Foundation - Base layer for intelligent insulation approach|
+|WOM-0030|Sport Elite Women's Printed Blouses|Sport Elite|Women|Clothing|Blouses|Black|Printed|Silk|XS, S, M, L, XL, XXL|Slim Fit|77.15|20|China|Yes|149|Preppy Collar Details - Multiple visible layers as styling features|
+|WOM-0031|Urban Thread Women's Plaid Jeans|Urban Thread|Women|Clothing|Jeans|Olive|Plaid|Nylon|XS, S, M, L, XL, XXL|Relaxed Fit|68.46|15|China|Yes|174|Sustainable Denim - Organic cotton and responsible production|
+|WOM-0032|Classic Fit Women's Checked Trousers|Classic Fit|Women|Clothing|Trousers|Navy|Checked|Spandex|XS, S, M, L, XL, XXL|Athletic Fit|102.78|0|China|Yes|156|Tailoring 2.0 Revolution - Mix-and-match blazers with contrasting trousers|
+|WOM-0033|Sport Elite Women's Striped Skirts|Sport Elite|Women|Clothing|Skirts|Blue|Striped|Denim|XS, S, M, L, XL, XXL|True to Size|42.37|10|Portugal|Yes|196|Preppy Pleats - Heritage styling with contemporary edge|
+|WOM-0034|Urban Thread Women's Floral Jackets|Urban Thread|Women|Clothing|Jackets|Red|Floral|Canvas|XS, S, M, L, XL, XXL|Slim Fit|50.25|0|China|No|0|Luxe Puffer Evolution - Cinched waists and chic color palettes|
+|WOM-0035|Classic Fit Women's Solid Sweaters|Classic Fit|Women|Clothing|Sweaters|Grey|Solid|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|113.05|0|Portugal|Yes|200|Chunky Knit Layering - Texture mixing with sheer elements|
+|WOM-0036|Urban Thread Women's Heels|Urban Thread|Women|Shoes|Heels|Navy|Printed|Suede|5, 6, 7, 8, 9, 10|Tailored Fit|113.87|0|Portugal|Yes|154|Luxury Investment - Premium footwear for daily reliability|
+|WOM-0037|Classic Fit Women's Flats|Classic Fit|Women|Shoes|Flats|Green|Checked|Polyester|5, 6, 7, 8, 9, 10|Tailored Fit|125.29|0|Portugal|Yes|200|Ballet Flat Revival - Versatile elegance with comfort focus|
+|WOM-0038|Sport Elite Women's Sneakers|Sport Elite|Women|Shoes|Sneakers|Grey|Striped|Spandex|5, 6, 7, 8, 9, 10|Tailored Fit|165.08|0|Turkey|No|0|Spring Color Blocking - Vibrant contrasting color statements|
+|WOM-0039|Urban Thread Women's Boots|Urban Thread|Women|Shoes|Boots|Burgundy|Plaid|Cotton|5, 6, 7, 8, 9, 10|Relaxed Fit|52.96|0|USA|Yes|133|Western Evolution - Sleek fashion-forward silhouettes|
+|WOM-0040|Classic Fit Women's Sandals|Classic Fit|Women|Shoes|Sandals|White|Solid|Cotton|5, 6, 7, 8, 9, 10|Regular Fit|157.27|0|Turkey|Yes|135|Spring Transition Piece - Lightweight sustainable materials|
+|WOM-0041|Sport Elite Women's Heels|Sport Elite|Women|Shoes|Heels|Yellow|Solid|Polyester|5, 6, 7, 8, 9, 10|Relaxed Fit|92.83|0|Italy|Yes|157|Over-the-Knee Statement - Commanding presence with practical warmth|
+|WOM-0042|Urban Thread Women's Flats|Urban Thread|Women|Shoes|Flats|Brown|Striped|Canvas|5, 6, 7, 8, 9, 10|Slim Fit|104.43|10|Portugal|Yes|10|Sustainable Footwear - Ethical production with style|
+|WOM-0043|Classic Fit Women's Sneakers|Classic Fit|Women|Shoes|Sneakers|Navy|Floral|Spandex|5, 6, 7, 8, 9, 10|Relaxed Fit|96.27|0|Bangladesh|Yes|177|Fashion Sneaker Trend - Minimal trainers with cushioning details|
+|WOM-0044|Sport Elite Women's Boots|Sport Elite|Women|Shoes|Boots|Olive|Striped|Spandex|5, 6, 7, 8, 9, 10|Slim Fit|133.94|0|Italy|Yes|68|Western Evolution - Sleek fashion-forward silhouettes|
+|WOM-0045|Urban Thread Women's Sandals|Urban Thread|Women|Shoes|Sandals|Burgundy|Solid|Polyester|5, 6, 7, 8, 9, 10|True to Size|91.43|10|Turkey|Yes|110|Cutout Detail Trend - Strategic design for spring 2025|
+|WOM-0046|Classic Fit Women's Heels|Classic Fit|Women|Shoes|Heels|Black|Solid|Leather|5, 6, 7, 8, 9, 10|Athletic Fit|178.89|30|Italy|Yes|198|Over-the-Knee Statement - Commanding presence with practical warmth|
+|WOM-0047|Sport Elite Women's Flats|Sport Elite|Women|Shoes|Flats|Purple|Solid|Wool|5, 6, 7, 8, 9, 10|Regular Fit|142.08|20|India|Yes|27|Sustainable Footwear - Ethical production with style|
+|WOM-0048|Urban Thread Women's Sneakers|Urban Thread|Women|Shoes|Sneakers|Beige|Floral|Denim|5, 6, 7, 8, 9, 10|Relaxed Fit|81.61|20|Vietnam|No|0|Fashion Sneaker Trend - Minimal trainers with cushioning details|
+|WOM-0049|Classic Fit Women's Boots|Classic Fit|Women|Shoes|Boots|Purple|Solid|Nylon|5, 6, 7, 8, 9, 10|True to Size|115.23|0|India|Yes|128|Western Evolution - Sleek fashion-forward silhouettes|
+|WOM-0050|Sport Elite Women's Sandals|Sport Elite|Women|Shoes|Sandals|Burgundy|Striped|Linen|5, 6, 7, 8, 9, 10|Regular Fit|123.27|0|Portugal|Yes|149|Natural Materials - Hemp and organic textiles|
+|WOM-0051|Urban Thread Women's Heels|Urban Thread|Women|Shoes|Heels|Black|Floral|Nylon|5, 6, 7, 8, 9, 10|Athletic Fit|76.26|0|Portugal|Yes|57|Over-the-Knee Statement - Commanding presence with practical warmth|
+|WOM-0052|Classic Fit Women's Flats|Classic Fit|Women|Shoes|Flats|White|Solid|Spandex|5, 6, 7, 8, 9, 10|Athletic Fit|95.84|0|Turkey|Yes|73|Sustainable Footwear - Ethical production with style|
+|WOM-0053|Sport Elite Women's Sneakers|Sport Elite|Women|Shoes|Sneakers|Yellow|Solid|Denim|5, 6, 7, 8, 9, 10|Tailored Fit|134.98|0|Turkey|Yes|71|Sustainable Materials - Organic cotton and recycled polyester|
+|WOM-0054|Urban Thread Women's Boots|Urban Thread|Women|Shoes|Boots|Olive|Checked|Spandex|5, 6, 7, 8, 9, 10|True to Size|89.09|0|Bangladesh|Yes|185|Snakeprint Pattern - Grey-hued monochrome dressing innovation|
+|WOM-0055|Classic Fit Women's Sandals|Classic Fit|Women|Shoes|Sandals|White|Printed|Denim|5, 6, 7, 8, 9, 10|Relaxed Fit|84.43|0|Portugal|Yes|83|Spring Transition Piece - Lightweight sustainable materials|
+|WOM-0056|Sport Elite Women's Heels|Sport Elite|Women|Shoes|Heels|Red|Printed|Wool|5, 6, 7, 8, 9, 10|Regular Fit|114.21|15|Portugal|Yes|79|Block Heel Trend - Comfortable elegance for extended wear|
+|WOM-0057|Urban Thread Women's Flats|Urban Thread|Women|Shoes|Flats|Green|Floral|Spandex|5, 6, 7, 8, 9, 10|Athletic Fit|91.17|0|China|Yes|128|Slouchy Sophistication - Soft materials for modern styling|
+|WOM-0058|Classic Fit Women's Sneakers|Classic Fit|Women|Shoes|Sneakers|Pink|Floral|Polyester|5, 6, 7, 8, 9, 10|Regular Fit|100.17|0|Italy|Yes|123|Spring Color Blocking - Vibrant contrasting color statements|
+|WOM-0059|Sport Elite Women's Boots|Sport Elite|Women|Shoes|Boots|White|Solid|Wool|5, 6, 7, 8, 9, 10|Regular Fit|108.83|0|India|No|0|Snakeprint Pattern - Grey-hued monochrome dressing innovation|
+|WOM-0060|Urban Thread Women's Sandals|Urban Thread|Women|Shoes|Sandals|Navy|Floral|Linen|5, 6, 7, 8, 9, 10|True to Size|69.34|0|India|Yes|146|Natural Materials - Hemp and organic textiles|
+|WOM-0061|Classic Fit Women's Heels|Classic Fit|Women|Shoes|Heels|Burgundy|Checked|Spandex|5, 6, 7, 8, 9, 10|Slim Fit|129.84|0|Turkey|Yes|87|Luxury Investment - Premium footwear for daily reliability|
+|WOM-0062|Sport Elite Women's Flats|Sport Elite|Women|Shoes|Flats|Burgundy|Floral|Leather|5, 6, 7, 8, 9, 10|Slim Fit|128.33|0|India|Yes|180|Slouchy Sophistication - Soft materials for modern styling|
+|WOM-0063|Urban Thread Women's Sneakers|Urban Thread|Women|Shoes|Sneakers|Brown|Plaid|Wool|5, 6, 7, 8, 9, 10|True to Size|101.88|0|Portugal|Yes|174|Fashion Sneaker Trend - Minimal trainers with cushioning details|
+|WOM-0064|Classic Fit Women's Boots|Classic Fit|Women|Shoes|Boots|Pink|Floral|Leather|5, 6, 7, 8, 9, 10|Regular Fit|150.96|0|India|Yes|26|Slouchy Boot Dominance - Scrunch and gather around calves styling|
+|WOM-0065|Sport Elite Women's Sandals|Sport Elite|Women|Shoes|Sandals|Red|Floral|Silk|5, 6, 7, 8, 9, 10|Tailored Fit|72.03|25|Italy|Yes|180|Spring Transition Piece - Lightweight sustainable materials|
+|WOM-0066|Urban Thread Women's Heels|Urban Thread|Women|Shoes|Heels|Navy|Plaid|Nylon|5, 6, 7, 8, 9, 10|Athletic Fit|127.06|0|Italy|Yes|111|Luxury Investment - Premium footwear for daily reliability|
+|WOM-0067|Classic Fit Women's Flats|Classic Fit|Women|Shoes|Flats|Black|Checked|Wool|5, 6, 7, 8, 9, 10|Relaxed Fit|180.78|0|Italy|No|0|Sustainable Footwear - Ethical production with style|
+|WOM-0068|Sport Elite Women's Sneakers|Sport Elite|Women|Shoes|Sneakers|Olive|Plaid|Leather|5, 6, 7, 8, 9, 10|Athletic Fit|73.43|30|Turkey|Yes|16|Sustainable Materials - Organic cotton and recycled polyester|
+|WOM-0069|Urban Thread Women's Boots|Urban Thread|Women|Shoes|Boots|Brown|Plaid|Silk|5, 6, 7, 8, 9, 10|Relaxed Fit|46.78|0|Bangladesh|Yes|73|Western Evolution - Sleek fashion-forward silhouettes|
+|WOM-0070|Classic Fit Women's Sandals|Classic Fit|Women|Shoes|Sandals|Beige|Floral|Polyester|5, 6, 7, 8, 9, 10|Regular Fit|149.08|0|Italy|Yes|146|Spring Transition Piece - Lightweight sustainable materials|
+|WOM-0071|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|Burgundy|Plaid|Silk|XS, S, M, L, XL, XXL|True to Size|70.61|15|Italy|Yes|51|Sustainable Materials - Ethical leather production practices|
+|WOM-0072|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|Red|Striped|Linen|XS, S, M, L, XL, XXL|Relaxed Fit|36.32|0|Turkey|Yes|25|Chunky Knit Statement - Worn as wraps for elevated styling|
+|WOM-0073|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Grey|Solid|Canvas|XS, S, M, L, XL, XXL|Tailored Fit|70.79|0|Vietnam|Yes|128|Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes|
+|WOM-0074|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Black|Geometric|Polyester|XS, S, M, L, XL, XXL|Regular Fit|64.31|0|Italy|No|0|Spring Accessory Essential - UV protection with style|
+|WOM-0075|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Black|Floral|Cotton|XS, S, M, L, XL, XXL|Athletic Fit|99.11|0|Vietnam|Yes|96|Over-Coat Styling - Belts over oversized coats and dresses|
+|WOM-0076|Sport Elite Women's Watches|Sport Elite|Women|Accessories|Watches|White|Solid|Linen|XS, S, M, L, XL, XXL|Athletic Fit|73.58|0|Italy|Yes|25|Timeless Investment - Classic pieces beyond seasonal trends|
+|WOM-0077|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|Green|Geometric|Cotton|XS, S, M, L, XL, XXL|True to Size|78.11|0|USA|Yes|12|Squishy Leather Luxury - Buttery-soft tactile designs|
+|WOM-0078|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|Beige|Printed|Leather|XS, S, M, L, XL, XXL|Athletic Fit|78.46|20|Bangladesh|Yes|179|Chunky Knit Statement - Worn as wraps for elevated styling|
+|WOM-0079|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Beige|Plaid|Spandex|XS, S, M, L, XL, XXL|Slim Fit|37.88|0|Vietnam|Yes|16|Chunky Chain Statement - Sculptural accessories for winter impact|
+|WOM-0080|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Purple|Checked|Wool|XS, S, M, L, XL, XXL|Relaxed Fit|71.62|30|Portugal|No|0|Sustainable Eyewear - Eco-conscious materials and production|
+|WOM-0081|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Beige|Striped|Cotton|XS, S, M, L, XL, XXL|Tailored Fit|87.36|0|Vietnam|Yes|151|Over-Coat Styling - Belts over oversized coats and dresses|
+|WOM-0082|Sport Elite Women's Watches|Sport Elite|Women|Accessories|Watches|Burgundy|Geometric|Polyester|XS, S, M, L, XL, XXL|Relaxed Fit|65.35|10|Portugal|Yes|189|Timeless Investment - Classic pieces beyond seasonal trends|
+|WOM-0083|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|Burgundy|Striped|Wool|XS, S, M, L, XL, XXL|Athletic Fit|65.08|0|China|Yes|175|Squishy Leather Luxury - Buttery-soft tactile designs|
+|WOM-0084|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|White|Striped|Suede|XS, S, M, L, XL, XXL|Tailored Fit|70.58|0|USA|Yes|199|Scoat Hybrid Trend - Scarf-coat intuitive silhouettes|
+|WOM-0085|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Navy|Striped|Nylon|XS, S, M, L, XL, XXL|Slim Fit|88.21|30|Bangladesh|Yes|152|Metal Mixing Revolution - Gold, silver, rose gold combinations|
+|WOM-0086|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Red|Floral|Silk|XS, S, M, L, XL, XXL|Relaxed Fit|44.84|0|Portugal|Yes|40|Oversized Frame Trend - Statement pieces for bold self-expression|
+|WOM-0087|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Charcoal|Printed|Leather|XS, S, M, L, XL, XXL|Tailored Fit|91.58|0|China|Yes|190|Statement Belt Styling - Ultimate tool for feminine silhouettes|
+|WOM-0088|Sport Elite Women's Watches|Sport Elite|Women|Accessories|Watches|Green|Checked|Spandex|XS, S, M, L, XL, XXL|Tailored Fit|23.58|0|India|Yes|18|Metal Mixing Freedom - Combining metals for personalized aesthetics|
+|WOM-0089|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|Burgundy|Printed|Linen|XS, S, M, L, XL, XXL|True to Size|63.64|0|Vietnam|Yes|163|Comfort-Focused Luxury - Touchable designs over rigid structures|
+|WOM-0090|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|Navy|Geometric|Suede|XS, S, M, L, XL, XXL|Tailored Fit|50.96|0|India|No|0|Scoat Hybrid Trend - Scarf-coat intuitive silhouettes|
+|WOM-0091|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Black|Printed|Silk|XS, S, M, L, XL, XXL|Tailored Fit|39.68|0|India|Yes|70|Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes|
+|WOM-0092|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Blue|Striped|Spandex|XS, S, M, L, XL, XXL|Regular Fit|32.74|20|Turkey|No|0|Oversized Frame Trend - Statement pieces for bold self-expression|
+|WOM-0093|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Green|Printed|Nylon|XS, S, M, L, XL, XXL|Tailored Fit|48.35|30|USA|Yes|19|Multiple Belt Layering - Wear simultaneously for visual impact|
+|WOM-0094|Sport Elite Women's Watches|Sport Elite|Women|Accessories|Watches|Beige|Floral|Polyester|XS, S, M, L, XL, XXL|Relaxed Fit|55.26|25|China|Yes|180|Timeless Investment - Classic pieces beyond seasonal trends|
+|WOM-0095|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|Olive|Checked|Canvas|XS, S, M, L, XL, XXL|Regular Fit|33.4|0|Bangladesh|Yes|8|Sustainable Materials - Ethical leather production practices|
+|WOM-0096|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|Red|Striped|Nylon|XS, S, M, L, XL, XXL|Athletic Fit|43.26|0|Bangladesh|Yes|73|Chunky Knit Statement - Worn as wraps for elevated styling|
+|WOM-0097|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Pink|Geometric|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|78.1|0|China|Yes|25|Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes|
+|WOM-0098|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Navy|Plaid|Linen|XS, S, M, L, XL, XXL|Tailored Fit|22.79|10|Portugal|Yes|96|Oversized Frame Trend - Statement pieces for bold self-expression|
+|WOM-0099|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Black|Geometric|Suede|XS, S, M, L, XL, XXL|Relaxed Fit|33.19|10|Turkey|Yes|18|Over-Coat Styling - Belts over oversized coats and dresses|
+|WOM-0100|Sport Elite Women's Watches|Sport Elite|Women|Accessories|Watches|Pink|Geometric|Polyester|XS, S, M, L, XL, XXL|Tailored Fit|41.87|0|Portugal|Yes|137|Timeless Investment - Classic pieces beyond seasonal trends|
+|WOM-0101|Urban Thread Women's Handbags|Urban Thread|Women|Accessories|Handbags|White|Floral|Linen|XS, S, M, L, XL, XXL|Relaxed Fit|32.93|25|Portugal|Yes|179|Sustainable Materials - Ethical leather production practices|
+|WOM-0102|Classic Fit Women's Scarves|Classic Fit|Women|Accessories|Scarves|Navy|Striped|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|121.74|10|Turkey|Yes|63|Layering Accessory - Strategic warmth and style enhancement|
+|WOM-0103|Sport Elite Women's Jewelry|Sport Elite|Women|Accessories|Jewelry|Pink|Printed|Denim|XS, S, M, L, XL, XXL|Slim Fit|25.45|10|India|Yes|187|Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes|
+|WOM-0104|Urban Thread Women's Sunglasses|Urban Thread|Women|Accessories|Sunglasses|Green|Checked|Suede|XS, S, M, L, XL, XXL|Relaxed Fit|77.41|0|China|Yes|117|Oversized Frame Trend - Statement pieces for bold self-expression|
+|WOM-0105|Classic Fit Women's Belts|Classic Fit|Women|Accessories|Belts|Charcoal|Striped|Polyester|XS, S, M, L, XL, XXL|Tailored Fit|48.96|0|China|Yes|133|Over-Coat Styling - Belts over oversized coats and dresses|
+|CHD-0001|Urban Thread Children's Striped T-Shirts|Urban Thread|Children|Clothing|T-Shirts|Brown|Striped|Spandex|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|71.62|30|Turkey|Yes|54|Dopamine Dressing - Bright colors for energy and self-expression|
+|CHD-0002|Classic Fit Children's Solid Shirts|Classic Fit|Children|Clothing|Shirts|Pink|Solid|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|48.38|0|USA|Yes|26|Bold Primary Colors - Confident sophistication in kids fashion|
+|CHD-0003|Sport Elite Children's Solid Jeans|Sport Elite|Children|Clothing|Jeans|Olive|Solid|Suede|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|116.14|0|Italy|Yes|172|Adjustable Waist Comfort - Growth-friendly functional designs|
+|CHD-0004|Urban Thread Children's Printed Dresses|Urban Thread|Children|Clothing|Dresses|Black|Printed|Linen|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|36.23|0|Portugal|Yes|94|Oversized Floral Prints - Bright, playful patterns for winter 2025|
+|CHD-0005|Classic Fit Children's Striped Shorts|Classic Fit|Children|Clothing|Shorts|Burgundy|Striped|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|113.22|25|China|Yes|191|Athleisure Comfort - Relaxed fits for active play|
+|CHD-0006|Sport Elite Children's Printed Jackets|Sport Elite|Children|Clothing|Jackets|Brown|Printed|Wool|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Athletic Fit|114.12|0|Italy|Yes|92|Puffer Innovation - Water-resistant materials with adjustable hoods|
+|CHD-0007|Urban Thread Children's Floral Sweaters|Urban Thread|Children|Clothing|Sweaters|Yellow|Floral|Wool|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|38.55|20|Vietnam|Yes|120|Cable-Knit Prep - Classic collegiate styling with playful edge|
+|CHD-0008|Classic Fit Children's Striped Hoodies|Classic Fit|Children|Clothing|Hoodies|Pink|Striped|Spandex|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Athletic Fit|69.42|0|India|No|0|Three-Layer System - Middle layer for winter temperature regulation|
+|CHD-0009|Sport Elite Children's Plaid Pants|Sport Elite|Children|Clothing|Pants|Navy|Plaid|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|97.75|20|China|Yes|130|Smart Layering Base - Foundation for winter three-layer system|
+|CHD-0010|Urban Thread Children's Plaid T-Shirts|Urban Thread|Children|Clothing|T-Shirts|Pink|Plaid|Suede|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|54.53|0|Portugal|Yes|116|Dopamine Dressing - Bright colors for energy and self-expression|
+|CHD-0011|Classic Fit Children's Floral Shirts|Classic Fit|Children|Clothing|Shirts|Beige|Floral|Denim|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|99.16|0|Italy|Yes|58|Bold Primary Colors - Confident sophistication in kids fashion|
+|CHD-0012|Sport Elite Children's Floral Jeans|Sport Elite|Children|Clothing|Jeans|Beige|Floral|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|95.68|25|Vietnam|Yes|134|Adjustable Waist Comfort - Growth-friendly functional designs|
+|CHD-0013|Urban Thread Children's Solid Dresses|Urban Thread|Children|Clothing|Dresses|Beige|Solid|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|59.3|25|Vietnam|Yes|59|Oversized Floral Prints - Bright, playful patterns for winter 2025|
+|CHD-0014|Classic Fit Children's Plaid Shorts|Classic Fit|Children|Clothing|Shorts|Blue|Plaid|Suede|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|119.85|0|China|No|0|Spring Color Energy - Neon green and electric blue accents|
+|CHD-0015|Sport Elite Children's Checked Jackets|Sport Elite|Children|Clothing|Jackets|Black|Checked|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|55.33|30|Italy|Yes|126|Oversized Outerwear Dominance - Growth-friendly comfort and style|
+|CHD-0016|Urban Thread Children's Checked Sweaters|Urban Thread|Children|Clothing|Sweaters|Beige|Checked|Linen|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|44.3|0|Turkey|Yes|159|Cable-Knit Prep - Classic collegiate styling with playful edge|
+|CHD-0017|Classic Fit Children's Striped Hoodies|Classic Fit|Children|Clothing|Hoodies|Purple|Striped|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Relaxed Fit|112.8|25|Vietnam|Yes|198|Oversized Relaxed Fit - Comfort during active play prioritized|
+|CHD-0018|Sport Elite Children's Geometric Pants|Sport Elite|Children|Clothing|Pants|Blue|Geometric|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Tailored Fit|114.86|0|China|Yes|61|Smart Layering Base - Foundation for winter three-layer system|
+|CHD-0019|Urban Thread Children's Striped T-Shirts|Urban Thread|Children|Clothing|T-Shirts|Olive|Striped|Polyester|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|True to Size|68.94|0|Vietnam|No|0|Gender-Neutral Evolution - Unisex designs with neutral tones|
+|CHD-0020|Classic Fit Children's Solid Shirts|Classic Fit|Children|Clothing|Shirts|Blue|Solid|Denim|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Relaxed Fit|113.7|0|Turkey|Yes|110|Collegiate Prep Styling - Crisp polos with retro tennis stripes|
+|CHD-0021|Sport Elite Children's Geometric Jeans|Sport Elite|Children|Clothing|Jeans|Pink|Geometric|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|117.67|0|Vietnam|No|0|Sustainable Kids Denim - Organic cotton for eco-conscious families|
+|CHD-0022|Urban Thread Children's Solid Dresses|Urban Thread|Children|Clothing|Dresses|Olive|Solid|Linen|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|True to Size|67.22|0|Turkey|Yes|42|Pastel Softness - Muted tones creating calming visual effects|
+|CHD-0023|Classic Fit Children's Checked Shorts|Classic Fit|Children|Clothing|Shorts|Green|Checked|Silk|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Relaxed Fit|68.88|10|Vietnam|Yes|100|Spring Color Energy - Neon green and electric blue accents|
+|CHD-0024|Sport Elite Children's Checked Jackets|Sport Elite|Children|Clothing|Jackets|Pink|Checked|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|57.69|0|China|No|0|Cherry Red Statement - Bold confidence in winter accessories|
+|CHD-0025|Urban Thread Children's Checked Sweaters|Urban Thread|Children|Clothing|Sweaters|Grey|Checked|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|65.6|0|Turkey|Yes|184|Mid-Layer Insulation - Fleece for lightweight breathable warmth|
+|CHD-0026|Classic Fit Children's Geometric Hoodies|Classic Fit|Children|Clothing|Hoodies|Beige|Geometric|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|47.2|0|India|Yes|179|Three-Layer System - Middle layer for winter temperature regulation|
+|CHD-0027|Sport Elite Children's Floral Pants|Sport Elite|Children|Clothing|Pants|Navy|Floral|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|44.73|0|Portugal|Yes|20|Smart Layering Base - Foundation for winter three-layer system|
+|CHD-0028|Urban Thread Children's Striped T-Shirts|Urban Thread|Children|Clothing|T-Shirts|Blue|Striped|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|65.84|0|Bangladesh|Yes|158|Dopamine Dressing - Bright colors for energy and self-expression|
+|CHD-0029|Classic Fit Children's Floral Shirts|Classic Fit|Children|Clothing|Shirts|Charcoal|Floral|Cotton|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|True to Size|114.89|0|Vietnam|Yes|21|Collegiate Prep Styling - Crisp polos with retro tennis stripes|
+|CHD-0030|Sport Elite Children's Striped Jeans|Sport Elite|Children|Clothing|Jeans|White|Striped|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|117.89|0|Turkey|Yes|158|Gender-Neutral Styling - Classic patterns for extended wearability|
+|CHD-0031|Urban Thread Children's Solid Dresses|Urban Thread|Children|Clothing|Dresses|Red|Solid|Nylon|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|True to Size|67.36|30|China|Yes|81|Pastel Softness - Muted tones creating calming visual effects|
+|CHD-0032|Classic Fit Children's Plaid Shorts|Classic Fit|Children|Clothing|Shorts|Brown|Plaid|Wool|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|103.34|20|Vietnam|Yes|169|Sustainable Materials - Organic fabrics for kids' wardrobes|
+|CHD-0033|Sport Elite Children's Solid Jackets|Sport Elite|Children|Clothing|Jackets|White|Solid|Polyester|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|82.78|0|Italy|Yes|178|Oversized Outerwear Dominance - Growth-friendly comfort and style|
+|CHD-0034|Urban Thread Children's Striped Sweaters|Urban Thread|Children|Clothing|Sweaters|Green|Striped|Leather|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Slim Fit|74.54|30|Vietnam|No|0|Mid-Layer Insulation - Fleece for lightweight breathable warmth|
+|CHD-0035|Classic Fit Children's Striped Hoodies|Classic Fit|Children|Clothing|Hoodies|Navy|Striped|Linen|2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y|Regular Fit|71.78|0|Vietnam|No|0|Three-Layer System - Middle layer for winter temperature regulation|
+|CHD-0036|Urban Thread Children's Sneakers|Urban Thread|Children|Shoes|Sneakers|Charcoal|Floral|Leather|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|62.05|25|USA|Yes|158|Flexible Soles - Cushioned insoles for active play support|
+|CHD-0037|Classic Fit Children's School Shoes|Classic Fit|Children|Shoes|School Shoes|Green|Geometric|Silk|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|83.67|0|USA|Yes|14|Winter Functionality - Insulation for cold weather protection|
+|CHD-0038|Sport Elite Children's Sandals|Sport Elite|Children|Shoes|Sandals|Brown|Solid|Nylon|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|130.52|0|Vietnam|Yes|64|Closed-Toe Safety - Playground-appropriate protective features|
+|CHD-0039|Urban Thread Children's Boots|Urban Thread|Children|Shoes|Boots|Brown|Solid|Wool|10, 11, 12, 13, 1, 2, 3, 4, 5|Regular Fit|56.68|0|India|No|0|Waterproof Construction - Sealed seams for snow play|
+|CHD-0040|Classic Fit Children's Sneakers|Classic Fit|Children|Shoes|Sneakers|Charcoal|Striped|Cotton|10, 11, 12, 13, 1, 2, 3, 4, 5|Athletic Fit|95.2|0|Bangladesh|Yes|95|Flexible Soles - Cushioned insoles for active play support|
+|CHD-0041|Sport Elite Children's School Shoes|Sport Elite|Children|Shoes|School Shoes|Olive|Plaid|Silk|10, 11, 12, 13, 1, 2, 3, 4, 5|Tailored Fit|132.45|0|Vietnam|Yes|197|Adjustable Straps - Secure fit with growth accommodation|
+|CHD-0042|Urban Thread Children's Sandals|Urban Thread|Children|Shoes|Sandals|Purple|Geometric|Wool|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|45.57|0|India|Yes|197|Closed-Toe Safety - Playground-appropriate protective features|
+|CHD-0043|Classic Fit Children's Boots|Classic Fit|Children|Shoes|Boots|Navy|Floral|Linen|10, 11, 12, 13, 1, 2, 3, 4, 5|Tailored Fit|188.22|0|Italy|No|0|Waterproof Construction - Sealed seams for snow play|
+|CHD-0044|Sport Elite Children's Sneakers|Sport Elite|Children|Shoes|Sneakers|Brown|Geometric|Polyester|10, 11, 12, 13, 1, 2, 3, 4, 5|Athletic Fit|94.82|0|USA|Yes|193|Hook-and-Loop Closures - Easy on/off for independent dressing|
+|CHD-0045|Urban Thread Children's School Shoes|Urban Thread|Children|Shoes|School Shoes|Pink|Geometric|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|121.32|10|Bangladesh|Yes|44|Winter Functionality - Insulation for cold weather protection|
+|CHD-0046|Classic Fit Children's Sandals|Classic Fit|Children|Shoes|Sandals|Grey|Solid|Wool|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|115.52|0|Bangladesh|Yes|113|Closed-Toe Safety - Playground-appropriate protective features|
+|CHD-0047|Sport Elite Children's Boots|Sport Elite|Children|Shoes|Boots|Beige|Plaid|Spandex|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|72.24|0|Portugal|Yes|11|Slip-Resistant Soles - Safety on icy surfaces|
+|CHD-0048|Urban Thread Children's Sneakers|Urban Thread|Children|Shoes|Sneakers|Navy|Plaid|Leather|10, 11, 12, 13, 1, 2, 3, 4, 5|Tailored Fit|63.98|0|India|Yes|134|Hook-and-Loop Closures - Easy on/off for independent dressing|
+|CHD-0049|Classic Fit Children's School Shoes|Classic Fit|Children|Shoes|School Shoes|Grey|Striped|Denim|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|88.31|0|China|Yes|183|Winter Functionality - Insulation for cold weather protection|
+|CHD-0050|Sport Elite Children's Sandals|Sport Elite|Children|Shoes|Sandals|Pink|Plaid|Leather|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|127.93|0|Bangladesh|Yes|43|Spring Transition Footwear - Lightweight breathable designs|
+|CHD-0051|Urban Thread Children's Boots|Urban Thread|Children|Shoes|Boots|Yellow|Checked|Spandex|10, 11, 12, 13, 1, 2, 3, 4, 5|Athletic Fit|52.2|0|Italy|No|0|Slip-Resistant Soles - Safety on icy surfaces|
+|CHD-0052|Classic Fit Children's Sneakers|Classic Fit|Children|Shoes|Sneakers|Yellow|Printed|Leather|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|187.57|0|Vietnam|Yes|159|Reinforced Toe Caps - Durability for playground activities|
+|CHD-0053|Sport Elite Children's School Shoes|Sport Elite|Children|Shoes|School Shoes|Beige|Plaid|Silk|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|86.93|0|Portugal|Yes|151|Adjustable Straps - Secure fit with growth accommodation|
+|CHD-0054|Urban Thread Children's Sandals|Urban Thread|Children|Shoes|Sandals|Charcoal|Plaid|Silk|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|98.1|0|Bangladesh|No|0|Closed-Toe Safety - Playground-appropriate protective features|
+|CHD-0055|Classic Fit Children's Boots|Classic Fit|Children|Shoes|Boots|Grey|Plaid|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|105.97|0|India|Yes|36|Waterproof Construction - Sealed seams for snow play|
+|CHD-0056|Sport Elite Children's Sneakers|Sport Elite|Children|Shoes|Sneakers|Purple|Striped|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|67.4|0|China|No|0|Hook-and-Loop Closures - Easy on/off for independent dressing|
+|CHD-0057|Urban Thread Children's School Shoes|Urban Thread|Children|Shoes|School Shoes|Red|Solid|Spandex|10, 11, 12, 13, 1, 2, 3, 4, 5|Regular Fit|116.39|0|Bangladesh|Yes|198|Scuff-Resistant Uppers - Practical durability for daily wear|
+|CHD-0058|Classic Fit Children's Sandals|Classic Fit|Children|Shoes|Sandals|Brown|Floral|Denim|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|173.7|15|Vietnam|Yes|95|Spring Transition Footwear - Lightweight breathable designs|
+|CHD-0059|Sport Elite Children's Boots|Sport Elite|Children|Shoes|Boots|Green|Floral|Polyester|10, 11, 12, 13, 1, 2, 3, 4, 5|Slim Fit|167.16|0|Turkey|Yes|111|Waterproof Construction - Sealed seams for snow play|
+|CHD-0060|Urban Thread Children's Sneakers|Urban Thread|Children|Shoes|Sneakers|Navy|Solid|Linen|10, 11, 12, 13, 1, 2, 3, 4, 5|Regular Fit|48.24|0|Vietnam|Yes|154|Reinforced Toe Caps - Durability for playground activities|
+|CHD-0061|Classic Fit Children's School Shoes|Classic Fit|Children|Shoes|School Shoes|Olive|Striped|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Athletic Fit|73.1|10|India|Yes|28|Winter Functionality - Insulation for cold weather protection|
+|CHD-0062|Sport Elite Children's Sandals|Sport Elite|Children|Shoes|Sandals|Navy|Solid|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Regular Fit|126.75|0|China|Yes|87|Spring Transition Footwear - Lightweight breathable designs|
+|CHD-0063|Urban Thread Children's Boots|Urban Thread|Children|Shoes|Boots|Beige|Solid|Spandex|10, 11, 12, 13, 1, 2, 3, 4, 5|Regular Fit|92.98|0|Portugal|Yes|159|Insulated Linings - Temperature ratings for climate needs|
+|CHD-0064|Classic Fit Children's Sneakers|Classic Fit|Children|Shoes|Sneakers|Blue|Checked|Canvas|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|158.56|0|Bangladesh|Yes|187|Reinforced Toe Caps - Durability for playground activities|
+|CHD-0065|Sport Elite Children's School Shoes|Sport Elite|Children|Shoes|School Shoes|Beige|Striped|Polyester|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|58.32|20|USA|Yes|13|Winter Functionality - Insulation for cold weather protection|
+|CHD-0066|Urban Thread Children's Sandals|Urban Thread|Children|Shoes|Sandals|Red|Solid|Nylon|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|60.64|10|Italy|Yes|170|Spring Transition Footwear - Lightweight breathable designs|
+|CHD-0067|Classic Fit Children's Boots|Classic Fit|Children|Shoes|Boots|Navy|Plaid|Linen|10, 11, 12, 13, 1, 2, 3, 4, 5|Tailored Fit|164.53|10|Italy|Yes|11|Waterproof Construction - Sealed seams for snow play|
+|CHD-0068|Sport Elite Children's Sneakers|Sport Elite|Children|Shoes|Sneakers|Green|Floral|Spandex|10, 11, 12, 13, 1, 2, 3, 4, 5|Relaxed Fit|136.21|0|Italy|Yes|45|Reinforced Toe Caps - Durability for playground activities|
+|CHD-0069|Urban Thread Children's School Shoes|Urban Thread|Children|Shoes|School Shoes|Brown|Solid|Polyester|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|123.33|0|USA|Yes|200|Scuff-Resistant Uppers - Practical durability for daily wear|
+|CHD-0070|Classic Fit Children's Sandals|Classic Fit|Children|Shoes|Sandals|Yellow|Checked|Nylon|10, 11, 12, 13, 1, 2, 3, 4, 5|True to Size|95.76|0|Vietnam|Yes|114|Spring Transition Footwear - Lightweight breathable designs|
+|CHD-0071|Urban Thread Children's Backpacks|Urban Thread|Children|Accessories|Backpacks|Beige|Checked|Canvas|XS, S, M, L, XL, XXL|Athletic Fit|39.83|10|Italy|Yes|165|Sustainable Materials - Eco-conscious production for kids' items|
+|CHD-0072|Classic Fit Children's Caps|Classic Fit|Children|Accessories|Caps|Burgundy|Striped|Polyester|XS, S, M, L, XL, XXL|True to Size|36.71|0|Turkey|Yes|118|Trapper Hat Versatility - Adjustable ear flaps for temperature|
+|CHD-0073|Sport Elite Children's Socks|Sport Elite|Children|Accessories|Socks|Beige|Solid|Wool|XS, S, M, L, XL, XXL|Athletic Fit|41.12|0|Turkey|Yes|38|Merino Wool Base Layer - Moisture-wicking for active children|
+|CHD-0074|Urban Thread Children's Scarves|Urban Thread|Children|Accessories|Scarves|Grey|Plaid|Suede|XS, S, M, L, XL, XXL|Slim Fit|27.59|0|Portugal|Yes|198|Soft Fleece Warmth - Comfortable against children's skin|
+|CHD-0075|Classic Fit Children's Belts|Classic Fit|Children|Accessories|Belts|Red|Floral|Denim|XS, S, M, L, XL, XXL|Athletic Fit|56.94|0|USA|Yes|148|Simple Buckle Design - Easy for children to manage independently|
+|CHD-0076|Sport Elite Children's Backpacks|Sport Elite|Children|Accessories|Backpacks|Black|Printed|Denim|XS, S, M, L, XL, XXL|Tailored Fit|64.55|10|Turkey|Yes|116|Functional Design - Padded straps and pocket layout for school|
+|CHD-0077|Urban Thread Children's Caps|Urban Thread|Children|Accessories|Caps|Brown|Floral|Leather|XS, S, M, L, XL, XXL|Tailored Fit|24.64|0|Italy|Yes|100|Gender-Neutral Styling - Classic patterns for all children|
+|CHD-0078|Classic Fit Children's Socks|Classic Fit|Children|Accessories|Socks|Brown|Solid|Polyester|XS, S, M, L, XL, XXL|True to Size|85.77|0|Italy|Yes|174|Temperature Regulation - Natural fiber benefits|
+|CHD-0079|Sport Elite Children's Scarves|Sport Elite|Children|Accessories|Scarves|Green|Floral|Suede|XS, S, M, L, XL, XXL|True to Size|40.25|25|China|Yes|170|Snood Protection - Eliminates strangulation hazards|
+|CHD-0080|Urban Thread Children's Belts|Urban Thread|Children|Accessories|Belts|Burgundy|Solid|Silk|XS, S, M, L, XL, XXL|Tailored Fit|21.38|0|Portugal|Yes|106|Simple Buckle Design - Easy for children to manage independently|
+|CHD-0081|Classic Fit Children's Backpacks|Classic Fit|Children|Accessories|Backpacks|Grey|Geometric|Nylon|XS, S, M, L, XL, XXL|Slim Fit|53.31|0|Portugal|Yes|97|Sustainable Materials - Eco-conscious production for kids' items|
+|CHD-0082|Sport Elite Children's Caps|Sport Elite|Children|Accessories|Caps|Blue|Striped|Suede|XS, S, M, L, XL, XXL|True to Size|69.31|0|Italy|Yes|68|Winter Head Protection - Covering ears to prevent frostbite|
+|CHD-0083|Urban Thread Children's Socks|Urban Thread|Children|Accessories|Socks|Burgundy|Geometric|Silk|XS, S, M, L, XL, XXL|Athletic Fit|76.82|0|USA|Yes|71|Merino Wool Base Layer - Moisture-wicking for active children|
+|CHD-0084|Classic Fit Children's Scarves|Classic Fit|Children|Accessories|Scarves|Blue|Printed|Polyester|XS, S, M, L, XL, XXL|Athletic Fit|83.68|20|India|Yes|139|Neck Warmer Safety - Safer alternative to traditional scarves|
+|CHD-0085|Sport Elite Children's Belts|Sport Elite|Children|Accessories|Belts|Charcoal|Striped|Linen|XS, S, M, L, XL, XXL|Athletic Fit|80.94|0|India|Yes|91|Adjustable Sizing - Growth accommodation in accessories|
+|CHD-0086|Urban Thread Children's Backpacks|Urban Thread|Children|Accessories|Backpacks|Pink|Checked|Polyester|XS, S, M, L, XL, XXL|Relaxed Fit|59.82|0|Bangladesh|No|0|Functional Design - Padded straps and pocket layout for school|
+|CHD-0087|Classic Fit Children's Caps|Classic Fit|Children|Accessories|Caps|Navy|Striped|Silk|XS, S, M, L, XL, XXL|Tailored Fit|70.93|0|Bangladesh|Yes|172|Trapper Hat Versatility - Adjustable ear flaps for temperature|
+|CHD-0088|Sport Elite Children's Socks|Sport Elite|Children|Accessories|Socks|Brown|Striped|Spandex|XS, S, M, L, XL, XXL|Slim Fit|56.08|10|China|Yes|39|Merino Wool Base Layer - Moisture-wicking for active children|
+|CHD-0089|Urban Thread Children's Scarves|Urban Thread|Children|Accessories|Scarves|Beige|Solid|Leather|XS, S, M, L, XL, XXL|Tailored Fit|41.65|0|Portugal|No|0|Soft Fleece Warmth - Comfortable against children's skin|
+|CHD-0090|Classic Fit Children's Belts|Classic Fit|Children|Accessories|Belts|Red|Checked|Leather|XS, S, M, L, XL, XXL|Athletic Fit|106.14|15|Italy|Yes|189|Simple Buckle Design - Easy for children to manage independently|
+|CHD-0091|Sport Elite Children's Backpacks|Sport Elite|Children|Accessories|Backpacks|Green|Floral|Linen|XS, S, M, L, XL, XXL|Athletic Fit|87.97|15|Portugal|Yes|71|Sustainable Materials - Eco-conscious production for kids' items|
+|CHD-0092|Urban Thread Children's Caps|Urban Thread|Children|Accessories|Caps|White|Printed|Linen|XS, S, M, L, XL, XXL|Tailored Fit|48.06|10|Portugal|Yes|106|Gender-Neutral Styling - Classic patterns for all children|
+|CHD-0093|Classic Fit Children's Socks|Classic Fit|Children|Accessories|Socks|Burgundy|Floral|Spandex|XS, S, M, L, XL, XXL|Regular Fit|51.14|0|Vietnam|Yes|26|Multipack Value - Budget-friendly essential layering pieces|
+|CHD-0094|Sport Elite Children's Scarves|Sport Elite|Children|Accessories|Scarves|Grey|Printed|Linen|XS, S, M, L, XL, XXL|True to Size|35.63|10|USA|Yes|164|Soft Fleece Warmth - Comfortable against children's skin|
+|CHD-0095|Urban Thread Children's Belts|Urban Thread|Children|Accessories|Belts|Brown|Printed|Wool|XS, S, M, L, XL, XXL|Regular Fit|33.15|0|USA|Yes|91|Adjustable Sizing - Growth accommodation in accessories|
+|CHD-0096|Classic Fit Children's Backpacks|Classic Fit|Children|Accessories|Backpacks|Beige|Striped|Linen|XS, S, M, L, XL, XXL|Athletic Fit|115.89|0|Portugal|Yes|111|Growth-Friendly Sizing - Adjustable features for multiple years|
+|CHD-0097|Sport Elite Children's Caps|Sport Elite|Children|Accessories|Caps|Yellow|Floral|Cotton|XS, S, M, L, XL, XXL|True to Size|26.66|10|USA|Yes|66|Gender-Neutral Styling - Classic patterns for all children|
+|CHD-0098|Urban Thread Children's Socks|Urban Thread|Children|Accessories|Socks|Purple|Striped|Canvas|XS, S, M, L, XL, XXL|Tailored Fit|59.71|0|Vietnam|Yes|79|Temperature Regulation - Natural fiber benefits|
+|CHD-0099|Classic Fit Children's Scarves|Classic Fit|Children|Accessories|Scarves|Yellow|Solid|Nylon|XS, S, M, L, XL, XXL|True to Size|67.78|0|USA|No|0|Soft Fleece Warmth - Comfortable against children's skin|
+|CHD-0100|Sport Elite Children's Belts|Sport Elite|Children|Accessories|Belts|Red|Solid|Wool|XS, S, M, L, XL, XXL|Tailored Fit|29.11|0|India|Yes|143|Adjustable Sizing - Growth accommodation in accessories|
+|CHD-0101|Urban Thread Children's Backpacks|Urban Thread|Children|Accessories|Backpacks|Yellow|Geometric|Cotton|XS, S, M, L, XL, XXL|Regular Fit|74.55|0|China|Yes|165|Growth-Friendly Sizing - Adjustable features for multiple years|
+|CHD-0102|Classic Fit Children's Caps|Classic Fit|Children|Accessories|Caps|Brown|Geometric|Nylon|XS, S, M, L, XL, XXL|Relaxed Fit|52.8|10|China|Yes|97|Trapper Hat Versatility - Adjustable ear flaps for temperature|
+|CHD-0103|Sport Elite Children's Socks|Sport Elite|Children|Accessories|Socks|Purple|Floral|Leather|XS, S, M, L, XL, XXL|True to Size|47.72|10|Turkey|Yes|48|Merino Wool Base Layer - Moisture-wicking for active children|
+|CHD-0104|Urban Thread Children's Scarves|Urban Thread|Children|Accessories|Scarves|Charcoal|Floral|Canvas|XS, S, M, L, XL, XXL|Relaxed Fit|37.05|0|Turkey|Yes|141|Snood Protection - Eliminates strangulation hazards|
+|CHD-0105|Classic Fit Children's Belts|Classic Fit|Children|Accessories|Belts|Blue|Solid|Leather|XS, S, M, L, XL, XXL|Tailored Fit|102.12|0|Bangladesh|Yes|13|Adjustable Sizing - Growth accommodation in accessories|
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch1.png b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch1.png
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diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch2.png b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch2.png
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diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch3.png b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/images/arch3.png
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diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/locals.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/locals.tf
new file mode 100644
index 0000000..dae578d
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/locals.tf
@@ -0,0 +1,434 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+data "oci_identity_availability_domains" "ADs" {
+ compartment_id = var.tenancy_ocid
+}
+
+data "oci_identity_tenancy" "tenancy" {
+ tenancy_id = var.tenancy_ocid
+}
+
+data "oci_identity_regions" "regions" {
+}
+
+data "template_file" "ad_names" {
+ count = length(data.oci_identity_availability_domains.ADs.availability_domains)
+ template = lookup(data.oci_identity_availability_domains.ADs.availability_domains[count.index], "name")
+}
+
+data "oci_core_services" "sgw_services" {
+ filter {
+ name = "cidr_block"
+ values = ["all-.*-services-in-oracle-services-network"]
+ regex = true
+ }
+}
+
+data "oci_identity_region_subscriptions" "home_region_subscriptions" {
+ tenancy_id = var.tenancy_ocid
+
+ filter {
+ name = "is_home_region"
+ values = [true]
+ }
+}
+
+locals {
+ effective_oci_private_key_pem = (
+ trimspace(var.oci_private_key_pem) != "" ? trimspace(var.oci_private_key_pem) :
+ trimspace(var.private_key_path) != "" ? trimspace(file(var.private_key_path)) :
+ ""
+ )
+
+ mongodb_hostname = var.mongo_mode == "atlas" ? module.mongodb_atlas[0].mongodb_hostname : ""
+ mongodb_db_name = var.mongo_mode == "atlas" ? module.mongodb_atlas[0].database_name : ""
+ mongodb_username = var.mongo_mode == "atlas" ? var.mongodb_db_username : ""
+ mongodb_password = var.mongo_mode == "atlas" ? var.mongodb_db_password : ""
+
+ enable_mongodb_api = var.mongo_mode == "oracle_api" ? true : false
+
+ # Create Autonomous Data Warehouse
+ adw_params = {
+ adw = {
+ compartment_id = var.compartment_id
+ compute_model = var.adw_db_compute_model
+ compute_count = var.adw_db_compute_count
+ size_in_tbs = var.adw_db_size_in_tbs
+ db_name = var.adw_db_name
+ db_workload = var.adw_db_workload
+ db_version = var.adw_db_version
+ enable_auto_scaling = var.adw_db_enable_auto_scaling
+ is_free_tier = var.adw_db_is_free_tier
+ license_model = var.adw_db_license_model
+ create_local_wallet = true
+ database_admin_password = var.adw_db_password
+ database_wallet_password = var.adw_db_password
+ data_safe_status = var.adw_db_data_safe_status
+ operations_insights_status = var.adw_db_operations_insights_status
+ database_management_status = var.adw_db_database_management_status
+ is_mtls_connection_required = null
+ subnet_id = null
+ nsg_ids = null
+ defined_tags = {}
+ },
+ atp = {
+ compartment_id = var.compartment_id
+ compute_model = var.atp_db_compute_model
+ compute_count = var.atp_db_compute_count
+ size_in_tbs = var.atp_db_size_in_tbs
+ db_name = var.atp_db_name
+ db_workload = var.atp_db_workload
+ db_version = var.atp_db_version
+ enable_auto_scaling = var.atp_db_enable_auto_scaling
+ is_free_tier = var.atp_db_is_free_tier
+ license_model = var.atp_db_license_model
+ create_local_wallet = true
+ database_admin_password = var.atp_db_password
+ database_wallet_password = var.atp_db_password
+ data_safe_status = var.atp_db_data_safe_status
+ operations_insights_status = var.atp_db_operations_insights_status
+ database_management_status = var.atp_db_database_management_status
+ enable_mongodb_api = var.mongo_mode == "oracle_api"
+ is_mtls_connection_required = var.mongo_mode == "oracle_api" ? true : null
+ subnet_id = null
+ nsg_ids = null
+ whitelisted_ips = var.mongo_mode == "oracle_api" ? ["0.0.0.0/0"] : null
+ defined_tags = {}
+ },
+ }
+
+ # Create Object Storage Buckets
+ bucket_params = {
+ ai_files_bucket = {
+ compartment_id = var.compartment_id
+ name = var.files_bucket_name
+ access_type = var.files_bucket_access_type
+ storage_tier = var.files_bucket_storage_tier
+ events_enabled = var.files_bucket_events_enabled
+ defined_tags = {}
+ }
+ atp_creds_bucket = {
+ compartment_id = var.compartment_id
+ name = var.atp_creds_bucket_name
+ access_type = var.atp_creds_bucket_access_type
+ storage_tier = var.atp_creds_bucket_storage_tier
+ events_enabled = var.atp_creds_bucket_events_enabled
+ defined_tags = {}
+ }
+ }
+
+ # Create Instance
+ instance_params = {
+ vnc-instance = {
+ availability_domain = 1
+ compartment_id = var.compartment_id
+ display_name = var.bastion_instance_display_name
+ shape = var.bastion_instance_shape
+ defined_tags = {}
+ freeform_tags = {}
+ subnet_id = lookup(module.network-subnets.subnets, "public-subnet").id
+ vnic_display_name = ""
+ assign_public_ip = true
+ hostname_label = ""
+ nsg_ids = [lookup(module.network-security-groups.nsgs, "public-nsgs-list").id]
+ source_type = "image"
+ source_id = var.bastion_instance_image_ocid[var.region]
+ metadata = {
+ ssh_authorized_keys = module.keygen.OPCPrivateKey.public_key_openssh
+ }
+ fault_domain = ""
+ provisioning_timeout_mins = "30"
+ }
+ }
+
+ vcns-lists = {
+ vcn = {
+ compartment_id = var.compartment_id
+ cidr = var.vcn_cidr
+ dns_label = "vcn"
+ is_create_igw = true
+ is_attach_drg = false
+ block_nat_traffic = false
+ subnets = {}
+ defined_tags = {}
+ freeform_tags = {}
+ }
+ }
+
+ subnet-lists = {
+ "" = {
+ compartment_id = var.compartment_id
+ cidr = var.vcn_cidr
+ dns_label = "vcn"
+ is_create_igw = false
+ is_attach_drg = false
+ block_nat_traffic = false
+
+ subnets = {
+ public-subnet = {
+ compartment_id = var.compartment_id
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ availability_domain = ""
+ cidr = var.public_subnet_cidr
+ dns_label = "public"
+ private = false
+ dhcp_options_id = ""
+ security_list_ids = [module.network-security-lists.security_lists["public_security_list"].id]
+ defined_tags = {}
+ freeform_tags = {}
+ }
+ private-subnet = {
+ compartment_id = var.compartment_id
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ availability_domain = ""
+ cidr = var.private_subnet_cidr
+ dns_label = "private"
+ private = true
+ dhcp_options_id = ""
+ security_list_ids = [module.network-security-lists.security_lists["private_security_list"].id]
+ defined_tags = {}
+ freeform_tags = {}
+ }
+ }
+ defined_tags = {}
+ freeform_tags = {}
+ }
+ }
+
+ subnets_route_tables = {
+ public_route_table-igw = {
+ compartment_id = var.compartment_id
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ subnet_id = lookup(module.network-subnets.subnets, "public-subnet").id
+ route_table_id = ""
+ route_rules = [{
+ is_create = true
+ destination = "0.0.0.0/0"
+ destination_type = "CIDR_BLOCK"
+ network_entity_id = lookup(module.network-vcn.internet_gateways, lookup(module.network-vcn.vcns, "vcn").id).id
+ description = ""
+ }]
+ defined_tags = {}
+ }
+ private_route_table-nat = {
+ compartment_id = var.compartment_id
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ subnet_id = lookup(module.network-subnets.subnets, "private-subnet").id
+ route_table_id = ""
+ route_rules = [{
+ is_create = true
+ destination = "0.0.0.0/0"
+ destination_type = "CIDR_BLOCK"
+ network_entity_id = lookup(module.network-vcn.nat_gateways, lookup(module.network-vcn.vcns, "vcn").id).id
+ description = ""
+ }]
+ defined_tags = {}
+ }
+ }
+
+ network-routing-attachment = {
+ "" = {
+ compartment_id = var.compartment_id
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ subnet_id = lookup(module.network-subnets.subnets, "public-subnet").id
+ route_table_id = lookup(module.network-routing.subnets_route_tables, "public_route_table-igw").id
+ route_rules = []
+ defined_tags = {}
+ }
+ }
+
+ security_lists = {
+ public_security_list = {
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ compartment_id = var.compartment_id
+ defined_tags = {}
+ ingress_rules = concat([{
+ stateless = false
+ protocol = "6"
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = { min = 22, max = 22 }
+ icmp_type = null
+ icmp_code = null
+ }],
+ [{
+ stateless = false
+ protocol = "6"
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = { min = 443, max = 443 }
+ icmp_type = null
+ icmp_code = null
+ }],
+ [{
+ stateless = false
+ protocol = "6"
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = { min = 80, max = 80 }
+ icmp_type = null
+ icmp_code = null
+ }],
+ [{
+ stateless = false
+ protocol = "all"
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = null
+ icmp_type = null
+ icmp_code = null
+ }])
+ egress_rules = [{
+ stateless = false
+ protocol = "all"
+ dst = "0.0.0.0/0"
+ dst_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = null
+ icmp_type = null
+ icmp_code = null
+ }]
+ }
+ private_security_list = {
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ compartment_id = var.compartment_id
+ defined_tags = {}
+ ingress_rules = concat([{
+ stateless = false
+ protocol = "all"
+ src = var.vcn_cidr
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = null
+ icmp_type = null
+ icmp_code = null
+ }],
+ [{
+ stateless = false
+ protocol = "6"
+ src = var.vcn_cidr
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = { min = 22, max = 22 }
+ icmp_type = null
+ icmp_code = null
+ }],
+ [{
+ stateless = false
+ protocol = "17"
+ src = var.vcn_cidr
+ src_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = { min = 3306, max = 3306 }
+ icmp_type = null
+ icmp_code = null
+ }])
+ egress_rules = [{
+ stateless = false
+ protocol = "all"
+ dst = "0.0.0.0/0"
+ dst_type = "CIDR_BLOCK"
+ src_port = null
+ dst_port = null
+ icmp_type = null
+ icmp_code = null
+ }]
+ }
+ }
+
+ nsgs-lists = {
+ public-nsgs-list = {
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ compartment_id = var.compartment_id
+ defined_tags = {}
+ ingress_rules = {
+ web_ingress = {
+ is_create = true
+ description = "web security ingress rule"
+ protocol = "6"
+ stateless = false
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port_min = null
+ src_port_max = null
+ dst_port_min = 80
+ dst_port_max = 80
+ icmp_type = null
+ icmp_code = null
+ }
+ all_ingress = {
+ is_create = true
+ description = "all security ingress rule"
+ protocol = "all"
+ stateless = false
+ src = "0.0.0.0/0"
+ src_type = "CIDR_BLOCK"
+ src_port_min = null
+ src_port_max = null
+ dst_port_min = null
+ dst_port_max = null
+ icmp_type = null
+ icmp_code = null
+ }
+ }
+ egress_rules = {
+ web_igw_egress = {
+ is_create = true
+ description = "web internet security egress rule"
+ protocol = "all"
+ stateless = false
+ dst = "0.0.0.0/0"
+ dst_type = "CIDR_BLOCK"
+ src_port_min = null
+ src_port_max = null
+ dst_port_min = null
+ dst_port_max = null
+ icmp_type = null
+ icmp_code = null
+ }
+ }
+ }
+ private-nsgs-list = {
+ vcn_id = lookup(module.network-vcn.vcns, "vcn").id
+ compartment_id = var.compartment_id
+ defined_tags = {}
+ ingress_rules = {
+ ingress2 = {
+ is_create = true
+ description = "Parameters for customizing Network Security Group(s)."
+ protocol = "all"
+ stateless = false
+ src = var.private_subnet_cidr
+ src_type = "CIDR_BLOCK"
+ dst_port_min = null
+ dst_port_max = null
+ src_port_min = null
+ src_port_max = null
+ icmp_type = null
+ icmp_code = null
+ }
+ }
+ egress_rules = {
+ egress2 = {
+ is_create = true
+ description = "Parameters for customizing Network Security Group(s)."
+ protocol = "all"
+ stateless = false
+ dst = "0.0.0.0/0"
+ dst_type = "CIDR_BLOCK"
+ dst_port_min = null
+ dst_port_max = null
+ src_port_min = null
+ src_port_max = null
+ icmp_type = null
+ icmp_code = null
+ }
+ }
+ }
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/main.tf
new file mode 100644
index 0000000..bb1ca8a
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/main.tf
@@ -0,0 +1,354 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+module "adb" {
+ source = "./modules/cloud-foundation-library/database/adb"
+ adw_params = local.adw_params
+}
+
+module "mongodb_atlas" {
+ count = var.mongo_mode == "atlas" ? 1 : 0
+ source = "./modules/cloud-foundation-library/mongodb-atlas"
+
+ org_id = var.mongodb_atlas_org_id
+ project_name = var.mongodb_atlas_project_name
+ cluster_name = var.mongodb_atlas_cluster_name
+ atlas_region = var.mongodb_atlas_region
+ db_username = var.mongodb_db_username
+ db_password = var.mongodb_db_password
+ database_name = var.mongodb_database_name
+}
+
+module "os" {
+ source = "./modules/cloud-foundation-library/object-storage"
+ depends_on = [module.adb]
+ tenancy_ocid = var.tenancy_ocid
+ bucket_params = {
+ for k, v in local.bucket_params : k => v if v.compartment_id != ""
+ }
+}
+
+module "network-vcn" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/vcn-basic"
+ compartment_id = var.compartment_id
+ service_label = ""
+ service_gateway_cidr = lookup(data.oci_core_services.sgw_services.services[0], "cidr_block")
+ vcns = {
+ for k, v in local.vcns-lists : k => v if v.compartment_id != ""
+ }
+}
+
+module "network-subnets" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/vcn-basic"
+ compartment_id = var.compartment_id
+ service_label = ""
+ service_gateway_cidr = lookup(data.oci_core_services.sgw_services.services[0], "cidr_block")
+ vcns = {
+ for k, v in local.subnet-lists : k => v if v.compartment_id != ""
+ }
+}
+
+module "network-routing" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/vcn-routing"
+ compartment_id = var.compartment_id
+ subnets_route_tables = {
+ for k, v in local.subnets_route_tables : k => v if v.compartment_id != ""
+ }
+}
+
+module "network-routing-attachment" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/vcn-routing"
+ compartment_id = var.compartment_id
+ subnets_route_tables = local.network-routing-attachment
+}
+
+module "network-security-lists" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/security"
+ compartment_id = var.compartment_id
+ ports_not_allowed_from_anywhere_cidr = []
+ security_lists = {
+ for k, v in local.security_lists : k => v if v.compartment_id != ""
+ }
+}
+
+module "network-security-groups" {
+ source = "./modules/oci-cis-landingzone-quickstart/network/security"
+ compartment_id = var.compartment_id
+ nsgs = local.nsgs-lists
+}
+
+module "keygen" {
+ source = "./modules/cloud-foundation-library/keygen"
+}
+
+module "web-instance" {
+ source = "./modules/cloud-foundation-library/instance_with_out_flexible"
+ tenancy_ocid = var.tenancy_ocid
+ instance_params = local.instance_params
+}
+
+module "cart_api_gateway" {
+ source = "./modules/cloud-foundation-library/oci-api-gateway-cart"
+
+ compartment_id = var.compartment_id
+ subnet_id = lookup(module.network-subnets.subnets, "public-subnet").id
+ gateway_display_name = "jc-iad-apigw-hub"
+ deployment_display_name = "fashion-store-cart-api"
+ endpoint_type = "PUBLIC"
+ path_prefix = "/v1"
+ execution_log_level = "INFO"
+ enable_access_log = false
+ defined_tags = {}
+
+ http_routes = [
+ {
+ path = "/api/v1/cart/items"
+ methods = ["POST"]
+ url = "http://${module.web-instance.InstancePublicIPs[0]}:5000/api/v1/cart/items"
+ connect_timeout = 60
+ read_timeout = 10
+ send_timeout = 10
+ is_ssl_verify_disabled = false
+ }
+ ]
+
+ stock_routes = [
+ {
+ path = "/cart"
+ methods = ["GET"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "text/html" }]
+ },
+ {
+ path = "/api/cart/update"
+ methods = ["POST"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/cart/remove"
+ methods = ["POST"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart"
+ methods = ["GET"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart"
+ methods = ["POST"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/items/{product_id}"
+ methods = ["DELETE"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/items/{product_id}"
+ methods = ["PATCH"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/clear"
+ methods = ["POST"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/shipping-address"
+ methods = ["PUT"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/coupons"
+ methods = ["POST"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/coupons/{coupon_code}"
+ methods = ["DELETE"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ },
+ {
+ path = "/api/v1/cart/summary"
+ methods = ["GET"]
+ status = 200
+ body = ""
+ headers = [{ name = "Content-Type", value = "application/json" }]
+ }
+ ]
+}
+
+data "oci_objectstorage_namespace" "this" {
+ compartment_id = var.compartment_id
+}
+
+resource "null_resource" "upload_wallet_to_object_storage" {
+ depends_on = [module.adb, module.os]
+
+ provisioner "local-exec" {
+ command = <<-EOT
+ set -euo pipefail
+
+ WALLET_ZIP="wallet_${var.atp_db_name}.zip"
+ NAMESPACE="${data.oci_objectstorage_namespace.this.namespace}"
+ BUCKET="${var.atp_creds_bucket_name}"
+
+ if [ ! -f "$WALLET_ZIP" ]; then
+ echo "ERROR: Wallet zip not found: $WALLET_ZIP"
+ exit 1
+ fi
+
+ TMP_DIR="$(mktemp -d)"
+ trap 'rm -rf "$TMP_DIR"' EXIT
+
+ echo "Unzipping $WALLET_ZIP to $TMP_DIR ..."
+ unzip -o "$WALLET_ZIP" -d "$TMP_DIR" >/dev/null
+
+ echo "Uploading wallet contents to bucket: $BUCKET (namespace: $NAMESPACE) ..."
+ cd "$TMP_DIR"
+
+ find . -type f -print0 | while IFS= read -r -d '' f; do
+ obj_name="$${f#./}"
+ echo " -> $obj_name"
+ oci os object put -ns "$NAMESPACE" -bn "$BUCKET" --force --name "$obj_name" --file "$f" >/dev/null
+ done
+
+ echo "Done."
+ EOT
+ }
+}
+
+resource "null_resource" "upload_files_to_object_storage" {
+ depends_on = [module.os]
+
+ provisioner "local-exec" {
+ command = <<-EOT
+ set -euo pipefail
+
+ SOURCE_DIR="${path.root}/fashion-articles"
+ NAMESPACE="${data.oci_objectstorage_namespace.this.namespace}"
+ BUCKET="${var.files_bucket_name}"
+
+ if [ ! -d "$SOURCE_DIR" ]; then
+ echo "ERROR: Source directory not found: $SOURCE_DIR"
+ exit 1
+ fi
+
+ echo "Uploading files from $SOURCE_DIR to bucket: $BUCKET (namespace: $NAMESPACE) ..."
+
+ cd "$SOURCE_DIR"
+
+ find . -type f -print0 | while IFS= read -r -d '' f; do
+ obj_name="$${f#./}"
+ echo " -> $obj_name"
+ oci os object put \
+ -ns "$NAMESPACE" \
+ -bn "$BUCKET" \
+ --force \
+ --name "$obj_name" \
+ --file "$f" >/dev/null
+ done
+
+ echo "Done."
+ EOT
+ }
+}
+
+module "provisioner" {
+ source = "./modules/provisioner"
+ depends_on = [
+ module.adb,
+ module.keygen,
+ module.web-instance,
+ module.os,
+ module.cart_api_gateway,
+ null_resource.upload_wallet_to_object_storage,
+ null_resource.upload_files_to_object_storage,
+ module.mongodb_atlas
+ ]
+
+ host = module.web-instance.InstancePublicIPs[0]
+ private_key = module.keygen.OPCPrivateKey["private_key_pem"]
+ atp_url = module.adb.adw_sql_dev_web_urls
+ db_password = var.adw_db_password
+ db_name = var.adw_db_name
+ atp_db_name = var.atp_db_name
+ atp_db_password = var.atp_db_password
+ conn_db = module.adb.high_mutual_connection_string["adw"]
+ conn_db_atp = module.adb.high_mutual_connection_string["atp"]
+ atp_creds_bucket_name = var.atp_creds_bucket_name
+
+ compartment_id = var.compartment_id
+ atp_wallet_zip_path = "${path.root}/wallet_${var.atp_db_name}.zip"
+ service_selector = "_tp"
+
+ oci_user_ocid = trimspace(var.user_ocid)
+ oci_tenancy_ocid = trimspace(var.tenancy_ocid)
+ oci_fingerprint = trimspace(var.fingerprint)
+ oci_private_key_pem = local.effective_oci_private_key_pem
+ objectstorage_region = var.region
+
+ api_gateway_hostname = module.cart_api_gateway.gateway_hostname
+ rag_region = var.rag_region
+ genai_embedding_region = var.genai_embedding_region
+ rag_compartment_id = var.compartment_id
+ files_bucket_name = var.files_bucket_name
+ cart_items_api_url = "${module.cart_api_gateway.deployment_endpoint}/api/v1/cart/items"
+ cart_summary_api_url = "${module.cart_api_gateway.deployment_endpoint}/api/v1/cart/summary"
+
+ select_ai_model_nl2sql = var.select_ai_model_nl2sql
+ select_ai_model_agent = var.select_ai_model_agent
+ select_ai_model_rag = var.select_ai_model_rag
+ select_ai_embedding_model = var.select_ai_embedding_model
+
+ mongo_mode = var.mongo_mode
+
+ mongodb_hostname = local.mongodb_hostname
+ mongodb_db_name = local.mongodb_db_name
+ mongodb_username = local.mongodb_username
+ mongodb_password = local.mongodb_password
+
+ oracle_mongo_url = try(module.adb.mongo_db_urls["atp"], "")
+
+ mongo_uri = (
+ var.mongo_mode == "atlas" ? module.mongodb_atlas[0].mongodb_uri :
+ var.mongo_mode == "oracle_api" ? replace(
+ replace(
+ try(module.adb.mongo_db_urls["atp"], ""),
+ "[user:password@]",
+ "${var.oracle_mongo_username}:${var.oracle_mongo_password}@"
+ ),
+ "[user]",
+ var.oracle_mongo_schema
+ ) :
+ ""
+ )
+
+ mongo_db_name = (
+ var.mongo_mode == "atlas" ? module.mongodb_atlas[0].database_name :
+ var.mongo_mode == "oracle_api" ? var.oracle_mongo_schema :
+ ""
+ )
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/main.tf
new file mode 100644
index 0000000..1e0a0e1
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/main.tf
@@ -0,0 +1,67 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+locals {
+ adw_download_wallet = { for key, value in var.adw_params : key => value if value.create_local_wallet == true }
+}
+
+resource "oci_database_autonomous_database_wallet" "autonomous_database_wallet" {
+ for_each = var.adw_params
+ autonomous_database_id = oci_database_autonomous_database.adw[each.key].id
+ password = each.value.database_wallet_password
+ base64_encode_content = "true"
+}
+
+resource "local_file" "autonomous_data_warehouse_wallet_file" {
+ for_each = local.adw_download_wallet
+ content_base64 = oci_database_autonomous_database_wallet.autonomous_database_wallet[each.key].content
+ filename = "${path.cwd}/wallet_${each.value.db_name}.zip"
+}
+
+resource "oci_database_autonomous_database" "adw" {
+ for_each = var.adw_params
+ admin_password = each.value.database_admin_password
+ compartment_id = each.value.compartment_id
+ compute_model = each.value.compute_model
+ compute_count = each.value.compute_count
+ data_storage_size_in_tbs = each.value.size_in_tbs
+ db_name = each.value.db_name
+ display_name = each.value.db_name
+ db_workload = each.value.db_workload
+ db_version = each.value.db_version
+ license_model = each.value.license_model
+ is_mtls_connection_required = each.value.is_mtls_connection_required
+ subnet_id = each.value.subnet_id
+ nsg_ids = each.value.nsg_ids
+ whitelisted_ips = try(each.value.whitelisted_ips, null)
+ defined_tags = each.value.defined_tags
+ is_auto_scaling_enabled = each.value.enable_auto_scaling
+ is_free_tier = each.value.is_free_tier
+ data_safe_status = each.value.data_safe_status
+ operations_insights_status = each.value.operations_insights_status
+ database_management_status = each.value.database_management_status
+
+ dynamic "db_tools_details" {
+ for_each = coalesce(each.value.enable_mongodb_api, false) ? [1] : []
+ content {
+ name = "MONGODB_API"
+ is_enabled = true
+ }
+ }
+
+ lifecycle {
+ ignore_changes = [
+ db_tools_details
+ ]
+ }
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/outputs.tf
new file mode 100644
index 0000000..a673d81
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/outputs.tf
@@ -0,0 +1,112 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "atp_db_id" {
+ value = {
+ for adw in oci_database_autonomous_database.adw:
+ adw.display_name => adw.id
+ }
+}
+
+output "ad" {
+ value = {
+ for idx, ad in oci_database_autonomous_database.adw:
+ ad.db_name => { "connection_strings" : ad.connection_strings.0.all_connection_strings}
+ }
+}
+
+# output "db_connection" {
+# value = one([ for b in oci_database_autonomous_database.adw : b.connection_strings])
+# }
+
+# output "private_endpoint_ip" {
+# value = one([for b in oci_database_autonomous_database.adw : b.private_endpoint_ip])
+# }
+
+output "db_connection" {
+ value = { for k, db in oci_database_autonomous_database.adw : k => db.connection_strings }
+}
+
+output "private_endpoint_ip" {
+ value = { for k, db in oci_database_autonomous_database.adw : k => db.private_endpoint_ip }
+}
+
+
+
+output "private_endpoint" {
+ value = ([for b in oci_database_autonomous_database.adw : b.private_endpoint])
+}
+
+output "url" {
+ value = [for b in oci_database_autonomous_database.adw : b.connection_urls.0.sql_dev_web_url]
+}
+
+output "graph_studio_url" {
+ value = [for b in oci_database_autonomous_database.adw : b.connection_urls.0.graph_studio_url]
+}
+
+output "machine_learning_user_management_url" {
+ value = [for b in oci_database_autonomous_database.adw : b.connection_urls.0.machine_learning_user_management_url]
+}
+
+output "adb_wallet_content" {
+value = oci_database_autonomous_database_wallet.autonomous_database_wallet["adw"].content
+}
+
+output "database_fully_qualified_name" {
+ value = lower(trimsuffix(trimprefix(join("\n", [for b in oci_database_autonomous_database.adw : b.connection_urls.0.graph_studio_url]), "https://"), "/graphstudio/?sso=true"))
+}
+
+output "adw" {
+ value = {
+ for adw in oci_database_autonomous_database.adw:
+ adw.display_name => adw.id
+ }
+}
+
+output "autonomous_database_connection_strings_high" {
+ description = "A comma-separated list of HIGH connection strings for all autonomous databases."
+ value = join(", ", [for db in oci_database_autonomous_database.adw : db.connection_strings[0].high])
+}
+
+# output "high_mutual_connection_string" {
+# description = "The connection string for the HIGH consumer group with MUTUAL TLS authentication."
+# value = one([
+# for db in oci_database_autonomous_database.adw :
+# (flatten([for p in db.connection_strings[0].profiles : [p.value] if p.consumer_group == "HIGH" && p.tls_authentication == "MUTUAL"])[0])
+# if length(flatten([for p in db.connection_strings[0].profiles : [p.value] if p.consumer_group == "HIGH" && p.tls_authentication == "MUTUAL"])) > 0
+# ])
+# }
+
+
+output "adw_sql_dev_web_urls" {
+ value = {
+ for key, adw in oci_database_autonomous_database.adw :
+ key => trimsuffix(adw.connection_urls[0].sql_dev_web_url, "/sql-developer")
+ }
+}
+
+output "high_mutual_connection_string" {
+ value = {
+ for k, db in oci_database_autonomous_database.adw :
+ k => (
+ flatten([
+ for p in db.connection_strings[0].profiles :
+ [p.value]
+ if p.consumer_group == "HIGH" && p.tls_authentication == "MUTUAL"
+ ])[0]
+ )
+ if length(flatten([
+ for p in db.connection_strings[0].profiles :
+ [p.value]
+ if p.consumer_group == "HIGH" && p.tls_authentication == "MUTUAL"
+ ])) > 0
+ }
+}
+
+output "mongo_db_urls" {
+ value = {
+ for k, v in oci_database_autonomous_database.adw :
+ k => try(v.connection_urls[0].mongo_db_url, null)
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/variables.tf
new file mode 100644
index 0000000..2eb931c
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/database/adb/variables.tf
@@ -0,0 +1,29 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "adw_params" {
+ type = map(object({
+ compartment_id = string
+ compute_model = string
+ compute_count = number
+ size_in_tbs = number
+ db_name = string
+ db_workload = string
+ db_version = string
+ license_model = string
+ database_admin_password = string
+ database_wallet_password = string
+ enable_auto_scaling = bool
+ is_free_tier = bool
+ create_local_wallet = bool
+ is_mtls_connection_required = bool
+ subnet_id = string
+ data_safe_status = string
+ operations_insights_status = string
+ database_management_status = string
+ nsg_ids = list(string)
+ defined_tags = map(string)
+ enable_mongodb_api = optional(bool)
+ whitelisted_ips = optional(list(string))
+ }))
+}
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/instance.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/instance.tf
new file mode 100644
index 0000000..40513ab
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/instance.tf
@@ -0,0 +1,58 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+data "oci_identity_availability_domains" "ADs" {
+ compartment_id = var.tenancy_ocid
+}
+
+
+resource "oci_core_instance" "instance" {
+
+ for_each = var.instance_params
+
+ availability_domain = data.oci_identity_availability_domains.ADs.availability_domains[each.value.availability_domain - 1].name
+ compartment_id = each.value.compartment_id
+ display_name = each.value.display_name
+ shape = each.value.shape
+
+ defined_tags = each.value.defined_tags
+ freeform_tags = each.value.freeform_tags
+
+ create_vnic_details {
+ subnet_id = each.value.subnet_id
+ display_name = each.value.vnic_display_name
+ assign_public_ip = each.value.assign_public_ip
+ hostname_label = each.value.hostname_label
+ }
+
+ source_details {
+ source_type = each.value.source_type
+ source_id = each.value.source_id
+ }
+
+ metadata = each.value.metadata
+
+ fault_domain = each.value.fault_domain
+
+ timeouts {
+ create = "${each.value.provisioning_timeout_mins}m"
+ }
+
+ #prevent any metadata changes to destroy instance
+ # lifecycle {
+ # ignore_changes = [metadata, shape, shape_config]
+ # }
+ lifecycle {
+ ignore_changes = all
+ }
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/outputs.tf
new file mode 100644
index 0000000..74cd65a
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/outputs.tf
@@ -0,0 +1,70 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# Output the private and public IPs of the instance
+
+output "InstancePrivateIPs" {
+ value = [ for b in oci_core_instance.instance : b.private_ip]
+}
+
+output "InstancePublicIPs" {
+ value = [ for b in oci_core_instance.instance : b.public_ip]
+}
+
+output "InstanceOcids" {
+ value = [ for b in oci_core_instance.instance : b.id]
+}
+
+output "display_names" {
+ value = [ for b in oci_core_instance.instance : b.display_name]
+}
+
+output "InstanceShapes" {
+ value = [ for b in oci_core_instance.instance : b.shape]
+}
+
+output "AvailabilityDomains" {
+ value = [ for b in oci_core_instance.instance : b.availability_domain]
+}
+
+locals {
+ linux_instances = {
+ for instance in oci_core_instance.instance :
+ instance.display_name => { "id" : instance.id, "ip" : instance.public_ip != "" ? instance.public_ip : instance.private_ip }
+ }
+
+ linux_ids = {
+ for instance in oci_core_instance.instance :
+ instance.display_name => instance.id
+ }
+
+ linux_private_ips = {
+ for instance in oci_core_instance.instance :
+ instance.display_name => instance.private_ip
+ }
+
+ linux_public_ips = {
+ for instance in oci_core_instance.instance :
+ instance.display_name => instance.public_ip
+ }
+
+ all_instances = local.linux_ids
+ all_private_ips = local.linux_private_ips
+ all_public_ips = local.linux_public_ips
+}
+
+output "linux_instances" {
+ value = local.linux_instances
+}
+
+output "all_instances" {
+ value = local.all_instances
+}
+
+output "all_private_ips" {
+ value = local.all_private_ips
+}
+
+output "all_public_ips" {
+ value = local.all_public_ips
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/variables.tf
new file mode 100644
index 0000000..df59837
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/instance_with_out_flexible/variables.tf
@@ -0,0 +1,36 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "tenancy_ocid" {
+ type = string
+}
+
+variable "instance_params" {
+
+ type = map(object({
+
+ availability_domain = number
+ compartment_id = string
+ display_name = string
+ shape = string
+
+ defined_tags = map(string)
+ freeform_tags = map(string)
+
+ subnet_id = string
+ vnic_display_name = string
+ assign_public_ip = string
+ hostname_label = string
+
+ source_type = string
+ source_id = string
+
+ metadata = map(string)
+
+ fault_domain = string
+
+ provisioning_timeout_mins = string
+
+}))
+
+}
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/keygen.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/keygen.tf
new file mode 100644
index 0000000..65ed920
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/keygen.tf
@@ -0,0 +1,52 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# TEMP WAY OF CREATING ORACLE SSH KEY FOR DEVELOPMENT
+resource "tls_private_key" "oracle_key" {
+ algorithm = "RSA"
+ rsa_bits = 4096
+}
+
+# Creating OPC key for script copy
+resource "tls_private_key" "opc_key" {
+ algorithm = "RSA"
+ rsa_bits = 4096
+}
+
+//For Load Balancer
+resource "tls_private_key" "ss_private_key" {
+
+ algorithm = "RSA"
+ rsa_bits = 4096
+}
+
+resource "tls_self_signed_cert" "demo_cert" {
+
+ # key_algorithm = "RSA"
+ private_key_pem = tls_private_key.ss_private_key.private_key_pem
+
+ subject {
+ common_name = format("%s-%s", var.display_name,var.subnet_domain_name)
+ organization = "Demo"
+ organizational_unit = "FOR TESTING ONLY"
+ }
+
+ #1 year validity
+ validity_period_hours = 24 * 365
+
+ allowed_uses = [
+ "digital_signature",
+ "cert_signing",
+ "crl_signing",
+ ]
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/outputs.tf
new file mode 100644
index 0000000..82c7c29
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/outputs.tf
@@ -0,0 +1,44 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "OPCPrivateKey" {
+ value = tomap({"public_key_openssh" = tls_private_key.opc_key.public_key_openssh, "private_key_pem"=tls_private_key.opc_key.private_key_pem})
+}
+
+output "OraclePrivateKey" {
+ value = tomap({"public_key_openssh"=tls_private_key.oracle_key.public_key_openssh, "private_key_pem"=tls_private_key.oracle_key.private_key_pem})
+}
+
+output "SSPrivateKey" {
+ value = tomap({"private_key_pem"=tls_private_key.ss_private_key.private_key_pem})
+}
+
+output "CertPem" {
+ value = tomap({"cert_pem"=tls_self_signed_cert.demo_cert.cert_pem})
+}
+
+resource local_file "cert_demo" {
+ content = tls_self_signed_cert.demo_cert.cert_pem
+ filename = "cert_demo.pem"
+ file_permission = 0777
+ directory_permission = 0777
+}
+
+resource local_file "cert_private_key" {
+ content = tls_private_key.ss_private_key.private_key_pem
+ filename = "cert_private_key.pem"
+ file_permission = 0777
+ directory_permission = 0777
+}
+
+resource "local_file" "private_key" {
+ content = tls_private_key.opc_key.private_key_pem
+ filename = "private_key.pem"
+ file_permission = "0600"
+}
+
+resource "local_file" "public_key" {
+ content = tls_private_key.opc_key.public_key_openssh
+ filename = "public_key.pem"
+ file_permission = "0600"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/variables.tf
new file mode 100644
index 0000000..8ea0673
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/keygen/variables.tf
@@ -0,0 +1,19 @@
+# Copyright (c) 2022 Oracle and/or its affiliates.
+# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "display_name" {
+ description = "Display Name for organization."
+ default = "common"
+}
+
+variable "subnet_domain_name" {
+ default = "subnet_domain"
+}
+
+variable "organization" {
+ default = "Demo"
+}
+
+variable "organizational_unit" {
+ default = "FOR TESTING ONLY"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/main.tf
new file mode 100644
index 0000000..06bf1bb
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/main.tf
@@ -0,0 +1,47 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+resource "mongodbatlas_project" "this" {
+ name = var.project_name
+ org_id = var.org_id
+}
+
+resource "mongodbatlas_project_ip_access_list" "allow_all" {
+ project_id = mongodbatlas_project.this.id
+ cidr_block = "0.0.0.0/0"
+ comment = "Allow all for demo / OCI VM access"
+}
+
+# resource "mongodbatlas_project_ip_access_list" "bastion" {
+# project_id = mongodbatlas_project.this.id
+# cidr_block = var.allowed_cidr_block
+# comment = "OCI bastion public IP"
+# }
+
+resource "mongodbatlas_cluster" "this" {
+ project_id = mongodbatlas_project.this.id
+ name = var.cluster_name
+
+ provider_name = "TENANT"
+ backing_provider_name = "AWS"
+ provider_instance_size_name = "M0"
+ provider_region_name = var.atlas_region
+}
+
+resource "mongodbatlas_database_user" "app_user" {
+ project_id = mongodbatlas_project.this.id
+ username = var.db_username
+ password = var.db_password
+ auth_database_name = "admin"
+
+ roles {
+ role_name = "readWriteAnyDatabase"
+ database_name = "admin"
+ }
+
+ scopes {
+ name = mongodbatlas_cluster.this.name
+ type = "CLUSTER"
+ }
+}
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/outputs.tf
new file mode 100644
index 0000000..87f4ffd
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/outputs.tf
@@ -0,0 +1,27 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "project_id" {
+ value = mongodbatlas_project.this.id
+}
+
+output "cluster_name" {
+ value = mongodbatlas_cluster.this.name
+}
+
+output "mongodb_srv_address" {
+ value = mongodbatlas_cluster.this.connection_strings[0].standard_srv
+}
+
+output "mongodb_uri" {
+ value = "mongodb+srv://${var.db_username}:${urlencode(var.db_password)}@${replace(mongodbatlas_cluster.this.connection_strings[0].standard_srv, "mongodb+srv://", "")}/${var.database_name}?retryWrites=true&w=majority"
+ sensitive = false
+}
+
+output "database_name" {
+ value = var.database_name
+}
+
+output "mongodb_hostname" {
+ value = replace(mongodbatlas_cluster.this.connection_strings[0].standard_srv, "mongodb+srv://", "")
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/provider.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/provider.tf
new file mode 100644
index 0000000..f3a814e
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/provider.tf
@@ -0,0 +1,11 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+terraform {
+ required_providers {
+ mongodbatlas = {
+ source = "mongodb/mongodbatlas"
+ version = "~> 1.27"
+ }
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/variables.tf
new file mode 100644
index 0000000..b5b60bf
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/mongodb-atlas/variables.tf
@@ -0,0 +1,35 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "org_id" {
+ type = string
+}
+
+variable "project_name" {
+ type = string
+}
+
+variable "cluster_name" {
+ type = string
+}
+
+variable "atlas_region" {
+ type = string
+}
+
+variable "db_username" {
+ type = string
+}
+
+variable "db_password" {
+ type = string
+ sensitive = false
+}
+
+variable "database_name" {
+ type = string
+}
+
+# variable "allowed_cidr_block" {
+# type = string
+# }
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/main.tf
new file mode 100644
index 0000000..6d5a7ab
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/main.tf
@@ -0,0 +1,29 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+data "oci_objectstorage_namespace" "os" {
+ compartment_id = var.tenancy_ocid
+}
+
+resource "oci_objectstorage_bucket" "os" {
+ for_each = {
+ for k,v in var.bucket_params : k => v if v.compartment_id != ""
+ }
+ compartment_id = each.value.compartment_id
+ name = each.value.name
+ namespace = data.oci_objectstorage_namespace.os.namespace
+ access_type = each.value.access_type
+ storage_tier = each.value.storage_tier
+ object_events_enabled = each.value.events_enabled
+ defined_tags = each.value.defined_tags
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/outputs.tf
new file mode 100644
index 0000000..ccc8069
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/outputs.tf
@@ -0,0 +1,30 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# output "buckets" {
+# value = {
+# for bucket in oci_objectstorage_bucket.os:
+# bucket.name => bucket.access_type
+# }
+# }
+
+
+output "buckets_id"{
+ value = {
+ for bucket in oci_objectstorage_bucket.os:
+ bucket.name => {"compartment_id": bucket.compartment_id, "id": bucket.id}
+ }
+}
+
+
+output "buckets" {
+ description = "Buckets informations."
+ value = length(oci_objectstorage_bucket.os) > 0 ? oci_objectstorage_bucket.os[*] : null
+}
+
+output "bucket_id" {
+ value = {
+ for bucket in oci_objectstorage_bucket.os :
+ bucket.name => bucket.bucket_id
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/variables.tf
new file mode 100644
index 0000000..8eb6752
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/object-storage/variables.tf
@@ -0,0 +1,18 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+
+variable "tenancy_ocid" {
+ type = string
+}
+
+variable "bucket_params" {
+ type = map(object({
+ compartment_id = string
+ name = string
+ access_type = string
+ storage_tier = string
+ events_enabled = bool
+ defined_tags = map(string)
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/main.tf
new file mode 100644
index 0000000..30542d1
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/main.tf
@@ -0,0 +1,78 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+resource "oci_apigateway_gateway" "this" {
+ compartment_id = var.compartment_id
+ endpoint_type = var.endpoint_type
+ subnet_id = var.subnet_id
+ display_name = var.gateway_display_name
+
+ network_security_group_ids = var.network_security_group_ids
+ defined_tags = var.defined_tags
+}
+
+resource "oci_apigateway_deployment" "this" {
+ compartment_id = var.compartment_id
+ path_prefix = var.path_prefix
+ gateway_id = oci_apigateway_gateway.this.id
+ display_name = var.deployment_display_name
+ defined_tags = var.defined_tags
+
+ specification {
+ logging_policies {
+ access_log {
+ is_enabled = var.enable_access_log
+ }
+
+ execution_log {
+ is_enabled = true
+ log_level = var.execution_log_level
+ }
+ }
+
+ dynamic "routes" {
+ for_each = var.http_routes
+ iterator = route
+
+ content {
+ path = route.value.path
+ methods = route.value.methods
+
+ backend {
+ type = "HTTP_BACKEND"
+ url = route.value.url
+ connect_timeout_in_seconds = route.value.connect_timeout
+ read_timeout_in_seconds = route.value.read_timeout
+ send_timeout_in_seconds = route.value.send_timeout
+ is_ssl_verify_disabled = route.value.is_ssl_verify_disabled
+ }
+ }
+ }
+
+ dynamic "routes" {
+ for_each = var.stock_routes
+ iterator = route
+
+ content {
+ path = route.value.path
+ methods = route.value.methods
+
+ backend {
+ type = "STOCK_RESPONSE_BACKEND"
+ status = route.value.status
+ body = route.value.body
+
+ dynamic "headers" {
+ for_each = route.value.headers
+ iterator = header
+
+ content {
+ name = header.value.name
+ value = header.value.value
+ }
+ }
+ }
+ }
+ }
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/outputs.tf
new file mode 100644
index 0000000..791bb6d
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/outputs.tf
@@ -0,0 +1,39 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "gateway_id" {
+ value = oci_apigateway_gateway.this.id
+}
+
+output "gateway_display_name" {
+ value = oci_apigateway_gateway.this.display_name
+}
+
+output "gateway_hostname" {
+ value = oci_apigateway_gateway.this.hostname
+}
+
+output "deployment_id" {
+ value = oci_apigateway_deployment.this.id
+}
+
+output "deployment_display_name" {
+ value = oci_apigateway_deployment.this.display_name
+}
+
+output "deployment_endpoint" {
+ value = oci_apigateway_deployment.this.endpoint
+}
+
+output "routes" {
+ value = concat(
+ [
+ for r in var.stock_routes :
+ "${oci_apigateway_deployment.this.endpoint}${r.path}"
+ ],
+ [
+ for r in var.http_routes :
+ "${oci_apigateway_deployment.this.endpoint}${r.path}"
+ ]
+ )
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/variables.tf
new file mode 100644
index 0000000..8270be7
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/variables.tf
@@ -0,0 +1,77 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "compartment_id" {
+ type = string
+}
+
+variable "subnet_id" {
+ type = string
+}
+
+variable "gateway_display_name" {
+ type = string
+ default = "jc-iad-apigw-hub"
+}
+
+variable "deployment_display_name" {
+ type = string
+ default = "fashion-store-cart-api"
+}
+
+variable "endpoint_type" {
+ type = string
+ default = "PUBLIC"
+}
+
+variable "path_prefix" {
+ type = string
+ default = "/v1"
+}
+
+variable "execution_log_level" {
+ type = string
+ default = "INFO"
+}
+
+variable "enable_access_log" {
+ type = bool
+ default = false
+}
+
+variable "network_security_group_ids" {
+ type = list(string)
+ default = []
+}
+
+variable "defined_tags" {
+ type = map(string)
+ default = {}
+}
+
+variable "http_routes" {
+ type = list(object({
+ path = string
+ methods = list(string)
+ url = string
+ connect_timeout = number
+ read_timeout = number
+ send_timeout = number
+ is_ssl_verify_disabled = bool
+ }))
+ default = []
+}
+
+variable "stock_routes" {
+ type = list(object({
+ path = string
+ methods = list(string)
+ status = number
+ body = string
+ headers = list(object({
+ name = string
+ value = string
+ }))
+ }))
+ default = []
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/versions.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/versions.tf
new file mode 100644
index 0000000..a8d7df6
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/cloud-foundation-library/oci-api-gateway-cart/versions.tf
@@ -0,0 +1,13 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+terraform {
+ required_version = ">= 1.5.0"
+
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 6.0.0"
+ }
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/init.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/init.tf
new file mode 100644
index 0000000..2af167c
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/init.tf
@@ -0,0 +1,11 @@
+# # Copyright © 2022, Oracle and/or its affiliates.
+# # All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# terraform {
+# required_version = ">= 0.14.0"
+# required_providers {
+# oci = {
+# source = "oracle/oci"
+# }
+# }
+# }
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/main.tf
new file mode 100755
index 0000000..ac2a364
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/main.tf
@@ -0,0 +1,26 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+### Dynamic Group policy
+
+resource "oci_identity_dynamic_group" "these" {
+ for_each = var.dynamic_groups
+ name = each.key
+ compartment_id = each.value.compartment_id
+ description = each.value.description
+ matching_rule = each.value.matching_rule
+
+ #Optional
+ # defined_tags = each.defined_tags
+ # freeform_tags = each.freeform_tags
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/outputs.tf
new file mode 100755
index 0000000..6d13858
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/outputs.tf
@@ -0,0 +1,7 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "dynamic_groups" {
+ description = "The dynamic-groups indexed by group name."
+ value = { for dg in oci_identity_dynamic_group.these : dg.name => dg }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/variables.tf
new file mode 100755
index 0000000..aac8707
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/iam/iam-dynamic-group/variables.tf
@@ -0,0 +1,10 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "dynamic_groups" {
+ type = map(object({
+ description = string
+ compartment_id = string
+ matching_rule = string
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/main.tf
new file mode 100644
index 0000000..f7c443a
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/main.tf
@@ -0,0 +1,22 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+
+# resource "oci_core_drg" "this" {
+# count = var.is_create_drg == true ? 1 : 0
+# compartment_id = var.compartment_id
+# display_name = "${var.service_label}-drg"
+# }
+
+
+resource "oci_core_drg" "this" {
+ for_each = var.drg_params
+ compartment_id = var.compartment_id
+ display_name = each.value.name
+ defined_tags = each.value.defined_tags
+}
+
+
+
+
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/outputs.tf
new file mode 100644
index 0000000..de8e0b4
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/outputs.tf
@@ -0,0 +1,23 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# output "drg" {
+# description = "DRG information."
+# value = length(oci_core_drg.this) > 0 ? oci_core_drg.this[0] : null
+# }
+
+# output "drg_id" {
+# value = oci_core_drg.this.*.id
+# }
+
+output "drgs_list" {
+ value = {
+ for drg in oci_core_drg.this:
+ drg.display_name => drg.id
+ }
+}
+
+output "drgs_details" {
+ description = "DRG information."
+ value = length(oci_core_drg.this) > 0 ? oci_core_drg.this[*] : null
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/variables.tf
new file mode 100644
index 0000000..ab2dd2b
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/drg/variables.tf
@@ -0,0 +1,26 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+
+variable "compartment_id" {
+ description = "Compartment's OCID where VCN will be created."
+}
+
+# variable "service_label" {
+# description = "A service label to be used as part of resource names."
+# }
+
+# variable "is_create_drg" {
+# description = "Whether a DRG is to be created."
+# default = false
+# type = bool
+# }
+
+
+variable "drg_params" {
+ type = map(object({
+ name = string
+ cidr_rt = string
+ defined_tags = map(string)
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/dhcp_options.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/dhcp_options.tf
new file mode 100644
index 0000000..ea83588
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/dhcp_options.tf
@@ -0,0 +1,21 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+resource "oci_core_dhcp_options" "these" {
+
+ for_each = var.dhcp_options
+
+ compartment_id = each.value.compartment_id
+ vcn_id = each.value.vcn_id
+ display_name = each.key
+
+ // required
+ options {
+ type = each.value.options.type
+ server_type = each.value.options.server_type
+ }
+
+ defined_tags = each.value.defined_tags
+ freeform_tags = each.value.freeform_tags
+
+}
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_nsg.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_nsg.tf
new file mode 100644
index 0000000..46f9e39
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_nsg.tf
@@ -0,0 +1,202 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+## Network Security Group(s) - NSGs
+
+locals {
+ nsgs = { for nsg in oci_core_network_security_group.these : nsg.display_name => nsg }
+ ingress_rules = flatten([
+ for nsg, nsg_val in var.nsgs : [
+ for irule, irule_val in nsg_val.ingress_rules : {
+ nsg_name = nsg
+ nsg_id = local.nsgs[nsg].id
+ rule_name = irule
+ description = irule_val.description
+ stateless = irule_val.stateless
+ protocol = irule_val.protocol
+ src = irule_val.src
+ src_type = irule_val.src_type
+ src_port_min = irule_val.src_port_min
+ src_port_max = irule_val.src_port_max
+ dst_port_min = irule_val.dst_port_min
+ dst_port_max = irule_val.dst_port_max
+ icmp_type = irule_val.icmp_type
+ icmp_code = irule_val.icmp_code
+ } if irule_val.is_create == true
+ ]
+ ])
+ egress_rules = flatten([
+ for nsg, nsg_val in var.nsgs : [
+ for erule, erule_val in nsg_val.egress_rules : {
+ nsg_name = nsg
+ nsg_id = local.nsgs[nsg].id
+ rule_name = erule
+ description = erule_val.description
+ stateless = erule_val.stateless
+ protocol = erule_val.protocol
+ dst = erule_val.dst
+ dst_type = erule_val.dst_type
+ src_port_min = erule_val.src_port_min
+ src_port_max = erule_val.src_port_max
+ dst_port_min = erule_val.dst_port_min
+ dst_port_max = erule_val.dst_port_max
+ icmp_type = erule_val.icmp_type
+ icmp_code = erule_val.icmp_code
+ } if erule_val.is_create == true
+ ]
+ ])
+}
+
+resource "oci_core_network_security_group" "these" {
+ for_each = var.nsgs
+ compartment_id = var.compartment_id
+ vcn_id = each.value.vcn_id
+ display_name = each.key
+}
+
+data "oci_core_network_security_groups" "these" {
+ for_each = var.nsgs
+ compartment_id = var.compartment_id
+ vcn_id = each.value.vcn_id
+}
+
+locals {
+ local_nsg_ids = { for i in oci_core_network_security_group.these : i.display_name => i.id }
+ remote_nsg_ids = { for k,v in var.nsgs : k => [for i in data.oci_core_network_security_groups.these[k].network_security_groups : i.id]}
+ nsg_ids = merge(local.remote_nsg_ids, local.local_nsg_ids)
+}
+
+
+resource "oci_core_network_security_group_security_rule" "ingress" {
+ for_each = {
+ for rule in local.ingress_rules : "${rule.nsg_name}.${rule.rule_name}" => rule
+ }
+ network_security_group_id = each.value.nsg_id
+ direction = "INGRESS"
+ protocol = each.value.protocol
+
+ description = each.value.description
+ source = each.value.src_type != "NSG_NAME" ? each.value.src : local.nsg_ids[each.value.src]
+ source_type = each.value.src_type != "NSG_NAME" ? each.value.src_type : "NETWORK_SECURITY_GROUP"
+ stateless = each.value.stateless
+
+ dynamic "tcp_options" {
+ for_each = each.value.protocol == "6" ? [1] : []
+ content {
+ dynamic "destination_port_range" {
+ for_each = each.value.dst_port_min != null && each.value.dst_port_max != null ? [1] : []
+ content {
+ max = each.value.dst_port_max
+ min = each.value.dst_port_min
+ }
+ }
+ dynamic "source_port_range" {
+ for_each = each.value.src_port_min != null && each.value.src_port_max != null ? [1] : []
+ content {
+ max = each.value.src_port_max
+ min = each.value.src_port_min
+ }
+ }
+ }
+ }
+
+ dynamic "icmp_options" {
+ for_each = each.value.protocol == "1" && each.value.icmp_type != null ? [1] : []
+ content {
+ type = each.value.icmp_type
+ code = each.value.icmp_code
+ }
+ }
+
+ dynamic "udp_options" {
+ for_each = each.value.protocol == "17" ? [1] : []
+ content {
+ dynamic "destination_port_range" {
+ for_each = each.value.dst_port_min != null && each.value.dst_port_max != null ? [1] : []
+ content {
+ max = each.value.dst_port_max
+ min = each.value.dst_port_min
+ }
+ }
+ dynamic "source_port_range" {
+ for_each = each.value.src_port_min != null && each.value.src_port_max != null ? [1] : []
+ content {
+ max = each.value.src_port_max
+ min = each.value.src_port_min
+ }
+ }
+ }
+ }
+}
+
+resource "oci_core_network_security_group_security_rule" "egress" {
+ for_each = {
+ for rule in local.egress_rules : "${rule.nsg_name}.${rule.rule_name}" => rule
+ }
+ network_security_group_id = each.value.nsg_id
+ direction = "EGRESS"
+ protocol = each.value.protocol
+
+ description = each.value.description
+
+ destination = each.value.dst_type != "NSG_NAME" ? each.value.dst : local.nsg_ids[each.value.dst]
+ destination_type = each.value.dst_type != "NSG_NAME" ? each.value.dst_type : "NETWORK_SECURITY_GROUP"
+ stateless = each.value.stateless
+ dynamic "tcp_options" {
+ for_each = each.value.protocol == "6" ? [1] : []
+ content {
+ dynamic "destination_port_range" {
+ for_each = each.value.dst_port_min != null && each.value.dst_port_max != null ? [1] : []
+ content {
+ max = each.value.dst_port_max
+ min = each.value.dst_port_min
+ }
+ }
+ dynamic "source_port_range" {
+ for_each = each.value.src_port_min != null && each.value.src_port_max != null ? [1] : []
+ content {
+ max = each.value.src_port_max
+ min = each.value.src_port_min
+ }
+ }
+ }
+ }
+
+ dynamic "icmp_options" {
+ for_each = each.value.protocol == "1" && each.value.icmp_type != null ? [1] : []
+ content {
+ type = each.value.icmp_type
+ code = each.value.icmp_code
+ }
+ }
+
+ dynamic "udp_options" {
+ for_each = each.value.protocol == "17" ? [1] : []
+ content {
+ dynamic "destination_port_range" {
+ for_each = each.value.dst_port_min != null && each.value.dst_port_max != null ? [1] : []
+ content {
+ max = each.value.dst_port_max
+ min = each.value.dst_port_min
+ }
+ }
+ dynamic "source_port_range" {
+ for_each = each.value.src_port_min != null && each.value.src_port_max != null ? [1] : []
+ content {
+ max = each.value.src_port_max
+ min = each.value.src_port_min
+ }
+ }
+ }
+ }
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_security_list.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_security_list.tf
new file mode 100644
index 0000000..b4cd103
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/main_security_list.tf
@@ -0,0 +1,622 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+### Security List(s)
+# default values
+locals {
+ default_security_list_opt = {
+ display_name = "unnamed"
+ compartment_id = null
+ ingress_rules = []
+ egress_rules = []
+ }
+}
+
+# Security lists
+resource "oci_core_security_list" "these" {
+ for_each = var.security_lists
+ compartment_id = each.value.compartment_id != null ? each.value.compartment_id : var.compartment_id
+ display_name = each.key
+ vcn_id = each.value.vcn_id
+ defined_tags = each.value.defined_tags
+
+ # egress, proto: TCP - no src port, no dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol == "6" && x.src_port == null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # egress, proto: TCP - src port, no dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ } if x.protocol == "6" && x.src_port != null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # egress, proto: TCP - no src port, dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "6" && x.src_port == null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+ }
+ }
+ }
+
+ # egress, proto: TCP - src port, dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "6" && x.src_port != null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # egress, proto: UDP - no src port, no dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol == "17" && x.src_port == null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # egress, proto: UDP - src port, no dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ } if x.protocol == "17" && x.src_port != null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # egress, proto: UDP - no src port, dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "17" && x.src_port == null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+ }
+ }
+ }
+
+ # egress, proto: UDP - src port, dst port
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "17" && x.src_port != null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # egress, proto: ICMP - no type, no code
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol == "1" && x.icmp_type == null && x.icmp_code == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # egress, proto: ICMP - type, no code
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ type : x.icmp_type
+ } if x.protocol == "1" && x.icmp_type != null && x.icmp_code == null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ icmp_options {
+ type = rule.value.type
+ }
+ }
+ }
+
+ # egress, proto: ICMP - type, code
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ type : x.icmp_type
+ code : x.icmp_code
+ } if x.protocol == "1" && x.icmp_type != null && x.icmp_code != null ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+
+ icmp_options {
+ type = rule.value.type
+ code = rule.value.code
+ }
+ }
+ }
+
+ # egress, proto: other (non-TCP, UDP or ICMP)
+ dynamic "egress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.egress_rules != null ? each.value.egress_rules : local.default_security_list_opt.egress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol != "1" && x.protocol != "6" && x.protocol != "17" ]
+
+ content {
+ protocol = rule.value.proto
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # ingress, proto: TCP - no src port, no dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ } if x.protocol == "6" && x.src_port == null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # ingress, proto: TCP - src port, no dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ } if x.protocol == "6" && x.src_port != null && x.dst_port == null]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # ingress, proto: TCP - no src port, dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "6" && x.src_port == null && x.dst_port != null ? x.src != var.anywhere_cidr || x.src == var.anywhere_cidr && length(setintersection(range(x.dst_port.min,x.dst_port.max+1),var.ports_not_allowed_from_anywhere_cidr)) == 0 : false ? true : false ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+ }
+ }
+ }
+
+ # ingress, proto: TCP - src port, dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "6" && x.src_port != null && x.dst_port != null ? x.src != var.anywhere_cidr || x.src == var.anywhere_cidr && length(setintersection(range(x.dst_port.min,x.dst_port.max+1),var.ports_not_allowed_from_anywhere_cidr)) == 0 : false ? true : false]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ tcp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # ingress, proto: UDP - no src port, no dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol == "17" && x.src_port == null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # ingress, proto: UDP - src port, no dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ } if x.protocol == "17" && x.src_port != null && x.dst_port == null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # ingress, proto: UDP - no src port, dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "17" && x.src_port == null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+ }
+ }
+ }
+
+ # ingress, proto: UDP - src port, dst port
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ src_port_min : x.src_port.min
+ src_port_max : x.src_port.max
+ dst_port_min : x.dst_port.min
+ dst_port_max : x.dst_port.max
+ } if x.protocol == "17" && x.src_port != null && x.dst_port != null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ udp_options {
+ max = rule.value.dst_port_max
+ min = rule.value.dst_port_min
+
+ source_port_range {
+ max = rule.value.src_port_max
+ min = rule.value.src_port_min
+ }
+ }
+ }
+ }
+
+ # ingress, proto: ICMP - no type, no code
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ dst : x.dst
+ dst_type : x.dst_type
+ stateless : x.stateless
+ } if x.protocol == "1" && x.icmp_type == null && x.icmp_code == null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+ }
+ }
+
+ # ingress, proto: ICMP - type, no code
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ type : x.icmp_type
+ } if x.protocol == "1" && x.icmp_type != null && x.icmp_code == null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ icmp_options {
+ type = rule.value.type
+ }
+ }
+ }
+
+ # ingress, proto: ICMP - type, code
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ type : x.icmp_type
+ code : x.icmp_code
+ } if x.protocol == "1" && x.icmp_type != null && x.icmp_code != null ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+
+ icmp_options {
+ type = rule.value.type
+ code = rule.value.code
+ }
+ }
+ }
+
+ # ingress, proto: other (non-TCP, UDP or ICMP)
+ dynamic "ingress_security_rules" {
+ iterator = rule
+ for_each = [for x in each.value.ingress_rules != null ? each.value.ingress_rules : local.default_security_list_opt.ingress_rules :
+ {
+ proto : x.protocol
+ src : x.src
+ src_type : x.src_type
+ stateless : x.stateless
+ } if x.protocol != "1" && x.protocol != "6" && x.protocol != "17" ]
+
+ content {
+ protocol = rule.value.proto
+ source = rule.value.src
+ source_type = rule.value.src_type
+ stateless = rule.value.stateless
+ }
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/outputs.tf
new file mode 100644
index 0000000..632c9dd
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/outputs.tf
@@ -0,0 +1,91 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "security_lists" {
+ description = "The security list(s) created/managed."
+ value = {
+ for i in oci_core_security_list.these:
+ i.display_name => i
+ }
+}
+
+output "nsgs" {
+ description = "he Network Security Group(s) (NSGs) created/managed. Indexed by display_name"
+ value = { for nsg in oci_core_network_security_group.these : nsg.display_name => nsg }
+}
+
+# output "nsgs" {
+# description = "The Network Security Group(s) (NSGs) created/managed."
+# value = {
+# for i in oci_core_network_security_group.these:
+# i.display_name => i
+# }
+# }
+
+# output "nsg_rules" {
+# description = "The NSG rules created/managed."
+# value = flatten(
+# concat(
+# oci_core_network_security_group_security_rule.ingress_rules_other,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_src_no_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_no_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_src_no_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_no_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_icmp_type_no_code,
+# oci_core_network_security_group_security_rule.ingress_rules_icmp_type_code,
+# oci_core_network_security_group_security_rule.egress_rules_other,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_src_no_dst,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_no_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_src_no_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_no_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_icmp_type_no_code,
+# oci_core_network_security_group_security_rule.egress_rules_icmp_type_code
+# )
+# )
+# }
+
+# output "nsg_ingress_rules" {
+# description = "The ingress NSG rules created/managed."
+# value = flatten(
+# concat(
+# oci_core_network_security_group_security_rule.ingress_rules_other,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_src_no_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_no_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_tcp_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_src_no_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_no_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_udp_src_dst,
+# oci_core_network_security_group_security_rule.ingress_rules_icmp_type_no_code,
+# oci_core_network_security_group_security_rule.ingress_rules_icmp_type_code
+# )
+# )
+# }
+
+# output "nsg_egress_rules" {
+# description = "The egress NSG rules created/managed."
+# value = flatten(
+# concat(
+# oci_core_network_security_group_security_rule.egress_rules_other,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_src_no_dst,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_no_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_tcp_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_src_no_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_no_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_udp_src_dst,
+# oci_core_network_security_group_security_rule.egress_rules_icmp_type_no_code,
+# oci_core_network_security_group_security_rule.egress_rules_icmp_type_code
+# )
+# )
+# }
+
+output "dhcp_options" {
+ description = "DHCP options created."
+ value = {
+ for i in oci_core_dhcp_options.these:
+ i.display_name => i
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/variables.tf
new file mode 100644
index 0000000..5eb6232
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/security/variables.tf
@@ -0,0 +1,107 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "compartment_id" {
+ type = string
+ description = "The compartment ocid to create resources."
+}
+
+variable "anywhere_cidr" {
+ type = string
+ default = "0.0.0.0/0"
+}
+
+variable "ports_not_allowed_from_anywhere_cidr" {
+ type = list(number)
+ default = [22,3389] # By default, ssh and rdp standard ports are not allowed from anywhere cidr
+
+}
+
+variable "security_lists" {
+ type = map(object({
+ vcn_id = string,
+ compartment_id = string,
+ defined_tags = map(string),
+ ingress_rules = list(object({
+ stateless = bool,
+ protocol = string,
+ src = string,
+ src_type = string,
+ src_port = object({
+ min = number,
+ max = number
+ }),
+ dst_port = object({
+ min = number,
+ max = number
+ }),
+ icmp_type = number,
+ icmp_code = number
+ })),
+ egress_rules = list(object({
+ stateless = bool,
+ protocol = string,
+ dst = string,
+ dst_type = string,
+ src_port = object({
+ min = number,
+ max = number
+ }),
+ dst_port = object({
+ min = number,
+ max = number
+ }),
+ icmp_type = number,
+ icmp_code = number
+ }))
+ }))
+ description = "Parameters for customizing Security List(s)."
+ default = {}
+}
+
+variable "nsgs" {
+ type = map(object({
+ vcn_id = string,
+ ingress_rules = map(object({
+ is_create = bool
+ description = string
+ protocol = string,
+ stateless = bool,
+ src = string,
+ src_type = string,
+ dst_port_min = number,
+ dst_port_max = number,
+ src_port_min = number,
+ src_port_max = number,
+ icmp_type = number,
+ icmp_code = number
+ })),
+ egress_rules = map(object({
+ is_create = bool
+ description = string
+ protocol = string,
+ stateless = bool,
+ dst = string,
+ dst_type = string,
+ dst_port_min = number,
+ dst_port_max = number,
+ src_port_min = number,
+ src_port_max = number,
+ icmp_type = number,
+ icmp_code = number
+ }))
+ }))
+ description = "Parameters for customizing Network Security Group(s)."
+ default = {}
+}
+
+variable "dhcp_options" {
+ type = map(object({
+ vcn_id = string,
+ compartment_id = string,
+ options = map(string),
+ defined_tags = map(string),
+ freeform_tags = map(string)
+ }))
+ default = {}
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/main.tf
new file mode 100644
index 0000000..2978ae6
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/main.tf
@@ -0,0 +1,104 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+locals {
+ osn_cidrs = {for x in data.oci_core_services.all_services.services : x.cidr_block => x.id}
+
+ subnets = flatten([
+ for k, v in var.vcns : [
+ for k1, v1 in v.subnets : {
+ vcn_name = k
+ display_name = k1
+ vcn_id = v1.vcn_id
+ cidr = v1.cidr
+ compartment_id = v1.compartment_id != null ? v1.compartment_id : var.compartment_id
+ availability_domain = v1.availability_domain
+ private = v1.private
+ dns_label = v1.dns_label
+ dhcp_options_id = v1.dhcp_options_id
+ security_list_ids = v1.security_list_ids
+ defined_tags = v1.defined_tags
+ freeform_tags = v1.freeform_tags
+ }
+ ]
+ ])
+}
+
+data "oci_core_services" "all_services" {
+}
+
+### VCN
+resource "oci_core_vcn" "these" {
+ for_each = {for k, v in var.vcns: k => v if k != ""}
+ display_name = each.key
+ dns_label = each.value.dns_label
+ cidr_block = each.value.cidr
+ compartment_id = each.value.compartment_id
+ defined_tags = each.value.defined_tags
+ freeform_tags = each.value.freeform_tags
+}
+
+### Internet Gateway
+resource "oci_core_internet_gateway" "these" {
+ for_each = {for k, v in var.vcns: k => v if v.is_create_igw == true}
+ compartment_id = each.value.compartment_id
+ vcn_id = oci_core_vcn.these[each.key].id
+ display_name = "${each.key}-igw"
+ defined_tags = oci_core_vcn.these[each.key].defined_tags
+ freeform_tags = oci_core_vcn.these[each.key].freeform_tags
+}
+
+### NAT Gateway
+resource "oci_core_nat_gateway" "these" {
+ for_each = {for k, v in var.vcns: k => v if v.is_create_igw == true}
+ compartment_id = each.value.compartment_id
+ display_name = "${each.key}-natgw"
+ vcn_id = oci_core_vcn.these[each.key].id
+ block_traffic = each.value.block_nat_traffic
+}
+
+### Service Gateway
+resource "oci_core_service_gateway" "these" {
+ for_each = {for k,v in var.vcns: k => v if k != ""}
+ compartment_id = each.value.compartment_id
+ display_name = "${each.key}-sgw"
+ vcn_id = oci_core_vcn.these[each.key].id
+ services {
+ service_id = local.osn_cidrs[var.service_gateway_cidr]
+ }
+}
+
+### DRG attachment to VCN
+resource "oci_core_drg_attachment" "these" {
+ for_each = {for k, v in var.vcns: k => v if v.is_attach_drg == true}
+ drg_id = var.drg_id
+ vcn_id = oci_core_vcn.these[each.key].id
+ display_name = "${each.key}-drg-attachment"
+}
+
+### Subnets
+resource "oci_core_subnet" "these" {
+
+ for_each = {for subnet in local.subnets : subnet.display_name => subnet if subnet.cidr != ""}
+ display_name = each.value.display_name
+ vcn_id = each.value.vcn_name != "" ? oci_core_vcn.these[each.value.vcn_name].id : each.value.vcn_id
+ availability_domain = each.value.availability_domain
+ cidr_block = each.value.cidr
+ compartment_id = each.value.compartment_id
+ prohibit_public_ip_on_vnic = each.value.private
+ dns_label = each.value.dns_label
+ dhcp_options_id = each.value.dhcp_options_id
+ security_list_ids = each.value.security_list_ids
+ defined_tags = each.value.defined_tags
+ freeform_tags = each.value.freeform_tags
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/outputs.tf
new file mode 100644
index 0000000..d9c5d80
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/outputs.tf
@@ -0,0 +1,42 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "vcns" {
+ description = "The VCNs, indexed by display_name."
+ value = {for v in oci_core_vcn.these : v.display_name => {id = v.id, cidr_block = v.cidr_block, dns_label = v.dns_label, default_security_list_id = v.default_security_list_id}}
+}
+output "subnets" {
+ description = "The subnets, indexed by display_name."
+ value = {for s in oci_core_subnet.these : s.display_name => s}
+}
+
+output "internet_gateways" {
+ description = "The Internet gateways, indexed by display_name."
+ value = {for g in oci_core_internet_gateway.these : g.vcn_id => g}
+}
+output "nat_gateways" {
+ description = "The NAT gateways, indexed by display_name."
+ value = {for g in oci_core_nat_gateway.these : g.vcn_id => g}
+}
+output "service_gateways" {
+ description = "The Service gateways, indexed by display_name."
+ value = {for g in oci_core_service_gateway.these : g.vcn_id => g}
+}
+output "all_services" {
+ description = "All services"
+ value = data.oci_core_services.all_services
+}
+
+output "subnets_ids" {
+ value = {
+ for subnet in oci_core_subnet.these :
+ subnet.display_name => subnet.id
+ }
+}
+
+output "vcnss" {
+ value = {
+ for vcn in oci_core_vcn.these :
+ vcn.display_name => tomap({"id" = vcn.id, "cidr" = vcn.cidr_block})
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/variables.tf
new file mode 100644
index 0000000..f480daf
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-basic/variables.tf
@@ -0,0 +1,47 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "compartment_id" {
+ description = "Compartment's OCID where VCN will be created."
+}
+
+variable "service_label" {
+ description = "A service label to be used as part of resource names."
+}
+
+variable "service_gateway_cidr" {
+ description = "The OSN service cidr accessible through Service Gateway"
+ type = string
+}
+
+variable "drg_id" {
+ description = "DRG to be attached"
+ default = null
+ type = string
+}
+
+variable "vcns" {
+ description = "The VCNs."
+ type = map(object({
+ compartment_id = string,
+ cidr = string,
+ dns_label = string,
+ is_create_igw = bool,
+ is_attach_drg = bool,
+ block_nat_traffic = bool,
+ subnets = map(object({
+ compartment_id = string,
+ vcn_id = string,
+ availability_domain = string,
+ cidr = string,
+ dns_label = string,
+ private = bool,
+ dhcp_options_id = string,
+ security_list_ids = list(string),
+ defined_tags = map(string),
+ freeform_tags = map(string)
+ })),
+ defined_tags = map(string),
+ freeform_tags = map(string)
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/main.tf
new file mode 100644
index 0000000..e49810c
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/main.tf
@@ -0,0 +1,43 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+### Route tables
+resource "oci_core_route_table" "these" {
+ for_each = {for k, v in var.subnets_route_tables : k => v if k != ""}
+ display_name = each.key
+ vcn_id = each.value.vcn_id
+ compartment_id = var.compartment_id
+ dynamic "route_rules" {
+ iterator = rule
+ for_each = [for r in each.value.route_rules : {
+ dst : r.destination
+ dst_type : r.destination_type
+ ntwk_entity_id : r.network_entity_id
+ description : r.description
+ } if r.is_create == true]
+
+ content {
+ destination = rule.value.dst
+ destination_type = rule.value.dst_type
+ network_entity_id = rule.value.ntwk_entity_id
+ description = rule.value.description
+ }
+ }
+}
+
+### Route Table Attachments
+resource "oci_core_route_table_attachment" "these" {
+ for_each = var.subnets_route_tables
+ subnet_id = each.value.subnet_id
+ route_table_id = each.key != "" ? oci_core_route_table.these[each.key].id : each.value.route_table_id
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/outputs.tf
new file mode 100644
index 0000000..c785859
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/outputs.tf
@@ -0,0 +1,10 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "subnets_route_tables" {
+ description = "The managed subnets_route tables, indexed by display_name."
+ value = {
+ for rt in oci_core_route_table.these :
+ rt.display_name => rt
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/variables.tf
new file mode 100644
index 0000000..9047db5
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/network/vcn-routing/variables.tf
@@ -0,0 +1,25 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "compartment_id" {
+ description = "Compartment OCID."
+ type = string
+}
+
+variable "subnets_route_tables" {
+ description = "Subnet Route Tables"
+ type = map(object({
+ compartment_id = string,
+ vcn_id = string,
+ subnet_id = string,
+ route_table_id = string,
+ route_rules = list(object({
+ is_create = bool
+ destination = string
+ destination_type = string
+ network_entity_id = string
+ description = string
+ }))
+ defined_tags = map(string)
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/main.tf
new file mode 100644
index 0000000..9fc33c1
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/main.tf
@@ -0,0 +1,47 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+resource "oci_bastion_bastion" "these" {
+ for_each = var.bastions
+ bastion_type = "STANDARD"
+ compartment_id = each.value.compartment_id
+ target_subnet_id = each.value.target_subnet_id
+ name = each.value.name
+ client_cidr_block_allow_list = each.value.client_cidr_block_allow_list
+ max_session_ttl_in_seconds = each.value.max_session_ttl_in_seconds
+}
+
+resource "oci_bastion_session" "these" {
+
+ for_each = var.sessions
+
+ bastion_id = each.value.bastion_id
+
+ key_details {
+ public_key_content = each.value.ssh_public_key
+ }
+
+ target_resource_details {
+
+ session_type = each.value.session_type
+ target_resource_id = each.value.private_instance_id
+
+ target_resource_operating_system_user_name = each.value.user_name
+ target_resource_port = each.value.port
+ target_resource_private_ip_address = each.value.private_ip_address
+ }
+
+ session_ttl_in_seconds = 3600
+
+ display_name = each.value.display_name
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/outputs.tf
new file mode 100644
index 0000000..e7e869c
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/outputs.tf
@@ -0,0 +1,11 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "bastions_details" {
+ value = {for g in oci_bastion_bastion.these : g.name => g}
+}
+
+output "sessions_details" {
+ value = {for g in oci_bastion_session.these : g.display_name => g}
+}
+
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/variables.tf
new file mode 100644
index 0000000..f6e46a3
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/bastion/variables.tf
@@ -0,0 +1,27 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "bastions" {
+ description = "Details of the Bastion resources to be created."
+ type = map(object({
+ name = string,
+ compartment_id = string,
+ target_subnet_id = string,
+ client_cidr_block_allow_list = list(string),
+ max_session_ttl_in_seconds = number
+ }))
+}
+
+variable "sessions" {
+ description = "Details of sessions to be created."
+ type = map(object({
+ session_type = string,
+ bastion_id = string,
+ ssh_public_key = string,
+ private_instance_id = string,
+ private_ip_address = string,
+ user_name = string,
+ port = string,
+ display_name = string
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/init.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/init.tf
new file mode 100644
index 0000000..2af167c
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/init.tf
@@ -0,0 +1,11 @@
+# # Copyright © 2022, Oracle and/or its affiliates.
+# # All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+# terraform {
+# required_version = ">= 0.14.0"
+# required_providers {
+# oci = {
+# source = "oracle/oci"
+# }
+# }
+# }
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/main.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/main.tf
new file mode 100644
index 0000000..3e6c2f0
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/main.tf
@@ -0,0 +1,20 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+resource "oci_identity_policy" "these" {
+ for_each = var.policies
+ name = each.key
+ compartment_id = each.value.compartment_id
+ description = each.value.description
+ statements = each.value.statements
+}
+
+terraform {
+ required_providers {
+ oci = {
+ source = "oracle/oci"
+ version = ">= 5.30.0"
+ }
+ }
+ required_version = ">= 1.5.5"
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/variables.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/variables.tf
new file mode 100644
index 0000000..a0942e0
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/oci-cis-landingzone-quickstart/security/policies/variables.tf
@@ -0,0 +1,10 @@
+# Copyright © 2022, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+variable "policies" {
+ type = map(object({
+ compartment_id = string
+ description = string,
+ statements = list(string)
+ }))
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-admin-user.sql.tftpl b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-admin-user.sql.tftpl
new file mode 100644
index 0000000..a5ff25e
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-admin-user.sql.tftpl
@@ -0,0 +1,121 @@
+-------------------------------------------------------------------------
+-- 1) run as an admin user to grant privileges
+------------------------------------------------------------------------
+
+ -- user sql
+ create user cohub identified by AaBbCcDdEe123#;
+
+ -- add roles
+ grant connect to cohub;
+ grant console_developer to cohub;
+ grant dwrole to cohub;
+ grant graph_developer to cohub;
+ grant oml_developer to cohub;
+ grant resource to cohub;
+ alter user cohub default role console_developer,dwrole,graph_developer,oml_developer;
+
+ -- enable graph
+ alter user cohub grant connect through graph$proxy_user;
+
+ -- enable oml
+ alter user cohub grant connect through oml$proxy;
+
+ -- quota
+ alter user cohub quota unlimited on data;
+
+ -- add roles
+ grant db_developer_role to cohub;
+ grant odi_developer to cohub;
+ alter user cohub default role console_developer,dwrole,graph_developer,oml_developer;
+
+ -- rest enable
+begin
+ ords_admin.enable_schema(
+ p_enabled => true,
+ p_schema => 'COHUB',
+ p_url_mapping_type => 'BASE_PATH',
+ p_url_mapping_pattern => 'cohub',
+ p_auto_rest_auth => true
+ );
+
+ c##adp$service.dbms_share.enable_schema(
+ schema_name => 'COHUB',
+ enabled => true
+ );
+
+ commit;
+end;
+/
+
+
+ -- grant privileges to dbms_cloud_ai, dbms_cloud, dbms_cloud_admin
+ grant execute on dbms_cloud_ai to cohub;
+ grant execute on dbms_cloud to cohub;
+ grant execute on dbms_cloud_admin to cohub;
+
+ -- grant privileges to work with db links
+ grant create database link to cohub;
+ grant drop public database link to cohub;
+ grant create any directory to cohub;
+
+ -- grant privileges Select AI agent
+ grant execute on dbms_cloud_ai_agent to cohub;
+
+ -- grant privileges to work with vectors
+ grant create any index to cohub;
+ grant execute on dbms_vector to cohub;
+
+ -- grant privileges to work with Select AI RAG
+ grant execute on dbms_cloud_pipeline to cohub;
+
+ -- -- set up network ACL to access Databricks - TBD
+ -- begin
+ -- dbms_network_acl_admin.append_host_ace(
+ -- host => 'adb-22429077407326663.3.azuredatabricks.net',
+ -- lower_port => 443,
+ -- upper_port => 443,
+ -- ace => xs$ace_type(
+ -- privilege_list => xs$name_list('http', 'http_proxy'),
+ -- principal_name => 'user@website.com',
+ -- principal_type => xs_acl.ptype_db
+ -- )
+ -- );
+ -- end;
+ -- /
+
+ -- use this to find out the instance OUTBOUND_IP_ADDRESS to be used in security lists
+ -- select json_value(cloud_identity, '$.OUTBOUND_IP_ADDRESS[0]')
+ -- from v$pdbs
+ -- where name = SYS_CONTEXT('USERENV','CON_NAME');
+
+ -- set up network ACL to access the flask app REST APIs via the OCI API Gateway
+
+ begin
+ dbms_network_acl_admin.append_host_ace(
+ host => '${api_gateway_hostname}',
+ lower_port => 443,
+ upper_port => 443,
+ ace => xs$ace_type(
+ privilege_list => xs$name_list('http', 'http_proxy'),
+ principal_name => 'cohub',
+ principal_type => xs_acl.ptype_db
+ )
+ );
+ commit;
+ end;
+ /
+
+ begin
+ dbms_network_acl_admin.append_host_ace(
+ host => '${api_gateway_hostname}',
+ ace => xs$ace_type(
+ privilege_list => xs$name_list('http', 'http_proxy'),
+ principal_name => 'COHUB',
+ principal_type => xs_acl.ptype_db
+ )
+ );
+ end;
+ /
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-cohub-user.sql.tftpl b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-cohub-user.sql.tftpl
new file mode 100755
index 0000000..e684577
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw-co-hub-v0.01-cohub-user.sql.tftpl
@@ -0,0 +1,2006 @@
+set define off;
+set serveroutput on;
+
+-------------------------------------------------------------------------
+-- 2) run as an OCHUB user to create credentials
+-------------------------------------------------------------------------
+
+ begin
+ dbms_cloud.create_credential (
+ credential_name => 'OCI',
+ user_ocid => '${oci_user_ocid}',
+ tenancy_ocid => '${oci_tenancy_ocid}',
+ private_key => q'~${oci_private_key_sql}~',
+ fingerprint => '${oci_fingerprint}');
+ end;
+/
+
+-------------------------------------------------------------------------
+-- 2a) local Oracle app users for login fallback
+-------------------------------------------------------------------------
+
+begin
+ execute immediate q'[
+ create table app_users (
+ user_id number generated always as identity primary key,
+ email varchar2(255) not null,
+ full_name varchar2(255) not null,
+ password varchar2(255),
+ customer_id number,
+ is_active varchar2(1) default 'Y' not null,
+ created_at timestamp default current_timestamp,
+ updated_at timestamp default current_timestamp
+ )
+ ]';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create unique index app_users_email_uq on app_users(lower(email))';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+merge into app_users t
+using (
+ select
+ 'demo' as email,
+ 'Demo User' as full_name,
+ 'demo' as password,
+ 1 as customer_id,
+ 'Y' as is_active
+ from dual
+) s
+on (lower(t.email) = lower(s.email))
+when matched then update set
+ t.full_name = s.full_name,
+ t.password = s.password,
+ t.customer_id = s.customer_id,
+ t.is_active = s.is_active,
+ t.updated_at = current_timestamp
+when not matched then insert (
+ email, full_name, password, customer_id, is_active
+) values (
+ s.email, s.full_name, s.password, s.customer_id, s.is_active
+);
+/
+
+comment on table app_users is 'Local application users used as fallback authentication source when MongoDB is unavailable or user not found.';
+comment on column app_users.email is 'Login email address.';
+comment on column app_users.full_name is 'Display name shown in the application.';
+comment on column app_users.password is 'Plaintext demo password for fallback login.';
+comment on column app_users.customer_id is 'Application customer id used in session context.';
+comment on column app_users.is_active is 'Y if user is allowed to login.';
+
+
+-------------------------------------------------------------------------
+-- 2b) Oracle fallback customer profile store
+-------------------------------------------------------------------------
+
+begin
+ execute immediate q'[
+ create table customer_profile_oracle (
+ customer_id number primary key,
+ email varchar2(255) not null,
+ full_name varchar2(255),
+ profile_json clob check (profile_json is json),
+ created_at timestamp default current_timestamp,
+ updated_at timestamp default current_timestamp
+ )
+ ]';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create unique index customer_profile_oracle_email_uq on customer_profile_oracle(lower(email))';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+-------------------------------------------------------------------------
+-- 2c) Oracle fallback shopping cart store
+-------------------------------------------------------------------------
+
+begin
+ execute immediate q'[
+ create table shopping_cart_oracle (
+ cart_id varchar2(50) primary key,
+ customer_id varchar2(100) not null,
+ session_id varchar2(100),
+ status varchar2(20) default 'active' not null,
+ created_at timestamp default current_timestamp,
+ updated_at timestamp default current_timestamp,
+ expires_at timestamp,
+ subtotal number(10,2) default 0,
+ discount_total number(10,2) default 0,
+ tax_rate number(5,4) default 0.08,
+ tax number(10,2) default 0,
+ shipping number(10,2) default 0,
+ total number(10,2) default 0,
+ currency varchar2(10) default 'USD'
+ )
+ ]';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate q'[
+ create table shopping_cart_items_oracle (
+ item_id number generated by default as identity primary key,
+ cart_id varchar2(50) not null,
+ product_id varchar2(50) not null,
+ sku varchar2(100),
+ title varchar2(255),
+ category varchar2(100),
+ color varchar2(100),
+ size_value varchar2(50),
+ brand varchar2(100),
+ price number(10,2) default 0,
+ quantity number(10) default 1,
+ discount_percentage number(5,2) default 0,
+ discounted_price number(10,2) default 0,
+ total number(10,2) default 0,
+ image_url varchar2(1000),
+ in_stock varchar2(10) default 'true',
+ added_at timestamp default current_timestamp,
+ constraint fk_cart_items_cart
+ foreign key (cart_id) references shopping_cart_oracle(cart_id)
+ on delete cascade
+ )
+ ]';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create unique index uk_cart_product on shopping_cart_items_oracle (cart_id, product_id)';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create index idx_cart_customer on shopping_cart_oracle (customer_id, status)';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create index idx_cart_items_cart on shopping_cart_items_oracle (cart_id)';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+comment on table shopping_cart_oracle is 'Oracle fallback shopping cart header store used when MongoDB is unavailable.';
+comment on column shopping_cart_oracle.cart_id is 'Unique cart identifier.';
+comment on column shopping_cart_oracle.customer_id is 'Application customer identifier.';
+comment on column shopping_cart_oracle.session_id is 'Web session identifier.';
+comment on column shopping_cart_oracle.status is 'Cart status, typically active.';
+comment on column shopping_cart_oracle.created_at is 'Cart creation timestamp.';
+comment on column shopping_cart_oracle.updated_at is 'Cart last update timestamp.';
+comment on column shopping_cart_oracle.expires_at is 'Optional cart expiration timestamp.';
+comment on column shopping_cart_oracle.subtotal is 'Cart subtotal before tax and shipping.';
+comment on column shopping_cart_oracle.discount_total is 'Total discount amount applied to the cart.';
+comment on column shopping_cart_oracle.tax_rate is 'Tax rate applied to the cart.';
+comment on column shopping_cart_oracle.tax is 'Tax amount applied to the cart.';
+comment on column shopping_cart_oracle.shipping is 'Shipping amount applied to the cart.';
+comment on column shopping_cart_oracle.total is 'Final cart total.';
+comment on column shopping_cart_oracle.currency is 'Currency code for monetary values.';
+
+comment on table shopping_cart_items_oracle is 'Oracle fallback shopping cart line items used when MongoDB is unavailable.';
+comment on column shopping_cart_items_oracle.item_id is 'Unique line item identifier.';
+comment on column shopping_cart_items_oracle.cart_id is 'Cart identifier referencing shopping_cart_oracle.';
+comment on column shopping_cart_items_oracle.product_id is 'Product identifier.';
+comment on column shopping_cart_items_oracle.sku is 'Product SKU.';
+comment on column shopping_cart_items_oracle.title is 'Product display title.';
+comment on column shopping_cart_items_oracle.category is 'Product category.';
+comment on column shopping_cart_items_oracle.color is 'Product color.';
+comment on column shopping_cart_items_oracle.size_value is 'Selected product size.';
+comment on column shopping_cart_items_oracle.brand is 'Product brand.';
+comment on column shopping_cart_items_oracle.price is 'Base unit price.';
+comment on column shopping_cart_items_oracle.quantity is 'Quantity in cart.';
+comment on column shopping_cart_items_oracle.discount_percentage is 'Discount percentage applied to the item.';
+comment on column shopping_cart_items_oracle.discounted_price is 'Discounted unit price.';
+comment on column shopping_cart_items_oracle.total is 'Line total amount.';
+comment on column shopping_cart_items_oracle.image_url is 'Product image URL.';
+comment on column shopping_cart_items_oracle.in_stock is 'Stock availability flag.';
+comment on column shopping_cart_items_oracle.added_at is 'Timestamp when item was added to the cart.';
+
+-------------------------------------------------------------------------
+-- 2d) Chat history store
+-------------------------------------------------------------------------
+
+begin
+ execute immediate q'[
+ create table chat_history (
+ chat_id number generated always as identity primary key,
+ customer_id varchar2(100),
+ session_id varchar2(200),
+ message clob,
+ response clob,
+ chat_timestamp timestamp default current_timestamp,
+ created_at timestamp default current_timestamp
+ )
+ ]';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+begin
+ execute immediate 'create index idx_chat_history_customer on chat_history (customer_id, chat_timestamp)';
+exception
+ when others then
+ if sqlcode != -955 then
+ raise;
+ end if;
+end;
+/
+
+comment on table chat_history is 'Stores conversation history between customer and assistant.';
+comment on column chat_history.customer_id is 'Application customer id associated with the chat.';
+comment on column chat_history.session_id is 'Browser/application session id.';
+comment on column chat_history.message is 'User message sent to the assistant.';
+comment on column chat_history.response is 'Assistant response returned to the user.';
+comment on column chat_history.chat_timestamp is 'Timestamp of the chat interaction.';
+
+
+-------------------------------------------------------------------------
+-- 3) setup and connect to the mongodb instance that holds customer profiles
+-------------------------------------------------------------------------
+
+%{ if mongo_mode == "atlas" ~}
+begin
+ begin
+ dbms_cloud.drop_credential(credential_name => 'mongodb_atlas_cluster_co');
+ exception
+ when others then null;
+ end;
+end;
+/
+
+begin
+ dbms_cloud.create_credential(
+ credential_name => 'mongodb_atlas_cluster_co',
+ username => '${mongodb_username}',
+ password => '${mongodb_password}'
+ );
+end;
+/
+
+begin
+ begin
+ dbms_cloud_admin.drop_database_link(
+ db_link_name => 'mongodb_atlas_link_co'
+ );
+ exception
+ when others then null;
+ end;
+end;
+/
+
+begin
+ dbms_cloud_admin.create_database_link(
+ db_link_name => 'mongodb_atlas_link_co',
+ hostname => '${mongodb_hostname}',
+ port => '27017',
+ service_name => '${mongodb_db_name}',
+ credential_name => 'mongodb_atlas_cluster_co',
+ gateway_params => json_object('db_type' value 'mongodb'),
+ ssl_server_cert_dn => null,
+ private_target => false
+ );
+end;
+/
+
+begin
+ execute immediate 'drop materialized view cohub.customer_profile_mv';
+exception
+ when others then null;
+end;
+/
+
+create materialized view cohub.customer_profile_mv
+ refresh complete
+ start with sysdate
+ next sysdate + 1/4
+as
+select * from customer_profile@mongodb_atlas_link_co;
+
+%{ else ~}
+prompt MongoDB deployment disabled - skipping MongoDB credential, DB link and materialized view.
+%{ endif ~}
+
+
+-------------------------------------------------------------------------
+-- 4) Add metadata to the MongoDB customer profile materialized view
+-------------------------------------------------------------------------
+
+%{ if mongo_mode == "atlas" ~}
+comment on materialized view cohub.customer_profile_mv is
+'materialized view providing a consolidated customer profile including personal info, account info, purchase history, clothing preferences, shipping addresses, and marketing preferences.';
+
+COMMENT ON COLUMN COHUB.CUSTOMER_PROFILE_MV."_ID" IS 'unique identifier for each customer profile record (varchar2(24))';
+comment on column cohub.customer_profile_mv.customerid is 'numeric customer identifier (number(10)).';
+comment on column cohub.customer_profile_mv.personalinfo_fullname is 'full name of the customer (varchar2(31)).';
+comment on column cohub.customer_profile_mv.personalinfo_email is 'email address of the customer (varchar2(49)).';
+comment on column cohub.customer_profile_mv.personalinfo_phonenumber is 'phone number of the customer (varchar2(22)).';
+comment on column cohub.customer_profile_mv.personalinfo_dateofbirth is 'date of birth of the customer in string format (varchar2(15)).';
+comment on column cohub.customer_profile_mv.personalinfo_gender is 'gender of the customer (varchar2(15)).';
+comment on column cohub.customer_profile_mv.accountinfo_accountcreated is 'date when the customer account was created (varchar2(30)).';
+comment on column cohub.customer_profile_mv.accountinfo_loyaltytier is 'loyalty program tier of the customer (varchar2(9)).';
+comment on column cohub.customer_profile_mv.accountinfo_loyaltypoints is 'accumulated loyalty points of the customer (number(10)).';
+comment on column cohub.customer_profile_mv.accountinfo_emailverified is 'flag indicating if customer email is verified, e.g. yes/no (varchar2(6)).';
+comment on column cohub.customer_profile_mv.accountinfo_smsoptin is 'flag indicating if the customer opted in for sms communication (varchar2(7)).';
+comment on column cohub.customer_profile_mv.purchasehistory_totalorders is 'total number of orders placed by the customer (number(10)).';
+comment on column cohub.customer_profile_mv.purchasehistory_lifetimevalue is 'total monetary value of all purchases (float(126)).';
+comment on column cohub.customer_profile_mv.purchasehistory_averageordervalue is 'average value per order placed by the customer (float(126)).';
+comment on column cohub.customer_profile_mv.purchasehistory_lastorderdate is 'date of the most recent order in string format (varchar2(15)).';
+comment on column cohub.customer_profile_mv.purchasehistory_preferredstores is 'preferred stores of the customer (varchar2(31)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_preferredstyle is 'preferred clothing style of the customer (varchar2(22)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_preferredsize_tops is 'preferred size for tops (varchar2(4)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_preferredsize_bottoms is 'preferred size for bottoms (varchar2(4)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_preferredsize_shoes is 'preferred shoe size (number(10)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritecolors_1 is 'first favorite color in clothing preferences (varchar2(7)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritecolors_2 is 'second favorite color in clothing preferences (varchar2(7)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritecolors_3 is 'third favorite color in clothing preferences (varchar2(7)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritecolors_4 is 'fourth favorite color in clothing preferences (varchar2(7)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritebrands_1 is 'first favorite brand in clothing preferences (varchar2(18)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritebrands_2 is 'second favorite brand in clothing preferences (varchar2(18)).';
+comment on column cohub.customer_profile_mv.clothingpreferences_favoritebrands_3 is 'third favorite brand in clothing preferences (varchar2(18)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_addressid is 'identifier for the first shipping address record (number(10)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_label is 'label describing the first shipping address, e.g. home or work (varchar2(6)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_street is 'street address of the first shipping address (varchar2(24)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_city is 'city of the first shipping address (varchar2(16)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_state is 'state or province code of the first shipping address (varchar2(3)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_zipcode is 'zip or postal code of the first shipping address (varchar2(7)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_country is 'country code of the first shipping address (varchar2(4)).';
+comment on column cohub.customer_profile_mv.shippingaddresses_1_isdefault is 'flag indicating if this is the default shipping address (varchar2(6)).';
+comment on column cohub.customer_profile_mv.marketingpreferences_newslettersubscribed is 'flag indicating if the customer is subscribed to the newsletter (varchar2(6)).';
+comment on column cohub.customer_profile_mv.marketingpreferences_promotionalemails is 'flag indicating if the customer accepts promotional emails (varchar2(7)).';
+comment on column cohub.customer_profile_mv.marketingpreferences_categories_1 is 'first preferred marketing category (varchar2(30)).';
+comment on column cohub.customer_profile_mv.marketingpreferences_categories_2 is 'second preferred marketing category (varchar2(30)).';
+comment on column cohub.customer_profile_mv.marketingpreferences_categories_3 is 'third preferred marketing category (varchar2(30)).';
+%{ else ~}
+prompt MongoDB deployment disabled - skipping metadata on customer_profile_mv.
+%{ endif ~}
+
+
+-------------------------------------------------------------------------
+-- 5) setup and connect via db link to the atp instance that holds
+-- customer orders data
+-------------------------------------------------------------------------
+
+-- create directory atp_dblink_wallet_dir as 'adb_wallets';
+-- directory existent în DB
+BEGIN
+ EXECUTE IMMEDIATE 'CREATE OR REPLACE DIRECTORY atp_dblink_wallet_dir AS ''DATA_PUMP_DIR''';
+END;
+/
+
+
+
+ begin
+ dbms_cloud.get_object(
+ credential_name => 'oci',
+ object_uri => 'https://objectstorage.${objectstorage_region}.oraclecloud.com/n/${objectstorage_namespace}/b/${atp_creds_bucket_name}/o/cwallet.sso',
+ directory_name => 'atp_dblink_wallet_dir');
+ end;
+/
+
+
+ begin
+ dbms_cloud.create_credential(
+ credential_name => 'atp_co',
+ username => 'CO',
+ password => 'AaBbCcDdEe123#' ); --- password of the atp db.
+ end;
+ /
+
+ -- use openssl to get certificates information to fill in ssl_server_cert_dn
+ -- openssl s_client -connect adb.uk-london-1.oraclecloud.com:1522 -showcerts
+
+ begin
+ dbms_cloud_admin.create_database_link(
+ db_link_name => 'atp_co_link',
+ hostname => '${atp_hostname}',
+ port => '${atp_port}',
+ service_name => '${atp_service_name}',
+ ssl_server_cert_dn => '${atp_ssl_server_cert_dn}',
+ credential_name => 'atp_co',
+ directory_name => 'atp_dblink_wallet_dir');
+ end;
+/
+
+ -- create views for all tables to have metadata defined for them
+ create view customers_v
+ as select * from customers@atp_co_link;
+
+ create view stores_v
+ as select store_id, store_name, web_address, physical_address, latitude, longitude
+ from stores@atp_co_link;
+
+ create view orders_v
+ as select * from orders@atp_co_link;
+
+ create view order_items_v
+ as select * from order_items@atp_co_link;
+
+ create view shipments_v
+ as select * from shipments@atp_co_link;
+
+ create view inventory_v
+ as select * from inventory@atp_co_link;
+
+ -- fails because of the product details blob column
+ -- drop view products_v;
+ create view products_v as
+ select
+ p.product_id,
+ p.product_name,
+ p.unit_price--,
+ --p.product_details.colour as colour,
+ --p.product_details.gender as gender,
+ --p.product_details.brand as brand,
+ --p.product_details."description" as product_description,
+ --json(p.product_details.sizes) as sizes,
+ --json(p.product_details.reviews) as reviews
+ from products@atp_co_link p;
+
+-------------------------------------------------------------------------
+-- 6) Add metadata to the views on top of ATP tables
+-------------------------------------------------------------------------
+
+ -- table comments
+ comment on table customers_v is 'stores customer information including identification, email address, and full name';
+ comment on table stores_v is 'stores information about retail stores including physical locations, web addresses, and store logos';
+ comment on table products_v is 'contains product catalog information including names, prices, product details, and product images';
+ comment on table orders_v is 'records customer orders with order datetime, status, and associated customer and store information';
+ comment on table order_items_v is 'stores line item details for each order including products, quantities, unit prices, and shipment tracking';
+ comment on table shipments_v is 'tracks shipment information including delivery addresses, shipment status, and associated store and customer';
+ comment on table inventory_v is 'maintains inventory levels for products at each store location';
+
+
+ -- customers_v column comments
+ comment on column customers_v.customer_id is 'primary key - unique identifier for each customer (auto-generated integer)';
+ comment on column customers_v.email_address is 'customer email address used for communication (required, unique)';
+ comment on column customers_v.full_name is 'full name of the customer (required)';
+
+ -- stores_v column comments
+ comment on column stores_v.store_id is 'primary key - unique identifier for each store (auto-generated integer)';
+ comment on column stores_v.store_name is 'name of the store (required, unique)';
+ comment on column stores_v.web_address is 'website url for the store (optional)';
+ comment on column stores_v.physical_address is 'physical street address of the store (optional)';
+ comment on column stores_v.latitude is 'latitude coordinate for store location (optional)';
+ comment on column stores_v.longitude is 'longitude coordinate for store location (optional)';
+
+ -- products_v column comments
+ comment on column products_v.product_id is 'primary key - unique identifier for each product (auto-generated integer)';
+ comment on column products_v.product_name is 'name of the product (required)';
+ comment on column products_v.unit_price is 'standard unit price of the product with 2 decimal precision (optional)';
+
+ -- orders_v column comments
+ comment on column orders_v.order_id is 'primary key - unique identifier for each order (auto-generated integer)';
+ comment on column orders_v.order_tms is 'date and time when the order was placed (required)';
+ comment on column orders_v.customer_id is 'foreign key reference to customers table - identifies the customer who placed the order (required)';
+ comment on column orders_v.order_status is 'current status of the order (required, maximum 10 characters); status are COMPLETE, CANCELLED, IN PROGRESS';
+ comment on column orders_v.store_id is 'foreign key reference to stores table - identifies the store where order was placed (required)';
+
+ -- order_items_v column comments
+ comment on column order_items_v.order_id is 'part of composite primary key - foreign key reference to orders table (required)';
+ comment on column order_items_v.line_item_id is 'part of composite primary key - line item number within the order (required)';
+ comment on column order_items_v.product_id is 'foreign key reference to products table - identifies the product ordered (required)';
+ comment on column order_items_v.unit_price is 'unit price of the product at time of purchase with 2 decimal precision (required)';
+ comment on column order_items_v.quantity is 'quantity of the product ordered (required)';
+ comment on column order_items_v.shipment_id is 'foreign key reference to shipments table - tracks the shipment for this line item (optional)';
+
+ -- shipments_v column comments
+ comment on column shipments_v.shipment_id is 'primary key - unique identifier for each shipment (auto-generated integer)';
+ comment on column shipments_v.store_id is 'foreign key reference to stores table - identifies the store fulfilling the shipment (required)';
+ comment on column shipments_v.customer_id is 'foreign key reference to customers table - identifies the customer receiving the shipment (required)';
+ comment on column shipments_v.delivery_address is 'delivery address for the shipment (required)';
+ comment on column shipments_v.shipment_status is 'current status of the shipment (required, maximum 100 characters)';
+
+ -- shipments_v column comments
+ comment on column inventory_v.inventory_id is 'primary key - unique identifier for each inventory record (auto-generated integer)';
+ comment on column inventory_v.store_id is 'foreign key reference to stores table - identifies the store location (required)';
+ comment on column inventory_v.product_id is 'foreign key reference to products table - identifies the product (required)';
+ comment on column inventory_v.product_inventory is 'quantity of product available at the store location (required)';
+
+-------------------------------------------------------------------------
+-- 6a) Get Databricks analytics data - TBD using PL/SQL --- not needs to be run now - it will be runned as simulation from ATP.
+-------------------------------------------------------------------------
+--- configure manually and use this code if you have a databricks env.
+
+ -- -- verify data
+ -- select * from customer_analytics_kpi fetch first 10 rows only;
+
+ -- -- materialize data for faster access
+ -- create materialized view if not exists customer_analytics_kpi_mv
+ -- refresh complete next sysdate + 1/4
+ -- as select * from customer_analytics_kpi;
+
+ -- -- refresh materialize view
+ -- exec dbms_mview.refresh('cohub.customer_analytics_kpi_mv');
+
+ -- -- verify data
+ -- select * from customer_analytics_kpi_mv order by customer_id desc fetch first 10 rows only;
+
+ -- -- A local name to represent the share provider
+ -- databricks_credential_name VARCHAR2(4000) := 'databricks_provider';
+
+ -- -- Create credential object(s)
+ -- begin
+ -- credential_base_name => databricks_credential_name,
+ -- dbms_share.create_credentials(
+ -- delta_profile => databricks_delta_profile);
+ -- end;
+ -- /
+
+-------------------------------------------------------------------------
+-- 6b) Add metadata to the Databricks external table
+-- -------------------------------------------------------------------------
+
+-- -- add table comment
+-- comment on table customer_analytics_kpi_mv is
+-- 'customer analytics kpi dataset containing comprehensive metrics for customer behavior, order history, and e-commerce engagement. one record per customer with calculated kpis for analysis and reporting.';
+
+-- -- add column comments
+-- comment on column customer_analytics_kpi_mv.customer_id is 'unique identifier for each customer';
+-- comment on column customer_analytics_kpi_mv.full_name is 'customer full name';
+-- comment on column customer_analytics_kpi_mv.email is 'customer email address';
+-- comment on column customer_analytics_kpi_mv.gender is 'customer gender (male, female, non-binary)';
+-- comment on column customer_analytics_kpi_mv.date_of_birth is 'customer date of birth in yyyy-mm-dd format';
+-- comment on column customer_analytics_kpi_mv.age is 'customer age in years calculated from date of birth';
+-- comment on column customer_analytics_kpi_mv.phone_number is 'customer phone number with country code';
+-- comment on column customer_analytics_kpi_mv.account_created_date is 'timestamp when customer account was created';
+-- comment on column customer_analytics_kpi_mv.customer_tenure_days is 'number of days since account creation (customer tenure)';
+-- comment on column customer_analytics_kpi_mv.loyalty_tier is 'customer loyalty program tier (Bronze, Silver, Gold)';
+-- comment on column customer_analytics_kpi_mv.loyalty_points is 'current loyalty points balance';
+-- comment on column customer_analytics_kpi_mv.email_verified is 'email verification status (true/false)';
+-- comment on column customer_analytics_kpi_mv.sms_opt_in is 'sms marketing opt-in status (true/false)';
+-- comment on column customer_analytics_kpi_mv.total_orders is 'total number of orders placed by customer';
+-- comment on column customer_analytics_kpi_mv.lifetime_value is 'customer lifetime value - total revenue generated';
+-- comment on column customer_analytics_kpi_mv.average_order_value is 'average order value (aov) across all customer orders';
+-- comment on column customer_analytics_kpi_mv.last_order_date is 'date of most recent order in yyyy-mm-dd format';
+-- comment on column customer_analytics_kpi_mv.days_since_last_order is 'number of days since last order placed';
+-- comment on column customer_analytics_kpi_mv.preferred_store is 'preferred shopping channel (online, in-store)';
+-- comment on column customer_analytics_kpi_mv.order_frequency is 'order frequency calculated as orders per year';
+-- comment on column customer_analytics_kpi_mv.is_active_customer is 'active customer flag - ordered within last 90 days (true/false)';
+-- comment on column customer_analytics_kpi_mv.customer_segment is 'customer value segment (high value, medium value, low value)';
+-- comment on column customer_analytics_kpi_mv.newsletter_subscribed is 'newsletter subscription status (true/false)';
+-- comment on column customer_analytics_kpi_mv.promotional_emails is 'promotional email opt-in status (true/false)';
+-- comment on column customer_analytics_kpi_mv.marketing_categories_count is 'number of marketing categories customer is interested in';
+-- comment on column customer_analytics_kpi_mv.preferred_style is 'customer preferred clothing style';
+-- comment on column customer_analytics_kpi_mv.favorite_colors_count is 'number of favorite colors specified by customer';
+-- comment on column customer_analytics_kpi_mv.favorite_brands_count is 'number of favorite brands specified by customer';
+-- comment on column customer_analytics_kpi_mv.city is 'customer shipping address city';
+-- comment on column customer_analytics_kpi_mv.state is 'customer shipping address state/province code';
+-- comment on column customer_analytics_kpi_mv.country is 'customer shipping address country';
+
+-------------------------------------------------------------------------
+-- 7) Join data from multiple data source - TBD
+-------------------------------------------------------------------------
+
+ -- select * from customers@atp_co_link;
+ -- select * from customer_profile@mongodb_atlas_link_co fetch first 10 rows only;
+ -- select * from customer_profile_mv;
+ -- select count(1) from customer_profile_mv;
+
+
+-------------------------------------------------------------------------
+-- 8a) Setup Select AI profile for NL2SQL
+-------------------------------------------------------------------------
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub_nl2sql',
+ attributes =>'{"provider": "oci",
+ "region":"${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_nl2sql}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"}%{ if mongo_mode == "atlas" },
+ {"owner": "' || l_owner || '", "name": "customer_profile_mv"}%{ endif },
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+
+exec dbms_cloud_ai.set_profile('select_ai_hub_nl2sql');
+
+-------------------------------------------------------------------------
+-- 8b) Setup Select AI profile for Agents
+-------------------------------------------------------------------------
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub',
+ attributes =>'{"provider": "oci",
+ "region":"${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_agent}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"}%{ if mongo_mode == "atlas" },
+ {"owner": "' || l_owner || '", "name": "customer_profile_mv"}%{ endif },
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+
+
+
+
+
+-------------------------------------------------------------------------
+-- 9) Setup RAG for fashion articles, FAQs
+-------------------------------------------------------------------------
+
+begin
+ dbms_cloud_ai.create_profile(
+ profile_name => 'select_ai_rag',
+ attributes =>
+ '{"provider": "oci",
+ "credential_name": "OCI",
+ "region":"${genai_embedding_region}",
+ "oci_compartment_id":"${rag_compartment_id}",
+ "vector_index_name": "hub_vector_index_fashion_articles",
+ "embedding_model": "${select_ai_embedding_model}",
+ "model": "${select_ai_model_rag}",
+ "max_tokens": 2000,
+ "temperature": 0.0
+ }'
+ );
+end;
+/
+
+select a.profile_name, a.status, b.attribute_name, b.attribute_value
+ from user_cloud_ai_profiles a, user_cloud_ai_profile_attributes b
+ where a.profile_id = b.profile_id
+ order by profile_name;
+
+begin
+ dbms_cloud_ai.create_vector_index(
+ index_name => 'hub_vector_index_fashion_articles',
+ attributes => '{"vector_db_provider": "oracle",
+ "location": "https://objectstorage.${objectstorage_region}.oraclecloud.com/n/${objectstorage_namespace}/b/${files_bucket_name}/o/fashion-articles*.md",
+ "object_storage_credential_name": "OCI",
+ "profile_name": "select_ai_rag",
+ "vector_dimension": 1024,
+ "vector_distance_metric": "cosine",
+ "chunk_overlap":128,
+ "chunk_size":1024,
+ "refresh_rate": 1440
+ }');
+end;
+/
+
+begin
+ dbms_cloud_ai.create_profile(
+ profile_name => 'select_ai_rag_faqs',
+ attributes =>
+ '{"provider": "oci",
+ "credential_name": "OCI",
+ "region":"${genai_embedding_region}",
+ "oci_compartment_id":"${rag_compartment_id}",
+ "vector_index_name": "hub_vector_index_faqs",
+ "embedding_model": "${select_ai_embedding_model}",
+ "model": "${select_ai_model_rag}",
+ "max_tokens": 2000,
+ "temperature": 0.0
+ }'
+ );
+end;
+/
+
+begin
+ dbms_cloud_ai.create_vector_index(
+ index_name => 'hub_vector_index_faqs',
+ attributes => '{"vector_db_provider": "oracle",
+ "location": "https://objectstorage.${objectstorage_region}.oraclecloud.com/n/${objectstorage_namespace}/b/${files_bucket_name}/o/faq*.md",
+ "object_storage_credential_name": "OCI",
+ "profile_name": "select_ai_rag",
+ "vector_dimension": 1024,
+ "vector_distance_metric": "cosine",
+ "chunk_overlap":128,
+ "chunk_size":1024,
+ "refresh_rate": 1440
+ }');
+end;
+/
+
+
+-------------------------------------------------------------------------
+-- 10) Get weather data via REST APIs usinf https://open-meteo.com
+-- example: curl 'https://api.open-meteo.com/v1/forecast?latitude=38.7167&longitude=-9.1333&hourly=temperature_2m'
+-------------------------------------------------------------------------
+
+ ----------
+ -- Get historical weather averages given a location
+ ----------
+
+ -- First, update the global temporary table structure to include month information
+ create global temporary table weather_averages (
+ location varchar2(100),
+ country varchar2(100),
+ latitude number,
+ longitude number,
+ year_month varchar2(7), -- format: yyyy-mm
+ month_start date,
+ month_end date,
+ avg_temp number,
+ avg_wind number,
+ avg_precip number,
+ created_at timestamp
+ ) on commit preserve rows;
+
+ -- procedure to get weather averages given a location, country, start and end date
+ create or replace procedure get_weather_averages(
+ p_location in varchar2,
+ p_country in varchar2,
+ p_start_date in date default add_months(sysdate, -12),
+ p_end_date in date default sysdate
+ )
+ is
+ l_geocode_resp dbms_cloud_types.resp;
+ l_weather_resp dbms_cloud_types.resp;
+ l_geocode_url varchar2(4000);
+ l_weather_url varchar2(4000);
+ l_geocode_json clob;
+ l_weather_json clob;
+ l_latitude number;
+ l_longitude number;
+ pragma autonomous_transaction;
+ begin
+ delete from weather_averages;
+
+ -- step 1: get coordinates
+ l_geocode_url := 'https://geocoding-api.open-meteo.com/v1/search?' ||
+ 'name=' || utl_url.escape(p_location) || '&count=1';
+
+ if p_country is not null then
+ l_geocode_url := l_geocode_url || '&language=en';
+ end if;
+
+ l_geocode_resp := dbms_cloud.send_request(uri => l_geocode_url, method => 'get');
+ l_geocode_json := dbms_cloud.get_response_text(l_geocode_resp);
+
+ select jt.latitude, jt.longitude
+ into l_latitude, l_longitude
+ from json_table(l_geocode_json, '$.results[0]'
+ columns (
+ latitude number path '$.latitude',
+ longitude number path '$.longitude',
+ country varchar2(100) path '$.country'
+ )
+ ) jt
+ where p_country is null or upper(jt.country) like '%' || upper(p_country) || '%';
+
+ -- step 2: get weather data
+ l_weather_url := 'https://archive-api.open-meteo.com/v1/archive?' ||
+ 'latitude=' || l_latitude || '&longitude=' || l_longitude ||
+ '&start_date=' || to_char(p_start_date, 'yyyy-mm-dd') ||
+ '&end_date=' || to_char(p_end_date, 'yyyy-mm-dd') ||
+ '&daily=temperature_2m_mean,wind_speed_10m_max,precipitation_sum&timezone=auto';
+
+ l_weather_resp := dbms_cloud.send_request(uri => l_weather_url, method => 'get');
+ l_weather_json := dbms_cloud.get_response_text(l_weather_resp);
+
+ -- step 3: insert monthly averages
+ insert into weather_averages (
+ location, country, latitude, longitude,
+ year_month, month_start, month_end,
+ avg_temp, avg_wind, avg_precip, created_at
+ )
+ with daily_data as (
+ select
+ to_date(dates.val, 'yyyy-mm-dd') as record_date,
+ to_number(temps.val) as temp,
+ to_number(winds.val) as wind,
+ to_number(precips.val) as precip
+ from
+ json_table(l_weather_json, '$.daily.time[*]'
+ columns (val varchar2(10) path '$', pos for ordinality)) dates
+ inner join json_table(l_weather_json, '$.daily.temperature_2m_mean[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) temps
+ on dates.pos = temps.pos
+ inner join json_table(l_weather_json, '$.daily.wind_speed_10m_max[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) winds
+ on dates.pos = winds.pos
+ inner join json_table(l_weather_json, '$.daily.precipitation_sum[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) precips
+ on dates.pos = precips.pos
+ )
+ select
+ p_location,
+ p_country,
+ l_latitude,
+ l_longitude,
+ to_char(record_date, 'yyyy-mm') as year_month,
+ trunc(record_date, 'mm') as month_start,
+ last_day(record_date) as month_end,
+ round(avg(temp), 2) as avg_temp,
+ round(avg(wind), 2) as avg_wind,
+ round(sum(precip), 2) as total_precip,
+ systimestamp
+ from daily_data
+ group by
+ to_char(record_date, 'yyyy-mm'),
+ trunc(record_date, 'mm'),
+ last_day(record_date)
+ order by to_char(record_date, 'yyyy-mm');
+
+ commit;
+
+ dbms_output.put_line('monthly averages loaded for ' || p_location ||
+ ' (' || sql%rowcount || ' months)');
+
+ exception
+ when no_data_found then
+ raise_application_error(-20001, 'location not found: ' || p_location);
+ when others then
+ raise_application_error(-20002, 'error: ' || sqlerrm);
+ end get_weather_averages;
+ /
+
+ ----------
+ -- Get weather forecast given a location
+ ----------
+
+ -- create a table to store the results in the session
+ create global temporary table weather_forecast (
+ location varchar2(100),
+ country varchar2(100),
+ latitude number,
+ longitude number,
+ forecast_date date,
+ forecast_hour number,
+ temperature number,
+ apparent_temp number,
+ precipitation number,
+ rain number,
+ wind_speed number,
+ wind_direction number,
+ cloud_cover number,
+ humidity number,
+ weather_code number,
+ created_at timestamp
+ ) on commit preserve rows;
+
+ -- create a procedure to get weather forcast given a location, country and days
+ create or replace procedure get_weather_forecast(
+ p_location in varchar2,
+ p_country in varchar2,
+ p_days in number default 7 -- forecast days (max 16 for free api)
+ )
+ is
+ l_geocode_resp dbms_cloud_types.resp;
+ l_forecast_resp dbms_cloud_types.resp;
+ l_geocode_url varchar2(4000);
+ l_forecast_url varchar2(4000);
+ l_geocode_json clob;
+ l_forecast_json clob;
+ l_latitude number;
+ l_longitude number;
+ l_rows_inserted number;
+ pragma autonomous_transaction;
+ begin
+ -- clear the temporary table
+ delete from weather_forecast;
+
+ -- step 1: get coordinates from geocoding api
+ l_geocode_url := 'https://geocoding-api.open-meteo.com/v1/search?' ||
+ 'name=' || utl_url.escape(p_location) ||
+ '&count=1';
+
+ if p_country is not null then
+ l_geocode_url := l_geocode_url || '&language=en';
+ end if;
+
+ l_geocode_resp := dbms_cloud.send_request(
+ uri => l_geocode_url,
+ method => 'get'
+ );
+
+ l_geocode_json := dbms_cloud.get_response_text(l_geocode_resp);
+
+ -- extract latitude and longitude
+ select
+ jt.latitude,
+ jt.longitude
+ into l_latitude, l_longitude
+ from json_table(
+ l_geocode_json, '$.results[0]'
+ columns (
+ latitude number path '$.latitude',
+ longitude number path '$.longitude',
+ country varchar2(100) path '$.country'
+ )
+ ) jt
+ where p_country is null or upper(jt.country) like '%' || upper(p_country) || '%';
+
+ -- step 2: get weather forecast from open-meteo api
+ l_forecast_url := 'https://api.open-meteo.com/v1/forecast?' ||
+ 'latitude=' || l_latitude ||
+ '&longitude=' || l_longitude ||
+ '&hourly=temperature_2m,apparent_temperature,precipitation,' ||
+ 'rain,wind_speed_10m,wind_direction_10m,cloud_cover,' ||
+ 'relative_humidity_2m,weather_code' ||
+ '&forecast_days=' || p_days ||
+ '&timezone=auto';
+
+ l_forecast_resp := dbms_cloud.send_request(
+ uri => l_forecast_url,
+ method => 'get'
+ );
+
+ l_forecast_json := dbms_cloud.get_response_text(l_forecast_resp);
+
+ -- step 3: parse json and insert hourly forecast data
+ insert into weather_forecast (
+ location, country, latitude, longitude,
+ forecast_date, forecast_hour,
+ temperature, apparent_temp, precipitation, rain,
+ wind_speed, wind_direction, cloud_cover, humidity,
+ weather_code, created_at
+ )
+ with hourly_data as (
+ select
+ to_timestamp(times.val, 'yyyy-mm-dd"t"hh24:mi') as forecast_time,
+ to_number(temps.val) as temperature,
+ to_number(apparent.val) as apparent_temp,
+ to_number(precip.val) as precipitation,
+ to_number(rains.val) as rain,
+ to_number(winds.val) as wind_speed,
+ to_number(wind_dir.val) as wind_direction,
+ to_number(clouds.val) as cloud_cover,
+ to_number(humid.val) as humidity,
+ to_number(weather.val) as weather_code
+ from
+ json_table(l_forecast_json, '$.hourly.time[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) times
+ inner join json_table(l_forecast_json, '$.hourly.temperature_2m[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) temps
+ on times.pos = temps.pos
+ inner join json_table(l_forecast_json, '$.hourly.apparent_temperature[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) apparent
+ on times.pos = apparent.pos
+ inner join json_table(l_forecast_json, '$.hourly.precipitation[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) precip
+ on times.pos = precip.pos
+ inner join json_table(l_forecast_json, '$.hourly.rain[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) rains
+ on times.pos = rains.pos
+ inner join json_table(l_forecast_json, '$.hourly.wind_speed_10m[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) winds
+ on times.pos = winds.pos
+ inner join json_table(l_forecast_json, '$.hourly.wind_direction_10m[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) wind_dir
+ on times.pos = wind_dir.pos
+ inner join json_table(l_forecast_json, '$.hourly.cloud_cover[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) clouds
+ on times.pos = clouds.pos
+ inner join json_table(l_forecast_json, '$.hourly.relative_humidity_2m[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) humid
+ on times.pos = humid.pos
+ inner join json_table(l_forecast_json, '$.hourly.weather_code[*]'
+ columns (val varchar2(20) path '$', pos for ordinality)) weather
+ on times.pos = weather.pos
+ )
+ select
+ p_location,
+ p_country,
+ l_latitude,
+ l_longitude,
+ trunc(cast(forecast_time as date)),
+ extract(hour from forecast_time),
+ temperature,
+ apparent_temp,
+ precipitation,
+ rain,
+ wind_speed,
+ wind_direction,
+ cloud_cover,
+ humidity,
+ weather_code,
+ systimestamp
+ from hourly_data;
+
+ l_rows_inserted := sql%rowcount;
+ commit;
+
+ dbms_output.put_line('weather forecast loaded for ' || p_location);
+ dbms_output.put_line('location: lat ' || l_latitude || ', lon ' || l_longitude);
+ dbms_output.put_line('hours forecasted: ' || l_rows_inserted);
+ dbms_output.put_line('days: ' || p_days);
+
+ exception
+ when no_data_found then
+ raise_application_error(-20001, 'location not found: ' || p_location);
+ when others then
+ raise_application_error(-20002, 'error retrieving forecast: ' || sqlerrm);
+ end get_weather_forecast;
+ /
+
+
+-------------------------------------------------------------------------
+-- 10 a) Create a function to add an item to a cart
+-------------------------------------------------------------------------
+
+ -- dummy credential
+ BEGIN
+ DBMS_CLOUD.CREATE_CREDENTIAL(
+ credential_name => 'oci_api_gateway',
+ username => 'unused',
+ password => 'unused'
+ );
+ END;
+ /
+
+ CREATE OR REPLACE PROCEDURE add_cart_item (
+ p_customer_id IN VARCHAR2,
+ p_session_id IN VARCHAR2,
+ p_json_payload IN CLOB,
+ p_status_code OUT NUMBER,
+ p_response_text OUT CLOB
+ ) IS
+ l_response DBMS_CLOUD_TYPES.resp;
+ l_uri VARCHAR2(500) := '${cart_items_api_url}';
+ l_headers CLOB;
+ BEGIN
+ -- headers as JSON text (customer_id as cookie)
+ l_headers :=
+ '{"Content-Type":"application/json",' ||
+ '"Cookie":"session=' || p_session_id || '; customer_id=' || p_customer_id || '"}';
+
+ l_response := DBMS_CLOUD.SEND_REQUEST(
+ credential_name => 'oci_api_gateway',
+ uri => l_uri,
+ method => 'POST',
+ headers => l_headers,
+ body => UTL_RAW.cast_to_raw(p_json_payload)
+ );
+
+ p_status_code := DBMS_CLOUD.GET_RESPONSE_STATUS_CODE(l_response);
+ p_response_text := DBMS_CLOUD.GET_RESPONSE_TEXT(l_response);
+
+ DBMS_OUTPUT.PUT_LINE('Customer ID: ' || p_customer_id);
+ DBMS_OUTPUT.PUT_LINE('Session: ' || p_session_id);
+ DBMS_OUTPUT.PUT_LINE('Status: ' || p_status_code);
+ DBMS_OUTPUT.PUT_LINE('Response: ' || p_response_text);
+
+ EXCEPTION
+ WHEN OTHERS THEN
+ p_status_code := -1;
+ p_response_text := 'Error: ' || SQLERRM;
+ DBMS_OUTPUT.PUT_LINE('Error occurred: ' || SQLERRM);
+ RAISE;
+ END add_cart_item;
+ /
+
+
+-------------------------------------------------------------------------
+-- 11) Create auxiliary functions to be used on with Agents Tasks custom tools
+-------------------------------------------------------------------------
+
+ -- create a function to get weather averages for a given location
+
+ create or replace function get_weather_averages_json(
+ p_location in varchar2,
+ p_country in varchar2,
+ p_months in number default 60 -- default to 5 years (60 months)
+ )
+ return clob
+ is
+ v_result clob;
+ v_start_date date;
+ v_end_date date;
+ begin
+ -- calculate date range
+ v_end_date := sysdate;
+ v_start_date := add_months(sysdate, -p_months);
+
+ -- call the weather averages procedure
+ get_weather_averages(
+ p_location => p_location,
+ p_country => p_country,
+ p_start_date => v_start_date,
+ p_end_date => v_end_date
+ );
+
+ -- generate json from the results
+ select json_arrayagg(
+ json_object(
+ key 'year_month' value year_month,
+ key 'period' value to_char(month_start, 'month yyyy'),
+ key 'temperature' value avg_temp || '°c',
+ key 'wind_speed' value avg_wind || ' km/h',
+ key 'precipitation' value avg_precip || ' mm',
+ key 'avg_temp_value' value avg_temp,
+ key 'avg_wind_value' value avg_wind,
+ key 'avg_precip_value' value avg_precip
+ returning clob
+ )
+ order by year_month
+ returning clob
+ )
+ into v_result
+ from weather_averages;
+
+ return v_result;
+
+ exception
+ when no_data_found then
+ return json_object(
+ key 'error' value 'no weather data found',
+ key 'location' value p_location,
+ key 'country' value p_country
+ );
+ when others then
+ return json_object(
+ key 'error' value 'database error',
+ key 'message' value sqlerrm,
+ key 'location' value p_location,
+ key 'country' value p_country
+ );
+ end get_weather_averages_json;
+ /
+
+ -- select get_weather_averages_json('Lisbon','Portugal',60) as weather_averages;
+
+ -- create a function that returns the weather forecast as json
+ create or replace function get_weather_forecast_json(
+ p_location in varchar2,
+ p_country in varchar2,
+ p_days in number default 7
+ ) return clob
+ is
+ l_outlook_json clob;
+ begin
+ -- Call your procedure to load data
+ get_weather_forecast(p_location, p_country, p_days);
+
+ -- Aggregate per day with group by forecast_date to fix ORA-00978
+ select json_arrayagg(
+ json_object(
+ 'date' value to_char(forecast_date, 'YYYY-MM-DD'),
+ 'min_temp' value round(min(temperature), 1),
+ 'max_temp' value round(max(temperature), 1),
+ 'total_rain' value round(sum(precipitation), 1),
+ 'outlook' value case
+ when max(weather_code) >= 95 then '⛈️ storms'
+ when max(weather_code) >= 71 then '❄️ snow'
+ when max(weather_code) >= 51 then '🌧️ rain'
+ when max(weather_code) >= 1 then '⛅ cloudy'
+ else '☀️ clear'
+ end
+ )
+ )
+ into l_outlook_json
+ from weather_forecast
+ where forecast_date between trunc(sysdate) and trunc(sysdate) + p_days - 1
+ group by forecast_date
+ order by forecast_date;
+
+ return l_outlook_json;
+ end get_weather_forecast_json;
+ /
+
+ -- create a function that returns the customer 360 profile given a customer name
+ -- create or replace function get_customer_profile_json(
+ -- p_customer_name in varchar2
+ -- )
+ -- return clob
+ -- is
+ -- v_result clob;
+ -- begin
+
+ -- select json_object(
+ -- key 'customer_id' value cp.customerid,
+ -- key 'full_name' value cp.personalinfo_fullname,
+ -- key 'email' value cp.personalinfo_email,
+ -- key 'phone_number' value cp.personalinfo_phonenumber,
+ -- key 'date_of_birth' value cp.personalinfo_dateofbirth,
+ -- key 'gender' value cp.personalinfo_gender,
+ -- key 'account_created' value cp.accountinfo_accountcreated,
+ -- key 'loyalty_points' value cp.accountinfo_loyaltypoints,
+ -- key 'loyalty_tier' value cp.accountinfo_loyaltytier,
+ -- key 'email_verified' value cp.accountinfo_emailverified,
+ -- key 'sms_opt-in' value cp.accountinfo_smsoptin,
+ -- key 'preferred_style' value cp.clothingpreferences_preferredstyle,
+ -- key 'favorite_brand_1' value cp.clothingpreferences_favoritebrands_1,
+ -- key 'favorite_brand_2' value cp.clothingpreferences_favoritebrands_2,
+ -- key 'favorite_brand_3' value cp.clothingpreferences_favoritebrands_3,
+ -- key 'favorite_color_1' value cp.clothingpreferences_favoritecolors_1,
+ -- key 'favorite_color_2' value cp.clothingpreferences_favoritecolors_2,
+ -- key 'favorite_color_3' value cp.clothingpreferences_favoritecolors_3,
+ -- key 'favorite_color_4' value cp.clothingpreferences_favoritecolors_4,
+ -- key 'preferred_size_tops' value cp.clothingpreferences_preferredsize_tops,
+ -- key 'preferred_size_bottoms' value cp.clothingpreferences_preferredsize_bottoms,
+ -- key 'preferred_size_shoes' value cp.clothingpreferences_preferredsize_shoes,
+ -- key 'newsletter_subscribed' value cp.marketingpreferences_newslettersubscribed,
+ -- key 'promotional_emails' value cp.marketingpreferences_promotionalemails,
+ -- key 'marketing_category_1' value cp.marketingpreferences_categories_1,
+ -- key 'marketing_category_2' value cp.marketingpreferences_categories_2,
+ -- key 'marketing_category_3' value cp.marketingpreferences_categories_3,
+ -- key 'total_orders' value cp.purchasehistory_totalorders,
+ -- key 'lifetime_value' value cp.purchasehistory_lifetimevalue,
+ -- key 'average_order_value' value cp.purchasehistory_averageordervalue,
+ -- key 'last_order_date' value cp.purchasehistory_lastorderdate,
+ -- key 'preferred_stores' value cp.purchasehistory_preferredstores,
+ -- key 'shipping_address_label' value cp.shippingaddresses_1_label,
+ -- key 'shipping_address_id' value cp.shippingaddresses_1_addressid,
+ -- key 'shipping_address_street' value cp.shippingaddresses_1_street,
+ -- key 'shipping_address_city' value cp.shippingaddresses_1_city,
+ -- key 'shipping_address_state' value cp.shippingaddresses_1_state,
+ -- key 'shipping_address_zipcode' value cp.shippingaddresses_1_zipcode,
+ -- key 'shipping_address_country' value cp.shippingaddresses_1_country,
+ -- key 'shipping_address_is default' value cp.shippingaddresses_1_isdefault
+ -- )
+ -- into v_result
+ -- from customer_profile_mv cp
+ -- where upper(cp.personalinfo_fullname) = upper(p_customer_name);
+
+ -- return v_result;
+
+ -- exception
+ -- when no_data_found then
+ -- return json_object(key 'error' value 'customer not found');
+ -- when too_many_rows then
+ -- return json_object(key 'error' value 'multiple customers found with same name');
+ -- when others then
+ -- return json_object(
+ -- key 'error' value 'database error',
+ -- key 'message' value sqlerrm
+ -- );
+ -- end get_customer_profile_json;
+ -- /
+
+%{ if mongo_mode == "atlas" ~}
+create or replace function get_customer_profile_json(
+ p_customer_name in varchar2
+)
+return clob
+is
+ v_result clob;
+begin
+ select json_object(
+ key 'customer_id' value cp.customerid,
+ key 'full_name' value cp.personalinfo_fullname,
+ key 'email' value cp.personalinfo_email,
+ key 'phone_number' value cp.personalinfo_phonenumber,
+ key 'date_of_birth' value cp.personalinfo_dateofbirth,
+ key 'gender' value cp.personalinfo_gender,
+ key 'account_created' value cp.accountinfo_accountcreated,
+ key 'loyalty_points' value cp.accountinfo_loyaltypoints,
+ key 'loyalty_tier' value cp.accountinfo_loyaltytier,
+ key 'email_verified' value cp.accountinfo_emailverified,
+ key 'sms_opt-in' value cp.accountinfo_smsoptin,
+ key 'preferred_style' value cp.clothingpreferences_preferredstyle,
+ key 'favorite_brand_1' value cp.clothingpreferences_favoritebrands_1,
+ key 'favorite_brand_2' value cp.clothingpreferences_favoritebrands_2,
+ key 'favorite_brand_3' value cp.clothingpreferences_favoritebrands_3,
+ key 'favorite_color_1' value cp.clothingpreferences_favoritecolors_1,
+ key 'favorite_color_2' value cp.clothingpreferences_favoritecolors_2,
+ key 'favorite_color_3' value cp.clothingpreferences_favoritecolors_3,
+ key 'favorite_color_4' value cp.clothingpreferences_favoritecolors_4,
+ key 'preferred_size_tops' value cp.clothingpreferences_preferredsize_tops,
+ key 'preferred_size_bottoms' value cp.clothingpreferences_preferredsize_bottoms,
+ key 'preferred_size_shoes' value cp.clothingpreferences_preferredsize_shoes,
+ key 'newsletter_subscribed' value cp.marketingpreferences_newslettersubscribed,
+ key 'promotional_emails' value cp.marketingpreferences_promotionalemails,
+ key 'marketing_category_1' value cp.marketingpreferences_categories_1,
+ key 'marketing_category_2' value cp.marketingpreferences_categories_2,
+ key 'marketing_category_3' value cp.marketingpreferences_categories_3,
+ key 'total_orders' value cp.purchasehistory_totalorders,
+ key 'lifetime_value' value cp.purchasehistory_lifetimevalue,
+ key 'average_order_value' value cp.purchasehistory_averageordervalue,
+ key 'last_order_date' value cp.purchasehistory_lastorderdate,
+ key 'preferred_stores' value cp.purchasehistory_preferredstores,
+ key 'shipping_address_label' value cp.shippingaddresses_1_label,
+ key 'shipping_address_id' value cp.shippingaddresses_1_addressid,
+ key 'shipping_address_street' value cp.shippingaddresses_1_street,
+ key 'shipping_address_city' value cp.shippingaddresses_1_city,
+ key 'shipping_address_state' value cp.shippingaddresses_1_state,
+ key 'shipping_address_zipcode' value cp.shippingaddresses_1_zipcode,
+ key 'shipping_address_country' value cp.shippingaddresses_1_country,
+ key 'shipping_address_is default' value cp.shippingaddresses_1_isdefault
+ )
+ into v_result
+ from customer_profile_mv cp
+ where upper(cp.personalinfo_fullname) = upper(p_customer_name);
+
+ return v_result;
+exception
+ when no_data_found then
+ return json_object(key 'error' value 'customer not found');
+ when too_many_rows then
+ return json_object(key 'error' value 'multiple customers found with same name');
+ when others then
+ return json_object(
+ key 'error' value 'database error',
+ key 'message' value sqlerrm
+ );
+end get_customer_profile_json;
+/
+%{ else ~}
+create or replace function get_customer_profile_json(
+ p_customer_name in varchar2
+)
+return clob
+is
+begin
+ return json_object(
+ key 'error' value 'mongodb disabled',
+ key 'message' value 'customer profile source is not deployed'
+ );
+end get_customer_profile_json;
+/
+%{ endif ~}
+
+-- ----- DATABRICKS !!!! table from there.
+-- -- create a function that returns the customer analytics given a customer name
+-- create or replace function get_customer_analytics_kpi_json(p_customer_name in varchar2)
+-- return clob
+-- is
+-- v_json clob;
+-- begin
+-- select json_object(
+-- 'customer_id' value customer_id,
+-- 'full_name' value full_name,
+-- 'email' value email,
+-- 'gender' value gender,
+-- 'date_of_birth' value date_of_birth,
+-- 'age' value age,
+-- 'phone_number' value phone_number,
+-- 'account_created_date' value account_created_date,
+-- 'customer_tenure_days' value customer_tenure_days,
+-- 'loyalty_tier' value loyalty_tier,
+-- 'loyalty_points' value loyalty_points,
+-- 'email_verified' value email_verified,
+-- 'sms_opt_in' value sms_opt_in,
+-- 'total_orders' value total_orders,
+-- 'lifetime_value' value lifetime_value,
+-- 'average_order_value' value average_order_value,
+-- 'last_order_date' value last_order_date,
+-- 'days_since_last_order' value days_since_last_order,
+-- 'preferred_store' value preferred_store,
+-- 'order_frequency' value order_frequency,
+-- 'is_active_customer' value is_active_customer,
+-- 'customer_segment' value customer_segment,
+-- 'newsletter_subscribed' value newsletter_subscribed,
+-- 'promotional_emails' value promotional_emails,
+-- 'marketing_categories_count' value marketing_categories_count,
+-- 'preferred_style' value preferred_style,
+-- 'favorite_colors_count' value favorite_colors_count,
+-- 'favorite_brands_count' value favorite_brands_count,
+-- 'city' value city,
+-- 'state' value state,
+-- 'country' value country
+-- returning clob
+-- )
+-- into v_json
+-- from customer_analytics_kpi_mv
+-- where full_name = p_customer_name;
+
+-- return v_json;
+-- exception
+-- when no_data_found then
+-- return '{"error":"customer not found"}';
+-- when too_many_rows then
+-- return '{"error":"multiple customers found with same name"}';
+-- when others then
+-- return '{"error":"' || replace(sqlerrm, '"', '\"') || '"}';
+-- end get_customer_analytics_kpi_json;
+-- /
+
+-- select get_customer_analytics_kpi_json('Christopher Allen') as customer_analytics_kpi_json;
+
+ -- function that adds an item to the customer active cart
+ CREATE OR REPLACE FUNCTION add_cart_item_fn(
+ p_product_id IN VARCHAR2,
+ p_sku IN VARCHAR2 DEFAULT NULL,
+ p_title IN VARCHAR2,
+ p_category IN VARCHAR2 DEFAULT NULL,
+ p_color IN VARCHAR2 DEFAULT NULL,
+ p_size IN VARCHAR2 DEFAULT NULL,
+ p_brand IN VARCHAR2 DEFAULT NULL,
+ p_price IN NUMBER,
+ p_quantity IN NUMBER,
+ p_discount_percentage IN NUMBER DEFAULT 0,
+ p_image_url IN VARCHAR2 DEFAULT NULL,
+ p_in_stock IN VARCHAR2 DEFAULT NULL,
+ p_customer_id IN VARCHAR2,
+ p_session_id IN VARCHAR2
+ ) RETURN CLOB
+ IS
+ l_status_code NUMBER;
+ l_response_text CLOB;
+ l_json_payload CLOB;
+ BEGIN
+ -- Construct JSON payload with all fields
+ l_json_payload := '{
+ "product_id": "' || p_product_id || '",
+ "sku": "' || NVL(p_sku, '') || '",
+ "title": "' || REPLACE(NVL(p_title, ''), '"', '\"') || '",
+ "category": "' || NVL(p_category, '') || '",
+ "color": "' || NVL(p_color, '') || '",
+ "size": "' || NVL(p_size, '') || '",
+ "brand": "' || NVL(p_brand, '') || '",
+ "price": ' || TO_CHAR(NVL(p_price, 0)) || ',
+ "quantity": ' || TO_CHAR(NVL(p_quantity, 1)) || ',
+ "discount_percentage": ' || TO_CHAR(NVL(p_discount_percentage, 0)) || ',
+ "image_url": "' || NVL(p_image_url, '') || '",
+ "in_stock": "' || NVL(p_in_stock, '') || '"
+ }';
+
+ -- Call the add_cart_item procedure
+ add_cart_item(
+ p_customer_id => p_customer_id,
+ p_session_id => p_session_id,
+ p_json_payload => l_json_payload,
+ p_status_code => l_status_code,
+ p_response_text => l_response_text
+ );
+
+ -- Return response text
+ RETURN l_response_text;
+
+ EXCEPTION
+ WHEN OTHERS THEN
+ RETURN 'Error: ' || SQLERRM;
+ END add_cart_item_fn;
+ /
+
+ -- function that returns the product catalog as json
+ create or replace function get_product_catalog_json_fn
+ return clob
+ is
+ l_json clob;
+ begin
+ select json_arrayagg(
+ json_object(
+ 'sku' value sku,
+ 'product_name' value product_name,
+ 'brand' value brand,
+ 'gender' value gender,
+ 'category' value category,
+ 'subcategory' value subcategory,
+ 'color' value color,
+ 'pattern' value pattern,
+ 'material' value material,
+ 'sizes_available' value sizes_available,
+ 'fit' value fit,
+ 'price_usd' value price_usd,
+ 'discount_percent' value discount_percent,
+ 'country_of_origin' value country_of_origin,
+ 'in_stock' value in_stock,
+ 'stock_quantity' value stock_quantity,
+ 'fashion_trend_2025' value fashion_trend_2025
+ returning clob
+ )
+ returning clob
+ )
+ into l_json
+ from product_catalog;
+
+ return l_json;
+ exception
+ when no_data_found then
+ return '[]';
+ end get_product_catalog_json_fn;
+ /
+
+-------------------------------------------------------------------------
+-- 12) Setup AI Agent - Fashion Advisor
+-------------------------------------------------------------------------
+
+ -- create the customer 360 research agent
+ begin
+ dbms_cloud_ai_agent.create_agent(
+ agent_name => 'customer360_research_agent',
+ attributes => '{
+ "profile_name": "select_ai_hub",
+ "role": "You are responsible to gather a customer 360 view that includes namely customer profile, preferences, loyalty status, number of orders, analytics KPIs and tailor recommendations to a specific customer."
+ }'
+ );
+ end;
+ /
+
+ -- create the fashion advisor agent
+ begin
+ dbms_cloud_ai_agent.create_agent(
+ agent_name => 'fashion_advisor_agent',
+ attributes => '{
+ "profile_name": "select_ai_hub",
+ "role": "You are an experienced fashion advisor agent who deals with customers queries on fashion related requests and advises the best clothing and accessories according to the customers questions. You use a customer 360 profile information and the fashion articles knowledge base. You reply with a cool and fun tone, include emojis when appropriate and always have a friendly sales person speech. ALWAYS TAKE INTO ACCOUNT the persons gender, age, size, preferred style, colors and brands when recommending an item, adjusting the answer and emojis used, accordingly. Provide short answers and do not repeat the customer name on each iteration; just use it on the beginning of the conversation. If the question is not related to fashion just ask politely if you can offer fashion advice but DO NOT PROPOSE ANY ADVICE."
+ }'
+ );
+ end;
+ /
+
+ -- create the weather research agent
+ begin
+ dbms_cloud_ai_agent.create_agent(
+ agent_name => 'weather_research_agent',
+ attributes => '{
+ "profile_name": "select_ai_hub",
+ "role": "You are responsible to gather weather data and provide advice on the weather conditions for a given location, country and season or month of the year. Take into account historical weather averages as well as weather forecast for that specific location. When asked for weather for a specific season and/or months, provide the user with information on temperature and precipitation averages for that season or months."
+ }'
+ );
+ end;
+ /
+
+ -- create the backoffice assistant agent
+ begin
+ dbms_cloud_ai_agent.create_agent(
+ agent_name => 'backoffice_agent',
+ attributes => '{
+ "profile_name": "select_ai_hub",
+ "role": "You are a backoffice assistant responsible to answer customer questions related to FAQs, terms and conditions, orders and payments, shipping and delivery, returns and exchanges, sizing and fit, product generic information, account and loyalty program, privacy and security, promotions and discounts, customer service."
+ }'
+ );
+ end;
+ /
+
+ -- create the shopping cart assistant agent
+ begin
+ dbms_cloud_ai_agent.create_agent(
+ agent_name => 'shopping_cart_assistant',
+ attributes => '{
+ "profile_name": "select_ai_hub",
+ "role": "You are a shopping cart assistant for an ecommerce app. Never claim that an item was added to cart unless the cart tool call actually succeeded. Do not invent cart totals or cart contents. Never ask the user for backend-only product fields such as product_id, sku, category, brand, image_url, in_stock, discount percentage, customer_id or session_id. Ask the user only for shopper-facing choices such as product choice, size, color and quantity when they are missing or ambiguous. If a cart tool fails or returns an error, explicitly say that the add-to-cart action failed. Be helpful, concise and accurate."
+ }'
+ );
+ end;
+ /
+
+ -- create the SQL tool to query data
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'sql',
+ attributes => '{"tool_type": "SQL",
+ "tool_params": {"profile_name": "select_ai_hub"}}',
+ description => 'SQL tool to query data'
+ );
+ end;
+ /
+
+ -- create a rag function (workaround provided by engineering)
+ -- https://oracle-one.slack.com/archives/C05TH2E4W1J/p1760724648131369?thread_ts=1760719144.582959&cid=C05TH2E4W1J
+ create or replace function rag_func(
+ user_prompt in clob
+ ) return clob
+ is
+ l_result clob;
+ begin
+ l_result := dbms_cloud_ai.generate(prompt => user_prompt,
+ profile_name => 'select_ai_rag',
+ action => 'narrate');
+ return replace(replace(l_result, chr(10), ''),'''', '''''');
+ exception
+ when others then
+ return 'run sql exception encountered: ' || replace(replace(sqlerrm, chr(10), ''),'''', '''''') ;
+ end rag_func;
+ /
+
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'rag_tool',
+ attributes => '{"instruction": "this tool is used to search the knowledgebase ' ||
+ 'using retrieval augmented generation search. ' ||
+ 'input should be a search query. ' ||
+ 'this tool will return search results.",
+ "function": "rag_func"}'
+ );
+ end;
+ /
+
+ -- create a rag function (workaround provided by engineering) for FAQs
+ -- https://oracle-one.slack.com/archives/C05TH2E4W1J/p1760724648131369?thread_ts=1760719144.582959&cid=C05TH2E4W1J
+ create or replace function rag_func_faqs(
+ user_prompt in clob
+ ) return clob
+ is
+ l_result clob;
+ begin
+ l_result := dbms_cloud_ai.generate(prompt => user_prompt,
+ profile_name => 'select_ai_rag_faqs',
+ action => 'narrate');
+ return replace(replace(l_result, chr(10), ''),'''', '''''');
+ exception
+ when others then
+ return 'run sql exception encountered: ' || replace(replace(sqlerrm, chr(10), ''),'''', '''''') ;
+ end rag_func_faqs;
+ /
+
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'rag_tool_faqs',
+ attributes => '{"instruction": "this tool is used to search the knowledgebase ' ||
+ 'using retrieval augmented generation search. ' ||
+ 'input should be a search query. ' ||
+ 'this tool will return search results.",
+ "function": "rag_func_faqs"}'
+ );
+ end;
+ /
+
+
+ -- create a custom tool to query customer profile
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'get_customer360_profile_tool',
+ attributes => '{"instruction": "Get the customer profile for a given customer; when invoking always verify there is a customer name to use as input. If the customer profile was already retrieved, do not use this tool again.",
+ "function": "get_customer_profile_json",
+ "tool_inputs":
+ [
+ {
+ "name": "p_customer_name",
+ "description": "Customer name"
+ }
+ ]
+ }',
+ description => 'Tool to get the customer profile given a customer name'
+ );
+ end;
+ /
+
+ -- create a custom tool to query customer analytics kpis
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'get_customer_analytics_kpi_tool',
+ attributes => '{"instruction": "Get the customer analytics KPIs for a given customer; when invoking always verify there is a customer name to use as input. Always use this tool once per conversation. If the customer analytics was already retrieved, do not use this tool again.",
+ "function": "get_customer_analytics_kpi_json",
+ "tool_inputs":
+ [
+ {
+ "name": "p_customer_name",
+ "description": "Customer name"
+ }
+ ]
+ }',
+ description => 'Tool to get the customer analytics KPIs given a customer name'
+ );
+ end;
+ /
+
+ -- create a tool to get weather averages
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'get_weather_averages_tool',
+ attributes => '{"instruction": "Get the weather averages for a given location and country. Determine which country to use if the user did not provided it on the query. When invoking always verify there is a location and country to use as input. For duration always use 60. For the customer home address only use if the tool has not been used before. If the customer mention a specific location, different than the home address location, then use the tool, but only if the location was never mentioned before on the conversation.",
+ "function": "get_weather_averages_json",
+ "tool_inputs":
+ [
+ {
+ "name": "p_location",
+ "description": "Location for which the weather averages need to be provided. Location is typically a city."
+ },
+ {
+ "name": "p_country",
+ "description": "Country in which the location is part of."
+ },
+ {
+ "name": "p_months",
+ "description": "How many months in the past need to be retrieved for the historical weather averages. Use always 60."
+ }
+ ]
+ }',
+ description => 'Tool to get the weather averages for a given location, country and number of months.'
+ );
+ end;
+ /
+
+ -- create the add cart item tool
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'add_cart_item_tool',
+ attributes => '{"instruction": "Use this tool to add an item to the shopping cart. Never ask the user for backend-only product fields such as product_id, sku, category, brand, image_url, in_stock, discount percentage, customer_id or session_id. These fields must be resolved from the product catalog and the conversation context before calling the tool. Ask the user only for shopper-facing choices such as size, color, and quantity when they are missing or ambiguous. Consider the operation successful only if the tool returns HTTP 200 or 201 and the JSON response contains success=true. If the tool returns an error, HTTP 4xx or 5xx, times out, or returns success=false, treat the operation as failed and do not claim success. Never invent missing product attributes and never invent cart totals.",
+ "function": "add_cart_item_fn",
+ "tool_inputs":
+ [
+ {
+ "name": "p_product_id",
+ "description": "Identifier of the product to add to the cart. Use the SKU value."
+ },
+ {
+ "name": "p_sku",
+ "description": "SKU of the product to add to the cart."
+ },
+ {
+ "name": "p_title",
+ "description": "Product name of the product to add to the cart."
+ },
+ {
+ "name": "p_category",
+ "description": "Product category of the product to add to the cart."
+ },
+ {
+ "name": "p_color",
+ "description": "Color of the product to add to the cart."
+ },
+ {
+ "name": "p_size",
+ "description": "Size of the product to add to the cart."
+ },
+ {
+ "name": "p_brand",
+ "description": "Brand of the product to add to the cart."
+ },
+ {
+ "name": "p_price",
+ "description": "Price for the product to be added to the cart."
+ },
+ {
+ "name": "p_quantity",
+ "description": "Quantity to add to the cart."
+ },
+ {
+ "name": "p_discount_percentage",
+ "description": "Discount percentage for the product to add to the cart."
+ },
+ {
+ "name": "p_image_url",
+ "description": "Image url of the product to add to the cart."
+ },
+ {
+ "name": "p_in_stock",
+ "description": "Stock availability flag for the product to add to the cart."
+ },
+ {
+ "name": "p_customer_id",
+ "description": "customer_id of the customer asking to add the item to the cart; USE THE customer_id ALREADY PROVIDED ON THE CONVERSATION."
+ },
+ {
+ "name": "p_session_id",
+ "description": "session_id of the current customer session."
+ }
+ ]
+ }',
+ description => 'Tool to add items to the cart when the user asks to add items to the cart.'
+ );
+ end;
+ /
+
+
+ -- create a custom tool to query product catalog details
+ begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'get_product_catalog_tool',
+ attributes => '{"instruction": "Get the product catalog details.",
+ "function": "get_product_catalog_json_fn",
+ "tool_inputs":
+ []
+ }',
+ description => 'Tool to get the product catalot details.'
+ );
+ end;
+ /
+
+ --- TO BE CKECHED !!!
+ -- create a customer 360 task
+ -- exec dbms_cloud_ai_agent.drop_task('customer_360');
+ begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'customer_360',
+ attributes =>'{
+ "instruction": "Get customer 360 profile and analytics KPIs for the user requesting advice. Return the full profile and analytics KPIs in JSON. Make sure there is a customer name to use as input. If there is no customer name or the tool returned error, ask the customer name. Only perform this task once per conversation. IF THIS TASK WAS EXECUTED BEFORE FOR THE CUSTOMER BEING ASKED, SKIP IT AND DO NOT RUN IT AGAIN. User question: {query}",
+ "tools": ["get_customer360_profile_tool"],
+ "enable_human_tool" : "false"
+ }'
+ );
+ end;
+ /
+
+ -- create a get weather averages task
+ begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'get_weather_averages',
+ attributes =>'{
+ "instruction": "If the user provides a location in the query, and wants to know weather a specific item is fit for purpose for a given season or month in the year, get the weather averages to provide factual information based on historical weather averages. If the user did not mentioned a location, use the location stated on the customer profile. Return the full weather averages JSON. Make sure there is a location to use as input. If there is no location provided in the query or context, do not get the weather information. If the tool returned error, ask the customer location. IF THIS TASK WAS EXECUTED BEFORE FOR THE LOCATION BEING ASKED, SKIP IT AND DO NOT RUN IT AGAIN. User question: {query}",
+ "tools": ["get_weather_averages_tool"],
+ "enable_human_tool" : "false"
+ }'
+ );
+ end;
+ /
+
+ -- create a research fashion advice task
+ begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'research_fashion_advice',
+ attributes =>'{
+ "instruction": "Fetch fashion advice using the fashion articles knowledge base and RAG, based on customer profile and user request.You are interacting with a customer. Use an informal style and tone. Your goal is to provide a recommendation for clothing or shoes, according to what the customer asked and that fits his preferences namely in size, colours, brands. Use short, creative and enticing explanations for the recommendation text. Make sure the product is part of the product catalog and retrieve all product details including product id, sku, product name, product category, color, size, brand, price, quantity, discount percentage, image url, in stock. Just recommend products that are available through the rag_tool output and that have a valid SKU. When recommending a specific product, always include the product name and in parenthesis the SKU, price and discount; do not include other product details in the answer. ONLY RECOMMEND products that are available in the product catalog; use the get_product_catalog_tool to get the product catalog details; if you have already the details of the product catalog in the session, do not invoke the get_product_catalog_tool tool again. User request: {query}",
+ "input":"customer_360",
+ "tools": ["rag_tool","get_product_catalog_tool"],
+ "enable_human_tool" : "false"
+ }'
+ );
+ end;
+ /
+
+ -- create a backoffice assistant research task
+ begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'research_faqs',
+ attributes =>'{
+ "instruction": "Answer questions related to non fashion topics using the FAQs knowledge base and RAG. You are interacting with a customer. Use an informal style and tone. ONLY USE THIS TASK IF THE QUESTION IS ABOUT FAQS, TERMS AND CONDITIONS, ORDERS AND PAYMENTS, SHIPPING AND DELIVERY, RETURNS AND EXCHANGES, SIZING AND FIT, PRODUCT GENERIC INFORMATION, ACCOUNT AND LOYALTY PROGRAM, PRIVACY AND SECURITY, PROMOTIONS AND DISCOUNTS, CUSTOMER SERVICE. DO NOT USE THIS TOOL FOR ANYTHING ELSE. Use concise, objective and clear explanations for the answer. User request: {query}",
+ "tools": ["rag_tool_faqs"],
+ "enable_human_tool" : "false"
+ }'
+ );
+ end;
+ /
+
+ -- create the add cart item task
+ begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'add_cart_item_task',
+ attributes =>'{
+ "instruction": "Add the item to the cart that the user asked for. Ask the user only for shopper-facing fields that are truly missing or ambiguous: product choice, size, color and quantity. Never ask the user for backend-only fields such as product id, sku, category, brand, image url, in stock, price, discount percentage, customer_id or session_id. Reuse product details from prior recommendations whenever possible. After calling the tool, confirm success only if the tool returned HTTP 200 or 201 and success=true. If the tool failed, explicitly say the add-to-cart action failed and do not claim success. User request: {query}",
+ "input":"research_fashion_advice",
+ "tools": ["add_cart_item_tool","get_product_catalog_tool"],
+ "enable_human_tool" : "true"
+ }'
+ );
+ end;
+ /
+
+ -- create the fashion advisor agent team
+ begin
+ dbms_cloud_ai_agent.create_team(
+ team_name => 'fashion_advisor_team',
+ attributes => '{"agents":
+ [
+ {"name":"customer360_research_agent","task":"customer_360"},
+ {"name":"weather_research_agent","task":"get_weather_averages"},
+ {"name":"backoffice_agent","task":"research_faqs"},
+ {"name":"fashion_advisor_agent","task":"research_fashion_advice"},
+ {"name":"shopping_cart_assistant","task":"add_cart_item_task"}
+ ],
+ "process": "sequential"}');
+ end;
+ /
+
+-------------------------------------------------------------------------
+-- 13) Test AI Agent - Fashion Advisor
+-------------------------------------------------------------------------
+
+-- -- clear the existing conversation
+-- exec dbms_cloud_ai.clear_conversation_id;
+-- select dbms_cloud_ai.get_conversation_id from dual;
+
+-- -- create conversation
+
+-- SELECT DBMS_CLOUD_AI.CREATE_CONVERSATION(
+-- attributes => '{
+-- "title":"Fashion Advisor",
+-- "description":"Focus on providing fashion advice; customer is Sam Rueb",
+-- "retention_days":14,
+-- "conversation_length":15
+-- }'
+-- ) AS conversation_id FROM dual;
+
+-- exec dbms_cloud_ai.clear_conversation_id;
+
+-- -- set team
+-- exec dbms_cloud_ai_agent.set_team(team_name => 'fashion_advisor_team');
+-- select dbms_cloud_ai_agent.get_team();
+
+-- -- interact with the agent
+-- -- select ai agent "I'm Christopher Allen and I'm looking for advice for a coat. What do you recommend?"
+-- -- select ai agent "Are those suggested coats good enough for the winter on the city I live in?"
+-- -- select ai agent "I'm also considering traveling to Lisbon during its winter. Are those suggestions suitable?"
+-- -- select ai agent "What is the maximum discount that I have based on my loyalty account?"
+
+-- -- clear team
+-- exec dbms_cloud_ai_agent.clear_team;
+
+-- select get_weather_averages_json('Lisbon','Portugal',60) as weather_averages;
+
+-- -- check history views to troubleshoot
+-- select team.team_exec_id, team.team_name, team.state, team.end_date - team.start_date duration, team.conversation_id, team.start_date, team.end_date from user_ai_agent_team_history team order by team.end_date desc;
+
+-- select task.task_name, task.end_date - task.start_date duration, task.* from user_ai_agent_task_history task order by end_date desc;
+
+-- select tool.tool_name, tool.end_date - tool.start_date duration, tool.* from user_ai_agent_tool_history tool order by invocation_id desc;
+
+-- -- get the conversation prompts for a given conversation
+-- select * from user_cloud_ai_conversation_prompts where conversation_id = '4A1718D6-73DB-2571-E063-1A13000A2689';
+
+-- -- View Agent Prompts and Responses from the Latest Team Run
+-- WITH latest_team AS (
+-- SELECT team_exec_id, team_name, start_date
+-- FROM user_ai_agent_team_history
+-- ORDER BY start_date DESC
+-- FETCH FIRST 1 ROW ONLY
+-- ),
+-- latest_task AS (
+-- SELECT team_exec_id, task_name, agent_name, conversation_params, start_date,
+-- ROW_NUMBER() OVER (PARTITION BY team_exec_id, task_name, agent_name
+-- ORDER BY start_date DESC) as rn
+-- FROM user_ai_agent_task_history
+-- )
+-- SELECT
+-- team.team_name,
+-- task.task_name,
+-- task.agent_name,
+-- length(p.prompt) as prompt_length,
+-- length(p.prompt_response) as prompt_response_length,
+-- p.prompt,
+-- p.prompt_response
+-- FROM latest_team team
+-- JOIN latest_task task
+-- ON team.team_exec_id = task.team_exec_id
+-- AND task.rn = 1
+-- LEFT JOIN user_cloud_ai_conversation_prompts p
+-- ON p.conversation_id = JSON_VALUE(task.conversation_params, '$.conversation_id')
+-- ORDER BY task.start_date DESC NULLS LAST,
+-- p.created DESC NULLS LAST;
+
+ exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_ai_profiles_oracle.sql.tftpl b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_ai_profiles_oracle.sql.tftpl
new file mode 100644
index 0000000..5260f23
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_ai_profiles_oracle.sql.tftpl
@@ -0,0 +1,73 @@
+set define off;
+set serveroutput on;
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ begin
+ dbms_cloud_ai.drop_profile(profile_name => 'select_ai_hub_nl2sql');
+ exception
+ when others then null;
+ end;
+
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub_nl2sql',
+ attributes =>'{"provider": "oci",
+ "region": "${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_nl2sql}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"},
+ {"owner": "' || l_owner || '", "name": "customer_profile_oracle"},
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+show errors;
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ begin
+ dbms_cloud_ai.drop_profile(profile_name => 'select_ai_hub');
+ exception
+ when others then null;
+ end;
+
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub',
+ attributes =>'{"provider": "oci",
+ "region": "${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_agent}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"},
+ {"owner": "' || l_owner || '", "name": "customer_profile_oracle"},
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+show errors;
+
+exec dbms_cloud_ai.set_profile('select_ai_hub_nl2sql');
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_analytics_oracle_api.sql.tftpl b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_analytics_oracle_api.sql.tftpl
new file mode 100644
index 0000000..42a5810
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_analytics_oracle_api.sql.tftpl
@@ -0,0 +1,257 @@
+set define off;
+set serveroutput on;
+
+-------------------------------------------------------------------------
+-- Oracle API mode only: ATP analytics exposed to ADW over atp_co_link
+-------------------------------------------------------------------------
+
+begin
+ begin
+ execute immediate 'drop materialized view customer_analytics_kpi_mv';
+ exception
+ when others then
+ if sqlcode not in (-12003, -942, -1435) then
+ null;
+ end if;
+ end;
+
+ begin
+ execute immediate 'drop view customer_analytics_kpi_mv';
+ exception
+ when others then
+ if sqlcode != -942 then
+ null;
+ end if;
+ end;
+end;
+/
+
+create or replace view customer_analytics_kpi_mv as
+select
+ customer_id,
+ full_name,
+ email,
+ gender,
+ date_of_birth,
+ age,
+ phone_number,
+ account_created_date,
+ customer_tenure_days,
+ loyalty_tier,
+ loyalty_points,
+ email_verified,
+ sms_opt_in,
+ total_orders,
+ lifetime_value,
+ average_order_value,
+ last_order_date,
+ days_since_last_order,
+ preferred_store,
+ order_frequency,
+ is_active_customer,
+ customer_segment,
+ newsletter_subscribed,
+ promotional_emails,
+ marketing_categories_count,
+ preferred_style,
+ favorite_colors_count,
+ favorite_brands_count,
+ city,
+ state,
+ country
+from customer_analytics_kpi@atp_co_link;
+/
+
+create or replace function get_customer_analytics_kpi_json(
+ p_customer_name in varchar2
+) return clob
+is
+ v_json clob;
+begin
+ select json_object(
+ key 'customer_id' value customer_id,
+ key 'full_name' value full_name,
+ key 'email' value email,
+ key 'gender' value gender,
+ key 'date_of_birth' value to_char(date_of_birth, 'YYYY-MM-DD'),
+ key 'age' value age,
+ key 'phone_number' value phone_number,
+ key 'account_created_date' value to_char(account_created_date, 'YYYY-MM-DD"T"HH24:MI:SS'),
+ key 'customer_tenure_days' value customer_tenure_days,
+ key 'loyalty_tier' value loyalty_tier,
+ key 'loyalty_points' value loyalty_points,
+ key 'email_verified' value email_verified,
+ key 'sms_opt_in' value sms_opt_in,
+ key 'total_orders' value total_orders,
+ key 'lifetime_value' value lifetime_value,
+ key 'average_order_value' value average_order_value,
+ key 'last_order_date' value to_char(last_order_date, 'YYYY-MM-DD'),
+ key 'days_since_last_order' value days_since_last_order,
+ key 'preferred_store' value preferred_store,
+ key 'order_frequency' value order_frequency,
+ key 'is_active_customer' value is_active_customer,
+ key 'customer_segment' value customer_segment,
+ key 'newsletter_subscribed' value newsletter_subscribed,
+ key 'promotional_emails' value promotional_emails,
+ key 'marketing_categories_count' value marketing_categories_count,
+ key 'preferred_style' value preferred_style,
+ key 'favorite_colors_count' value favorite_colors_count,
+ key 'favorite_brands_count' value favorite_brands_count,
+ key 'city' value city,
+ key 'state' value state,
+ key 'country' value country
+ returning clob
+ )
+ into v_json
+ from customer_analytics_kpi_mv
+ where upper(full_name) = upper(p_customer_name)
+ fetch first 1 row only;
+
+ return v_json;
+exception
+ when no_data_found then
+ return to_clob('{"error":"customer analytics not found"}');
+ when others then
+ return to_clob(
+ '{"error":"database error","message":"' ||
+ replace(replace(sqlerrm, '"', '\"'), chr(10), ' ') ||
+ '"}'
+ );
+end get_customer_analytics_kpi_json;
+/
+show errors;
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ begin
+ dbms_cloud_ai.drop_profile(profile_name => 'select_ai_hub_nl2sql');
+ exception
+ when others then null;
+ end;
+
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub_nl2sql',
+ attributes =>'{"provider": "oci",
+ "region": "${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_nl2sql}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"},
+ {"owner": "' || l_owner || '", "name": "customer_profile_oracle"},
+ {"owner": "' || l_owner || '", "name": "customer_analytics_kpi_mv"},
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+show errors;
+
+declare
+ l_owner varchar2(50) := user;
+begin
+ begin
+ dbms_cloud_ai.drop_profile(profile_name => 'select_ai_hub');
+ exception
+ when others then null;
+ end;
+
+ dbms_cloud_ai.create_profile(
+ profile_name =>'select_ai_hub',
+ attributes =>'{"provider": "oci",
+ "region": "${rag_region}",
+ "credential_name": "oci",
+ "model":"${select_ai_model_agent}",
+ "oci_apiformat":"GENERIC",
+ "comments": "true",
+ "temperature": 0.0,
+ "object_list": [
+ {"owner": "' || l_owner || '", "name": "customers_v"},
+ {"owner": "' || l_owner || '", "name": "customer_profile_oracle"},
+ {"owner": "' || l_owner || '", "name": "customer_analytics_kpi_mv"},
+ {"owner": "' || l_owner || '", "name": "orders_v"},
+ {"owner": "' || l_owner || '", "name": "order_items_v"},
+ {"owner": "' || l_owner || '", "name": "shipments_v"},
+ {"owner": "' || l_owner || '", "name": "products_v"},
+ {"owner": "' || l_owner || '", "name": "inventory_v"},
+ {"owner": "' || l_owner || '", "name": "stores_v"}
+ ]
+ }');
+end;
+/
+show errors;
+
+exec dbms_cloud_ai.set_profile('select_ai_hub_nl2sql');
+
+begin
+ begin
+ dbms_cloud_ai_agent.drop_tool('get_customer_analytics_kpi_tool', force => true);
+ exception
+ when others then null;
+ end;
+end;
+/
+
+begin
+ dbms_cloud_ai_agent.create_tool(
+ tool_name => 'get_customer_analytics_kpi_tool',
+ attributes => '{"instruction": "Get the customer analytics KPIs for a given customer; when invoking always verify there is a customer name to use as input. If the customer analytics was already retrieved, do not use this tool again.",
+ "function": "get_customer_analytics_kpi_json",
+ "tool_inputs":
+ [
+ {
+ "name": "p_customer_name",
+ "description": "Customer name"
+ }
+ ]
+ }',
+ description => 'Tool to get the customer analytics KPIs given a customer name'
+ );
+end;
+/
+
+begin
+ begin
+ dbms_cloud_ai_agent.drop_task('customer_360', force => true);
+ exception
+ when others then null;
+ end;
+end;
+/
+
+begin
+ dbms_cloud_ai_agent.create_task(
+ task_name =>'customer_360',
+ attributes =>'{
+ "instruction": "Get customer profile and analytics KPIs for the user requesting advice. Return the full profile and analytics KPIs in JSON. Make sure there is a customer name to use as input. If there is no customer name or the tools returned error, ask the customer name. Only perform this task once per conversation. User question: {query}",
+ "tools": ["get_customer360_profile_tool", "get_customer_analytics_kpi_tool"],
+ "enable_human_tool" : "false"
+ }'
+ );
+end;
+/
+
+begin
+ dbms_cloud_ai_agent.clear_team;
+exception
+ when others then null;
+end;
+/
+
+begin
+ dbms_cloud_ai_agent.set_team(team_name => 'fashion_advisor_team');
+end;
+/
+
+select dbms_cloud_ai_agent.get_team() from dual;
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_customer_profile_function_oracle.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_customer_profile_function_oracle.sql
new file mode 100644
index 0000000..1d73375
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_customer_profile_function_oracle.sql
@@ -0,0 +1,75 @@
+set define off;
+set serveroutput on;
+
+create or replace function get_customer_profile_json(
+ p_customer_name in varchar2
+)
+return clob
+is
+ v_result clob;
+begin
+ select json_object(
+ key 'customer_id' value customer_id,
+ key 'full_name' value json_value(profile_json, '$.personalInfo.fullName'),
+ key 'email' value json_value(profile_json, '$.personalInfo.email'),
+ key 'phone_number' value json_value(profile_json, '$.personalInfo.phoneNumber'),
+ key 'date_of_birth' value json_value(profile_json, '$.personalInfo.dateOfBirth'),
+ key 'gender' value json_value(profile_json, '$.personalInfo.gender'),
+ key 'account_created' value json_value(profile_json, '$.accountInfo.accountCreated'),
+ key 'loyalty_points' value json_value(profile_json, '$.accountInfo.loyaltyPoints'),
+ key 'loyalty_tier' value json_value(profile_json, '$.accountInfo.loyaltyTier'),
+ key 'email_verified' value json_value(profile_json, '$.accountInfo.emailVerified'),
+ key 'sms_opt-in' value json_value(profile_json, '$.accountInfo.smsOptIn'),
+ key 'preferred_style' value json_value(profile_json, '$.clothingPreferences.preferredStyle'),
+ key 'favorite_brand_1' value json_value(profile_json, '$.clothingPreferences.favoriteBrands[0]'),
+ key 'favorite_brand_2' value json_value(profile_json, '$.clothingPreferences.favoriteBrands[1]'),
+ key 'favorite_brand_3' value json_value(profile_json, '$.clothingPreferences.favoriteBrands[2]'),
+ key 'favorite_color_1' value json_value(profile_json, '$.clothingPreferences.favoriteColors[0]'),
+ key 'favorite_color_2' value json_value(profile_json, '$.clothingPreferences.favoriteColors[1]'),
+ key 'favorite_color_3' value json_value(profile_json, '$.clothingPreferences.favoriteColors[2]'),
+ key 'favorite_color_4' value json_value(profile_json, '$.clothingPreferences.favoriteColors[3]'),
+ key 'preferred_size_tops' value json_value(profile_json, '$.clothingPreferences.preferredSize.tops'),
+ key 'preferred_size_bottoms' value json_value(profile_json, '$.clothingPreferences.preferredSize.bottoms'),
+ key 'preferred_size_shoes' value json_value(profile_json, '$.clothingPreferences.preferredSize.shoes'),
+ key 'newsletter_subscribed' value json_value(profile_json, '$.marketingPreferences.newsletterSubscribed'),
+ key 'promotional_emails' value json_value(profile_json, '$.marketingPreferences.promotionalEmails'),
+ key 'marketing_category_1' value json_value(profile_json, '$.marketingPreferences.categories[0]'),
+ key 'marketing_category_2' value json_value(profile_json, '$.marketingPreferences.categories[1]'),
+ key 'marketing_category_3' value json_value(profile_json, '$.marketingPreferences.categories[2]'),
+ key 'total_orders' value json_value(profile_json, '$.purchaseHistory.totalOrders'),
+ key 'lifetime_value' value json_value(profile_json, '$.purchaseHistory.lifetimeValue'),
+ key 'average_order_value' value json_value(profile_json, '$.purchaseHistory.averageOrderValue'),
+ key 'last_order_date' value json_value(profile_json, '$.purchaseHistory.lastOrderDate'),
+ key 'preferred_stores' value json_value(profile_json, '$.purchaseHistory.preferredStores'),
+ key 'shipping_address_label' value json_value(profile_json, '$.shippingAddresses[0].label'),
+ key 'shipping_address_id' value json_value(profile_json, '$.shippingAddresses[0].addressId'),
+ key 'shipping_address_street' value json_value(profile_json, '$.shippingAddresses[0].street'),
+ key 'shipping_address_city' value json_value(profile_json, '$.shippingAddresses[0].city'),
+ key 'shipping_address_state' value json_value(profile_json, '$.shippingAddresses[0].state'),
+ key 'shipping_address_zipcode' value json_value(profile_json, '$.shippingAddresses[0].zipCode'),
+ key 'shipping_address_country' value json_value(profile_json, '$.shippingAddresses[0].country'),
+ key 'shipping_address_is default' value json_value(profile_json, '$.shippingAddresses[0].isDefault')
+ returning clob
+ )
+ into v_result
+ from customer_profile_oracle
+ where upper(full_name) = upper(p_customer_name)
+ fetch first 1 row only;
+
+ return v_result;
+
+exception
+ when no_data_found then
+ return to_clob('{"error":"customer not found"}');
+ when others then
+ return to_clob(
+ '{"error":"database error","message":"' ||
+ replace(replace(sqlerrm, '"', '\"'), chr(10), ' ') ||
+ '"}'
+ );
+end get_customer_profile_json;
+/
+show errors;
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_verify_customer_profile_oracle.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_verify_customer_profile_oracle.sql
new file mode 100644
index 0000000..e46f48e
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/adw_verify_customer_profile_oracle.sql
@@ -0,0 +1,19 @@
+set define off;
+set serveroutput on;
+
+prompt === customer_profile_oracle count ===
+select count(*) as profile_count
+from customer_profile_oracle;
+
+prompt === sample rows ===
+select customer_id, full_name, email
+from customer_profile_oracle
+fetch first 5 rows only;
+
+prompt === function test ===
+select get_customer_profile_json('Tammy Bryant') as profile_json
+from dual;
+
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp-co-mongo-setup.sql.tftpl b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp-co-mongo-setup.sql.tftpl
new file mode 100755
index 0000000..347cbba
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp-co-mongo-setup.sql.tftpl
@@ -0,0 +1,74 @@
+set define off;
+set serveroutput on;
+
+-------------------------------------------------------------------------
+-- Setup CO user for Oracle Database API for MongoDB on ATP
+-- Run on ATP as ADMIN
+-------------------------------------------------------------------------
+
+begin
+ execute immediate 'grant connect to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'grant resource to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'grant create session to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'grant create table to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'grant soda_app to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'alter user CO quota unlimited on data';
+exception
+ when others then null;
+end;
+/
+
+begin
+ execute immediate 'grant execute on cs_session to CO';
+exception
+ when others then null;
+end;
+/
+
+begin
+ ords.enable_schema(
+ p_enabled => true,
+ p_schema => 'CO',
+ p_url_mapping_type => 'BASE_PATH',
+ p_url_mapping_pattern => 'co',
+ p_auto_rest_auth => false
+ );
+ commit;
+exception
+ when others then
+ dbms_output.put_line('ORDS.ENABLE_SCHEMA warning: ' || sqlerrm);
+end;
+/
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp_customer_analytics_kpi.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp_customer_analytics_kpi.sql
new file mode 100644
index 0000000..83a776b
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/atp_customer_analytics_kpi.sql
@@ -0,0 +1,51 @@
+set define off;
+set serveroutput on;
+
+begin
+ execute immediate 'drop table customer_analytics_kpi purge';
+exception
+ when others then
+ if sqlcode != -942 then
+ raise;
+ end if;
+end;
+/
+
+create table customer_analytics_kpi (
+ customer_id number primary key,
+ full_name varchar2(255),
+ email varchar2(255),
+ gender varchar2(50),
+ date_of_birth date,
+ age number,
+ phone_number varchar2(100),
+ account_created_date timestamp,
+ customer_tenure_days number,
+ loyalty_tier varchar2(50),
+ loyalty_points number,
+ email_verified number(1),
+ sms_opt_in number(1),
+ total_orders number,
+ lifetime_value number(12,2),
+ average_order_value number(12,2),
+ last_order_date date,
+ days_since_last_order number,
+ preferred_store varchar2(255),
+ order_frequency number(10,2),
+ is_active_customer number(1),
+ customer_segment varchar2(50),
+ newsletter_subscribed number(1),
+ promotional_emails number(1),
+ marketing_categories_count number,
+ preferred_style varchar2(100),
+ favorite_colors_count number,
+ favorite_brands_count number,
+ city varchar2(100),
+ state varchar2(100),
+ country varchar2(100)
+);
+
+comment on table customer_analytics_kpi is 'Demo analytics dataset simulating Databricks customer KPIs.';
+
+exit;
+/
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co-customer_profile.csv b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co-customer_profile.csv
new file mode 100644
index 0000000..aed6fca
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co-customer_profile.csv
@@ -0,0 +1,393 @@
+"DATA"
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+"{""customerId"":368,""personalInfo"":{""fullName"":""Joan Miller"",""email"":""joan.miller@internalmail"",""phoneNumber"":""+1-463-893-1943"",""dateOfBirth"":""1987-05-01"",""gender"":""Non-binary""},""accountInfo"":{""accountCreated"":""2021-06-18T02:05:23Z"",""loyaltyTier"":""Silver"",""loyaltyPoints"":8084,""emailVerified"":""true"",""smsOptIn"":""true""},""purchaseHistory"":{""totalOrders"":5,""lifetimeValue"":808.47,""averageOrderValue"":161.69,""lastOrderDate"":""2022-03-28"",""preferredStores"":""Mexico City, Online""},""clothingPreferences"":{""preferredStyle"":""business casual"",""preferredSize"":{""tops"":""M"",""bottoms"":""L"",""shoes"":10},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""9908 Main Street"",""city"":""Houston"",""state"":""TX"",""zipCode"":""88571"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""true"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":369,""personalInfo"":{""fullName"":""Chris Powell"",""email"":""chris.powell@internalmail"",""phoneNumber"":""+1-941-214-1842"",""dateOfBirth"":""1975-05-05"",""gender"":""Male""},""accountInfo"":{""accountCreated"":""2021-08-12T15:58:10Z"",""loyaltyTier"":""Bronze"",""loyaltyPoints"":3466,""emailVerified"":""true"",""smsOptIn"":""false""},""purchaseHistory"":{""totalOrders"":3,""lifetimeValue"":346.6,""averageOrderValue"":115.53,""lastOrderDate"":""2022-03-17"",""preferredStores"":""Bejing, Online""},""clothingPreferences"":{""preferredStyle"":""streetwear"",""preferredSize"":{""tops"":""L"",""bottoms"":""XL"",""shoes"":8},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""987 Main Street"",""city"":""Phoenix"",""state"":""AZ"",""zipCode"":""86776"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""false"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":370,""personalInfo"":{""fullName"":""Russell Rivera"",""email"":""russell.rivera@internalmail"",""phoneNumber"":""+1-675-912-2621"",""dateOfBirth"":""1992-02-27"",""gender"":""Female""},""accountInfo"":{""accountCreated"":""2021-07-25T00:13:16Z"",""loyaltyTier"":""Silver"",""loyaltyPoints"":11793,""emailVerified"":""true"",""smsOptIn"":""true""},""purchaseHistory"":{""totalOrders"":7,""lifetimeValue"":1179.3,""averageOrderValue"":168.47,""lastOrderDate"":""2022-04-07"",""preferredStores"":""Online, Tokyo""},""clothingPreferences"":{""preferredStyle"":""casual"",""preferredSize"":{""tops"":""XL"",""bottoms"":""XXL"",""shoes"":11},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""7033 Main Street"",""city"":""New York"",""state"":""NY"",""zipCode"":""80346"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""true"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":371,""personalInfo"":{""fullName"":""Nancy Hall"",""email"":""nancy.hall@internalmail"",""phoneNumber"":""+1-556-262-3507"",""dateOfBirth"":""1967-08-21"",""gender"":""Non-binary""},""accountInfo"":{""accountCreated"":""2021-06-20T14:17:23Z"",""loyaltyTier"":""Bronze"",""loyaltyPoints"":5663,""emailVerified"":""true"",""smsOptIn"":""false""},""purchaseHistory"":{""totalOrders"":2,""lifetimeValue"":566.32,""averageOrderValue"":283.16,""lastOrderDate"":""2022-03-24"",""preferredStores"":""Online""},""clothingPreferences"":{""preferredStyle"":""formal"",""preferredSize"":{""tops"":""XXL"",""bottoms"":""XS"",""shoes"":6},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""9936 Main Street"",""city"":""Los Angeles"",""state"":""CA"",""zipCode"":""53493"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""true"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":372,""personalInfo"":{""fullName"":""Gerald Evans"",""email"":""gerald.evans@internalmail"",""phoneNumber"":""+1-223-654-5468"",""dateOfBirth"":""1965-05-07"",""gender"":""Male""},""accountInfo"":{""accountCreated"":""2021-05-24T05:16:50Z"",""loyaltyTier"":""Bronze"",""loyaltyPoints"":10542,""emailVerified"":""true"",""smsOptIn"":""true""},""purchaseHistory"":{""totalOrders"":4,""lifetimeValue"":1054.28,""averageOrderValue"":263.57,""lastOrderDate"":""2022-01-17"",""preferredStores"":""Online""},""clothingPreferences"":{""preferredStyle"":""athletic"",""preferredSize"":{""tops"":""XS"",""bottoms"":""S"",""shoes"":6},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""5707 Main Street"",""city"":""Chicago"",""state"":""IL"",""zipCode"":""86884"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""false"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":391,""personalInfo"":{""fullName"":""Edward Coleman"",""email"":""edward.coleman@internalmail"",""phoneNumber"":""+1-310-723-6163"",""dateOfBirth"":""1996-02-05"",""gender"":""Female""},""accountInfo"":{""accountCreated"":""2021-05-21T00:29:33Z"",""loyaltyTier"":""Silver"",""loyaltyPoints"":9718,""emailVerified"":""true"",""smsOptIn"":""false""},""purchaseHistory"":{""totalOrders"":5,""lifetimeValue"":971.8,""averageOrderValue"":194.36,""lastOrderDate"":""2022-03-18"",""preferredStores"":""Mumbai, Online""},""clothingPreferences"":{""preferredStyle"":""formal"",""preferredSize"":{""tops"":""S"",""bottoms"":""M"",""shoes"":8},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""4663 Main Street"",""city"":""Los Angeles"",""state"":""CA"",""zipCode"":""13238"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""true"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
+"{""customerId"":392,""personalInfo"":{""fullName"":""Adam Miller"",""email"":""adam.miller@internalmail"",""phoneNumber"":""+1-828-825-7684"",""dateOfBirth"":""2009-01-06"",""gender"":""Non-binary""},""accountInfo"":{""accountCreated"":""2021-04-21T22:34:52Z"",""loyaltyTier"":""Silver"",""loyaltyPoints"":10575,""emailVerified"":""true"",""smsOptIn"":""true""},""purchaseHistory"":{""totalOrders"":7,""lifetimeValue"":1057.53,""averageOrderValue"":151.08,""lastOrderDate"":""2022-01-24"",""preferredStores"":""New Dehli, Online""},""clothingPreferences"":{""preferredStyle"":""athletic"",""preferredSize"":{""tops"":""M"",""bottoms"":""L"",""shoes"":8},""favoriteColors"":[""navy"",""black"",""gray"",""white""],""favoriteBrands"":[""Urban Thread"",""Classic Fit"",""Sport Elite""]},""shippingAddresses"":[{""addressId"":1,""label"":""Home"",""street"":""8699 Main Street"",""city"":""Chicago"",""state"":""IL"",""zipCode"":""89655"",""country"":""USA"",""isDefault"":""true""}],""marketingPreferences"":{""newsletterSubscribed"":""true"",""promotionalEmails"":""true"",""categories"":[""New Arrivals"",""Sale Items"",""Seasonal Collections""]}}"
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_create.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_create.sql
new file mode 100644
index 0000000..52104ea
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_create.sql
@@ -0,0 +1,595 @@
+rem
+rem Copyright (c) 2023 Oracle
+rem
+rem Permission is hereby granted, free of charge, to any person obtaining a
+rem copy of this software and associated documentation files (the "Software"),
+rem to deal in the Software without restriction, including without limitation
+rem the rights to use, copy, modify, merge, publish, distribute, sublicense,
+rem and/or sell copies of the Software, and to permit persons to whom the
+rem Software is furnished to do so, subject to the following conditions:
+rem
+rem The above copyright notice and this permission notice shall be included in
+rem all copies or substantial portions rem of the Software.
+rem
+rem THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+rem IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+rem FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+rem THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+rem LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+rem FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+rem DEALINGS IN THE SOFTWARE.
+rem
+rem NAME
+rem co_create.sql - Creates schema objects for CO (Customer Orders) schema
+rem
+rem DESCRIPTION
+rem This script creates tables, associated constraints,
+rem indexes, and comments in the CO schema.
+rem
+rem SCHEMA VERSION
+rem 21
+rem
+rem RELEASE DATE
+rem 08-FEB-2022
+rem
+rem SUPPORTED with DB VERSIONS
+rem 19c and higher
+rem
+rem MAJOR CHANGES IN THIS RELEASE
+rem
+rem
+rem SCHEMA DEPENDENCIES AND REQUIREMENTS
+rem This script is called from the co_install.sql script
+rem
+rem INSTALL INSTRUCTIONS
+rem Run the co_install.sql script to call this script
+rem
+rem --------------------------------------------------------------------------
+
+SET FEEDBACK 1
+SET NUMWIDTH 10
+SET LINESIZE 80
+SET TRIMSPOOL ON
+SET TAB OFF
+SET PAGESIZE 100
+SET ECHO OFF
+
+rem ********************************************************************
+rem Create the CUSTOMERS table to hold customer information
+
+Prompt ****** Creating CUSTOMERS table ....
+
+CREATE TABLE customers
+(
+ customer_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ email_address VARCHAR2(255 CHAR) NOT NULL,
+ full_name VARCHAR2(255 CHAR) NOT NULL
+);
+
+
+rem ********************************************************************
+rem Create the STORES table to hold store information
+
+Prompt ****** Creating STORES table ....
+
+CREATE TABLE stores
+(
+ store_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ store_name VARCHAR2(255 CHAR) NOT NULL,
+ web_address VARCHAR2(100 CHAR),
+ physical_address VARCHAR2(512 CHAR),
+ latitude NUMBER(9,6),
+ longitude NUMBER(9,6),
+ logo BLOB,
+ logo_mime_type VARCHAR2(512 CHAR),
+ logo_filename VARCHAR2(512 CHAR),
+ logo_charset VARCHAR2(512 CHAR),
+ logo_last_updated DATE
+);
+
+
+rem ********************************************************************
+rem Create the PRODUCTS table to hold product information
+
+Prompt ****** Creating PRODUCTS table ....
+
+CREATE TABLE products
+(
+ product_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ product_name VARCHAR2(255 CHAR) NOT NULL,
+ unit_price NUMBER(10,2),
+ product_details BLOB,
+ product_image BLOB,
+ image_mime_type VARCHAR2(512 CHAR),
+ image_filename VARCHAR2(512 CHAR),
+ image_charset VARCHAR2(512 CHAR),
+ image_last_updated DATE
+);
+
+rem ********************************************************************
+rem Create the ORDERS table to hold orders information
+
+Prompt ****** Creating ORDERS table ....
+
+CREATE TABLE orders
+(
+ order_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ order_tms TIMESTAMP NOT NULL,
+ customer_id INTEGER NOT NULL,
+ order_status VARCHAR2(10 CHAR) NOT NULL,
+ store_id INTEGER NOT NULL
+);
+
+rem ********************************************************************
+rem Create the SHIPMENTS table to hold shipment information
+
+Prompt ****** Creating SHIPMENTS table ....
+
+CREATE TABLE shipments
+(
+ shipment_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ store_id INTEGER NOT NULL,
+ customer_id INTEGER NOT NULL,
+ delivery_address VARCHAR2(512 CHAR) NOT NULL,
+ shipment_status VARCHAR2(100 CHAR) NOT NULL
+);
+
+rem ********************************************************************
+rem Create the ORDER_ITEMS table to hold order item information for orders
+
+Prompt ****** Creating ORDER_ITEMS table ....
+
+CREATE TABLE order_items
+(
+ order_id INTEGER NOT NULL,
+ line_item_id INTEGER NOT NULL,
+ product_id INTEGER NOT NULL,
+ unit_price NUMBER(10,2) NOT NULL,
+ quantity INTEGER NOT NULL,
+ shipment_id INTEGER
+);
+
+rem ********************************************************************
+rem Create the INVENTORY table to hold inventory information
+
+Prompt ****** Creating INVENTORY table ....
+
+CREATE TABLE inventory
+(
+ inventory_id INTEGER GENERATED BY DEFAULT ON NULL AS IDENTITY,
+ store_id INTEGER NOT NULL,
+ product_id INTEGER NOT NULL,
+ product_inventory INTEGER NOT NULL
+);
+
+rem ********************************************************************
+rem Create views
+
+Prompt ****** Create views
+
+rem ********************************************************************
+rem A view for a summary of who placed each order and what they bought
+
+CREATE OR REPLACE VIEW customer_order_products AS
+ SELECT o.order_id, o.order_tms, o.order_status,
+ c.customer_id, c.email_address, c.full_name,
+ SUM ( oi.quantity * oi.unit_price ) order_total,
+ LISTAGG (
+ p.product_name, ', '
+ ON OVERFLOW TRUNCATE '...' WITH COUNT
+ ) WITHIN GROUP ( ORDER BY oi.line_item_id ) items
+ FROM orders o
+ JOIN order_items oi
+ ON o.order_id = oi.order_id
+ JOIN customers c
+ ON o.customer_id = c.customer_id
+ JOIN products p
+ ON oi.product_id = p.product_id
+ GROUP BY o.order_id, o.order_tms, o.order_status,
+ c.customer_id, c.email_address, c.full_name;
+
+rem ********************************************************************
+rem A view for a summary of what was purchased at each location,
+rem including summaries each store, order status and overall total
+
+CREATE OR REPLACE VIEW store_orders AS
+ SELECT CASE
+ grouping_id ( store_name, order_status )
+ WHEN 1 THEN 'STORE TOTAL'
+ WHEN 2 THEN 'STATUS TOTAL'
+ WHEN 3 THEN 'GRAND TOTAL'
+ END total,
+ s.store_name,
+ COALESCE ( s.web_address, s.physical_address ) address,
+ s.latitude, s.longitude,
+ o.order_status,
+ COUNT ( DISTINCT o.order_id ) order_count,
+ SUM ( oi.quantity * oi.unit_price ) total_sales
+ FROM stores s
+ JOIN orders o
+ ON s.store_id = o.store_id
+ JOIN order_items oi
+ ON o.order_id = oi.order_id
+ GROUP BY GROUPING SETS (
+ ( s.store_name, COALESCE ( s.web_address, s.physical_address ), s.latitude, s.longitude ),
+ ( s.store_name, COALESCE ( s.web_address, s.physical_address ), s.latitude, s.longitude, o.order_status ),
+ o.order_status,
+ ()
+ );
+
+rem ********************************************************************
+rem A relational view of the reviews stored in the JSON for each product
+
+CREATE OR REPLACE VIEW product_reviews AS
+ SELECT p.product_name, r.rating,
+ ROUND (
+ AVG ( r.rating ) over (
+ PARTITION BY product_name
+ ),
+ 2
+ ) avg_rating,
+ r.review
+ FROM products p,
+ JSON_TABLE (
+ p.product_details, '$'
+ COLUMNS (
+ NESTED PATH '$.reviews[*]'
+ COLUMNS (
+ rating INTEGER PATH '$.rating',
+ review VARCHAR2(4000) PATH '$.review'
+ )
+ )
+ ) r;
+
+rem ********************************************************************
+rem A view for a summary of the total sales per product and order status
+
+CREATE OR REPLACE VIEW product_orders AS
+ SELECT p.product_name, o.order_status,
+ SUM ( oi.quantity * oi.unit_price ) total_sales,
+ COUNT (*) order_count
+ FROM orders o
+ JOIN order_items oi
+ ON o.order_id = oi.order_id
+ JOIN customers c
+ ON o.customer_id = c.customer_id
+ JOIN products p
+ ON oi.product_id = p.product_id
+ GROUP BY p.product_name, o.order_status;
+
+
+rem ********************************************************************
+rem Create indexes
+
+Prompt ****** Creating indexes ...
+
+CREATE INDEX customers_name_i ON customers ( full_name );
+CREATE INDEX orders_customer_id_i ON orders ( customer_id );
+CREATE INDEX orders_store_id_i ON orders ( store_id );
+CREATE INDEX shipments_store_id_i ON shipments ( store_id );
+CREATE INDEX shipments_customer_id_i ON shipments ( customer_id );
+CREATE INDEX order_items_shipment_id_i ON order_items ( shipment_id );
+CREATE INDEX inventory_product_id_i ON inventory ( product_id );
+
+rem ********************************************************************
+rem Create constraints
+
+Prompt ****** Adding constraints to tables ...
+
+ALTER TABLE customers ADD CONSTRAINT customers_pk PRIMARY KEY (customer_id);
+
+ALTER TABLE customers ADD CONSTRAINT customers_email_u UNIQUE (email_address);
+
+ALTER TABLE stores ADD CONSTRAINT stores_pk PRIMARY KEY (store_id);
+
+ALTER TABLE stores ADD CONSTRAINT store_name_u UNIQUE (store_name);
+
+ALTER TABLE stores ADD CONSTRAINT store_at_least_one_address_c
+ CHECK (
+ web_address IS NOT NULL or physical_address IS NOT NULL
+ );
+
+ALTER TABLE products ADD CONSTRAINT products_pk PRIMARY KEY (product_id);
+
+ALTER TABLE products ADD CONSTRAINT products_json_c
+ CHECK ( product_details is json );
+
+ALTER TABLE orders ADD CONSTRAINT orders_pk PRIMARY KEY (order_id);
+
+ALTER TABLE orders ADD CONSTRAINT orders_customer_id_fk
+ FOREIGN KEY (customer_id) REFERENCES customers (customer_id);
+
+ALTER TABLE orders ADD CONSTRAINT orders_status_c
+ CHECK ( order_status in
+ ( 'CANCELLED','COMPLETE','OPEN','PAID','REFUNDED','SHIPPED'));
+
+ALTER TABLE orders ADD CONSTRAINT orders_store_id_fk FOREIGN KEY (store_id)
+ REFERENCES stores (store_id);
+
+ALTER TABLE shipments ADD CONSTRAINT shipments_pk PRIMARY KEY (shipment_id);
+
+ALTER TABLE shipments ADD CONSTRAINT shipments_store_id_fk
+ FOREIGN KEY (store_id) REFERENCES stores (store_id);
+
+ALTER TABLE shipments ADD CONSTRAINT shipments_customer_id_fk
+ FOREIGN KEY (customer_id) REFERENCES customers (customer_id);
+
+ALTER TABLE shipments ADD CONSTRAINT shipment_status_c
+ CHECK ( shipment_status in
+ ( 'CREATED', 'SHIPPED', 'IN-TRANSIT', 'DELIVERED'));
+
+ALTER TABLE order_items ADD CONSTRAINT order_items_pk PRIMARY KEY ( order_id, line_item_id );
+
+ALTER TABLE order_items ADD CONSTRAINT order_items_order_id_fk
+ FOREIGN KEY (order_id) REFERENCES orders (order_id);
+
+ALTER TABLE order_items ADD CONSTRAINT order_items_shipment_id_fk
+ FOREIGN KEY (shipment_id) REFERENCES shipments (shipment_id);
+
+ALTER TABLE order_items ADD CONSTRAINT order_items_product_id_fk
+ FOREIGN KEY (product_id) REFERENCES products (product_id);
+
+ALTER TABLE order_items ADD CONSTRAINT order_items_product_u UNIQUE ( product_id, order_id );
+
+ALTER TABLE inventory ADD CONSTRAINT inventory_pk PRIMARY KEY (inventory_id);
+
+ALTER TABLE inventory ADD CONSTRAINT inventory_store_product_u UNIQUE (store_id, product_id);
+
+ALTER TABLE inventory ADD CONSTRAINT inventory_store_id_fk
+ FOREIGN KEY (store_id) REFERENCES stores (store_id);
+
+ALTER TABLE inventory ADD CONSTRAINT inventory_product_id_fk
+ FOREIGN KEY (product_id) REFERENCES products (product_id);
+
+rem ********************************************************************
+rem Add table column comments
+
+Prompt ****** Adding table column comments ...
+
+COMMENT ON TABLE customers
+ IS 'Details of the people placing orders';
+
+COMMENT ON COLUMN customers.customer_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN customers.email_address
+ IS 'The email address the person uses to access the account';
+
+COMMENT ON COLUMN customers.full_name
+ IS 'What this customer is called';
+
+COMMENT ON TABLE stores
+ IS 'Physical and virtual locations where people can purchase products';
+
+COMMENT ON COLUMN stores.store_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN stores.store_name
+ IS 'What the store is called';
+
+COMMENT ON COLUMN stores.web_address
+ IS 'The URL of a virtual store';
+
+COMMENT ON COLUMN stores.physical_address
+ IS 'The postal address of this location';
+
+COMMENT ON COLUMN stores.latitude
+ IS 'The north-south position of a physical store';
+
+COMMENT ON COLUMN stores.longitude
+ IS 'The east-west position of a physical store';
+
+COMMENT ON COLUMN stores.logo
+ IS 'An image used by this store';
+
+COMMENT ON COLUMN stores.logo_mime_type
+ IS 'The mime-type of the store logo';
+
+COMMENT ON COLUMN stores.logo_last_updated
+ IS 'The date the image was last changed';
+
+COMMENT ON COLUMN stores.logo_filename
+ IS 'The name of the file loaded in the image column';
+
+COMMENT ON COLUMN stores.logo_charset
+ IS 'The character set used to encode the image';
+
+COMMENT ON TABLE products
+ IS 'Details of goods that customers can purchase';
+
+COMMENT ON COLUMN products.product_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN products.unit_price
+ IS 'The monetary value of one item of this product';
+
+COMMENT ON COLUMN products.product_details
+ IS 'Further details of the product stored in JSON format';
+
+COMMENT ON COLUMN products.product_image
+ IS 'A picture of the product';
+
+COMMENT ON COLUMN products.image_mime_type
+ IS 'The mime-type of the product image';
+
+COMMENT ON COLUMN products.image_last_updated
+ IS 'The date the image was last changed';
+
+COMMENT ON COLUMN products.image_filename
+ IS 'The name of the file loaded in the image column';
+
+COMMENT ON COLUMN products.image_charset
+ IS 'The character set used to encode the image';
+
+COMMENT ON COLUMN products.product_name
+ IS 'What a product is called';
+
+COMMENT ON TABLE orders
+ IS 'Details of who made purchases where';
+
+COMMENT ON COLUMN orders.order_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN orders.order_tms
+ IS 'When the order was placed';
+
+COMMENT ON COLUMN orders.customer_id
+ IS 'Who placed this order';
+
+COMMENT ON COLUMN orders.store_id
+ IS 'Where this order was placed';
+
+COMMENT ON COLUMN orders.order_status
+ IS 'What state the order is in. Valid values are:
+OPEN - the order is in progress
+PAID - money has been received from the customer for this order
+SHIPPED - the products have been dispatched to the customer
+COMPLETE - the customer has received the order
+CANCELLED - the customer has stopped the order
+REFUNDED - there has been an issue with the order and the money has been returned to the customer';
+
+COMMENT ON TABLE order_items
+ IS 'Details of which products the customer has purchased in an order';
+
+COMMENT ON COLUMN order_items.order_id
+ IS 'The order these products belong to';
+
+COMMENT ON COLUMN order_items.line_item_id
+ IS 'An incrementing number, starting at one for each order';
+
+COMMENT ON COLUMN order_items.product_id
+ IS 'Which item was purchased';
+
+COMMENT ON COLUMN order_items.unit_price
+ IS 'How much the customer paid for one item of the product';
+
+COMMENT ON COLUMN order_items.quantity
+ IS 'How many items of this product the customer purchased';
+
+COMMENT ON COLUMN order_items.shipment_id
+ IS 'Where this product will be delivered';
+
+COMMENT ON TABLE customer_order_products
+ IS 'A summary of who placed each order and what they bought';
+
+COMMENT ON COLUMN customer_order_products.order_id
+ IS 'The primary key of the order';
+
+COMMENT ON COLUMN customer_order_products.order_tms
+ IS 'The date and time the order was placed';
+
+COMMENT ON COLUMN customer_order_products.order_status
+ IS 'The current state of this order';
+
+COMMENT ON COLUMN customer_order_products.customer_id
+ IS 'The primary key of the customer';
+
+COMMENT ON COLUMN customer_order_products.email_address
+ IS 'The email address the person uses to access the account';
+
+COMMENT ON COLUMN customer_order_products.full_name
+ IS 'What this customer is called';
+
+COMMENT ON COLUMN customer_order_products.order_total
+ IS 'The total amount the customer paid for the order';
+
+COMMENT ON COLUMN customer_order_products.items
+ IS 'A comma-separated list naming the products in this order';
+
+COMMENT ON TABLE store_orders
+ IS 'A summary of what was purchased at each location, including summaries each store, order status and overall total';
+
+COMMENT ON COLUMN store_orders.order_status
+ IS 'The current state of this order';
+
+COMMENT ON COLUMN store_orders.total
+ IS 'Indicates what type of total is displayed, including Store, Status, or Grand Totals';
+
+COMMENT ON COLUMN store_orders.store_name
+ IS 'What the store is called';
+
+COMMENT ON COLUMN store_orders.latitude
+ IS 'The north-south position of a physical store';
+
+COMMENT ON COLUMN store_orders.longitude
+ IS 'The east-west position of a physical store';
+
+COMMENT ON COLUMN store_orders.address
+ IS 'The physical or virtual location of this store';
+
+COMMENT ON COLUMN store_orders.total_sales
+ IS 'The total value of orders placed';
+
+COMMENT ON COLUMN store_orders.order_count
+ IS 'The total number of orders placed';
+
+COMMENT ON TABLE product_reviews
+ IS 'A relational view of the reviews stored in the JSON for each product';
+
+COMMENT ON COLUMN product_reviews.product_name
+ IS 'What this product is called';
+
+COMMENT ON COLUMN product_reviews.rating
+ IS 'The review score the customer has placed. Range is 1-10';
+
+COMMENT ON COLUMN product_reviews.avg_rating
+ IS 'The mean of the review scores for this product';
+
+COMMENT ON COLUMN product_reviews.review
+ IS 'The text of the review';
+
+COMMENT ON TABLE product_orders
+ IS 'A summary of the state of the orders placed for each product';
+
+COMMENT ON COLUMN product_orders.product_name
+ IS 'What this product is called';
+
+COMMENT ON COLUMN product_orders.order_status
+ IS 'The current state of these order';
+
+COMMENT ON COLUMN product_orders.total_sales
+ IS 'The total value of orders placed';
+
+COMMENT ON COLUMN product_orders.order_count
+ IS 'The total number of orders placed';
+
+COMMENT ON TABLE shipments
+ IS 'Details of where ordered goods will be delivered';
+
+COMMENT ON COLUMN shipments.shipment_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN shipments.store_id
+ IS 'Which location the goods will be transported from';
+
+COMMENT ON COLUMN shipments.customer_id
+ IS 'Who this shipment is for';
+
+COMMENT ON COLUMN shipments.delivery_address
+ IS 'Where the goods will be transported to';
+
+COMMENT ON COLUMN shipments.shipment_status
+ IS 'The current status of the shipment. Valid values are:
+CREATED - the shipment is ready for order assignment
+SHIPPED - the goods have been dispatched
+IN-TRANSIT - the goods are en-route to their destination
+DELIVERED - the good have arrived at their destination';
+
+COMMENT ON TABLE inventory
+ IS 'Details of the quantity of stock available for products at each location';
+
+COMMENT ON COLUMN inventory.inventory_id
+ IS 'Auto-incrementing primary key';
+
+COMMENT ON COLUMN inventory.store_id
+ IS 'Which location the goods are located at';
+
+COMMENT ON COLUMN inventory.product_id
+ IS 'Which item this stock is for';
+
+COMMENT ON COLUMN inventory.product_inventory
+ IS 'The current quantity in stock';
+
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_install.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_install.sql
new file mode 100644
index 0000000..272bed0
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_install.sql
@@ -0,0 +1,455 @@
+-- rem
+-- rem Copyright (c) 2023 Oracle
+-- rem
+-- rem Permission is hereby granted, free of charge, to any person obtaining a
+-- rem copy of this software and associated documentation files (the "Software"),
+-- rem to deal in the Software without restriction, including without limitation
+-- rem the rights to use, copy, modify, merge, publish, distribute, sublicense,
+-- rem and/or sell copies of the Software, and to permit persons to whom the
+-- rem Software is furnished to do so, subject to the following conditions:
+-- rem
+-- rem The above copyright notice and this permission notice shall be included in
+-- rem all copies or substantial portions rem of the Software.
+-- rem
+-- rem THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+-- rem IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+-- rem FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+-- rem THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+-- rem LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+-- rem FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+-- rem DEALINGS IN THE SOFTWARE.
+-- rem
+-- rem NAME
+-- rem co_install.sql - Main installation script for CO schema creation
+-- rem
+-- rem DESCRIPTION
+-- rem CO (Customer Orders) is a sample schema resembling a generic
+-- rem customer orders management schema.
+-- rem
+-- rem SCHEMA VERSION
+-- rem 21
+-- rem
+-- rem RELEASE DATE
+-- rem 08-FEB-2022
+-- rem
+-- rem SUPPORTED with DB VERSIONS
+-- rem 19c and higher
+-- rem
+-- rem MAJOR CHANGES IN THIS RELEASE
+-- rem new script for CO installation
+-- rem
+-- rem SCHEMA DEPENDENCIES AND REQUIREMENTS
+-- rem This script calls co_create.sql, co_populate.sql, co_code.sql
+-- rem
+-- rem INSTALL INSTRUCTIONS
+-- rem 1. Run as privileged user with rights to create another user
+-- rem (SYSTEM, ADMIN, etc.)
+-- rem 2. Run this script to create the CO (Customer Orders) schema
+-- rem 3. You are prompted for
+-- rem a. password - enter an Oracle Database compliant password
+-- rem b. tablespace - if you do not enter a tablespace, the default
+-- rem tablespace is used
+-- rem c. whether you would like to overwrite the existing schema,
+-- rem if it is already present in the database
+-- rem
+-- rem UNINSTALL INSTRUCTIONS
+-- rem If you have installed the CO sample schema, you can remove it by running
+-- rem the co_uninstall.sql script
+-- rem
+-- rem NOTES
+-- rem Run as privileged user with rights to create another user
+-- rem (SYSTEM, ADMIN, etc.)
+-- rem
+-- rem --------------------------------------------------------------------------
+
+-- SET ECHO OFF
+-- SET VERIFY OFF
+-- SET HEADING OFF
+-- SET FEEDBACK OFF
+
+-- -- Exit setup script on any error
+-- WHENEVER SQLERROR EXIT SQL.SQLCODE
+
+-- rem =======================================================
+-- rem Install descriptions
+-- rem =======================================================
+
+-- PROMPT
+-- PROMPT Thank you for installing the Oracle Customer Orders Sample Schema.
+-- PROMPT This installation script will automatically exit your database session
+-- PROMPT at the end of the installation or if any error is encountered.
+-- PROMPT The entire installation will be logged into the 'co_install.log' log file.
+-- PROMPT
+
+-- rem =======================================================
+-- rem Log installation process
+-- rem =======================================================
+
+-- SPOOL co_install.log
+
+-- rem =======================================================
+-- rem Accept and verify schema password
+-- rem =======================================================
+
+-- ACCEPT pass PROMPT 'Enter a password for the user CO: ' HIDE
+
+-- BEGIN
+-- IF '&pass' IS NULL THEN
+-- RAISE_APPLICATION_ERROR(-20999, 'Error: the CO password is mandatory! Please specify a password!');
+-- END IF;
+-- END;
+-- /
+
+-- rem =======================================================
+-- rem Accept and verify tablespace name
+-- rem =======================================================
+
+-- COLUMN property_value NEW_VALUE var_default_tablespace NOPRINT
+-- SELECT property_value FROM database_properties WHERE property_name = 'DEFAULT_PERMANENT_TABLESPACE';
+
+-- ACCEPT tbs PROMPT 'Enter a tablespace for CO [&var_default_tablespace]: ' DEFAULT '&var_default_tablespace'
+
+-- DECLARE
+-- v_tbs_exists NUMBER := 0;
+-- BEGIN
+-- SELECT COUNT(1) INTO v_tbs_exists
+-- FROM DBA_TABLESPACES
+-- WHERE TABLESPACE_NAME = UPPER('&tbs');
+-- IF v_tbs_exists = 0 THEN
+-- RAISE_APPLICATION_ERROR(-20998, 'Error: the tablespace ''' || UPPER('&tbs') || ''' does not exist!');
+-- END IF;
+-- END;
+-- /
+
+-- rem =======================================================
+-- rem cleanup old CO schema, if found and requested
+-- rem =======================================================
+
+-- ACCEPT overwrite_schema PROMPT 'Do you want to overwrite the schema, if it already exists? [YES|no]: ' DEFAULT 'YES'
+
+-- SET SERVEROUTPUT ON;
+-- DECLARE
+-- v_user_exists all_users.username%TYPE;
+-- BEGIN
+-- SELECT MAX(username) INTO v_user_exists
+-- FROM all_users WHERE username = 'CO';
+-- -- Schema already exists
+-- IF v_user_exists IS NOT NULL THEN
+-- -- Overwrite schema if the user chose to do so
+-- IF UPPER('&overwrite_schema') = 'YES' THEN
+-- EXECUTE IMMEDIATE 'DROP USER CO CASCADE';
+-- DBMS_OUTPUT.PUT_LINE('Old CO schema has been dropped.');
+-- -- or raise error if the user doesn't want to overwrite it
+-- ELSE
+-- RAISE_APPLICATION_ERROR(-20997, 'Abort: the schema already exists and the user chose not to overwrite it.');
+-- END IF;
+-- END IF;
+-- END;
+-- /
+-- SET SERVEROUTPUT OFF;
+
+-- rem =======================================================
+-- rem create the CO schema user
+-- rem =======================================================
+
+-- CREATE USER co IDENTIFIED BY "&pass"
+-- DEFAULT TABLESPACE &tbs
+-- QUOTA UNLIMITED ON &tbs;
+
+-- GRANT CREATE MATERIALIZED VIEW,
+-- CREATE PROCEDURE,
+-- CREATE SEQUENCE,
+-- CREATE SESSION,
+-- CREATE SYNONYM,
+-- CREATE TABLE,
+-- CREATE TRIGGER,
+-- CREATE TYPE,
+-- CREATE VIEW
+-- TO co;
+
+-- ALTER SESSION SET CURRENT_SCHEMA=CO;
+-- ALTER SESSION SET NLS_LANGUAGE=American;
+-- ALTER SESSION SET NLS_TERRITORY=America;
+
+-- rem =======================================================
+-- rem create CO schema objects
+-- rem =======================================================
+
+-- @@co_create.sql
+
+-- rem =======================================================
+-- rem populate tables with data
+-- rem =======================================================
+
+-- @@co_populate.sql
+
+-- rem =======================================================
+-- rem installation validation
+-- rem =======================================================
+
+-- SET HEADING ON
+-- rem reactivated by sub-scripts, turn it off again.
+-- SET FEEDBACK OFF
+
+-- SELECT 'Verification:' AS "Installation verification" FROM dual;
+
+-- SELECT 'customers' AS "Table", 392 AS "provided", count(1) AS "actual" FROM co.customers
+-- UNION ALL
+-- SELECT 'stores' AS "Table", 23 AS "provided", count(1) AS "actual" FROM co.stores
+-- UNION ALL
+-- SELECT 'products' AS "Table", 46 AS "provided", count(1) AS "actual" FROM co.products
+-- UNION ALL
+-- SELECT 'orders' AS "Table", 1950 AS "provided", count(1) AS "actual" FROM co.orders
+-- UNION ALL
+-- SELECT 'shipments' AS "Table", 1892 AS "provided", count(1) AS "actual" FROM co.shipments
+-- UNION ALL
+-- SELECT 'order_items' AS "Table", 3914 AS "provided", count(1) AS "actual" FROM co.order_items
+-- UNION ALL
+-- SELECT 'inventory' AS "Table", 566 AS "provided", count(1) AS "actual" FROM co.inventory;
+
+-- rem
+-- rem Installation finish text.
+-- rem
+-- rem the SELECT '' FROM DUAL statements serve to print new lines
+-- rem and make the output more readable.
+-- rem
+
+-- SELECT 'The installation of the sample schema is now finished.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'Please check the installation verification output above.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'You will now be disconnected from the database.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'Thank you for using Oracle Database!' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual;
+
+-- rem stop writing to the log file
+-- spool off
+
+-- rem
+-- rem Exit from the session.
+-- rem Use 'exit' and not 'disconnect' to keep behavior the same for when errors occur.
+-- rem
+-- -- exit
+
+
+
+--- modified v1.0:
+
+-- rem
+-- rem Copyright (c) 2023 Oracle
+-- rem (restul header-ului poate rămâne neschimbat)
+-- rem --------------------------------------------------------------------------
+
+-- SET ECHO OFF
+-- SET VERIFY OFF
+-- SET HEADING OFF
+-- SET FEEDBACK OFF
+
+-- -- Exit setup script on any error
+-- WHENEVER SQLERROR EXIT SQL.SQLCODE
+
+-- rem =======================================================
+-- rem Install descriptions
+-- rem =======================================================
+
+-- PROMPT
+-- PROMPT Thank you for installing the Oracle Customer Orders Sample Schema.
+-- PROMPT This installation script will automatically exit your database session
+-- PROMPT at the end of the installation or if any error is encountered.
+-- PROMPT The entire installation will be logged into the 'co_install.log' log file.
+-- PROMPT
+
+-- rem =======================================================
+-- rem Log installation process
+-- rem =======================================================
+
+-- SPOOL co_install.log
+
+-- rem =======================================================
+-- rem Defaults (no prompts)
+-- rem =======================================================
+
+-- DEFINE pass = "AaBbCcDdEe123#"
+
+-- rem =======================================================
+-- rem Stop if CO schema already exists (no overwrite)
+-- rem =======================================================
+
+-- SET SERVEROUTPUT ON;
+-- DECLARE
+-- v_user_exists all_users.username%TYPE;
+-- BEGIN
+-- SELECT MAX(username) INTO v_user_exists
+-- FROM all_users
+-- WHERE username = 'CO';
+
+-- IF v_user_exists IS NOT NULL THEN
+-- RAISE_APPLICATION_ERROR(-20997, 'Abort: schema CO already exists. (Overwrite disabled in this script.)');
+-- END IF;
+-- END;
+-- /
+-- SET SERVEROUTPUT OFF;
+
+-- rem =======================================================
+-- rem create the CO schema user (tablespace left as default)
+-- rem =======================================================
+
+-- CREATE USER co IDENTIFIED BY &pass;
+
+-- GRANT CREATE MATERIALIZED VIEW,
+-- CREATE PROCEDURE,
+-- CREATE SEQUENCE,
+-- CREATE SESSION,
+-- CREATE SYNONYM,
+-- CREATE TABLE,
+-- CREATE TRIGGER,
+-- CREATE TYPE,
+-- CREATE VIEW
+-- TO co;
+
+-- ALTER SESSION SET CURRENT_SCHEMA=CO;
+-- ALTER SESSION SET NLS_LANGUAGE=American;
+-- ALTER SESSION SET NLS_TERRITORY=America;
+
+-- rem =======================================================
+-- rem create CO schema objects
+-- rem =======================================================
+
+-- @@co_create.sql
+
+-- rem =======================================================
+-- rem populate tables with data
+-- rem =======================================================
+
+-- @@co_populate.sql
+
+-- rem =======================================================
+-- rem installation validation
+-- rem =======================================================
+
+-- SET HEADING ON
+-- rem reactivated by sub-scripts, turn it off again.
+-- SET FEEDBACK OFF
+
+-- SELECT 'Verification:' AS "Installation verification" FROM dual;
+
+-- SELECT 'customers' AS "Table", 392 AS "provided", count(1) AS "actual" FROM co.customers
+-- UNION ALL
+-- SELECT 'stores' AS "Table", 23 AS "provided", count(1) AS "actual" FROM co.stores
+-- UNION ALL
+-- SELECT 'products' AS "Table", 46 AS "provided", count(1) AS "actual" FROM co.products
+-- UNION ALL
+-- SELECT 'orders' AS "Table", 1950 AS "provided", count(1) AS "actual" FROM co.orders
+-- UNION ALL
+-- SELECT 'shipments' AS "Table", 1892 AS "provided", count(1) AS "actual" FROM co.shipments
+-- UNION ALL
+-- SELECT 'order_items' AS "Table", 3914 AS "provided", count(1) AS "actual" FROM co.order_items
+-- UNION ALL
+-- SELECT 'inventory' AS "Table", 566 AS "provided", count(1) AS "actual" FROM co.inventory;
+
+-- SELECT 'The installation of the sample schema is now finished.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'Please check the installation verification output above.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'You will now be disconnected from the database.' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT 'Thank you for using Oracle Database!' AS "Thank you!"
+-- FROM dual
+-- UNION ALL
+-- SELECT '' AS "Thank you!"
+-- FROM dual;
+
+-- spool off
+
+
+
+
+
+
+
+--- modified v2.0:
+
+
+
+rem --------------------------------------------------------------------------
+rem CO install - ONLY create user CO (no object creation, no data load)
+rem Run this as ADMIN/SYSTEM
+rem --------------------------------------------------------------------------
+
+SET ECHO OFF
+SET VERIFY OFF
+SET HEADING OFF
+SET FEEDBACK OFF
+
+WHENEVER SQLERROR EXIT SQL.SQLCODE
+
+SPOOL co_install.log
+
+DEFINE pass = "AaBbCcDdEe123#"
+
+rem Stop if CO schema already exists (no overwrite)
+SET SERVEROUTPUT ON;
+DECLARE
+ v_user_exists all_users.username%TYPE;
+BEGIN
+ SELECT MAX(username) INTO v_user_exists
+ FROM all_users
+ WHERE username = 'CO';
+
+ IF v_user_exists IS NOT NULL THEN
+ RAISE_APPLICATION_ERROR(-20997, 'Abort: schema CO already exists. (Overwrite disabled.)');
+ END IF;
+END;
+/
+SET SERVEROUTPUT OFF;
+
+rem Get default permanent tablespace (so we can set quota safely)
+COLUMN property_value NEW_VALUE var_default_tablespace NOPRINT
+SELECT property_value
+ FROM database_properties
+ WHERE property_name = 'DEFAULT_PERMANENT_TABLESPACE';
+
+CREATE USER co IDENTIFIED BY &pass;
+
+ALTER USER co QUOTA UNLIMITED ON &var_default_tablespace;
+
+GRANT CREATE MATERIALIZED VIEW,
+ CREATE PROCEDURE,
+ CREATE SEQUENCE,
+ CREATE SESSION,
+ CREATE SYNONYM,
+ CREATE TABLE,
+ CREATE TRIGGER,
+ CREATE TYPE,
+ CREATE VIEW
+ TO co;
+
+PROMPT
+PROMPT User CO created. Now connect as CO and run co_create.sql and co_populate.sql separately.
+PROMPT
+
+SPOOL OFF
+EXIT;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_populate.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_populate.sql
new file mode 100644
index 0000000..eea74d3
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/co_populate.sql
@@ -0,0 +1,8985 @@
+rem
+rem Copyright (c) 2023 Oracle
+rem
+rem Permission is hereby granted, free of charge, to any person obtaining a
+rem copy of this software and associated documentation files (the "Software"),
+rem to deal in the Software without restriction, including without limitation
+rem the rights to use, copy, modify, merge, publish, distribute, sublicense,
+rem and/or sell copies of the Software, and to permit persons to whom the
+rem Software is furnished to do so, subject to the following conditions:
+rem
+rem The above copyright notice and this permission notice shall be included in
+rem all copies or substantial portions rem of the Software.
+rem
+rem THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+rem IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+rem FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+rem THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+rem LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+rem OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+rem SOFTWARE.
+rem
+rem NAME
+rem co_populate.sql - populates the CO (Customer Orders) tables with data
+rem
+rem DESCRIPTION
+rem This script populates the CO tables with rows of data
+rem
+rem SCHEMA VERSION
+rem 21
+rem
+rem RELEASE DATE
+rem 08-FEB-2022
+rem
+rem SUPPORTED with DB VERSIONS
+rem 19c and higher
+rem
+rem MAJOR CHANGES IN THIS RELEASE
+rem
+rem
+rem SCHEMA DEPENDENCIES AND REQUIREMENTS
+rem This script is called from the co_install.sql script
+rem
+rem INSTALL INSTRUCTIONS
+rem Run the co_install.sql script to call this script
+rem
+rem NOTES
+rem tbd
+rem
+rem --------------------------------------------------------------------------
+
+
+SET VERIFY OFF
+SET DEFINE OFF
+ALTER SESSION SET NLS_LANGUAGE=American;
+
+REM *************************** insert data into the CUSTOMERS table
+
+Prompt ****** Populating CUSTOMERS table ....
+
+BEGIN
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (1,'tammy.bryant@internalmail','Tammy Bryant');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (2,'roy.white@internalmail','Roy White');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (3,'gary.jenkins@internalmail','Gary Jenkins');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (4,'victor.morris@internalmail','Victor Morris');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (5,'beverly.hughes@internalmail','Beverly Hughes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (6,'evelyn.torres@internalmail','Evelyn Torres');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (7,'carl.lee@internalmail','Carl Lee');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (8,'douglas.flores@internalmail','Douglas Flores');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (9,'norma.robinson@internalmail','Norma Robinson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (10,'gregory.sanchez@internalmail','Gregory Sanchez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (11,'judy.evans@internalmail','Judy Evans');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (12,'jean.patterson@internalmail','Jean Patterson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (13,'michelle.ramirez@internalmail','Michelle Ramirez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (14,'elizabeth.martinez@internalmail','Elizabeth Martinez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (15,'walter.rogers@internalmail','Walter Rogers');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (16,'ralph.foster@internalmail','Ralph Foster');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (17,'tina.simmons@internalmail','Tina Simmons');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (18,'peter.jones@internalmail','Peter Jones');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (19,'kathryn.rogers@internalmail','Kathryn Rogers');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (20,'dennis.lopez@internalmail','Dennis Lopez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (21,'martha.baker@internalmail','Martha Baker');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (22,'raymond.bailey@internalmail','Raymond Bailey');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (23,'christopher.allen@internalmail','Christopher Allen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (24,'jonathan.coleman@internalmail','Jonathan Coleman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (25,'walter.turner@internalmail','Walter Turner');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (26,'anna.murphy@internalmail','Anna Murphy');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (27,'carol.alexander@internalmail','Carol Alexander');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (28,'teresa.brown@internalmail','Teresa Brown');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (29,'beverly.rivera@internalmail','Beverly Rivera');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (30,'lisa.hughes@internalmail','Lisa Hughes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (31,'deborah.taylor@internalmail','Deborah Taylor');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (32,'cheryl.young@internalmail','Cheryl Young');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (33,'carolyn.wood@internalmail','Carolyn Wood');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (34,'patricia.robinson@internalmail','Patricia Robinson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (35,'joshua.nelson@internalmail','Joshua Nelson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (36,'mary.barnes@internalmail','Mary Barnes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (37,'sandra.bennett@internalmail','Sandra Bennett');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (38,'jack.brooks@internalmail','Jack Brooks');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (39,'harry.powell@internalmail','Harry Powell');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (40,'ernest.foster@internalmail','Ernest Foster');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (41,'jeremy.howard@internalmail','Jeremy Howard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (42,'adam.walker@internalmail','Adam Walker');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (43,'michael.marker@internalmail','Michael Marker');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (44,'kris.krill@internalmail','Kris Krill');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (45,'fred.fontain@internalmail','Fred Fontain');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (46,'alwin.elliott@internalmail','Alwin Elliott');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (47,'finian.park@internalmail','Finian Park');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (48,'florencia.hopkins@internalmail','Florencia Hopkins');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (49,'kaija.crawford@internalmail','Kaija Crawford');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (50,'kimiko.brien@internalmail','Kimiko Brien');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (51,'michael.harris@internalmail','Michael Harris');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (52,'lola.whitley@internalmail','Lola Whitley');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (53,'witney.rockwell@internalmail','Witney Rockwell');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (54,'kellan.ye@internalmail','Kellan Ye');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (55,'michael.kim@internalmail','Michael Kim');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (56,'tamika.hu@internalmail','Tamika Hu');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (57,'michael.smith@internalmail','Michael Smith');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (58,'shamira.jones@internalmail','Shamira Jones');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (59,'debbie.sawbridge@internalmail','Debbie Sawbridge');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (60,'clair.maldonado@internalmail','Clair Maldonado');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (61,'pedro.aenlo@internalmail','Pedro Aenlo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (62,'nus.biollix@internalmail','Nus Biollix');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (63,'eva.ogatius@internalmail','Eva Ogatius');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (64,'harriet.auxus@internalmail','Harriet Auxus');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (65,'domingo.morano@internalmail','Domingo Morano');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (66,'john.venzl@internalmail','John Venzl');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (67,'roberto.sipaia@internalmail','Roberto Sipaia');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (68,'emilio.sessaia@internalmail','Emilio Sessaia');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (69,'felix.auvacia@internalmail','Felix Auvacia');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (70,'santiago.vautus@internalmail','Santiago Vautus');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (71,'eduardo.flignia@internalmail','Eduardo Flignia');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (72,'raul.haelfeius@internalmail','Raul Haelfeius');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (73,'carlos.maza@internalmail','Carlos Maza');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (74,'alex.loera@internalmail','Alex Loera');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (75,'oscar.moye@internalmail','Oscar Moye');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (76,'daniella.almonte@internalmail','Daniella Almonte');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (77,'paz.montilla@internalmail','Paz Montilla');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (78,'gricelda.luebbers@internalmail','Gricelda Luebbers');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (79,'dean.bollich@internalmail','Dean Bollich');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (80,'milo.manoni@internalmail','Milo Manoni');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (81,'laurice.karl@internalmail','Laurice Karl');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (82,'august.rupel@internalmail','August Rupel');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (83,'salome.guisti@internalmail','Salome Guisti');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (84,'lovie.ritacco@internalmail','Lovie Ritacco');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (85,'chaya.greczkowski@internalmail','Chaya Greczkowski');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (86,'twila.coolbeth@internalmail','Twila Coolbeth');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (87,'carlotta.achenbach@internalmail','Carlotta Achenbach');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (88,'jeraldine.audet@internalmail','Jeraldine Audet');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (89,'august.arouri@internalmail','August Arouri');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (90,'ward.stepney@internalmail','Ward Stepney');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (91,'ayana.barkhurst@internalmail','Ayana Barkhurst');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (92,'luana.berends@internalmail','Luana Berends');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (93,'lecia.alvino@internalmail','Lecia Alvino');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (94,'joleen.himmelmann@internalmail','Joleen Himmelmann');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (95,'monty.kinnamon@internalmail','Monty Kinnamon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (96,'dania.grizzard@internalmail','Dania Grizzard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (97,'inez.yamnitz@internalmail','Inez Yamnitz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (98,'fidel.creps@internalmail','Fidel Creps');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (99,'luis.pothoven@internalmail','Luis Pothoven');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (100,'bernardo.phoenix@internalmail','Bernardo Phoenix');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (101,'carolyne.centore@internalmail','Carolyne Centore');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (102,'cornell.pratico@internalmail','Cornell Pratico');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (103,'sam.rueb@internalmail','Sam Rueb');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (104,'shakita.sablock@internalmail','Shakita Sablock');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (105,'sandy.heffren@internalmail','Sandy Heffren');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (106,'tressa.coppens@internalmail','Tressa Coppens');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (107,'shira.arocho@internalmail','Shira Arocho');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (108,'carter.sacarello@internalmail','Carter Sacarello');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (109,'linda.merida@internalmail','Linda Merida');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (110,'winfred.sohn@internalmail','Winfred Sohn');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (111,'nestor.caparros@internalmail','Nestor Caparros');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (112,'brooks.craker@internalmail','Brooks Craker');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (113,'ruthann.nixa@internalmail','Ruthann Nixa');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (114,'kenny.campobasso@internalmail','Kenny Campobasso');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (115,'hildred.donnel@internalmail','Hildred Donnel');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (116,'luther.ardinger@internalmail','Luther Ardinger');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (117,'rhoda.hasfjord@internalmail','Rhoda Hasfjord');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (118,'cori.ablin@internalmail','Cori Ablin');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (119,'reinaldo.feltner@internalmail','Reinaldo Feltner');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (120,'coralee.acerno@internalmail','Coralee Acerno');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (121,'katherine.tagg@internalmail','Katherine Tagg');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (122,'lenore.sullivan@internalmail','Lenore Sullivan');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (123,'erda.sheer@internalmail','erda Sheer');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (124,'pete.chevis@internalmail','Pete Chevis');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (125,'joseph.wilke@internalmail','Joseph Wilke');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (126,'nella.rupnick@internalmail','Nella Rupnick');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (127,'azalee.goodwater@internalmail','Azalee Goodwater');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (128,'stefany.waninger@internalmail','Stefany Waninger');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (129,'arron.waclawski@internalmail','Arron Waclawski');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (130,'boyd.rearden@internalmail','Boyd Rearden');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (131,'erasmo.riviera@internalmail','Erasmo Riviera');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (132,'ambrose.hiday@internalmail','Ambrose Hiday');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (133,'horacio.rainbolt@internalmail','Horacio Rainbolt');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (134,'taylor.cauchon@internalmail','Taylor Cauchon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (135,'marc.domanski@internalmail','Marc Domanski');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (136,'kaylene.lusco@internalmail','Kaylene Lusco');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (137,'norris.michener@internalmail','Norris Michener');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (138,'rob.kempt@internalmail','Rob Kempt');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (139,'elaine.moncure@internalmail','Elaine Moncure');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (140,'joshua.disano@internalmail','Joshua Disano');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (141,'lai.kurtich@internalmail','Lai Kurtich');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (142,'lucas.summerill@internalmail','Lucas Summerill');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (143,'vincent.hibberd@internalmail','Vincent Hibberd');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (144,'sharla.topper@internalmail','Sharla Topper');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (145,'andrew.schieferstein@internalmail','Andrew Schieferstein');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (146,'rey.wada@internalmail','Rey Wada');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (147,'jonell.pecatoste@internalmail','Jonell Pecatoste');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (148,'kurtis.parham@internalmail','Kurtis Parham');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (149,'quinn.yerdon@internalmail','Quinn Yerdon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (150,'meg.vetterkind@internalmail','Meg Vetterkind');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (151,'alex.binette@internalmail','Alex Binette');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (152,'ali.brengle@internalmail','Ali Brengle');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (153,'jaimee.gammons@internalmail','Jaimee Gammons');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (154,'alva.halajian@internalmail','Alva Halajian');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (155,'latoria.siprasoeuth@internalmail','Latoria Siprasoeuth');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (156,'merlyn.summerford@internalmail','Merlyn Summerford');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (157,'nelson.koschnitzki@internalmail','Nelson Koschnitzki');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (158,'adeline.iannotti@internalmail','Adeline Iannotti');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (159,'saul.mokry@internalmail','Saul Mokry');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (160,'laveta.wida@internalmail','Laveta Wida');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (161,'dexter.petiet@internalmail','Dexter Petiet');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (162,'chet.morano@internalmail','Chet Morano');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (163,'jannie.thibideau@internalmail','Jannie Thibideau');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (164,'janey.fornell@internalmail','Janey Fornell');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (165,'gerda.bartha@internalmail','Gerda Bartha');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (166,'kristina.livshits@internalmail','Kristina Livshits');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (167,'matilda.toedebusch@internalmail','Matilda Toedebusch');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (168,'ami.dardar@internalmail','Ami Dardar');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (169,'desmond.lifschitz@internalmail','Desmond Lifschitz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (170,'marco.slivka@internalmail','Marco Slivka');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (171,'danica.riogas@internalmail','Danica Riogas');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (172,'cathey.salen@internalmail','Cathey Salen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (173,'tabetha.florentino@internalmail','Tabetha Florentino');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (174,'daisy.liddicoat@internalmail','Daisy Liddicoat');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (175,'jacklyn.niskala@internalmail','Jacklyn Niskala');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (176,'herb.tammen@internalmail','Herb Tammen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (177,'verlie.ashland@internalmail','Verlie Ashland');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (178,'jacklyn.clippard@internalmail','Jacklyn Clippard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (179,'verlie.bekerman@internalmail','Verlie Bekerman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (180,'teisha.grimstead@internalmail','Teisha Grimstead');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (181,'scotty.goffredo@internalmail','Scotty Goffredo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (182,'nelson.golz@internalmail','Nelson Golz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (183,'jewel.clippard@internalmail','Jewel Clippard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (184,'rudolph.bekerman@internalmail','Rudolph Bekerman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (185,'laurice.grimstead@internalmail','Laurice Grimstead');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (186,'laurice.goffredo@internalmail','Laurice Goffredo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (187,'scotty.r.goffredo@internalmail','Scotty R Goffredo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (188,'emmett.golz@internalmail','Emmett Golz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (189,'norman.lobregat@internalmail','Norman Lobregat');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (190,'tim.blasingim@internalmail','Tim Blasingim');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (191,'brandy.genco@internalmail','Brandy Genco');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (192,'jewel.pedroncelli@internalmail','Jewel Pedroncelli');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (193,'verda.puchalla@internalmail','Verda Puchalla');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (194,'norman.s.lobregat@internalmail','Norman Simon Lobregat');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (195,'tim.d.blasingim@internalmail','Tim Dominic Blasingim');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (196,'tim.genco@internalmail','Tim Genco');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (197,'hung.pedroncelli@internalmail','Hung Pedroncelli');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (198,'loyd.puchalla@internalmail','Loyd Puchalla');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (199,'eustolia.temores@internalmail','Eustolia Temores');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (200,'jessika.doorn@internalmail','Jessika Doorn');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (201,'marvis.chou@internalmail','Marvis Chou');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (202,'loyd.huckeba@internalmail','Loyd Huckeba');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (203,'leon.schoepfer@internalmail','Leon Schoepfer');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (204,'luigi.nored@internalmail','Luigi Nored');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (205,'thaddeus.geneseo@internalmail','Thaddeus Geneseo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (206,'casey.chestand@internalmail','Casey Chestand');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (207,'pete.carvallo@internalmail','Pete Carvallo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (208,'angel.sakoda@internalmail','Angel Sakoda');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (209,'donnell.huttle@internalmail','Donnell Huttle');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (210,'tyler.curlee@internalmail','Tyler Curlee');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (211,'markita.larner@internalmail','Markita Larner');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (212,'chante.parez@internalmail','Chante Parez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (213,'alvin.gagner@internalmail','Alvin Gagner');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (214,'richard.howard@internalmail','Richard Howard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (215,'donna.foster@internalmail','Donna Foster');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (216,'ruth.robinson@internalmail','Ruth Robinson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (217,'william.diaz@internalmail','William Diaz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (218,'susan.jenkins@internalmail','Susan Jenkins');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (219,'carol.barnes@internalmail','Carol Barnes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (220,'sarah.murphy@internalmail','Sarah Murphy');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (221,'dorothy.gray@internalmail','Dorothy Gray');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (222,'ruth.graham@internalmail','Ruth Graham');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (223,'robert.west@internalmail','Robert West');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (224,'carol.metrick@internalmail','Carol Metrick');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (225,'li.robleto@internalmail','Li Robleto');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (226,'bert.takes@internalmail','Bert Takes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (227,'son.mclagan@internalmail','Son McLagan');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (228,'van.seaforth@internalmail','Van Seaforth');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (229,'florance.bateman@internalmail','Florance Bateman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (230,'bridgette.crevier@internalmail','Bridgette Crevier');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (231,'murray.vicario@internalmail','Murray Vicario');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (232,'loris.thibadeau@internalmail','Loris Thibadeau');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (233,'lakia.fitzen@internalmail','Lakia Fitzen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (234,'angelo.carreon@internalmail','Angelo Carreon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (235,'collene.guderjahn@internalmail','Collene Guderjahn');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (236,'trenton.stoermer@internalmail','Trenton Stoermer');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (237,'barry.tolliver@internalmail','Barry Tolliver');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (238,'lloyd.shackley@internalmail','Lloyd Shackley');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (239,'luciano.lingenfelter@internalmail','Luciano Lingenfelter');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (240,'edmund.hikel@internalmail','Edmund Hikel');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (241,'jolene.johannesen@internalmail','Jolene Johannesen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (242,'raymon.survant@internalmail','Raymon Survant');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (243,'reyes.paczkowski@internalmail','Reyes Paczkowski');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (244,'freddie.kirkhart@internalmail','Freddie Kirkhart');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (245,'jamison.scrobola@internalmail','Jamison Scrobola');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (246,'rasheeda.teegarden@internalmail','Rasheeda Teegarden');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (247,'haywood.burd@internalmail','Haywood Burd');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (248,'eldon.lannon@internalmail','Eldon Lannon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (249,'marissa.pontius@internalmail','Marissa Pontius');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (250,'otha.murton@internalmail','Otha Murton');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (251,'dannie.mccoin@internalmail','Dannie McCoin');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (252,'trey.gorham@internalmail','Trey Gorham');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (253,'nanci.bunt@internalmail','Nanci Bunt');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (254,'will.parliman@internalmail','Will Parliman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (255,'justin.dorff@internalmail','Justin Dorff');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (256,'wyatt.tschache@internalmail','Wyatt Tschache');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (257,'chong.carpinelli@internalmail','Chong Carpinelli');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (258,'adan.lamica@internalmail','Adan Lamica');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (259,'beckie.lagrenade@internalmail','Beckie Lagrenade');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (260,'jacques.bartash@internalmail','Jacques Bartash');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (261,'buster.landin@internalmail','Buster Landin');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (262,'kendrick.mcmurtrey@internalmail','Kendrick McMurtrey');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (263,'jerrell.kereluk@internalmail','Jerrell Kereluk');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (264,'monroe.braylock@internalmail','Monroe Braylock');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (265,'anderson.keaffaber@internalmail','Anderson Keaffaber');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (266,'love.whistlehunt@internalmail','Love Whistlehunt');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (267,'petrina.gummo@internalmail','Petrina Gummo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (268,'jeremiah.nuanes@internalmail','Jeremiah Nuanes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (269,'shon.capetl@internalmail','Shon Capetl');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (270,'chasidy.fetui@internalmail','Chasidy Fetui');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (271,'dorsey.arking@internalmail','Dorsey Arking');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (272,'dagny.bumatay@internalmail','Dagny Bumatay');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (273,'elden.arancibia@internalmail','Elden Arancibia');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (274,'broderick.dourado@internalmail','Broderick Dourado');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (275,'elden.bufton@internalmail','Elden Bufton');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (276,'chassidy.hinderaker@internalmail','Chassidy Hinderaker');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (277,'broderick.faur@internalmail','Broderick Faur');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (278,'jewel.ginnery@internalmail','Jewel Ginnery');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (279,'james.williams@internalmail','James Williams');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (280,'james.wilson@internalmail','James Wilson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (281,'mary.wilson@internalmail','Mary Wilson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (282,'patricia.wilson@internalmail','Patricia Wilson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (283,'james.smith@internalmail','James Smith');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (284,'zavert.zimmer@internalmail','Zavert Zimmer');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (285,'albert.altmeer@internalmail','Albert Altmeer');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (286,'wilfred.welch@internalmail','Wilfred Welch');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (287,'kristina.nunez@internalmail','Kristina Nunez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (288,'mable.ballard@internalmail','Mable Ballard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (289,'diane.wilkerson@internalmail','Diane Wilkerson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (290,'sheryl.banks@internalmail','Sheryl Banks');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (291,'opal.cruz@internalmail','Opal Cruz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (292,'dale.hughes@internalmail','Dale Hughes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (293,'diana.fowler@internalmail','Diana Fowler');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (294,'travis.schwartz@internalmail','Travis Schwartz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (295,'anthony.boone@internalmail','Anthony Boone');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (296,'tim.harmon@internalmail','Tim Harmon');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (297,'kristin.brooks@internalmail','Kristin Brooks');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (298,'kathy.dennis@internalmail','Kathy Dennis');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (299,'vickie.james@internalmail','Vickie James');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (300,'sandra.bass@internalmail','Sandra Bass');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (301,'nelson.tate@internalmail','Nelson Tate');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (302,'tiffany.pena@internalmail','Tiffany Pena');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (303,'jeannette.hunt@internalmail','Jeannette Hunt');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (304,'willie.cunningham@internalmail','Willie Cunningham');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (305,'paulette.byrd@internalmail','Paulette Byrd');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (306,'tasha.cobb@internalmail','Tasha Cobb');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (307,'eloise.burton@internalmail','Eloise Burton');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (308,'felix.fox@internalmail','Felix Fox');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (309,'gary.barton@internalmail','Gary Barton');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (310,'tracy.mcbride@internalmail','Tracy Mcbride');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (311,'lorita.koenig@internalmail','Lorita Koenig');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (312,'kaleigh.meade@internalmail','Kaleigh Meade');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (313,'lexie.magee@internalmail','Lexie Magee');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (314,'landon.neville@internalmail','Landon Neville');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (315,'lillia.talbott@internalmail','Lillia Talbott');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (316,'dinah.paredes@internalmail','Dinah Paredes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (317,'mercy.whiting@internalmail','Mercy Whiting');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (318,'thomas.huddleston@internalmail','Thomas Huddleston');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (319,'rubi.carlisle@internalmail','Rubi Carlisle');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (320,'vivien.cameron@internalmail','Vivien Cameron');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (321,'maia.leggett@internalmail','Maia Leggett');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (322,'florencia.kohler@internalmail','Florencia Kohler');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (323,'lucila.heck@internalmail','Lucila Heck');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (324,'kendrick.caraballo@internalmail','Kendrick Caraballo');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (325,'annemarie.pinckney@internalmail','Annemarie Pinckney');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (326,'carmella.avalos@internalmail','Carmella Avalos');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (327,'jules.ruffin@internalmail','Jules Ruffin');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (328,'tish.stapleton@internalmail','Tish Stapleton');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (329,'elin.seidel@internalmail','Elin Seidel');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (330,'shawn.sorenson@internalmail','Shawn Sorenson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (331,'winfred.august@internalmail','Winfred August');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (332,'virgie.breeden@internalmail','Virgie Breeden');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (333,'ericka.oconner@internalmail','Ericka Oconner');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (334,'cheree.kemp@internalmail','Cheree Kemp');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (335,'rayford.salley@internalmail','Rayford Salley');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (336,'zulma.olds@internalmail','Zulma Olds');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (337,'salena.wadsworth@internalmail','Salena Wadsworth');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (338,'mohammad.cervantes@internalmail','Mohammad Cervantes');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (339,'tanja.vanover@internalmail','Tanja Vanover');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (340,'lonnie.colby@internalmail','Lonnie Colby');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (341,'monte.calloway@internalmail','Monte Calloway');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (342,'melisa.banda@internalmail','Melisa Banda');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (343,'gisela.costello@internalmail','Gisela Costello');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (344,'libby.krauss@internalmail','Libby Krauss');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (345,'mireille.pauley@internalmail','Mireille Pauley');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (346,'hassie.grogan@internalmail','Hassie Grogan');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (347,'chi.mcwhorter@internalmail','Chi Mcwhorter');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (348,'connie.delagarza@internalmail','Connie Delagarza');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (349,'britney.gable@internalmail','Britney Gable');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (350,'lorilee.bautista@internalmail','Lorilee Bautista');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (351,'anisa.kurtz@internalmail','Anisa Kurtz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (352,'maryalice.evers@internalmail','Maryalice Evers');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (353,'andria.myles@internalmail','Andria Myles');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (354,'dede.bundy@internalmail','Dede Bundy');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (355,'twila.hilliard@internalmail','Twila Hilliard');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (356,'gene.mcginnis@internalmail','Gene Mcginnis');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (357,'shaquana.carney@internalmail','Shaquana Carney');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (358,'gita.dobbs@internalmail','Gita Dobbs');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (359,'dorathy.hutchings@internalmail','Dorathy Hutchings');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (360,'shirley.ward@internalmail','Shirley Ward');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (361,'frank.perez@internalmail','Frank Perez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (362,'barbara.allen@internalmail','Barbara Allen');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (363,'justin.king@internalmail','Justin King');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (364,'harold.griffin@internalmail','Harold Griffin');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (365,'jeffrey.coleman@internalmail','Jeffrey Coleman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (366,'margaret.bennett@internalmail','Margaret Bennett');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (367,'cheryl.phillips@internalmail','Cheryl Phillips');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (368,'joan.miller@internalmail','Joan Miller');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (369,'chris.powell@internalmail','Chris Powell');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (370,'russell.rivera@internalmail','Russell Rivera');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (371,'nancy.hall@internalmail','Nancy Hall');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (372,'gerald.evans@internalmail','Gerald Evans');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (373,'jennifer.cooper@internalmail','Jennifer Cooper');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (374,'irene.moore@internalmail','Irene Moore');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (375,'sean.adams@internalmail','Sean Adams');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (376,'stephen.butler@internalmail','Stephen Butler');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (377,'adam.martinez@internalmail','Adam Martinez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (378,'angela.bailey@internalmail','Angela Bailey');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (379,'pamela.gonzalez@internalmail','Pamela Gonzalez');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (380,'arthur.hill@internalmail','Arthur Hill');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (381,'jesse.nelson@internalmail','Jesse Nelson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (382,'stephanie.jones@internalmail','Stephanie Jones');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (383,'robert.simmons@internalmail','Robert Simmons');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (384,'denise.white@internalmail','Denise White');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (385,'theresa.wilson@internalmail','Theresa Wilson');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (386,'andrea.james@internalmail','Andrea James');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (387,'steven.brown@internalmail','Steven Brown');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (388,'nicholas.diaz@internalmail','Nicholas Diaz');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (389,'justin.bailey@internalmail','Justin Bailey');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (390,'pamela.alexander@internalmail','Pamela Alexander');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (391,'edward.coleman@internalmail','Edward Coleman');
+ INSERT INTO customers (customer_id,email_address,full_name) VALUES (392,'adam.miller@internalmail','Adam Miller');
+END;
+/
+
+REM *************************** insert data into the PRODUCTS table
+
+Prompt ****** Populating PRODUCTS table ....
+
+DECLARE
+ prod_details VARCHAR2(32767);
+BEGIN
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (1,'Boy''s Shirt (White)',29.55,UTL_RAW.CAST_TO_RAW( '{"colour":"white","gender":"Boy''s","brand":"COMTOURS","description":"Labore commodo velit cupidatat ullamco ea proident velit sunt adipisicing. Esse tempor exercitation reprehenderit ullamco esse incididunt dolore laboris Lorem ipsum fugiat ea.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (2,'Women''s Shirt (Green)',16.67,UTL_RAW.CAST_TO_RAW( '{"colour":"green","gender":"Women''s","brand":"FLEETMIX","description":"Excepteur anim adipisicing aliqua ad. Ex aliquip ad tempor cupidatat dolore ipsum ex anim Lorem aute amet.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":8,"review":"Laborum ipsum adipisicing magna nulla tempor incididunt."},{"rating":10,"review":"Cupidatat dolore nulla pariatur quis quis."},{"rating":9,"review":"Pariatur mollit dolor in deserunt cillum consectetur."},{"rating":3,"review":"Dolore occaecat mollit id ad aliqua irure reprehenderit amet eiusmod pariatur."},{"rating":10,"review":"Est pariatur et qui minim velit non consectetur sint fugiat ad."},{"rating":6,"review":"Et pariatur ipsum eu qui."},{"rating":6,"review":"Voluptate labore irure cupidatat mollit irure quis fugiat enim laborum consectetur officia sunt."},{"rating":8,"review":"Irure elit do et elit aute veniam proident sunt."},{"rating":8,"review":"Aute mollit proident id veniam occaecat dolore mollit dolore nostrud."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (3,'Boy''s Sweater (Green)',44.17,UTL_RAW.CAST_TO_RAW( '{"colour":"green","gender":"Boy''s","brand":"KINETICA","description":"Occaecat dolore in ut et ad pariatur laborum mollit nulla exercitation. Laboris esse tempor quis velit nostrud exercitation veniam reprehenderit minim minim exercitation.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":5,"review":"Sunt ad proident excepteur laboris officia eu reprehenderit dolor nostrud elit nulla pariatur incididunt Lorem."},{"rating":2,"review":"Ullamco ad amet fugiat adipisicing."}]}') );
+
+ -- split over two lines as 32k varchar2 to avoid SQL*Plus length limit
+ prod_details := '{"colour":"white","gender":"Boy''s","brand":"INTERLOO","description":"Nostrud esse velit incididunt occaecat ullamco dolor quis reprehenderit proident dolore deserunt tempor qui proident. Magna deserunt sit minim eu commodo minim labore occaecat ea id sint laborum.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Anim culpa qui est adipisicing qui dolore enim. Sint duis aute laborum nisi ut elit Lorem nisi proident consectetur."},{"rating":6,"review":"Reprehenderit ad ipsum sint mollit aliqua."},{"rating":4,"review":"Enim culpa reprehenderit non ullamco non ex veniam. Sit do incididunt ullamco ad et et aliquip deserunt dolor officia nostrud ipsum officia nostrud. Lorem esse tempor aliqua ut quis occaecat."},{"rating":9,"review":"Pariatur sit dolor dolor tempor commodo aute culpa sit."},{"rating":2,"review":"Sunt enim sunt occaecat exercitation deserunt nisi anim mollit deserunt non laboris cillum."},{"rating":8,"review":"Exercitation et duis quis minim id duis veniam occaecat amet cillum velit pariatur tempor. Culpa aliquip adipisicing aliquip non minim occaecat eu nisi esse veniam eu aliqua."},{"rating":5,"review":"Culpa elit nulla dolore mollit tempor mollit in. Voluptate deserunt eiusmod sint id excepteur eiusmod excepteur qui enim cupidatat. Nostrud enim anim commodo adipisicing nisi dolore commodo elit commodo aliqua aliquip laborum."},{"rating":4,"review":"Exercitation sunt consequat anim nisi sunt cillum esse amet ut reprehenderit ea. Laborum labore ipsum consectetur ad excepteur proident fugiat consectetur eiusmod incididunt officia enim ullamco."},{"rating":2,"review":"Duis elit dolore Lorem commodo fugiat ad aliquip mollit ea. Sit fugiat officia tempor magna sit nisi irure exercitation deserunt mollit. Consequat est sunt qui non adipisicing."},{"rating":8,"review":"Nostrud laboris enim enim officia officia in non proident in do fugiat sit Lorem aliquip. Culpa ex voluptate exercitation velit."},{"rating":4,"review":"Sit ullamco est esse dolore sint aliquip enim id velit aliqua ex. Ex velit nulla occaecat ipsum reprehenderit."},{"rating":5,"review":"Deserunt nisi minim culpa cupidatat Lorem nisi anim pariatur tempor ut officia. Est minim veniam eiusmod eiusmod mollit aliqua incididunt aliqua nisi officia dolor amet cillum est."},' || chr(10) ||
+'{"rating":2,"review":"Labore incididunt quis dolor nostrud cupidatat culpa aute ullamco culpa proident aliqua. Ut minim ullamco mollit do elit laboris adipisicing elit."},{"rating":3,"review":"Sunt nisi est culpa anim eu et cillum eu deserunt fugiat et id ullamco ea. Aliquip et amet est Lorem duis aliquip sunt aliqua adipisicing occaecat dolor."},{"rating":2,"review":"Ipsum culpa elit id officia consequat tempor esse enim cupidatat."},{"rating":9,"review":"Quis do duis Lorem dolor proident ex Lorem eiusmod quis deserunt officia reprehenderit. Sint ullamco in in reprehenderit excepteur. Eiusmod ut enim id nisi."},{"rating":7,"review":"Dolor nisi laboris cillum laboris amet fugiat magna enim est veniam quis. Ipsum voluptate ea ipsum consequat nisi velit."},{"rating":2,"review":"Sunt occaecat irure excepteur Lorem eiusmod laboris sit ex duis ea non sunt. Eiusmod cillum ex in labore cillum sint ex eiusmod reprehenderit elit. Proident aute ad occaecat esse minim."},{"rating":2,"review":"Voluptate enim minim elit esse ea laboris esse."},{"rating":7,"review":"Cillum ullamco consectetur irure reprehenderit voluptate cillum pariatur cillum. Fugiat elit elit anim culpa exercitation ex enim."},{"rating":1,"review":"Pariatur reprehenderit velit excepteur esse eiusmod sit. Veniam ut do cupidatat duis."},{"rating":2,"review":"Tempor velit irure duis voluptate."},{"rating":7,"review":"Reprehenderit culpa ad nisi ut minim anim id dolore."},{"rating":8,"review":"Cupidatat aute incididunt nostrud ex aute ad dolore. Enim labore elit voluptate culpa deserunt aliquip minim."},{"rating":9,"review":"Ad ea exercitation laboris proident occaecat laborum veniam ipsum occaecat aute proident ad."},{"rating":9,"review":"Velit ipsum nulla in adipisicing. Dolore eu et enim enim esse culpa irure non ut in labore labore aliqua. Sint ullamco laboris eiusmod minim veniam voluptate esse veniam exercitation voluptate qui pariatur."},{"rating":10,"review":"Dolor duis pariatur aliqua excepteur exercitation pariatur incididunt sit proident eu labore ea. Sint tempor proident amet sint anim Lorem reprehenderit sit pariatur voluptate dolore velit."},{"rating":1,"review":"Eiusmod ad aute ullamco aute mollit est reprehenderit consectetur nisi nulla amet consectetur culpa. Do et commodo sit deserunt aliqua deserunt non culpa est occaecat."},{"rating":4,"review":"Cupidatat est sint velit amet incididunt esse magna nostrud ea mollit nisi enim ad voluptate."},{"rating":10}]}';
+
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (4,'Boy''s Trousers (White)',43.71,UTL_RAW.CAST_TO_RAW( prod_details ) );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (5,'Girl''s Shorts (Red)',38.28,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Girl''s","brand":"OZEAN","description":"Reprehenderit labore id in quis nulla in proident duis fugiat. Amet do occaecat ut voluptate id do.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (6,'Boy''s Socks (Grey)',19.16,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Boy''s","brand":"GROK","description":"Pariatur elit adipisicing aute dolor sunt laborum ullamco aliqua exercitation consectetur. Lorem qui sint ullamco sint commodo anim.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":5,"review":"Ea eu sit est consectetur quis in dolor ut."},{"rating":6,"review":"In do cillum occaecat minim."},{"rating":6,"review":"Laborum laborum excepteur ipsum aliquip reprehenderit cillum irure proident voluptate eiusmod in culpa."},{"rating":9,"review":"Exercitation magna proident non deserunt consectetur consectetur do ex sint id irure ipsum voluptate."},{"rating":7,"review":"Aliquip irure minim quis quis voluptate reprehenderit mollit dolore."},{"rating":1,"review":"Duis mollit aute cillum aute culpa magna."},{"rating":9,"review":"Magna exercitation exercitation sit commodo proident fugiat occaecat ullamco voluptate do consectetur officia velit."},{"rating":7,"review":"Laboris nostrud et nulla tempor commodo non aute ipsum excepteur qui dolore enim."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (7,'Boy''s Socks (Black)',19.58,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Boy''s","brand":"ENERVATE","description":"Sit minim sunt nulla proident velit Lorem dolor. Aute reprehenderit laborum labore proident non esse nisi ex magna consectetur minim ex est.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":8,"review":"Laborum laboris eu occaecat amet adipisicing consequat veniam velit."},{"rating":2,"review":"Mollit fugiat commodo minim sint do irure duis quis ex minim ad."},{"rating":2,"review":"Sit duis aliquip proident et nostrud enim anim amet dolor consequat tempor culpa."},{"rating":3,"review":"Proident aute voluptate aute irure."},{"rating":2,"review":"Ex excepteur duis irure veniam elit occaecat sit Lorem labore id minim tempor dolore officia."},{"rating":2,"review":"Amet fugiat commodo qui eiusmod dolore sint fugiat commodo elit qui esse in officia."},{"rating":2,"review":"Dolor proident proident ad officia cillum dolor aute officia enim exercitation."},{"rating":4,"review":"Dolor esse cupidatat eiusmod non veniam elit nostrud aliquip eu elit."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (8,'Boy''s Coat (Brown)',21.16,UTL_RAW.CAST_TO_RAW( '{"colour":"brown","gender":"Boy''s","brand":"KOFFEE","description":"Voluptate quis excepteur mollit id dolore. Sunt aliquip in magna ut irure nostrud duis officia fugiat aute.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (9,'Women''s Jeans (Brown)',29.49,UTL_RAW.CAST_TO_RAW( '{"colour":"brown","gender":"Women''s","brand":"PROTODYNE","description":"Est dolor tempor sint commodo irure sint ut dolor proident enim Lorem. Pariatur deserunt nostrud quis minim non.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":2,"review":"Occaecat cupidatat in id elit magna Lorem esse ad magna labore non qui magna."},{"rating":8,"review":"Cupidatat cupidatat laboris consectetur labore veniam aliqua et incididunt duis sunt proident."},{"rating":2,"review":"Esse ipsum veniam ullamco irure ad minim mollit consequat non dolor labore."},{"rating":1,"review":"Cillum ea minim voluptate id ut consectetur commodo nostrud cillum eiusmod eiusmod dolore cillum veniam."},{"rating":5,"review":"Excepteur adipisicing culpa dolor id et irure sint ex non nostrud velit pariatur esse quis."},{"rating":9,"review":"Do fugiat aliqua sunt quis proident fugiat."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (10,'Women''s Skirt (Red)',30.69,UTL_RAW.CAST_TO_RAW( '{"colour":"green","gender":"Women''s","brand":"FLYBOYZ","description":"Qui aliquip dolor aute labore amet nostrud deserunt nulla ut veniam id. Ut aute velit tempor anim ex sit nisi.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":7,"review":"Mollit consequat minim sit consequat deserunt duis."},{"rating":8,"review":"Quis eu esse proident elit eu aliqua magna voluptate labore adipisicing voluptate ex do."},{"rating":6,"review":"Laborum nulla aliquip nulla adipisicing aliquip qui cupidatat aliquip in."},{"rating":3,"review":"Exercitation aute voluptate voluptate tempor sit enim ut veniam do."},{"rating":8,"review":"Cillum cillum anim aliqua eu deserunt amet eu ut veniam in qui."},{"rating":7,"review":"Nostrud aliqua ullamco irure consectetur elit nisi eu elit reprehenderit ut."},{"rating":5,"review":"Irure nisi dolore dolore ut non ad minim pariatur."},{"rating":2,"review":"Laboris aliqua sint est incididunt sunt non tempor irure reprehenderit labore."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (11,'Boy''s Shorts (Blue)',10.48,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Boy''s","brand":"WRAPTURE","description":"Id sit adipisicing ea dolore fugiat laborum ut dolore. Reprehenderit aliqua non adipisicing aliqua adipisicing aute ullamco consectetur est aliqua.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Laborum labore exercitation culpa sint cillum aute duis labore do excepteur."},{"rating":10,"review":"Do velit laborum adipisicing velit."},{"rating":6,"review":"Culpa dolor aute adipisicing ad."},{"rating":6,"review":"Sit sunt elit proident fugiat consectetur id incididunt nulla nulla magna consectetur."},{"rating":6,"review":"Adipisicing ipsum eiusmod sint ullamco dolor irure qui officia."},{"rating":4,"review":"Ipsum commodo amet non ut labore."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (12,'Boy''s Socks (White)',12.64,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Boy''s","brand":"HANDSHAKE","description":"Tempor laborum voluptate mollit aliquip et tempor nostrud Lorem. Nostrud anim exercitation est fugiat elit est deserunt mollit exercitation.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":8,"review":"Quis culpa laborum ex magna."},{"rating":3,"review":"Culpa ullamco deserunt ex ea."},{"rating":3,"review":"Fugiat ullamco reprehenderit tempor nulla ad fugiat qui excepteur sunt officia deserunt nulla."},{"rating":2,"review":"Mollit dolore magna magna veniam culpa ullamco tempor esse id in occaecat excepteur ullamco ea."},{"rating":10,"review":"Culpa dolore enim consequat aliquip nulla ipsum."},{"rating":2,"review":"Excepteur aliqua sunt exercitation mollit pariatur anim tempor."},{"rating":8,"review":"Proident culpa tempor dolore deserunt anim ea deserunt quis duis."},{"rating":8,"review":"Reprehenderit est do quis quis reprehenderit adipisicing qui Lorem mollit sit labore veniam."},{"rating":1,"review":"Mollit dolore ad laboris ut cillum velit in sint labore nulla Lorem minim."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (13,'Boy''s Hoodie (Grey)',26.14,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Boy''s","brand":"SUNCLIPSE","description":"Voluptate irure voluptate labore sint amet occaecat elit ea incididunt aliquip. Tempor laboris tempor tempor magna officia in aliqua consequat elit occaecat.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Fugiat officia nostrud cillum duis consequat sunt culpa duis laborum reprehenderit laborum."},{"rating":10,"review":"Et do reprehenderit do irure tempor id aliquip voluptate anim consequat amet sunt."},{"rating":3,"review":"Minim adipisicing dolore eiusmod laborum aliqua non Lorem laboris minim est cillum qui qui Lorem."},{"rating":4,"review":"Esse Lorem aute deserunt quis."},{"rating":1,"review":"Ex deserunt aliqua consectetur elit cillum cillum ex et mollit sint."},{"rating":4,"review":"Magna esse ipsum ipsum irure officia nostrud ad velit sit."},{"rating":8,"review":"Mollit et tempor esse fugiat fugiat ad voluptate irure est sunt proident magna anim ex."},{"rating":4,"review":"Nulla nisi esse ut exercitation commodo irure non amet labore mollit et elit."},{"rating":1,"review":"Enim officia anim proident consequat."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (14,'Women''s Skirt (Brown)',13.97,UTL_RAW.CAST_TO_RAW( '{"colour":"brown","gender":"Women''s","brand":"ISOTRONIC","description":"Magna Lorem do ad incididunt qui magna irure commodo nisi. Dolore ipsum adipisicing magna ea ullamco Lorem officia culpa do laborum voluptate.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":1,"review":"Officia occaecat laboris magna sint tempor officia deserunt proident eu excepteur."},{"rating":2,"review":"Aliqua nisi sint enim ad mollit qui."},{"rating":3,"review":"Fugiat excepteur eiusmod incididunt Lorem nostrud nostrud labore aute esse aliquip."},{"rating":8,"review":"Voluptate ad enim anim culpa veniam amet."},{"rating":3,"review":"Do cillum quis cillum Lorem tempor labore laboris."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (15,'Girl''s Coat (Blue)',13.09,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Girl''s","brand":"DECRATEX","description":"Proident ut officia non duis est eu aliquip culpa cupidatat est incididunt amet ipsum veniam. Aliqua ea cupidatat incididunt ad excepteur irure ad pariatur occaecat duis incididunt excepteur amet.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":8,"review":"Officia irure deserunt mollit Lorem dolor dolor minim deserunt."},{"rating":10,"review":"Aliqua nostrud dolore enim dolore reprehenderit officia quis aliquip irure occaecat et."},{"rating":2,"review":"Consectetur consequat ut cupidatat et elit et cillum veniam exercitation Lorem culpa ipsum."},{"rating":9,"review":"Nisi tempor incididunt Lorem sit sit do mollit qui aliquip qui eu quis Lorem."},{"rating":9,"review":"Sunt nulla ad dolore fugiat cillum et."},{"rating":8,"review":"Incididunt nostrud officia sunt cupidatat culpa ex id ut."},{"rating":1,"review":"Deserunt sit officia enim adipisicing exercitation velit ipsum dolore laboris officia mollit ex esse et."},{"rating":3,"review":"Aliqua nulla laborum id mollit irure incididunt aliqua mollit qui nostrud consectetur sint aliqua quis."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (16,'Women''s Socks (Grey)',39.89,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Women''s","brand":"PODUNK","description":"Ullamco aute sit magna est in dolore. Qui nisi laboris in voluptate aute quis esse esse cupidatat do et ipsum ad.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":5,"review":"Enim ad Lorem mollit esse mollit sunt aliquip pariatur magna mollit Lorem sint."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (17,'Women''s Sweater (Brown)',24.46,UTL_RAW.CAST_TO_RAW( '{"colour":"brown","gender":"Women''s","brand":"KLUGGER","description":"Dolore adipisicing commodo consequat Lorem ut incididunt. Ullamco nulla qui qui pariatur qui officia adipisicing magna aliqua ex qui incididunt.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":7,"review":"Fugiat cillum anim in qui laborum velit eu consectetur ad fugiat."},{"rating":6,"review":"Elit duis nostrud ad non enim elit mollit deserunt."},{"rating":2,"review":"Amet anim mollit laboris deserunt deserunt laboris anim ad commodo dolor."},{"rating":7,"review":"Labore nulla ullamco aute labore esse do proident sit."},{"rating":5,"review":"Non amet cillum eu cillum cupidatat occaecat excepteur ad voluptate culpa id."},{"rating":4,"review":"Non aliqua nisi anim qui consectetur id dolore duis sint aliqua ea tempor laborum."},{"rating":5,"review":"Elit ea Lorem duis amet."},{"rating":10,"review":"Aliqua velit nulla exercitation dolor minim ipsum culpa nostrud occaecat proident voluptate."},{"rating":3,"review":"Exercitation anim eu et veniam tempor ea."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (18,'Women''s Jacket (Black)',14.34,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Women''s","brand":"GEOLOGIX","description":"Voluptate anim commodo culpa qui deserunt consequat elit exercitation dolor tempor enim officia amet deserunt. Dolore deserunt Lorem labore et.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":6,"review":"Veniam exercitation adipisicing irure et Lorem anim qui proident voluptate cupidatat sint veniam."},{"rating":5,"review":"Quis pariatur ea do reprehenderit mollit."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (19,'Men''s Coat (Red)',28.21,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Men''s","brand":"VELOS","description":"Sint quis dolor in dolore sint elit ullamco ex magna laborum id eu. Magna fugiat qui pariatur dolore ex est esse minim elit velit.","sizes":["XS","S","M","L","XL","XXL"],"reviews":[{"rating":7,"review":"Esse velit est cupidatat ea labore cupidatat ipsum ullamco cupidatat Lorem."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (20,'Girl''s Shorts (Green)',38.34,UTL_RAW.CAST_TO_RAW( '{"colour":"green","gender":"Girl''s","brand":"TRASOLA","description":"Dolor eu Lorem dolore minim nisi pariatur. Consequat cillum id consequat mollit ad consectetur nostrud.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Veniam consectetur ea nisi irure aute cillum."},{"rating":8,"review":"Consequat ex incididunt pariatur mollit magna incididunt veniam pariatur aliqua ex exercitation aute mollit ullamco."},{"rating":4,"review":"Proident tempor cupidatat ut cillum nisi sunt consectetur veniam dolore est ut."},{"rating":8,"review":"Deserunt amet quis do duis nulla officia anim sint do eiusmod exercitation."},{"rating":5,"review":"Anim magna incididunt mollit deserunt proident veniam occaecat ex ut ex incididunt."},{"rating":4,"review":"Consectetur cillum minim dolore cupidatat esse."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (21,'Girl''s Pyjamas (White)',39.78,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Girl''s","brand":"UTARIAN","description":"Fugiat adipisicing sunt ullamco est ea. Dolor excepteur sit ad eu.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Proident consequat consequat eu enim Lorem incididunt ad amet excepteur tempor aliquip ad aliquip ea."},{"rating":7,"review":"Nulla sint anim aliqua laboris sint eu adipisicing incididunt."},{"rating":10,"review":"Aliqua aliquip non commodo duis consequat ad nisi et magna."},{"rating":9,"review":"Tempor consequat Lorem ipsum proident do nisi est dolore."},{"rating":7,"review":"Pariatur amet laborum dolor dolore incididunt sint labore."},{"rating":10,"review":"Eu exercitation incididunt et est."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (22,'Men''s Shorts (Black)',10.33,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Men''s","brand":"TERSANKI","description":"Occaecat veniam do aliqua irure consectetur ea fugiat aliqua qui ea veniam officia. Culpa officia Lorem dolor ullamco culpa adipisicing qui exercitation labore minim exercitation sunt.","sizes":["XS","S","M","L","XL","XXL"],"reviews":[{"rating":3,"review":"Consequat anim reprehenderit commodo non aliqua laborum aute."},{"rating":6,"review":"Labore cillum do qui magna culpa ea excepteur quis."},{"rating":1,"review":"Dolor amet quis ea magna."},{"rating":7,"review":"Minim sit nostrud anim nostrud excepteur nostrud ea ex veniam consectetur elit."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (23,'Men''s Pyjamas (Blue)',48.39,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Men''s","brand":"ADORNICA","description":"Irure amet Lorem consequat aliquip officia dolore amet officia. Do elit laboris non dolore nostrud dolore cupidatat ea quis aliquip ex aliquip non ex.","sizes":["XS","S","M","L","XL","XXL"],"reviews":[{"rating":3,"review":"Laboris elit pariatur labore duis fugiat ad in nulla tempor."},{"rating":5,"review":"Voluptate minim officia id excepteur."},{"rating":8,"review":"Eiusmod cupidatat et nisi ipsum non aliqua."},{"rating":1,"review":"Aute veniam irure dolor laborum esse ut ex tempor non velit."},{"rating":2,"review":"Nostrud nostrud mollit incididunt et tempor excepteur sit ut id exercitation."},{"rating":6,"review":"Labore tempor cillum laborum commodo et sit est qui aute enim id aute."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (24,'Boy''s Sweater (Red)',9.8,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Boy''s","brand":"PHARMEX","description":"Ex occaecat nulla esse duis nulla laboris aute. Commodo magna Lorem exercitation occaecat do anim minim non ad non ex do nulla ad.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Ea reprehenderit occaecat commodo exercitation ut adipisicing laboris adipisicing ex aute reprehenderit nisi sint qui."},{"rating":8,"review":"Qui anim sint dolore id dolor proident occaecat."},{"rating":5,"review":"Dolore fugiat mollit Lorem aliqua id consequat irure veniam."},{"rating":2,"review":"Esse dolore occaecat consectetur sit sit labore exercitation sint occaecat quis enim occaecat."},{"rating":4,"review":"Do commodo do laboris qui minim fugiat nisi nostrud elit."},{"rating":7,"review":"Pariatur eu non eiusmod ex dolor veniam."},{"rating":3,"review":"Magna aliqua dolor sint anim aliquip officia officia esse labore do."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (25,'Girl''s Jeans (Grey)',48.75,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Girl''s","brand":"KINETICUT","description":"Ut aliqua nostrud exercitation cupidatat cupidatat in. Sit tempor eu cillum quis incididunt consectetur quis amet.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":2,"review":"Id consectetur minim anim nisi occaecat elit labore duis."},{"rating":5,"review":"Ut fugiat qui velit fugiat nostrud ea dolor amet magna id pariatur."},{"rating":3,"review":"Labore laborum eiusmod qui minim exercitation."},{"rating":4,"review":"Excepteur ea mollit ad pariatur mollit veniam."},{"rating":9,"review":"Consectetur aliquip deserunt fugiat excepteur elit occaecat culpa fugiat dolor in."},{"rating":1,"review":"Adipisicing adipisicing mollit reprehenderit ex nulla in ea ad exercitation irure ullamco."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (26,'Girl''s Hoodie (White)',39.91,UTL_RAW.CAST_TO_RAW( '{"colour":"white","gender":"Girl''s","brand":"PROXSOFT","description":"Aliquip culpa eu deserunt ex culpa in laborum adipisicing. Amet et id minim esse ea non qui veniam.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":6,"review":"Commodo ut fugiat voluptate adipisicing deserunt."},{"rating":4,"review":"Fugiat cupidatat amet fugiat cupidatat ea ea."},{"rating":7,"review":"Incididunt ex enim commodo sit consequat enim."},{"rating":3,"review":"Ullamco in et aute laboris cillum."},{"rating":3,"review":"Reprehenderit Lorem proident sit deserunt do tempor commodo velit velit nulla ipsum."},{"rating":10,"review":"Dolore pariatur velit enim est culpa eiusmod cupidatat deserunt esse elit exercitation sunt proident exercitation."},{"rating":2,"review":"Minim fugiat elit aliquip nostrud velit reprehenderit cillum."},{"rating":4,"review":"Sint Lorem est laborum consectetur pariatur minim tempor ullamco Lorem est."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (27,'Boy''s Coat (Blue)',10.24,UTL_RAW.CAST_TO_RAW( '{"colour":"brown","gender":"Boy''s","brand":"GRONK","description":"Quis aliquip fugiat sunt qui eu velit aliqua sint eiusmod mollit id ad. Anim anim ipsum in reprehenderit amet amet consectetur incididunt qui cillum Lorem.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":8,"review":"Sit id elit cupidatat aute consectetur esse proident aliqua ad voluptate cillum Lorem."},{"rating":6,"review":"Enim enim fugiat consectetur ut sunt veniam ad sit minim amet Lorem veniam mollit."},{"rating":5,"review":"Dolor ipsum consectetur nostrud ex Lorem pariatur voluptate."},{"rating":8,"review":"Commodo magna sint sint dolore aute anim laborum."},{"rating":4,"review":"Laboris amet proident occaecat dolore labore exercitation dolore sunt Lorem sunt anim."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (28,'Men''s Hoodie (Red)',24.71,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Men''s","brand":"FANGOLD","description":"Dolor irure dolore est ipsum nisi incididunt laboris culpa. Ullamco ad cupidatat sint culpa adipisicing pariatur.","sizes":["XS","S","M","L","XL","XXL"],"reviews":[{"rating":3,"review":"Proident aliqua aliquip aute quis cillum."},{"rating":5,"review":"Pariatur enim ipsum aliqua Lorem eiusmod consequat cupidatat irure nulla sint fugiat veniam amet ipsum."},{"rating":10,"review":"Sint duis ipsum reprehenderit Lorem aute pariatur elit."},{"rating":4,"review":"Enim qui qui consequat culpa ex velit sint excepteur ipsum in amet mollit mollit."},{"rating":10,"review":"Qui velit reprehenderit fugiat adipisicing anim incididunt anim commodo occaecat consectetur in aute."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (29,'Boy''s Shirt (Black)',37.34,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Boy''s","brand":"SQUISH","description":"Pariatur nulla elit pariatur excepteur ullamco officia incididunt. Aliquip quis aliquip cupidatat magna fugiat eiusmod pariatur excepteur tempor officia voluptate fugiat.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":5,"review":"Non esse labore ullamco laboris irure cupidatat ex proident eiusmod."},{"rating":10,"review":"Ea velit et mollit labore consequat."},{"rating":6,"review":"Labore sit pariatur Lorem ad sint consectetur incididunt deserunt eiusmod sit nostrud dolore eiusmod sint."},{"rating":1,"review":"Id voluptate sunt amet laboris laborum ad dolor aliqua ipsum sint qui aute eu esse."},{"rating":5,"review":"Sint Lorem dolore do ea."},{"rating":9,"review":"Quis pariatur consequat nisi labore Lorem elit in qui Lorem."},{"rating":2,"review":"Consectetur voluptate tempor ullamco voluptate labore sint."},{"rating":9,"review":"Qui laboris tempor ullamco ullamco commodo sint occaecat Lorem."},{"rating":1,"review":"Laborum eu sit duis et culpa eu duis irure incididunt amet."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (30,'Women''s Pyjamas (Grey)',28.59,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Women''s","brand":"THREDZ","description":"Quis aliqua eiusmod incididunt quis ut ea aliqua sunt veniam ut et cupidatat eiusmod. Sunt sunt duis excepteur excepteur do exercitation.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":1,"review":"Et anim culpa voluptate pariatur ullamco dolore ad aliquip."},{"rating":4,"review":"Nulla non ea nisi nulla elit veniam duis."},{"rating":4,"review":"Lorem adipisicing deserunt duis id sint aliquip minim deserunt magna sunt magna laborum dolore."},{"rating":3,"review":"Officia amet magna eu nulla dolore magna pariatur deserunt amet reprehenderit."},{"rating":3,"review":"Ad aliqua ex eu cillum labore elit mollit reprehenderit anim."},{"rating":1,"review":"Duis excepteur magna aliqua qui officia ipsum sunt."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (31,'Women''s Skirt (Green)',5.65,UTL_RAW.CAST_TO_RAW( '{"colour":"green","gender":"Women''s","brand":"ZIDANT","description":"Et est officia est amet est nisi sit veniam proident. Ullamco proident culpa velit proident quis dolore occaecat proident Lorem tempor.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (32,'Women''s Jacket (Blue)',37,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Women''s","brand":"ZOGAK","description":"Tempor ipsum duis aliqua veniam qui laboris et ut officia. Fugiat fugiat nisi labore excepteur ullamco excepteur veniam in in et adipisicing sint.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":9,"review":"Sit amet id ut laborum in exercitation laborum Lorem fugiat ex."},{"rating":7,"review":"Nisi non mollit dolore id aute velit laboris consequat voluptate id."},{"rating":1,"review":"Nisi nisi fugiat non nisi amet esse."},{"rating":1,"review":"Laborum eiusmod id ipsum aliqua adipisicing cillum enim."},{"rating":8,"review":"Duis aliqua ut nulla proident voluptate incididunt elit est exercitation id aute."},{"rating":4,"review":"Veniam labore exercitation eiusmod nisi mollit anim eu."},{"rating":6,"review":"Exercitation eu est irure velit pariatur."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (33,'Boy''s Pyjamas (Grey)',23.32,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Boy''s","brand":"RETRACK","description":"Sit consectetur Lorem culpa ipsum ad ullamco ea aute qui ea. Laboris ipsum enim enim veniam.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":7,"review":"Ut incididunt veniam ullamco voluptate occaecat velit."},{"rating":5,"review":"Consectetur cupidatat voluptate dolore velit culpa est id enim aute."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (34,'Women''s Jeans (Red)',7.18,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Women''s","brand":"PANZENT","description":"Eiusmod culpa dolore occaecat excepteur esse magna fugiat dolore cupidatat laboris mollit culpa. Consequat dolor qui tempor sit minim sit excepteur enim excepteur aute minim.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":10,"review":"Nulla enim cillum pariatur do consectetur et Lorem."},{"rating":1,"review":"Cupidatat fugiat incididunt fugiat eu."},{"rating":1,"review":"Ullamco eiusmod adipisicing fugiat reprehenderit mollit aliquip."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (35,'Girl''s Dress (Red)',49.12,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Girl''s","brand":"NIXELT","description":"Ipsum pariatur laborum nulla pariatur consequat consequat amet nisi. Ut in quis officia excepteur.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":10,"review":"Ut est anim sit nulla commodo velit occaecat amet mollit fugiat id."},{"rating":2,"review":"Eu quis ea anim incididunt nisi nisi velit velit labore do."},{"rating":9,"review":"Eu laborum laborum reprehenderit minim officia anim."},{"rating":8,"review":"Et consectetur labore ullamco occaecat cupidatat magna pariatur esse qui ut mollit ea cillum."},{"rating":4,"review":"Dolore culpa magna commodo aute do culpa non commodo qui id commodo consectetur exercitation."},{"rating":6,"review":"Adipisicing laborum tempor sunt laboris et sint aute pariatur."},{"rating":9,"review":"Excepteur voluptate qui magna in cillum aliqua."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (36,'Women''s Trousers (Blue)',29.51,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Women''s","brand":"TROLLERY","description":"Proident sunt ipsum pariatur duis dolor eu dolore culpa ad aliquip elit. Mollit Lorem et aliquip commodo est anim amet eiusmod amet dolore laborum tempor officia.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":10,"review":"Consequat ut commodo irure sit elit anim amet eu est sunt tempor non."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (37,'Boy''s Jeans (Blue)',22.98,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Boy''s","brand":"AVIT","description":"Velit velit esse nulla minim minim laborum esse. Sint minim id aliquip amet fugiat dolor aliqua.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (38,'Girl''s Pyjamas (Red)',11,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Girl''s","brand":"EMTRAK","description":"Magna est occaecat consectetur ullamco mollit dolore aute irure consectetur nulla ipsum id elit occaecat. Amet Lorem sint nulla eiusmod commodo aliqua cillum anim tempor tempor pariatur do nostrud minim.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":4,"review":"Consectetur velit adipisicing excepteur in excepteur sit excepteur irure veniam velit."},{"rating":4,"review":"Consectetur exercitation exercitation irure commodo officia do adipisicing ullamco sit anim consequat."},{"rating":9,"review":"Minim occaecat sunt laborum voluptate culpa enim elit."},{"rating":2,"review":"Reprehenderit labore incididunt ex ullamco nostrud cillum irure mollit dolore aliqua enim tempor aliquip laborum."},{"rating":2,"review":"Enim commodo adipisicing consequat commodo."},{"rating":8,"review":"Sint ut cillum Lorem ut ad aliquip elit sunt labore laboris consequat Lorem aliqua occaecat."},{"rating":2,"review":"Et consectetur in officia ullamco labore ea duis amet."},{"rating":8,"review":"Reprehenderit enim tempor proident commodo ex eu fugiat cupidatat exercitation culpa id adipisicing deserunt officia."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (39,'Boy''s Trousers (Blue)',34.06,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Boy''s","brand":"DIGINETIC","description":"Dolor aliqua minim nostrud non labore in ullamco mollit mollit sit non. Duis nulla exercitation et adipisicing nostrud voluptate cupidatat eu reprehenderit.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":6,"review":"Culpa id consequat cillum dolor."},{"rating":8,"review":"Qui do quis magna nostrud exercitation enim aute dolore proident ipsum sint nostrud deserunt."},{"rating":9,"review":"Excepteur fugiat adipisicing laboris ea culpa cupidatat laborum occaecat nostrud."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (40,'Girl''s Pyjamas (Black)',8.66,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Girl''s","brand":"ISOLOGICS","description":"Ex exercitation aliquip cillum adipisicing cupidatat. Culpa labore eiusmod do ut ipsum incididunt ipsum labore.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":6,"review":"Duis minim duis dolor laboris eiusmod consequat fugiat adipisicing ex non culpa Lorem proident qui."},{"rating":4,"review":"Veniam tempor commodo aliqua sit ex mollit cillum aute officia fugiat tempor sunt nulla elit."},{"rating":10,"review":"Dolore officia aute magna eiusmod exercitation esse amet tempor."},{"rating":7,"review":"Proident nisi voluptate ea esse exercitation ullamco consequat consectetur in enim amet adipisicing commodo nulla."},{"rating":4,"review":"Irure ullamco id adipisicing fugiat Lorem do non officia nisi sunt esse mollit consectetur."},{"rating":9,"review":"Laboris do elit dolor officia irure esse incididunt pariatur elit."},{"rating":1,"review":"Aliqua Lorem nostrud et reprehenderit exercitation exercitation nostrud consectetur dolor."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (41,'Women''s Dress (Black)',10.11,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Women''s","brand":"NEOCENT","description":"Eu enim aliquip deserunt est duis do sunt consequat sit sit labore nisi. Culpa mollit cupidatat Lorem et minim sit.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":4,"review":"Ex culpa sint ad eu quis."},{"rating":4,"review":"Irure labore adipisicing velit sint sint."},{"rating":4,"review":"Ullamco dolore ad qui consequat labore do cillum velit."},{"rating":5,"review":"Velit officia eiusmod proident dolore occaecat eu eiusmod."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (42,'Boy''s Jeans (Black)',16.64,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Boy''s","brand":"EARTHMARK","description":"Duis dolor est eu elit anim proident aliqua eu tempor. Est fugiat non ullamco et pariatur nulla exercitation eiusmod id officia minim.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":10,"review":"Anim aliquip id reprehenderit laboris."},{"rating":7,"review":"Nostrud non cupidatat id eiusmod aliquip anim ullamco aliquip cupidatat excepteur dolor reprehenderit."},{"rating":6,"review":"Veniam consequat deserunt nostrud sunt est commodo sint eu fugiat ipsum deserunt aute elit est."},{"rating":9,"review":"Eiusmod excepteur ut ullamco eiusmod labore deserunt."},{"rating":5,"review":"Aute deserunt eu voluptate id irure aliquip duis sint proident dolore dolor."},{"rating":5,"review":"Dolore mollit quis elit qui voluptate ad culpa voluptate elit consectetur."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (43,'Boy''s Trousers (Black)',39.32,UTL_RAW.CAST_TO_RAW( '{"colour":"blue","gender":"Boy''s","brand":"PHOLIO","description":"Voluptate ex mollit enim minim nulla proident dolor eu nostrud velit. Ex ullamco aute dolor duis elit elit.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":3,"review":"Labore non exercitation anim id deserunt excepteur dolore sunt deserunt dolor."},{"rating":5,"review":"Laborum eiusmod mollit amet nulla ex esse culpa ut elit reprehenderit labore ex Lorem cupidatat."},{"rating":7,"review":"Reprehenderit dolore aute consectetur voluptate excepteur veniam nulla ad."},{"rating":5,"review":"Reprehenderit proident in elit pariatur."},{"rating":8,"review":"Magna laborum ad deserunt voluptate enim excepteur enim dolore veniam consequat officia anim dolore mollit."},{"rating":3,"review":"Elit et reprehenderit amet aute amet laboris minim irure sint."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (44,'Women''s Coat (Black)',31.68,UTL_RAW.CAST_TO_RAW( '{"colour":"black","gender":"Women''s","brand":"COMVEYOR","description":"Exercitation ut ad reprehenderit sunt eiusmod sit. Qui nisi ut esse mollit nisi.","sizes":[0,2,4,6,8,10,12,14,16,18,20],"reviews":[{"rating":7,"review":"Ad consequat nisi est tempor nisi nulla veniam consectetur ad ut laborum magna."},{"rating":8,"review":"Incididunt magna ipsum cupidatat elit eiusmod enim mollit eiusmod id esse sit elit irure Lorem."},{"rating":7,"review":"Aute aliquip et esse consequat reprehenderit ipsum ut."},{"rating":8,"review":"Consectetur commodo cupidatat nostrud qui labore magna duis sit."},{"rating":8,"review":"Qui occaecat elit exercitation do est officia fugiat adipisicing velit occaecat deserunt Lorem ex adipisicing."},{"rating":6,"review":"Velit est commodo esse sint id ullamco aute ut ut officia laboris irure in."},{"rating":10,"review":"Ad nulla labore cupidatat do laboris do elit cupidatat excepteur occaecat cupidatat."},{"rating":5,"review":"Do esse magna occaecat non."},{"rating":10,"review":"Et sint qui tempor nostrud sunt sit duis dolor excepteur voluptate."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (45,'Men''s Jeans (Grey)',27.64,UTL_RAW.CAST_TO_RAW( '{"colour":"grey","gender":"Men''s","brand":"QNEKT","description":"Dolore duis minim dolor est fugiat sit dolor nisi anim Lorem culpa id. Consequat labore et reprehenderit pariatur culpa minim laboris pariatur esse aliquip.","sizes":["XS","S","M","L","XL","XXL"],"reviews":[{"rating":7,"review":"Veniam qui ipsum consequat laboris ad aliquip est reprehenderit esse sint cupidatat tempor."},{"rating":8,"review":"Ut anim anim ipsum ipsum irure."},{"rating":9,"review":"Non qui sunt ullamco deserunt sint."},{"rating":10,"review":"Nostrud fugiat velit aliqua eu culpa do excepteur do."}]}') );
+ INSERT INTO products (product_id,product_name,unit_price,product_details) VALUES (46,'Girl''s Trousers (Red)',39.16,UTL_RAW.CAST_TO_RAW( '{"colour":"red","gender":"Girl''s","brand":"OTHERSIDE","description":"Lorem officia laborum deserunt veniam cillum anim adipisicing minim aute ad esse sint sit tempor. Magna enim proident eiusmod incididunt adipisicing duis deserunt pariatur sint officia occaecat est minim ipsum.","sizes":["1 Yr","2 Yr","3-4 Yr","5-6 Yr","7-8 Yr","9-10 Yr"],"reviews":[{"rating":9,"review":"Magna magna ullamco ipsum pariatur occaecat eiusmod amet ea sunt reprehenderit dolore aute voluptate."},{"rating":7,"review":"Eiusmod cupidatat cillum qui dolor consequat."},{"rating":4,"review":"Do proident cillum cupidatat laboris in cillum."},{"rating":5,"review":"Sunt eiusmod ea labore est sint adipisicing velit duis."},{"rating":6,"review":"Ut consectetur ad magna officia ut aliqua deserunt magna."}]}') );
+END;
+/
+
+REM *************************** insert data into the STORES table
+
+Prompt ****** Populating STORES table ....
+
+BEGIN
+ INSERT INTO stores (store_id,store_name,web_address) VALUES (1,'Online','https://www.example.com');
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (2,'San Francisco','Redwood Shores
+ 500 Oracle Parkway
+ Redwood Shores, CA 94065',37.529395,-122.267237);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (3,'Seattle','1501 Fourth Avenue
+ Suite 1800
+ Seattle, WA 98101',47.6053,-122.33221);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (4,'New York City','205 Lexington Ave
+ 7th Floor
+ New York, NY 10016',40.745216,-73.980518);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (5,'Chicago','233 South Wacker Dr.
+ 45th Floor
+ Chicago, IL 60606',41.878751,-87.636675);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (6,'London','One South Place
+ London
+ EC2M 2RB',51.519281,-0.087296);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (7,'Bucharest','Floreasca Park
+ 43 Soseaua Pipera, corp B.
+ Sector 2
+ Bucharest , 014254
+ RO',44.43225,26.10626);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (8,'Berlin','Behrenstraße 42 (Humboldt Carré)
+ 10117 Berlin',52.5161,13.3873);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (9,'Utrecht','Hertogswetering 163-167, 3543 AS Utrecht, Netherlands',52.103263,5.061644);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (10,'Madrid','C/ José Echegaray 6B
+ Las Rozas
+ 28230 Madrid',40.4929,-3.8737);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (11,'Johannesburg','Woodmead North Office Park
+ 54 Maxwell Drive
+ Jukskeiview, Sandton, 2196',-26.044222,28.094662);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (12,'Lagos','1391 Tiamiyu Savage St, Victoria Island, Lagos, Nigeria',6.42806,3.42199);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (13,'Vienna','Donau-City-Straße 7, 1220 Wien, Austria',48.231838,16.412798);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (14,'Mumbai','First International Financial Center
+ Unit No. 501, Level 5
+ No. C54 & 55, G Block
+ Bandra Kurla Complex
+ CTS No. 4207, Kolekalyan Village
+ Mumbai - 400 051
+ India',19.069405,72.870143);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (15,'New Dehli','F-01/02, First Floor
+ Salcon Rasvillas
+ D-1, District Centre,
+ Saket, New Delhi - 110017
+ India',28.527693,77.220135);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (16,'Sydney','Riverside Corporate Park
+ 4 Julius Avenue
+ North Ryde
+ NSW 2113',-33.797279,151.143826);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (17,'Perth','Level 9
+ 225 St Georges Terrace
+ Perth WA 6000',-31.953715,115.851645);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (18,'São Paulo','Rua Dr. Jose Aureo Bustamante,
+ 455 - Vila Cordeiro,
+ CEP 04710-090 São Paulo',-23.5475,-46.63611);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (19,'Buenos Aires','Juana Manso 1069, Buenos Aires, Argentina',-34.61016,-58.362867);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (20,'Mexico City','Montes Urales # 470 P3
+ Col. Lomas de Chapultepec
+ Delegación Miguel Hidalgo - C.P. 11000',19.428489,-99.205745);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (21,'Bejing','China, Beijing Shi, Haidian Qu, Dongbeiwang W Rd, 8, 100085',40.0572,116.290061);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (22,'Tokyo','2 Chome-5-? Kitaaoyama, Minato City, Tokyo 107-0061, Japan',35.671534,139.718584);
+ INSERT INTO stores (store_id,store_name,physical_address,latitude,longitude) VALUES (23,'Tel Aviv','B, Aharon Bart St 18, Petah Tikva, 4951400, Israel',32.100664,34.862138);
+END;
+/
+
+REM *************************** insert data into the ORDERS table
+
+Prompt ****** Populating ORDERS table ....
+
+BEGIN
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1,TO_TIMESTAMP('04-FEB-2021 13.20.22.245676861','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (2,TO_TIMESTAMP('08-FEB-2021 20.58.10.472721115','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (3,TO_TIMESTAMP('09-FEB-2021 23.17.07.242517323','DD-MON-YYYY HH24.MI.SS.FF'),18,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (4,TO_TIMESTAMP('10-FEB-2021 13.43.36.061928731','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (5,TO_TIMESTAMP('11-FEB-2021 18.01.30.906119035','DD-MON-YYYY HH24.MI.SS.FF'),2,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (6,TO_TIMESTAMP('13-FEB-2021 20.11.48.702319539','DD-MON-YYYY HH24.MI.SS.FF'),74,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (7,TO_TIMESTAMP('22-FEB-2021 00.57.11.011114421','DD-MON-YYYY HH24.MI.SS.FF'),9,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (8,TO_TIMESTAMP('22-FEB-2021 15.00.52.003836100','DD-MON-YYYY HH24.MI.SS.FF'),109,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (9,TO_TIMESTAMP('23-FEB-2021 13.25.26.824165229','DD-MON-YYYY HH24.MI.SS.FF'),127,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (10,TO_TIMESTAMP('23-FEB-2021 14.02.10.185866897','DD-MON-YYYY HH24.MI.SS.FF'),106,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (11,TO_TIMESTAMP('24-FEB-2021 02.05.31.903891365','DD-MON-YYYY HH24.MI.SS.FF'),68,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (12,TO_TIMESTAMP('24-FEB-2021 09.54.16.110488621','DD-MON-YYYY HH24.MI.SS.FF'),127,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (13,TO_TIMESTAMP('24-FEB-2021 11.44.43.690930433','DD-MON-YYYY HH24.MI.SS.FF'),99,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (14,TO_TIMESTAMP('24-FEB-2021 17.50.02.729015363','DD-MON-YYYY HH24.MI.SS.FF'),101,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (15,TO_TIMESTAMP('26-FEB-2021 17.43.17.366895115','DD-MON-YYYY HH24.MI.SS.FF'),119,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (16,TO_TIMESTAMP('26-FEB-2021 23.42.54.082180815','DD-MON-YYYY HH24.MI.SS.FF'),119,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (17,TO_TIMESTAMP('27-FEB-2021 07.47.46.606030496','DD-MON-YYYY HH24.MI.SS.FF'),16,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (18,TO_TIMESTAMP('28-FEB-2021 18.42.54.719578735','DD-MON-YYYY HH24.MI.SS.FF'),39,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (19,TO_TIMESTAMP('01-MAR-2021 06.09.26.634522376','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (20,TO_TIMESTAMP('01-MAR-2021 10.07.32.467335385','DD-MON-YYYY HH24.MI.SS.FF'),3,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (21,TO_TIMESTAMP('01-MAR-2021 18.38.27.438668681','DD-MON-YYYY HH24.MI.SS.FF'),144,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (22,TO_TIMESTAMP('01-MAR-2021 22.55.29.698737465','DD-MON-YYYY HH24.MI.SS.FF'),80,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (23,TO_TIMESTAMP('02-MAR-2021 11.52.28.359515482','DD-MON-YYYY HH24.MI.SS.FF'),67,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (24,TO_TIMESTAMP('02-MAR-2021 15.53.19.496456408','DD-MON-YYYY HH24.MI.SS.FF'),81,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (25,TO_TIMESTAMP('03-MAR-2021 06.39.48.533448772','DD-MON-YYYY HH24.MI.SS.FF'),42,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (26,TO_TIMESTAMP('03-MAR-2021 09.30.59.972993409','DD-MON-YYYY HH24.MI.SS.FF'),126,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (27,TO_TIMESTAMP('03-MAR-2021 16.28.34.339865950','DD-MON-YYYY HH24.MI.SS.FF'),148,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (28,TO_TIMESTAMP('05-MAR-2021 00.33.33.690222408','DD-MON-YYYY HH24.MI.SS.FF'),139,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (29,TO_TIMESTAMP('06-MAR-2021 11.03.10.204845586','DD-MON-YYYY HH24.MI.SS.FF'),55,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (30,TO_TIMESTAMP('06-MAR-2021 17.53.59.405863523','DD-MON-YYYY HH24.MI.SS.FF'),206,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (31,TO_TIMESTAMP('07-MAR-2021 10.12.11.248485798','DD-MON-YYYY HH24.MI.SS.FF'),122,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (32,TO_TIMESTAMP('07-MAR-2021 19.55.05.581612443','DD-MON-YYYY HH24.MI.SS.FF'),32,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (33,TO_TIMESTAMP('08-MAR-2021 01.20.10.569196457','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (34,TO_TIMESTAMP('09-MAR-2021 00.16.29.279807968','DD-MON-YYYY HH24.MI.SS.FF'),71,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (35,TO_TIMESTAMP('09-MAR-2021 13.25.35.573762816','DD-MON-YYYY HH24.MI.SS.FF'),31,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (36,TO_TIMESTAMP('10-MAR-2021 02.51.51.860595535','DD-MON-YYYY HH24.MI.SS.FF'),217,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (37,TO_TIMESTAMP('10-MAR-2021 21.37.23.229443857','DD-MON-YYYY HH24.MI.SS.FF'),116,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (38,TO_TIMESTAMP('11-MAR-2021 15.23.33.673327449','DD-MON-YYYY HH24.MI.SS.FF'),131,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (39,TO_TIMESTAMP('12-MAR-2021 00.53.54.816639885','DD-MON-YYYY HH24.MI.SS.FF'),193,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (40,TO_TIMESTAMP('12-MAR-2021 07.14.13.124763728','DD-MON-YYYY HH24.MI.SS.FF'),194,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (41,TO_TIMESTAMP('12-MAR-2021 13.27.22.180940468','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (42,TO_TIMESTAMP('12-MAR-2021 16.57.16.442468392','DD-MON-YYYY HH24.MI.SS.FF'),184,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (43,TO_TIMESTAMP('12-MAR-2021 23.47.56.795113310','DD-MON-YYYY HH24.MI.SS.FF'),121,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (44,TO_TIMESTAMP('13-MAR-2021 05.28.48.295881349','DD-MON-YYYY HH24.MI.SS.FF'),162,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (45,TO_TIMESTAMP('13-MAR-2021 14.51.24.003858043','DD-MON-YYYY HH24.MI.SS.FF'),81,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (46,TO_TIMESTAMP('14-MAR-2021 00.26.31.884618245','DD-MON-YYYY HH24.MI.SS.FF'),73,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (47,TO_TIMESTAMP('14-MAR-2021 09.59.09.696949426','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (48,TO_TIMESTAMP('14-MAR-2021 14.54.16.350538742','DD-MON-YYYY HH24.MI.SS.FF'),71,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (49,TO_TIMESTAMP('14-MAR-2021 15.59.04.218807998','DD-MON-YYYY HH24.MI.SS.FF'),121,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (50,TO_TIMESTAMP('15-MAR-2021 08.04.35.364043188','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (51,TO_TIMESTAMP('15-MAR-2021 08.40.04.771303774','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (52,TO_TIMESTAMP('15-MAR-2021 13.35.30.310001854','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (53,TO_TIMESTAMP('16-MAR-2021 01.21.22.224575262','DD-MON-YYYY HH24.MI.SS.FF'),224,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (54,TO_TIMESTAMP('16-MAR-2021 17.21.33.275456267','DD-MON-YYYY HH24.MI.SS.FF'),227,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (55,TO_TIMESTAMP('17-MAR-2021 06.01.16.749462958','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (56,TO_TIMESTAMP('17-MAR-2021 09.37.37.836100633','DD-MON-YYYY HH24.MI.SS.FF'),84,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (57,TO_TIMESTAMP('18-MAR-2021 03.02.21.657881523','DD-MON-YYYY HH24.MI.SS.FF'),168,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (58,TO_TIMESTAMP('18-MAR-2021 04.07.52.903345273','DD-MON-YYYY HH24.MI.SS.FF'),61,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (59,TO_TIMESTAMP('19-MAR-2021 12.14.18.810205139','DD-MON-YYYY HH24.MI.SS.FF'),244,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (60,TO_TIMESTAMP('20-MAR-2021 00.07.13.591683621','DD-MON-YYYY HH24.MI.SS.FF'),23,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (61,TO_TIMESTAMP('21-MAR-2021 05.14.10.770541062','DD-MON-YYYY HH24.MI.SS.FF'),162,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (62,TO_TIMESTAMP('22-MAR-2021 00.08.19.213828219','DD-MON-YYYY HH24.MI.SS.FF'),200,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (63,TO_TIMESTAMP('22-MAR-2021 06.17.24.214467602','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (64,TO_TIMESTAMP('22-MAR-2021 06.48.22.843491687','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (65,TO_TIMESTAMP('22-MAR-2021 17.38.04.080685865','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (66,TO_TIMESTAMP('22-MAR-2021 17.50.53.273051181','DD-MON-YYYY HH24.MI.SS.FF'),60,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (67,TO_TIMESTAMP('23-MAR-2021 05.10.28.203691156','DD-MON-YYYY HH24.MI.SS.FF'),187,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (68,TO_TIMESTAMP('23-MAR-2021 06.23.19.410046289','DD-MON-YYYY HH24.MI.SS.FF'),86,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (69,TO_TIMESTAMP('24-MAR-2021 02.01.00.119936812','DD-MON-YYYY HH24.MI.SS.FF'),155,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (70,TO_TIMESTAMP('24-MAR-2021 10.38.02.420847000','DD-MON-YYYY HH24.MI.SS.FF'),96,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (71,TO_TIMESTAMP('25-MAR-2021 01.40.29.672465543','DD-MON-YYYY HH24.MI.SS.FF'),247,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (72,TO_TIMESTAMP('26-MAR-2021 21.12.19.453775963','DD-MON-YYYY HH24.MI.SS.FF'),80,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (73,TO_TIMESTAMP('27-MAR-2021 04.56.01.176469127','DD-MON-YYYY HH24.MI.SS.FF'),258,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (74,TO_TIMESTAMP('27-MAR-2021 07.48.10.178559686','DD-MON-YYYY HH24.MI.SS.FF'),235,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (75,TO_TIMESTAMP('27-MAR-2021 08.54.31.232771918','DD-MON-YYYY HH24.MI.SS.FF'),146,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (76,TO_TIMESTAMP('27-MAR-2021 20.02.49.082218724','DD-MON-YYYY HH24.MI.SS.FF'),249,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (77,TO_TIMESTAMP('28-MAR-2021 08.53.58.780133710','DD-MON-YYYY HH24.MI.SS.FF'),294,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (78,TO_TIMESTAMP('28-MAR-2021 09.56.00.702240909','DD-MON-YYYY HH24.MI.SS.FF'),20,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (79,TO_TIMESTAMP('29-MAR-2021 03.35.02.671013150','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (80,TO_TIMESTAMP('29-MAR-2021 05.44.21.693431770','DD-MON-YYYY HH24.MI.SS.FF'),44,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (81,TO_TIMESTAMP('29-MAR-2021 05.46.44.037207596','DD-MON-YYYY HH24.MI.SS.FF'),195,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (82,TO_TIMESTAMP('30-MAR-2021 00.19.54.871539724','DD-MON-YYYY HH24.MI.SS.FF'),13,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (83,TO_TIMESTAMP('30-MAR-2021 01.19.34.323026262','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (84,TO_TIMESTAMP('30-MAR-2021 07.44.21.385692848','DD-MON-YYYY HH24.MI.SS.FF'),67,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (85,TO_TIMESTAMP('30-MAR-2021 15.14.58.018074790','DD-MON-YYYY HH24.MI.SS.FF'),31,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (86,TO_TIMESTAMP('30-MAR-2021 19.34.15.517262756','DD-MON-YYYY HH24.MI.SS.FF'),151,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (87,TO_TIMESTAMP('30-MAR-2021 20.24.08.648137135','DD-MON-YYYY HH24.MI.SS.FF'),55,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (88,TO_TIMESTAMP('30-MAR-2021 21.04.14.258586981','DD-MON-YYYY HH24.MI.SS.FF'),295,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (89,TO_TIMESTAMP('31-MAR-2021 00.14.14.480261241','DD-MON-YYYY HH24.MI.SS.FF'),303,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (90,TO_TIMESTAMP('31-MAR-2021 14.06.13.251732955','DD-MON-YYYY HH24.MI.SS.FF'),175,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (91,TO_TIMESTAMP('31-MAR-2021 17.47.52.111265156','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (92,TO_TIMESTAMP('01-APR-2021 08.20.52.778767919','DD-MON-YYYY HH24.MI.SS.FF'),17,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (93,TO_TIMESTAMP('01-APR-2021 21.11.42.186472668','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (94,TO_TIMESTAMP('02-APR-2021 04.26.46.144319486','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (95,TO_TIMESTAMP('02-APR-2021 10.11.48.391936415','DD-MON-YYYY HH24.MI.SS.FF'),322,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (96,TO_TIMESTAMP('02-APR-2021 17.05.23.339361333','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (97,TO_TIMESTAMP('03-APR-2021 00.12.46.501166574','DD-MON-YYYY HH24.MI.SS.FF'),126,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (98,TO_TIMESTAMP('03-APR-2021 10.11.21.598178466','DD-MON-YYYY HH24.MI.SS.FF'),226,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (99,TO_TIMESTAMP('03-APR-2021 10.37.21.480654638','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (100,TO_TIMESTAMP('03-APR-2021 14.39.45.554486855','DD-MON-YYYY HH24.MI.SS.FF'),338,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (101,TO_TIMESTAMP('03-APR-2021 23.02.19.623381245','DD-MON-YYYY HH24.MI.SS.FF'),225,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (102,TO_TIMESTAMP('04-APR-2021 02.37.24.276040970','DD-MON-YYYY HH24.MI.SS.FF'),94,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (103,TO_TIMESTAMP('04-APR-2021 16.13.44.134156705','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (104,TO_TIMESTAMP('04-APR-2021 19.39.28.432271125','DD-MON-YYYY HH24.MI.SS.FF'),319,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (105,TO_TIMESTAMP('05-APR-2021 00.42.42.523255874','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (106,TO_TIMESTAMP('05-APR-2021 11.43.57.688157692','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (107,TO_TIMESTAMP('06-APR-2021 15.59.33.280351578','DD-MON-YYYY HH24.MI.SS.FF'),341,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (108,TO_TIMESTAMP('07-APR-2021 03.36.13.843528972','DD-MON-YYYY HH24.MI.SS.FF'),91,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (109,TO_TIMESTAMP('07-APR-2021 13.02.12.606028175','DD-MON-YYYY HH24.MI.SS.FF'),149,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (110,TO_TIMESTAMP('07-APR-2021 15.01.50.107038108','DD-MON-YYYY HH24.MI.SS.FF'),206,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (111,TO_TIMESTAMP('07-APR-2021 15.07.59.629834403','DD-MON-YYYY HH24.MI.SS.FF'),373,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (112,TO_TIMESTAMP('07-APR-2021 23.15.41.182730120','DD-MON-YYYY HH24.MI.SS.FF'),335,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (113,TO_TIMESTAMP('09-APR-2021 06.40.53.751701328','DD-MON-YYYY HH24.MI.SS.FF'),323,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (114,TO_TIMESTAMP('09-APR-2021 14.43.29.780598401','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (115,TO_TIMESTAMP('09-APR-2021 14.50.09.874345469','DD-MON-YYYY HH24.MI.SS.FF'),176,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (116,TO_TIMESTAMP('09-APR-2021 15.52.10.041177852','DD-MON-YYYY HH24.MI.SS.FF'),322,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (117,TO_TIMESTAMP('09-APR-2021 16.00.04.714890975','DD-MON-YYYY HH24.MI.SS.FF'),274,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (118,TO_TIMESTAMP('09-APR-2021 21.50.07.095475737','DD-MON-YYYY HH24.MI.SS.FF'),278,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (119,TO_TIMESTAMP('09-APR-2021 22.19.40.972887668','DD-MON-YYYY HH24.MI.SS.FF'),76,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (120,TO_TIMESTAMP('10-APR-2021 01.52.56.425283106','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (121,TO_TIMESTAMP('10-APR-2021 05.09.24.395871136','DD-MON-YYYY HH24.MI.SS.FF'),273,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (122,TO_TIMESTAMP('10-APR-2021 07.38.06.979830312','DD-MON-YYYY HH24.MI.SS.FF'),202,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (123,TO_TIMESTAMP('10-APR-2021 08.05.01.131949208','DD-MON-YYYY HH24.MI.SS.FF'),106,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (124,TO_TIMESTAMP('10-APR-2021 08.21.51.001178480','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (125,TO_TIMESTAMP('10-APR-2021 12.41.39.268531486','DD-MON-YYYY HH24.MI.SS.FF'),12,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (126,TO_TIMESTAMP('10-APR-2021 13.43.48.050953958','DD-MON-YYYY HH24.MI.SS.FF'),204,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (127,TO_TIMESTAMP('11-APR-2021 01.00.20.456868296','DD-MON-YYYY HH24.MI.SS.FF'),216,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (128,TO_TIMESTAMP('11-APR-2021 05.16.30.989731700','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (129,TO_TIMESTAMP('11-APR-2021 13.33.49.764186152','DD-MON-YYYY HH24.MI.SS.FF'),343,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (130,TO_TIMESTAMP('11-APR-2021 17.02.36.819490556','DD-MON-YYYY HH24.MI.SS.FF'),116,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (131,TO_TIMESTAMP('11-APR-2021 21.07.40.584111579','DD-MON-YYYY HH24.MI.SS.FF'),206,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (132,TO_TIMESTAMP('12-APR-2021 01.14.57.734240955','DD-MON-YYYY HH24.MI.SS.FF'),17,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (133,TO_TIMESTAMP('12-APR-2021 01.23.34.808785878','DD-MON-YYYY HH24.MI.SS.FF'),345,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (134,TO_TIMESTAMP('12-APR-2021 16.26.47.079441855','DD-MON-YYYY HH24.MI.SS.FF'),289,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (135,TO_TIMESTAMP('13-APR-2021 03.44.15.892730895','DD-MON-YYYY HH24.MI.SS.FF'),374,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (136,TO_TIMESTAMP('13-APR-2021 06.11.26.657591471','DD-MON-YYYY HH24.MI.SS.FF'),276,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (137,TO_TIMESTAMP('13-APR-2021 10.16.51.407227416','DD-MON-YYYY HH24.MI.SS.FF'),63,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (138,TO_TIMESTAMP('13-APR-2021 15.51.25.459355840','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (139,TO_TIMESTAMP('13-APR-2021 20.44.39.773717820','DD-MON-YYYY HH24.MI.SS.FF'),254,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (140,TO_TIMESTAMP('14-APR-2021 03.41.50.296398965','DD-MON-YYYY HH24.MI.SS.FF'),162,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (141,TO_TIMESTAMP('15-APR-2021 05.43.35.682547863','DD-MON-YYYY HH24.MI.SS.FF'),123,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (142,TO_TIMESTAMP('15-APR-2021 20.27.26.810977539','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (143,TO_TIMESTAMP('16-APR-2021 09.47.59.984951101','DD-MON-YYYY HH24.MI.SS.FF'),348,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (144,TO_TIMESTAMP('16-APR-2021 15.00.09.932984238','DD-MON-YYYY HH24.MI.SS.FF'),124,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (145,TO_TIMESTAMP('16-APR-2021 23.20.01.292566356','DD-MON-YYYY HH24.MI.SS.FF'),254,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (146,TO_TIMESTAMP('17-APR-2021 05.24.48.203523625','DD-MON-YYYY HH24.MI.SS.FF'),270,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (147,TO_TIMESTAMP('17-APR-2021 15.18.57.440134771','DD-MON-YYYY HH24.MI.SS.FF'),246,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (148,TO_TIMESTAMP('17-APR-2021 18.04.22.086525643','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (149,TO_TIMESTAMP('17-APR-2021 21.24.54.090159223','DD-MON-YYYY HH24.MI.SS.FF'),189,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (150,TO_TIMESTAMP('18-APR-2021 03.55.30.431257083','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (151,TO_TIMESTAMP('18-APR-2021 06.04.56.490615438','DD-MON-YYYY HH24.MI.SS.FF'),274,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (152,TO_TIMESTAMP('18-APR-2021 23.15.12.725051710','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (153,TO_TIMESTAMP('19-APR-2021 05.50.51.109324778','DD-MON-YYYY HH24.MI.SS.FF'),387,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (154,TO_TIMESTAMP('19-APR-2021 06.47.14.698647847','DD-MON-YYYY HH24.MI.SS.FF'),160,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (155,TO_TIMESTAMP('20-APR-2021 01.52.47.895943335','DD-MON-YYYY HH24.MI.SS.FF'),90,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (156,TO_TIMESTAMP('20-APR-2021 05.08.57.494830730','DD-MON-YYYY HH24.MI.SS.FF'),326,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (157,TO_TIMESTAMP('20-APR-2021 07.37.24.718775928','DD-MON-YYYY HH24.MI.SS.FF'),245,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (158,TO_TIMESTAMP('20-APR-2021 09.15.18.322658001','DD-MON-YYYY HH24.MI.SS.FF'),387,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (159,TO_TIMESTAMP('20-APR-2021 12.51.57.254595825','DD-MON-YYYY HH24.MI.SS.FF'),1,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (160,TO_TIMESTAMP('21-APR-2021 05.53.24.019355026','DD-MON-YYYY HH24.MI.SS.FF'),175,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (161,TO_TIMESTAMP('21-APR-2021 07.47.44.059611248','DD-MON-YYYY HH24.MI.SS.FF'),337,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (162,TO_TIMESTAMP('21-APR-2021 22.34.52.953109157','DD-MON-YYYY HH24.MI.SS.FF'),392,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (163,TO_TIMESTAMP('21-APR-2021 22.38.17.641403927','DD-MON-YYYY HH24.MI.SS.FF'),156,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (164,TO_TIMESTAMP('22-APR-2021 11.32.50.381402054','DD-MON-YYYY HH24.MI.SS.FF'),241,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (165,TO_TIMESTAMP('22-APR-2021 12.38.28.987350963','DD-MON-YYYY HH24.MI.SS.FF'),69,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (166,TO_TIMESTAMP('22-APR-2021 13.04.31.006861299','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (167,TO_TIMESTAMP('22-APR-2021 15.03.31.376536590','DD-MON-YYYY HH24.MI.SS.FF'),117,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (168,TO_TIMESTAMP('23-APR-2021 00.10.57.245088413','DD-MON-YYYY HH24.MI.SS.FF'),180,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (169,TO_TIMESTAMP('23-APR-2021 00.19.42.225491241','DD-MON-YYYY HH24.MI.SS.FF'),337,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (170,TO_TIMESTAMP('23-APR-2021 01.45.57.903981289','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (171,TO_TIMESTAMP('23-APR-2021 19.19.57.191070817','DD-MON-YYYY HH24.MI.SS.FF'),273,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (172,TO_TIMESTAMP('23-APR-2021 19.54.43.764170838','DD-MON-YYYY HH24.MI.SS.FF'),70,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (173,TO_TIMESTAMP('24-APR-2021 00.26.37.590218275','DD-MON-YYYY HH24.MI.SS.FF'),212,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (174,TO_TIMESTAMP('24-APR-2021 01.48.48.690821768','DD-MON-YYYY HH24.MI.SS.FF'),228,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (175,TO_TIMESTAMP('24-APR-2021 13.11.27.431193344','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (176,TO_TIMESTAMP('25-APR-2021 00.29.37.501603492','DD-MON-YYYY HH24.MI.SS.FF'),154,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (177,TO_TIMESTAMP('25-APR-2021 08.41.10.529473937','DD-MON-YYYY HH24.MI.SS.FF'),179,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (178,TO_TIMESTAMP('25-APR-2021 12.50.12.923673979','DD-MON-YYYY HH24.MI.SS.FF'),220,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (179,TO_TIMESTAMP('25-APR-2021 17.42.12.231884123','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (180,TO_TIMESTAMP('25-APR-2021 20.21.45.478007709','DD-MON-YYYY HH24.MI.SS.FF'),253,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (181,TO_TIMESTAMP('26-APR-2021 02.05.01.398683041','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (182,TO_TIMESTAMP('26-APR-2021 03.56.02.680568734','DD-MON-YYYY HH24.MI.SS.FF'),1,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (183,TO_TIMESTAMP('26-APR-2021 04.01.12.351323410','DD-MON-YYYY HH24.MI.SS.FF'),334,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (184,TO_TIMESTAMP('26-APR-2021 05.13.15.426434930','DD-MON-YYYY HH24.MI.SS.FF'),22,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (185,TO_TIMESTAMP('26-APR-2021 19.21.28.667825403','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (186,TO_TIMESTAMP('26-APR-2021 20.57.05.724054914','DD-MON-YYYY HH24.MI.SS.FF'),32,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (187,TO_TIMESTAMP('26-APR-2021 23.30.23.092552685','DD-MON-YYYY HH24.MI.SS.FF'),93,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (188,TO_TIMESTAMP('27-APR-2021 00.32.50.168578806','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (189,TO_TIMESTAMP('27-APR-2021 00.44.28.661440857','DD-MON-YYYY HH24.MI.SS.FF'),321,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (190,TO_TIMESTAMP('27-APR-2021 05.31.26.708225720','DD-MON-YYYY HH24.MI.SS.FF'),315,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (191,TO_TIMESTAMP('27-APR-2021 11.55.21.710109497','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (192,TO_TIMESTAMP('27-APR-2021 20.39.55.948421664','DD-MON-YYYY HH24.MI.SS.FF'),286,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (193,TO_TIMESTAMP('28-APR-2021 06.15.02.034923997','DD-MON-YYYY HH24.MI.SS.FF'),111,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (194,TO_TIMESTAMP('28-APR-2021 06.33.36.431783747','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (195,TO_TIMESTAMP('28-APR-2021 15.35.30.371374019','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (196,TO_TIMESTAMP('28-APR-2021 16.53.48.264574826','DD-MON-YYYY HH24.MI.SS.FF'),8,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (197,TO_TIMESTAMP('28-APR-2021 21.24.04.137213837','DD-MON-YYYY HH24.MI.SS.FF'),29,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (198,TO_TIMESTAMP('28-APR-2021 22.23.56.681263691','DD-MON-YYYY HH24.MI.SS.FF'),319,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (199,TO_TIMESTAMP('28-APR-2021 23.35.00.556352651','DD-MON-YYYY HH24.MI.SS.FF'),29,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (200,TO_TIMESTAMP('29-APR-2021 04.26.10.682799597','DD-MON-YYYY HH24.MI.SS.FF'),24,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (201,TO_TIMESTAMP('29-APR-2021 11.48.01.437202914','DD-MON-YYYY HH24.MI.SS.FF'),1,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (202,TO_TIMESTAMP('29-APR-2021 20.13.30.793182588','DD-MON-YYYY HH24.MI.SS.FF'),345,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (203,TO_TIMESTAMP('29-APR-2021 23.39.26.476157481','DD-MON-YYYY HH24.MI.SS.FF'),117,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (204,TO_TIMESTAMP('30-APR-2021 11.39.15.779302498','DD-MON-YYYY HH24.MI.SS.FF'),6,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (205,TO_TIMESTAMP('30-APR-2021 17.09.57.777738851','DD-MON-YYYY HH24.MI.SS.FF'),173,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (206,TO_TIMESTAMP('01-MAY-2021 01.50.56.528511782','DD-MON-YYYY HH24.MI.SS.FF'),221,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (207,TO_TIMESTAMP('01-MAY-2021 09.13.44.015377202','DD-MON-YYYY HH24.MI.SS.FF'),121,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (208,TO_TIMESTAMP('01-MAY-2021 09.25.54.859645715','DD-MON-YYYY HH24.MI.SS.FF'),326,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (209,TO_TIMESTAMP('01-MAY-2021 12.05.23.643793826','DD-MON-YYYY HH24.MI.SS.FF'),302,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (210,TO_TIMESTAMP('02-MAY-2021 04.57.03.726197124','DD-MON-YYYY HH24.MI.SS.FF'),34,5,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (211,TO_TIMESTAMP('02-MAY-2021 05.25.37.688227439','DD-MON-YYYY HH24.MI.SS.FF'),350,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (212,TO_TIMESTAMP('02-MAY-2021 08.50.23.255353969','DD-MON-YYYY HH24.MI.SS.FF'),381,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (213,TO_TIMESTAMP('02-MAY-2021 11.34.38.604575736','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (214,TO_TIMESTAMP('02-MAY-2021 13.17.33.661108236','DD-MON-YYYY HH24.MI.SS.FF'),334,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (215,TO_TIMESTAMP('02-MAY-2021 20.47.37.537558957','DD-MON-YYYY HH24.MI.SS.FF'),98,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (216,TO_TIMESTAMP('03-MAY-2021 03.13.51.072773651','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (217,TO_TIMESTAMP('03-MAY-2021 05.11.54.569418071','DD-MON-YYYY HH24.MI.SS.FF'),315,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (218,TO_TIMESTAMP('03-MAY-2021 18.11.41.862494612','DD-MON-YYYY HH24.MI.SS.FF'),183,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (219,TO_TIMESTAMP('03-MAY-2021 18.39.18.072936860','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (220,TO_TIMESTAMP('03-MAY-2021 18.53.39.923726819','DD-MON-YYYY HH24.MI.SS.FF'),240,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (221,TO_TIMESTAMP('04-MAY-2021 00.03.35.317879019','DD-MON-YYYY HH24.MI.SS.FF'),193,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (222,TO_TIMESTAMP('04-MAY-2021 01.28.40.183375088','DD-MON-YYYY HH24.MI.SS.FF'),356,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (223,TO_TIMESTAMP('04-MAY-2021 18.14.39.627448077','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (224,TO_TIMESTAMP('04-MAY-2021 19.01.34.415549238','DD-MON-YYYY HH24.MI.SS.FF'),105,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (225,TO_TIMESTAMP('05-MAY-2021 01.39.39.072421036','DD-MON-YYYY HH24.MI.SS.FF'),184,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (226,TO_TIMESTAMP('05-MAY-2021 02.55.08.769074835','DD-MON-YYYY HH24.MI.SS.FF'),37,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (227,TO_TIMESTAMP('05-MAY-2021 04.31.44.723447664','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (228,TO_TIMESTAMP('05-MAY-2021 07.34.01.673369113','DD-MON-YYYY HH24.MI.SS.FF'),154,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (229,TO_TIMESTAMP('05-MAY-2021 09.11.42.912015460','DD-MON-YYYY HH24.MI.SS.FF'),117,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (230,TO_TIMESTAMP('06-MAY-2021 01.13.20.560712995','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (231,TO_TIMESTAMP('06-MAY-2021 08.42.52.595641089','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (232,TO_TIMESTAMP('06-MAY-2021 12.43.49.810512851','DD-MON-YYYY HH24.MI.SS.FF'),142,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (233,TO_TIMESTAMP('06-MAY-2021 13.17.41.057693567','DD-MON-YYYY HH24.MI.SS.FF'),63,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (234,TO_TIMESTAMP('06-MAY-2021 14.00.00.959299604','DD-MON-YYYY HH24.MI.SS.FF'),245,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (235,TO_TIMESTAMP('06-MAY-2021 16.53.57.923997207','DD-MON-YYYY HH24.MI.SS.FF'),303,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (236,TO_TIMESTAMP('06-MAY-2021 23.38.16.021418892','DD-MON-YYYY HH24.MI.SS.FF'),94,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (237,TO_TIMESTAMP('07-MAY-2021 12.29.24.211049516','DD-MON-YYYY HH24.MI.SS.FF'),51,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (238,TO_TIMESTAMP('07-MAY-2021 18.29.01.597797612','DD-MON-YYYY HH24.MI.SS.FF'),252,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (239,TO_TIMESTAMP('07-MAY-2021 23.02.38.954804645','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (240,TO_TIMESTAMP('08-MAY-2021 00.27.09.346498229','DD-MON-YYYY HH24.MI.SS.FF'),8,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (241,TO_TIMESTAMP('08-MAY-2021 12.19.37.375616372','DD-MON-YYYY HH24.MI.SS.FF'),167,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (242,TO_TIMESTAMP('09-MAY-2021 03.41.28.277888124','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (243,TO_TIMESTAMP('09-MAY-2021 06.55.17.160932775','DD-MON-YYYY HH24.MI.SS.FF'),332,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (244,TO_TIMESTAMP('09-MAY-2021 13.13.11.509723592','DD-MON-YYYY HH24.MI.SS.FF'),95,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (245,TO_TIMESTAMP('10-MAY-2021 07.53.12.734139956','DD-MON-YYYY HH24.MI.SS.FF'),365,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (246,TO_TIMESTAMP('10-MAY-2021 17.35.28.748978454','DD-MON-YYYY HH24.MI.SS.FF'),188,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (247,TO_TIMESTAMP('10-MAY-2021 22.11.38.202495315','DD-MON-YYYY HH24.MI.SS.FF'),384,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (248,TO_TIMESTAMP('11-MAY-2021 10.02.28.095787068','DD-MON-YYYY HH24.MI.SS.FF'),145,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (249,TO_TIMESTAMP('11-MAY-2021 14.09.09.533952359','DD-MON-YYYY HH24.MI.SS.FF'),387,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (250,TO_TIMESTAMP('11-MAY-2021 17.10.43.273618879','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (251,TO_TIMESTAMP('12-MAY-2021 04.36.40.317824645','DD-MON-YYYY HH24.MI.SS.FF'),158,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (252,TO_TIMESTAMP('12-MAY-2021 13.55.29.173574856','DD-MON-YYYY HH24.MI.SS.FF'),320,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (253,TO_TIMESTAMP('12-MAY-2021 14.25.40.457617779','DD-MON-YYYY HH24.MI.SS.FF'),142,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (254,TO_TIMESTAMP('13-MAY-2021 07.21.22.273953686','DD-MON-YYYY HH24.MI.SS.FF'),60,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (255,TO_TIMESTAMP('13-MAY-2021 08.11.19.881826835','DD-MON-YYYY HH24.MI.SS.FF'),299,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (256,TO_TIMESTAMP('13-MAY-2021 10.56.12.739848950','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (257,TO_TIMESTAMP('13-MAY-2021 13.40.00.102927423','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (258,TO_TIMESTAMP('13-MAY-2021 19.24.22.601229144','DD-MON-YYYY HH24.MI.SS.FF'),162,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (259,TO_TIMESTAMP('14-MAY-2021 09.25.12.559228611','DD-MON-YYYY HH24.MI.SS.FF'),272,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (260,TO_TIMESTAMP('14-MAY-2021 15.57.52.836958311','DD-MON-YYYY HH24.MI.SS.FF'),24,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (261,TO_TIMESTAMP('15-MAY-2021 01.55.03.073215777','DD-MON-YYYY HH24.MI.SS.FF'),305,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (262,TO_TIMESTAMP('15-MAY-2021 07.38.34.488492947','DD-MON-YYYY HH24.MI.SS.FF'),149,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (263,TO_TIMESTAMP('15-MAY-2021 09.16.01.235429566','DD-MON-YYYY HH24.MI.SS.FF'),101,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (264,TO_TIMESTAMP('15-MAY-2021 21.21.29.466561392','DD-MON-YYYY HH24.MI.SS.FF'),284,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (265,TO_TIMESTAMP('15-MAY-2021 23.20.47.860349061','DD-MON-YYYY HH24.MI.SS.FF'),344,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (266,TO_TIMESTAMP('16-MAY-2021 07.41.45.403827694','DD-MON-YYYY HH24.MI.SS.FF'),205,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (267,TO_TIMESTAMP('17-MAY-2021 05.00.05.644502861','DD-MON-YYYY HH24.MI.SS.FF'),315,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (268,TO_TIMESTAMP('17-MAY-2021 12.10.20.300305252','DD-MON-YYYY HH24.MI.SS.FF'),159,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (269,TO_TIMESTAMP('17-MAY-2021 19.30.01.678180917','DD-MON-YYYY HH24.MI.SS.FF'),321,2,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (270,TO_TIMESTAMP('18-MAY-2021 09.33.25.962215602','DD-MON-YYYY HH24.MI.SS.FF'),25,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (271,TO_TIMESTAMP('18-MAY-2021 10.45.24.354010880','DD-MON-YYYY HH24.MI.SS.FF'),104,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (272,TO_TIMESTAMP('18-MAY-2021 18.26.38.919533443','DD-MON-YYYY HH24.MI.SS.FF'),289,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (273,TO_TIMESTAMP('18-MAY-2021 22.49.23.293985819','DD-MON-YYYY HH24.MI.SS.FF'),293,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (274,TO_TIMESTAMP('19-MAY-2021 05.10.35.791749635','DD-MON-YYYY HH24.MI.SS.FF'),38,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (275,TO_TIMESTAMP('20-MAY-2021 07.40.39.223166411','DD-MON-YYYY HH24.MI.SS.FF'),347,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (276,TO_TIMESTAMP('20-MAY-2021 20.08.23.028819975','DD-MON-YYYY HH24.MI.SS.FF'),303,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (277,TO_TIMESTAMP('21-MAY-2021 00.29.33.560430541','DD-MON-YYYY HH24.MI.SS.FF'),391,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (278,TO_TIMESTAMP('21-MAY-2021 07.40.58.173847392','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (279,TO_TIMESTAMP('21-MAY-2021 12.28.43.000560306','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (280,TO_TIMESTAMP('21-MAY-2021 14.17.25.037421395','DD-MON-YYYY HH24.MI.SS.FF'),151,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (281,TO_TIMESTAMP('21-MAY-2021 15.30.22.664346714','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (282,TO_TIMESTAMP('21-MAY-2021 22.52.51.577051309','DD-MON-YYYY HH24.MI.SS.FF'),280,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (283,TO_TIMESTAMP('22-MAY-2021 06.47.48.224873969','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (284,TO_TIMESTAMP('22-MAY-2021 11.37.30.240142238','DD-MON-YYYY HH24.MI.SS.FF'),141,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (285,TO_TIMESTAMP('22-MAY-2021 13.23.59.947249723','DD-MON-YYYY HH24.MI.SS.FF'),102,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (286,TO_TIMESTAMP('22-MAY-2021 14.29.16.627149924','DD-MON-YYYY HH24.MI.SS.FF'),26,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (287,TO_TIMESTAMP('22-MAY-2021 22.52.38.639424801','DD-MON-YYYY HH24.MI.SS.FF'),225,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (288,TO_TIMESTAMP('23-MAY-2021 05.54.21.681109990','DD-MON-YYYY HH24.MI.SS.FF'),127,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (289,TO_TIMESTAMP('23-MAY-2021 11.35.05.862478748','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (290,TO_TIMESTAMP('23-MAY-2021 13.08.48.447444818','DD-MON-YYYY HH24.MI.SS.FF'),15,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (291,TO_TIMESTAMP('23-MAY-2021 17.08.16.360043203','DD-MON-YYYY HH24.MI.SS.FF'),108,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (292,TO_TIMESTAMP('24-MAY-2021 01.08.24.395798293','DD-MON-YYYY HH24.MI.SS.FF'),71,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (293,TO_TIMESTAMP('24-MAY-2021 03.03.10.689627904','DD-MON-YYYY HH24.MI.SS.FF'),32,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (294,TO_TIMESTAMP('24-MAY-2021 04.06.45.794300211','DD-MON-YYYY HH24.MI.SS.FF'),202,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (295,TO_TIMESTAMP('24-MAY-2021 05.16.50.781454621','DD-MON-YYYY HH24.MI.SS.FF'),372,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (296,TO_TIMESTAMP('24-MAY-2021 06.40.00.616271433','DD-MON-YYYY HH24.MI.SS.FF'),343,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (297,TO_TIMESTAMP('24-MAY-2021 20.26.27.293715770','DD-MON-YYYY HH24.MI.SS.FF'),352,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (298,TO_TIMESTAMP('24-MAY-2021 20.30.09.072185637','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (299,TO_TIMESTAMP('25-MAY-2021 09.16.10.577513844','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (300,TO_TIMESTAMP('25-MAY-2021 11.57.11.767414804','DD-MON-YYYY HH24.MI.SS.FF'),80,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (301,TO_TIMESTAMP('25-MAY-2021 23.44.04.731409055','DD-MON-YYYY HH24.MI.SS.FF'),389,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (302,TO_TIMESTAMP('26-MAY-2021 03.15.22.681529195','DD-MON-YYYY HH24.MI.SS.FF'),221,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (303,TO_TIMESTAMP('26-MAY-2021 06.51.14.078432511','DD-MON-YYYY HH24.MI.SS.FF'),365,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (304,TO_TIMESTAMP('26-MAY-2021 12.57.15.979927095','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (305,TO_TIMESTAMP('27-MAY-2021 01.51.11.545828514','DD-MON-YYYY HH24.MI.SS.FF'),53,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (306,TO_TIMESTAMP('27-MAY-2021 03.20.25.802950968','DD-MON-YYYY HH24.MI.SS.FF'),5,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (307,TO_TIMESTAMP('27-MAY-2021 04.27.28.810726831','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (308,TO_TIMESTAMP('27-MAY-2021 20.39.58.908235320','DD-MON-YYYY HH24.MI.SS.FF'),333,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (309,TO_TIMESTAMP('27-MAY-2021 23.28.36.369812120','DD-MON-YYYY HH24.MI.SS.FF'),67,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (310,TO_TIMESTAMP('28-MAY-2021 01.06.47.334288141','DD-MON-YYYY HH24.MI.SS.FF'),120,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (311,TO_TIMESTAMP('28-MAY-2021 05.31.28.504287345','DD-MON-YYYY HH24.MI.SS.FF'),311,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (312,TO_TIMESTAMP('28-MAY-2021 07.55.59.062183137','DD-MON-YYYY HH24.MI.SS.FF'),277,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (313,TO_TIMESTAMP('29-MAY-2021 22.04.57.617145453','DD-MON-YYYY HH24.MI.SS.FF'),59,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (314,TO_TIMESTAMP('31-MAY-2021 04.49.56.563779580','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (315,TO_TIMESTAMP('31-MAY-2021 07.10.48.528381549','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (316,TO_TIMESTAMP('31-MAY-2021 19.06.14.659179500','DD-MON-YYYY HH24.MI.SS.FF'),205,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (317,TO_TIMESTAMP('31-MAY-2021 20.01.21.551093216','DD-MON-YYYY HH24.MI.SS.FF'),89,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (318,TO_TIMESTAMP('01-JUN-2021 00.18.51.702266368','DD-MON-YYYY HH24.MI.SS.FF'),279,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (319,TO_TIMESTAMP('01-JUN-2021 03.54.07.626313382','DD-MON-YYYY HH24.MI.SS.FF'),66,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (320,TO_TIMESTAMP('01-JUN-2021 08.12.00.111068875','DD-MON-YYYY HH24.MI.SS.FF'),178,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (321,TO_TIMESTAMP('01-JUN-2021 14.58.54.161081464','DD-MON-YYYY HH24.MI.SS.FF'),283,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (322,TO_TIMESTAMP('01-JUN-2021 16.33.28.976267064','DD-MON-YYYY HH24.MI.SS.FF'),227,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (323,TO_TIMESTAMP('01-JUN-2021 22.23.05.862108546','DD-MON-YYYY HH24.MI.SS.FF'),268,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (324,TO_TIMESTAMP('02-JUN-2021 02.53.08.781576752','DD-MON-YYYY HH24.MI.SS.FF'),61,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (325,TO_TIMESTAMP('02-JUN-2021 03.26.39.731889813','DD-MON-YYYY HH24.MI.SS.FF'),183,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (326,TO_TIMESTAMP('02-JUN-2021 14.57.47.456216500','DD-MON-YYYY HH24.MI.SS.FF'),139,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (327,TO_TIMESTAMP('02-JUN-2021 16.05.54.814889876','DD-MON-YYYY HH24.MI.SS.FF'),392,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (328,TO_TIMESTAMP('02-JUN-2021 22.18.08.503794507','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (329,TO_TIMESTAMP('03-JUN-2021 00.49.19.241632272','DD-MON-YYYY HH24.MI.SS.FF'),36,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (330,TO_TIMESTAMP('03-JUN-2021 11.36.25.517913256','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (331,TO_TIMESTAMP('03-JUN-2021 13.25.06.729733779','DD-MON-YYYY HH24.MI.SS.FF'),5,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (332,TO_TIMESTAMP('03-JUN-2021 16.04.46.024145596','DD-MON-YYYY HH24.MI.SS.FF'),351,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (333,TO_TIMESTAMP('04-JUN-2021 01.07.45.151178587','DD-MON-YYYY HH24.MI.SS.FF'),87,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (334,TO_TIMESTAMP('04-JUN-2021 02.07.45.509432817','DD-MON-YYYY HH24.MI.SS.FF'),242,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (335,TO_TIMESTAMP('04-JUN-2021 02.43.27.144451490','DD-MON-YYYY HH24.MI.SS.FF'),148,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (336,TO_TIMESTAMP('04-JUN-2021 19.38.35.378549228','DD-MON-YYYY HH24.MI.SS.FF'),241,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (337,TO_TIMESTAMP('05-JUN-2021 00.52.55.863561365','DD-MON-YYYY HH24.MI.SS.FF'),347,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (338,TO_TIMESTAMP('05-JUN-2021 03.44.49.711304800','DD-MON-YYYY HH24.MI.SS.FF'),178,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (339,TO_TIMESTAMP('05-JUN-2021 05.06.13.110066558','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (340,TO_TIMESTAMP('06-JUN-2021 02.17.03.629288843','DD-MON-YYYY HH24.MI.SS.FF'),379,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (341,TO_TIMESTAMP('06-JUN-2021 12.16.25.253108065','DD-MON-YYYY HH24.MI.SS.FF'),35,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (342,TO_TIMESTAMP('06-JUN-2021 15.38.40.421036146','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (343,TO_TIMESTAMP('06-JUN-2021 16.38.33.257354127','DD-MON-YYYY HH24.MI.SS.FF'),277,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (344,TO_TIMESTAMP('06-JUN-2021 19.41.27.752281201','DD-MON-YYYY HH24.MI.SS.FF'),193,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (345,TO_TIMESTAMP('07-JUN-2021 10.11.04.051658398','DD-MON-YYYY HH24.MI.SS.FF'),311,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (346,TO_TIMESTAMP('08-JUN-2021 04.17.12.071274752','DD-MON-YYYY HH24.MI.SS.FF'),354,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (347,TO_TIMESTAMP('08-JUN-2021 13.34.37.910529793','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (348,TO_TIMESTAMP('08-JUN-2021 14.55.05.759682119','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (349,TO_TIMESTAMP('09-JUN-2021 07.20.12.711605579','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (350,TO_TIMESTAMP('09-JUN-2021 07.22.59.441494144','DD-MON-YYYY HH24.MI.SS.FF'),322,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (351,TO_TIMESTAMP('09-JUN-2021 19.19.50.821739242','DD-MON-YYYY HH24.MI.SS.FF'),28,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (352,TO_TIMESTAMP('10-JUN-2021 02.49.56.365939234','DD-MON-YYYY HH24.MI.SS.FF'),309,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (353,TO_TIMESTAMP('10-JUN-2021 11.55.59.931382701','DD-MON-YYYY HH24.MI.SS.FF'),102,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (354,TO_TIMESTAMP('10-JUN-2021 22.32.36.139027390','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (355,TO_TIMESTAMP('11-JUN-2021 10.51.35.665515556','DD-MON-YYYY HH24.MI.SS.FF'),48,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (356,TO_TIMESTAMP('11-JUN-2021 19.00.30.936237868','DD-MON-YYYY HH24.MI.SS.FF'),181,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (357,TO_TIMESTAMP('12-JUN-2021 07.27.28.989514695','DD-MON-YYYY HH24.MI.SS.FF'),147,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (358,TO_TIMESTAMP('12-JUN-2021 08.58.36.841156387','DD-MON-YYYY HH24.MI.SS.FF'),223,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (359,TO_TIMESTAMP('12-JUN-2021 11.07.05.818203602','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (360,TO_TIMESTAMP('12-JUN-2021 21.21.32.993340786','DD-MON-YYYY HH24.MI.SS.FF'),367,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (361,TO_TIMESTAMP('13-JUN-2021 10.48.48.235140312','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (362,TO_TIMESTAMP('13-JUN-2021 16.47.05.533774610','DD-MON-YYYY HH24.MI.SS.FF'),323,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (363,TO_TIMESTAMP('13-JUN-2021 17.10.31.134146060','DD-MON-YYYY HH24.MI.SS.FF'),181,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (364,TO_TIMESTAMP('13-JUN-2021 17.28.35.693330707','DD-MON-YYYY HH24.MI.SS.FF'),31,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (365,TO_TIMESTAMP('13-JUN-2021 18.10.25.420065958','DD-MON-YYYY HH24.MI.SS.FF'),350,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (366,TO_TIMESTAMP('14-JUN-2021 05.56.43.964771834','DD-MON-YYYY HH24.MI.SS.FF'),40,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (367,TO_TIMESTAMP('14-JUN-2021 14.53.25.844876365','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (368,TO_TIMESTAMP('14-JUN-2021 18.22.44.889412818','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (369,TO_TIMESTAMP('14-JUN-2021 20.37.30.655650380','DD-MON-YYYY HH24.MI.SS.FF'),392,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (370,TO_TIMESTAMP('14-JUN-2021 20.46.55.845094431','DD-MON-YYYY HH24.MI.SS.FF'),31,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (371,TO_TIMESTAMP('15-JUN-2021 04.21.49.453058343','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (372,TO_TIMESTAMP('15-JUN-2021 18.47.48.730487452','DD-MON-YYYY HH24.MI.SS.FF'),36,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (373,TO_TIMESTAMP('15-JUN-2021 20.49.37.211877514','DD-MON-YYYY HH24.MI.SS.FF'),360,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (374,TO_TIMESTAMP('15-JUN-2021 21.40.07.858695509','DD-MON-YYYY HH24.MI.SS.FF'),291,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (375,TO_TIMESTAMP('16-JUN-2021 04.37.15.083270010','DD-MON-YYYY HH24.MI.SS.FF'),341,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (376,TO_TIMESTAMP('16-JUN-2021 05.51.56.160091861','DD-MON-YYYY HH24.MI.SS.FF'),116,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (377,TO_TIMESTAMP('16-JUN-2021 15.22.46.418445816','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (378,TO_TIMESTAMP('16-JUN-2021 20.54.52.724689338','DD-MON-YYYY HH24.MI.SS.FF'),324,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (379,TO_TIMESTAMP('16-JUN-2021 21.28.59.949961871','DD-MON-YYYY HH24.MI.SS.FF'),78,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (380,TO_TIMESTAMP('17-JUN-2021 13.10.47.181419392','DD-MON-YYYY HH24.MI.SS.FF'),142,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (381,TO_TIMESTAMP('17-JUN-2021 18.15.48.669261503','DD-MON-YYYY HH24.MI.SS.FF'),204,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (382,TO_TIMESTAMP('17-JUN-2021 19.11.55.268003118','DD-MON-YYYY HH24.MI.SS.FF'),150,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (383,TO_TIMESTAMP('18-JUN-2021 02.05.23.018392741','DD-MON-YYYY HH24.MI.SS.FF'),368,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (384,TO_TIMESTAMP('18-JUN-2021 06.07.52.558323973','DD-MON-YYYY HH24.MI.SS.FF'),149,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (385,TO_TIMESTAMP('18-JUN-2021 11.33.03.286408646','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (386,TO_TIMESTAMP('18-JUN-2021 12.14.39.478834334','DD-MON-YYYY HH24.MI.SS.FF'),239,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (387,TO_TIMESTAMP('19-JUN-2021 00.50.27.704151464','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (388,TO_TIMESTAMP('19-JUN-2021 00.55.13.699859282','DD-MON-YYYY HH24.MI.SS.FF'),216,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (389,TO_TIMESTAMP('19-JUN-2021 12.44.32.327858049','DD-MON-YYYY HH24.MI.SS.FF'),238,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (390,TO_TIMESTAMP('19-JUN-2021 13.53.20.685664092','DD-MON-YYYY HH24.MI.SS.FF'),375,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (391,TO_TIMESTAMP('19-JUN-2021 17.23.13.835018541','DD-MON-YYYY HH24.MI.SS.FF'),379,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (392,TO_TIMESTAMP('19-JUN-2021 22.29.28.766870677','DD-MON-YYYY HH24.MI.SS.FF'),191,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (393,TO_TIMESTAMP('20-JUN-2021 04.31.32.557262410','DD-MON-YYYY HH24.MI.SS.FF'),125,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (394,TO_TIMESTAMP('20-JUN-2021 04.35.07.669317474','DD-MON-YYYY HH24.MI.SS.FF'),341,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (395,TO_TIMESTAMP('20-JUN-2021 06.44.10.082966550','DD-MON-YYYY HH24.MI.SS.FF'),152,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (396,TO_TIMESTAMP('20-JUN-2021 12.53.20.523483024','DD-MON-YYYY HH24.MI.SS.FF'),186,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (397,TO_TIMESTAMP('20-JUN-2021 14.17.23.636424980','DD-MON-YYYY HH24.MI.SS.FF'),371,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (398,TO_TIMESTAMP('20-JUN-2021 19.17.34.982416493','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (399,TO_TIMESTAMP('21-JUN-2021 00.33.09.076465019','DD-MON-YYYY HH24.MI.SS.FF'),178,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (400,TO_TIMESTAMP('21-JUN-2021 03.45.16.846553777','DD-MON-YYYY HH24.MI.SS.FF'),340,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (401,TO_TIMESTAMP('21-JUN-2021 09.51.46.931778859','DD-MON-YYYY HH24.MI.SS.FF'),16,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (402,TO_TIMESTAMP('21-JUN-2021 10.35.06.908849135','DD-MON-YYYY HH24.MI.SS.FF'),141,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (403,TO_TIMESTAMP('21-JUN-2021 15.42.46.961189400','DD-MON-YYYY HH24.MI.SS.FF'),374,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (404,TO_TIMESTAMP('21-JUN-2021 16.01.39.559879093','DD-MON-YYYY HH24.MI.SS.FF'),392,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (405,TO_TIMESTAMP('22-JUN-2021 08.53.46.105054847','DD-MON-YYYY HH24.MI.SS.FF'),292,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (406,TO_TIMESTAMP('22-JUN-2021 08.59.21.154099253','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (407,TO_TIMESTAMP('22-JUN-2021 12.42.04.036220096','DD-MON-YYYY HH24.MI.SS.FF'),31,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (408,TO_TIMESTAMP('22-JUN-2021 13.31.50.377337516','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (409,TO_TIMESTAMP('22-JUN-2021 14.37.40.276246728','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (410,TO_TIMESTAMP('22-JUN-2021 22.55.48.566239427','DD-MON-YYYY HH24.MI.SS.FF'),228,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (411,TO_TIMESTAMP('22-JUN-2021 23.32.16.567454260','DD-MON-YYYY HH24.MI.SS.FF'),292,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (412,TO_TIMESTAMP('23-JUN-2021 01.54.06.889136198','DD-MON-YYYY HH24.MI.SS.FF'),63,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (413,TO_TIMESTAMP('23-JUN-2021 05.33.19.561139505','DD-MON-YYYY HH24.MI.SS.FF'),149,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (414,TO_TIMESTAMP('23-JUN-2021 09.26.59.848677353','DD-MON-YYYY HH24.MI.SS.FF'),207,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (415,TO_TIMESTAMP('24-JUN-2021 10.09.06.573190759','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (416,TO_TIMESTAMP('24-JUN-2021 14.13.33.845536958','DD-MON-YYYY HH24.MI.SS.FF'),173,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (417,TO_TIMESTAMP('24-JUN-2021 21.55.55.961956945','DD-MON-YYYY HH24.MI.SS.FF'),297,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (418,TO_TIMESTAMP('24-JUN-2021 21.59.24.379018380','DD-MON-YYYY HH24.MI.SS.FF'),111,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (419,TO_TIMESTAMP('25-JUN-2021 01.28.58.538715989','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (420,TO_TIMESTAMP('25-JUN-2021 03.37.18.958457162','DD-MON-YYYY HH24.MI.SS.FF'),122,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (421,TO_TIMESTAMP('25-JUN-2021 06.32.06.470253926','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (422,TO_TIMESTAMP('25-JUN-2021 08.32.14.105915380','DD-MON-YYYY HH24.MI.SS.FF'),325,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (423,TO_TIMESTAMP('25-JUN-2021 13.06.55.286371495','DD-MON-YYYY HH24.MI.SS.FF'),226,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (424,TO_TIMESTAMP('26-JUN-2021 03.36.59.806026790','DD-MON-YYYY HH24.MI.SS.FF'),33,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (425,TO_TIMESTAMP('26-JUN-2021 06.18.31.379724581','DD-MON-YYYY HH24.MI.SS.FF'),186,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (426,TO_TIMESTAMP('26-JUN-2021 06.44.23.488518893','DD-MON-YYYY HH24.MI.SS.FF'),131,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (427,TO_TIMESTAMP('26-JUN-2021 12.27.40.109703305','DD-MON-YYYY HH24.MI.SS.FF'),196,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (428,TO_TIMESTAMP('26-JUN-2021 15.27.08.965594494','DD-MON-YYYY HH24.MI.SS.FF'),241,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (429,TO_TIMESTAMP('26-JUN-2021 16.28.59.601041160','DD-MON-YYYY HH24.MI.SS.FF'),296,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (430,TO_TIMESTAMP('26-JUN-2021 19.51.51.514668029','DD-MON-YYYY HH24.MI.SS.FF'),8,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (431,TO_TIMESTAMP('27-JUN-2021 01.11.32.771434196','DD-MON-YYYY HH24.MI.SS.FF'),208,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (432,TO_TIMESTAMP('27-JUN-2021 09.22.35.055770675','DD-MON-YYYY HH24.MI.SS.FF'),114,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (433,TO_TIMESTAMP('27-JUN-2021 10.26.57.600895474','DD-MON-YYYY HH24.MI.SS.FF'),392,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (434,TO_TIMESTAMP('27-JUN-2021 12.46.06.693856271','DD-MON-YYYY HH24.MI.SS.FF'),145,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (435,TO_TIMESTAMP('27-JUN-2021 13.28.48.890879485','DD-MON-YYYY HH24.MI.SS.FF'),24,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (436,TO_TIMESTAMP('27-JUN-2021 14.23.31.945545015','DD-MON-YYYY HH24.MI.SS.FF'),250,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (437,TO_TIMESTAMP('28-JUN-2021 05.37.34.394938371','DD-MON-YYYY HH24.MI.SS.FF'),10,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (438,TO_TIMESTAMP('28-JUN-2021 21.36.25.660700837','DD-MON-YYYY HH24.MI.SS.FF'),311,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (439,TO_TIMESTAMP('29-JUN-2021 18.11.15.978268489','DD-MON-YYYY HH24.MI.SS.FF'),120,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (440,TO_TIMESTAMP('29-JUN-2021 23.48.54.726627374','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (441,TO_TIMESTAMP('29-JUN-2021 23.51.28.212586544','DD-MON-YYYY HH24.MI.SS.FF'),292,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (442,TO_TIMESTAMP('29-JUN-2021 23.54.20.833684724','DD-MON-YYYY HH24.MI.SS.FF'),382,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (443,TO_TIMESTAMP('30-JUN-2021 18.09.40.698324480','DD-MON-YYYY HH24.MI.SS.FF'),352,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (444,TO_TIMESTAMP('01-JUL-2021 00.21.27.072277191','DD-MON-YYYY HH24.MI.SS.FF'),380,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (445,TO_TIMESTAMP('01-JUL-2021 18.55.50.711206854','DD-MON-YYYY HH24.MI.SS.FF'),210,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (446,TO_TIMESTAMP('01-JUL-2021 21.51.48.431285773','DD-MON-YYYY HH24.MI.SS.FF'),212,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (447,TO_TIMESTAMP('02-JUL-2021 01.51.28.187538635','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (448,TO_TIMESTAMP('02-JUL-2021 02.39.00.323779355','DD-MON-YYYY HH24.MI.SS.FF'),155,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (449,TO_TIMESTAMP('02-JUL-2021 05.37.40.417307855','DD-MON-YYYY HH24.MI.SS.FF'),242,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (450,TO_TIMESTAMP('02-JUL-2021 10.12.50.640980540','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (451,TO_TIMESTAMP('02-JUL-2021 14.54.53.575383186','DD-MON-YYYY HH24.MI.SS.FF'),204,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (452,TO_TIMESTAMP('02-JUL-2021 17.27.32.479202906','DD-MON-YYYY HH24.MI.SS.FF'),216,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (453,TO_TIMESTAMP('02-JUL-2021 23.08.52.629924354','DD-MON-YYYY HH24.MI.SS.FF'),4,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (454,TO_TIMESTAMP('03-JUL-2021 08.11.01.983559515','DD-MON-YYYY HH24.MI.SS.FF'),388,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (455,TO_TIMESTAMP('03-JUL-2021 10.54.24.150017567','DD-MON-YYYY HH24.MI.SS.FF'),291,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (456,TO_TIMESTAMP('04-JUL-2021 05.07.58.845541440','DD-MON-YYYY HH24.MI.SS.FF'),272,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (457,TO_TIMESTAMP('04-JUL-2021 14.29.16.775010028','DD-MON-YYYY HH24.MI.SS.FF'),307,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (458,TO_TIMESTAMP('04-JUL-2021 15.19.20.251699705','DD-MON-YYYY HH24.MI.SS.FF'),42,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (459,TO_TIMESTAMP('04-JUL-2021 18.51.05.206568587','DD-MON-YYYY HH24.MI.SS.FF'),390,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (460,TO_TIMESTAMP('04-JUL-2021 19.51.39.754387514','DD-MON-YYYY HH24.MI.SS.FF'),235,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (461,TO_TIMESTAMP('05-JUL-2021 05.09.56.223278282','DD-MON-YYYY HH24.MI.SS.FF'),302,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (462,TO_TIMESTAMP('05-JUL-2021 07.00.31.371700734','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (463,TO_TIMESTAMP('05-JUL-2021 07.10.17.026723191','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (464,TO_TIMESTAMP('05-JUL-2021 09.31.59.529940202','DD-MON-YYYY HH24.MI.SS.FF'),79,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (465,TO_TIMESTAMP('05-JUL-2021 13.58.39.294978698','DD-MON-YYYY HH24.MI.SS.FF'),280,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (466,TO_TIMESTAMP('05-JUL-2021 23.57.50.153980746','DD-MON-YYYY HH24.MI.SS.FF'),210,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (467,TO_TIMESTAMP('07-JUL-2021 05.40.52.117902213','DD-MON-YYYY HH24.MI.SS.FF'),293,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (468,TO_TIMESTAMP('07-JUL-2021 20.12.21.724515876','DD-MON-YYYY HH24.MI.SS.FF'),299,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (469,TO_TIMESTAMP('08-JUL-2021 02.37.56.517728180','DD-MON-YYYY HH24.MI.SS.FF'),239,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (470,TO_TIMESTAMP('08-JUL-2021 03.56.00.979747248','DD-MON-YYYY HH24.MI.SS.FF'),217,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (471,TO_TIMESTAMP('08-JUL-2021 04.18.42.649452661','DD-MON-YYYY HH24.MI.SS.FF'),61,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (472,TO_TIMESTAMP('08-JUL-2021 04.56.35.144154706','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (473,TO_TIMESTAMP('08-JUL-2021 05.40.04.815401105','DD-MON-YYYY HH24.MI.SS.FF'),116,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (474,TO_TIMESTAMP('08-JUL-2021 10.33.14.163400470','DD-MON-YYYY HH24.MI.SS.FF'),244,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (475,TO_TIMESTAMP('08-JUL-2021 14.36.38.114617871','DD-MON-YYYY HH24.MI.SS.FF'),210,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (476,TO_TIMESTAMP('08-JUL-2021 14.57.29.923366362','DD-MON-YYYY HH24.MI.SS.FF'),84,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (477,TO_TIMESTAMP('08-JUL-2021 17.15.48.130472153','DD-MON-YYYY HH24.MI.SS.FF'),374,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (478,TO_TIMESTAMP('08-JUL-2021 22.33.14.703702131','DD-MON-YYYY HH24.MI.SS.FF'),389,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (479,TO_TIMESTAMP('08-JUL-2021 23.29.42.717725145','DD-MON-YYYY HH24.MI.SS.FF'),368,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (480,TO_TIMESTAMP('09-JUL-2021 01.00.20.443641436','DD-MON-YYYY HH24.MI.SS.FF'),344,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (481,TO_TIMESTAMP('09-JUL-2021 03.56.07.678421432','DD-MON-YYYY HH24.MI.SS.FF'),118,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (482,TO_TIMESTAMP('09-JUL-2021 06.10.25.631548490','DD-MON-YYYY HH24.MI.SS.FF'),88,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (483,TO_TIMESTAMP('09-JUL-2021 13.26.22.167034400','DD-MON-YYYY HH24.MI.SS.FF'),72,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (484,TO_TIMESTAMP('09-JUL-2021 20.46.44.757593874','DD-MON-YYYY HH24.MI.SS.FF'),159,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (485,TO_TIMESTAMP('10-JUL-2021 21.37.27.979855544','DD-MON-YYYY HH24.MI.SS.FF'),134,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (486,TO_TIMESTAMP('11-JUL-2021 05.43.23.873602206','DD-MON-YYYY HH24.MI.SS.FF'),105,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (487,TO_TIMESTAMP('11-JUL-2021 06.20.13.032317115','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (488,TO_TIMESTAMP('11-JUL-2021 10.45.08.697480502','DD-MON-YYYY HH24.MI.SS.FF'),150,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (489,TO_TIMESTAMP('11-JUL-2021 15.23.58.623839976','DD-MON-YYYY HH24.MI.SS.FF'),64,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (490,TO_TIMESTAMP('11-JUL-2021 18.34.33.441566071','DD-MON-YYYY HH24.MI.SS.FF'),48,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (491,TO_TIMESTAMP('12-JUL-2021 03.51.53.830374913','DD-MON-YYYY HH24.MI.SS.FF'),264,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (492,TO_TIMESTAMP('12-JUL-2021 12.46.11.615438653','DD-MON-YYYY HH24.MI.SS.FF'),381,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (493,TO_TIMESTAMP('12-JUL-2021 22.33.08.103516571','DD-MON-YYYY HH24.MI.SS.FF'),155,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (494,TO_TIMESTAMP('13-JUL-2021 01.57.01.888738680','DD-MON-YYYY HH24.MI.SS.FF'),256,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (495,TO_TIMESTAMP('13-JUL-2021 10.22.46.396252330','DD-MON-YYYY HH24.MI.SS.FF'),205,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (496,TO_TIMESTAMP('13-JUL-2021 16.14.36.372108596','DD-MON-YYYY HH24.MI.SS.FF'),33,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (497,TO_TIMESTAMP('13-JUL-2021 17.14.47.914828468','DD-MON-YYYY HH24.MI.SS.FF'),164,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (498,TO_TIMESTAMP('13-JUL-2021 20.03.50.836713693','DD-MON-YYYY HH24.MI.SS.FF'),262,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (499,TO_TIMESTAMP('14-JUL-2021 06.27.09.907375585','DD-MON-YYYY HH24.MI.SS.FF'),333,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (500,TO_TIMESTAMP('14-JUL-2021 08.12.41.996031615','DD-MON-YYYY HH24.MI.SS.FF'),200,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (501,TO_TIMESTAMP('14-JUL-2021 14.30.36.589487021','DD-MON-YYYY HH24.MI.SS.FF'),367,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (502,TO_TIMESTAMP('14-JUL-2021 19.06.39.830374968','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (503,TO_TIMESTAMP('15-JUL-2021 23.11.29.875792060','DD-MON-YYYY HH24.MI.SS.FF'),243,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (504,TO_TIMESTAMP('17-JUL-2021 10.18.55.588248959','DD-MON-YYYY HH24.MI.SS.FF'),107,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (505,TO_TIMESTAMP('17-JUL-2021 18.24.28.873795009','DD-MON-YYYY HH24.MI.SS.FF'),248,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (506,TO_TIMESTAMP('17-JUL-2021 21.52.33.762499057','DD-MON-YYYY HH24.MI.SS.FF'),4,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (507,TO_TIMESTAMP('18-JUL-2021 02.58.50.581546268','DD-MON-YYYY HH24.MI.SS.FF'),137,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (508,TO_TIMESTAMP('18-JUL-2021 07.02.55.168789025','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (509,TO_TIMESTAMP('18-JUL-2021 08.23.38.905534645','DD-MON-YYYY HH24.MI.SS.FF'),303,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (510,TO_TIMESTAMP('18-JUL-2021 16.08.53.273510712','DD-MON-YYYY HH24.MI.SS.FF'),322,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (511,TO_TIMESTAMP('19-JUL-2021 06.24.36.024191876','DD-MON-YYYY HH24.MI.SS.FF'),22,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (512,TO_TIMESTAMP('19-JUL-2021 13.23.02.420484056','DD-MON-YYYY HH24.MI.SS.FF'),235,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (513,TO_TIMESTAMP('19-JUL-2021 18.56.11.226657195','DD-MON-YYYY HH24.MI.SS.FF'),15,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (514,TO_TIMESTAMP('19-JUL-2021 21.45.49.857019987','DD-MON-YYYY HH24.MI.SS.FF'),63,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (515,TO_TIMESTAMP('20-JUL-2021 07.46.03.519737388','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (516,TO_TIMESTAMP('20-JUL-2021 09.27.10.320115826','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (517,TO_TIMESTAMP('20-JUL-2021 13.10.36.471178940','DD-MON-YYYY HH24.MI.SS.FF'),302,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (518,TO_TIMESTAMP('20-JUL-2021 23.17.00.206063305','DD-MON-YYYY HH24.MI.SS.FF'),125,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (519,TO_TIMESTAMP('21-JUL-2021 03.18.41.655387704','DD-MON-YYYY HH24.MI.SS.FF'),207,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (520,TO_TIMESTAMP('21-JUL-2021 03.43.19.692079819','DD-MON-YYYY HH24.MI.SS.FF'),35,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (521,TO_TIMESTAMP('21-JUL-2021 19.48.35.960116815','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (522,TO_TIMESTAMP('21-JUL-2021 22.26.24.011448741','DD-MON-YYYY HH24.MI.SS.FF'),298,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (523,TO_TIMESTAMP('22-JUL-2021 03.48.55.168426529','DD-MON-YYYY HH24.MI.SS.FF'),60,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (524,TO_TIMESTAMP('22-JUL-2021 05.04.17.793870751','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (525,TO_TIMESTAMP('22-JUL-2021 09.17.03.474462928','DD-MON-YYYY HH24.MI.SS.FF'),43,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (526,TO_TIMESTAMP('22-JUL-2021 11.12.28.243665909','DD-MON-YYYY HH24.MI.SS.FF'),127,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (527,TO_TIMESTAMP('22-JUL-2021 20.52.15.446328165','DD-MON-YYYY HH24.MI.SS.FF'),272,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (528,TO_TIMESTAMP('22-JUL-2021 23.13.37.696838573','DD-MON-YYYY HH24.MI.SS.FF'),143,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (529,TO_TIMESTAMP('23-JUL-2021 00.04.45.156364163','DD-MON-YYYY HH24.MI.SS.FF'),253,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (530,TO_TIMESTAMP('23-JUL-2021 00.34.23.912105456','DD-MON-YYYY HH24.MI.SS.FF'),311,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (531,TO_TIMESTAMP('23-JUL-2021 05.05.55.044286977','DD-MON-YYYY HH24.MI.SS.FF'),237,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (532,TO_TIMESTAMP('24-JUL-2021 00.21.26.392388174','DD-MON-YYYY HH24.MI.SS.FF'),251,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (533,TO_TIMESTAMP('24-JUL-2021 05.11.45.232234099','DD-MON-YYYY HH24.MI.SS.FF'),130,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (534,TO_TIMESTAMP('24-JUL-2021 07.24.32.435382205','DD-MON-YYYY HH24.MI.SS.FF'),362,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (535,TO_TIMESTAMP('24-JUL-2021 16.22.23.835996395','DD-MON-YYYY HH24.MI.SS.FF'),319,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (536,TO_TIMESTAMP('25-JUL-2021 00.13.16.489715442','DD-MON-YYYY HH24.MI.SS.FF'),370,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (537,TO_TIMESTAMP('25-JUL-2021 05.52.23.114148547','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (538,TO_TIMESTAMP('25-JUL-2021 20.21.44.444838668','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (539,TO_TIMESTAMP('26-JUL-2021 02.02.47.515771899','DD-MON-YYYY HH24.MI.SS.FF'),31,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (540,TO_TIMESTAMP('26-JUL-2021 03.25.27.554822189','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (541,TO_TIMESTAMP('26-JUL-2021 06.31.27.943978918','DD-MON-YYYY HH24.MI.SS.FF'),173,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (542,TO_TIMESTAMP('26-JUL-2021 17.17.34.191620990','DD-MON-YYYY HH24.MI.SS.FF'),216,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (543,TO_TIMESTAMP('26-JUL-2021 18.25.34.497566936','DD-MON-YYYY HH24.MI.SS.FF'),357,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (544,TO_TIMESTAMP('27-JUL-2021 05.27.59.314441172','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (545,TO_TIMESTAMP('27-JUL-2021 06.39.03.155480058','DD-MON-YYYY HH24.MI.SS.FF'),35,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (546,TO_TIMESTAMP('27-JUL-2021 07.31.29.931958179','DD-MON-YYYY HH24.MI.SS.FF'),60,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (547,TO_TIMESTAMP('27-JUL-2021 19.04.57.170182479','DD-MON-YYYY HH24.MI.SS.FF'),72,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (548,TO_TIMESTAMP('28-JUL-2021 03.51.10.156535511','DD-MON-YYYY HH24.MI.SS.FF'),140,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (549,TO_TIMESTAMP('28-JUL-2021 04.59.35.830939662','DD-MON-YYYY HH24.MI.SS.FF'),385,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (550,TO_TIMESTAMP('28-JUL-2021 06.58.15.482354281','DD-MON-YYYY HH24.MI.SS.FF'),313,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (551,TO_TIMESTAMP('28-JUL-2021 11.15.37.439485134','DD-MON-YYYY HH24.MI.SS.FF'),190,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (552,TO_TIMESTAMP('28-JUL-2021 17.58.38.204063469','DD-MON-YYYY HH24.MI.SS.FF'),209,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (553,TO_TIMESTAMP('29-JUL-2021 02.37.41.477368435','DD-MON-YYYY HH24.MI.SS.FF'),35,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (554,TO_TIMESTAMP('29-JUL-2021 03.07.41.970743114','DD-MON-YYYY HH24.MI.SS.FF'),93,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (555,TO_TIMESTAMP('29-JUL-2021 05.46.33.142281367','DD-MON-YYYY HH24.MI.SS.FF'),105,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (556,TO_TIMESTAMP('29-JUL-2021 10.22.43.228164949','DD-MON-YYYY HH24.MI.SS.FF'),143,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (557,TO_TIMESTAMP('29-JUL-2021 11.42.07.617498877','DD-MON-YYYY HH24.MI.SS.FF'),221,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (558,TO_TIMESTAMP('29-JUL-2021 15.05.23.265620823','DD-MON-YYYY HH24.MI.SS.FF'),206,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (559,TO_TIMESTAMP('29-JUL-2021 19.12.18.119672532','DD-MON-YYYY HH24.MI.SS.FF'),38,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (560,TO_TIMESTAMP('30-JUL-2021 10.29.04.605871173','DD-MON-YYYY HH24.MI.SS.FF'),235,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (561,TO_TIMESTAMP('30-JUL-2021 14.18.10.461677513','DD-MON-YYYY HH24.MI.SS.FF'),38,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (562,TO_TIMESTAMP('30-JUL-2021 19.18.50.344363245','DD-MON-YYYY HH24.MI.SS.FF'),87,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (563,TO_TIMESTAMP('30-JUL-2021 21.56.13.089169199','DD-MON-YYYY HH24.MI.SS.FF'),213,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (564,TO_TIMESTAMP('31-JUL-2021 03.44.00.595903744','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (565,TO_TIMESTAMP('31-JUL-2021 08.08.18.622635917','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (566,TO_TIMESTAMP('31-JUL-2021 19.12.05.186430271','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (567,TO_TIMESTAMP('01-AUG-2021 03.18.04.758217902','DD-MON-YYYY HH24.MI.SS.FF'),391,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (568,TO_TIMESTAMP('01-AUG-2021 05.44.28.531220742','DD-MON-YYYY HH24.MI.SS.FF'),97,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (569,TO_TIMESTAMP('01-AUG-2021 07.07.00.699907655','DD-MON-YYYY HH24.MI.SS.FF'),291,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (570,TO_TIMESTAMP('01-AUG-2021 12.32.22.921509287','DD-MON-YYYY HH24.MI.SS.FF'),343,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (571,TO_TIMESTAMP('01-AUG-2021 12.44.23.064383016','DD-MON-YYYY HH24.MI.SS.FF'),273,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (572,TO_TIMESTAMP('02-AUG-2021 03.12.33.392862858','DD-MON-YYYY HH24.MI.SS.FF'),368,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (573,TO_TIMESTAMP('02-AUG-2021 06.15.01.651826296','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (574,TO_TIMESTAMP('02-AUG-2021 22.50.44.818047666','DD-MON-YYYY HH24.MI.SS.FF'),101,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (575,TO_TIMESTAMP('03-AUG-2021 17.28.56.209899846','DD-MON-YYYY HH24.MI.SS.FF'),118,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (576,TO_TIMESTAMP('03-AUG-2021 18.26.37.755665140','DD-MON-YYYY HH24.MI.SS.FF'),324,5,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (577,TO_TIMESTAMP('04-AUG-2021 00.26.33.307534657','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (578,TO_TIMESTAMP('04-AUG-2021 05.43.41.322548009','DD-MON-YYYY HH24.MI.SS.FF'),218,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (579,TO_TIMESTAMP('04-AUG-2021 09.46.37.711059004','DD-MON-YYYY HH24.MI.SS.FF'),121,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (580,TO_TIMESTAMP('04-AUG-2021 11.12.45.823904913','DD-MON-YYYY HH24.MI.SS.FF'),235,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (581,TO_TIMESTAMP('04-AUG-2021 15.56.31.242167190','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (582,TO_TIMESTAMP('05-AUG-2021 03.04.10.185501299','DD-MON-YYYY HH24.MI.SS.FF'),215,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (583,TO_TIMESTAMP('05-AUG-2021 15.05.56.796292857','DD-MON-YYYY HH24.MI.SS.FF'),205,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (584,TO_TIMESTAMP('05-AUG-2021 16.28.57.315682422','DD-MON-YYYY HH24.MI.SS.FF'),67,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (585,TO_TIMESTAMP('05-AUG-2021 21.58.27.792725571','DD-MON-YYYY HH24.MI.SS.FF'),4,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (586,TO_TIMESTAMP('05-AUG-2021 23.25.44.176862343','DD-MON-YYYY HH24.MI.SS.FF'),131,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (587,TO_TIMESTAMP('06-AUG-2021 00.40.22.384175122','DD-MON-YYYY HH24.MI.SS.FF'),82,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (588,TO_TIMESTAMP('06-AUG-2021 14.03.11.935244976','DD-MON-YYYY HH24.MI.SS.FF'),110,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (589,TO_TIMESTAMP('07-AUG-2021 01.20.22.656527431','DD-MON-YYYY HH24.MI.SS.FF'),284,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (590,TO_TIMESTAMP('07-AUG-2021 04.16.39.986021927','DD-MON-YYYY HH24.MI.SS.FF'),60,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (591,TO_TIMESTAMP('07-AUG-2021 06.30.15.027108504','DD-MON-YYYY HH24.MI.SS.FF'),35,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (592,TO_TIMESTAMP('07-AUG-2021 11.51.18.255625060','DD-MON-YYYY HH24.MI.SS.FF'),123,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (593,TO_TIMESTAMP('08-AUG-2021 06.29.45.074057913','DD-MON-YYYY HH24.MI.SS.FF'),152,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (594,TO_TIMESTAMP('08-AUG-2021 09.50.22.291724098','DD-MON-YYYY HH24.MI.SS.FF'),358,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (595,TO_TIMESTAMP('08-AUG-2021 13.52.43.842898934','DD-MON-YYYY HH24.MI.SS.FF'),378,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (596,TO_TIMESTAMP('09-AUG-2021 01.41.01.659933202','DD-MON-YYYY HH24.MI.SS.FF'),357,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (597,TO_TIMESTAMP('09-AUG-2021 11.45.14.486680261','DD-MON-YYYY HH24.MI.SS.FF'),269,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (598,TO_TIMESTAMP('09-AUG-2021 17.37.40.628191864','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (599,TO_TIMESTAMP('09-AUG-2021 20.32.40.739523914','DD-MON-YYYY HH24.MI.SS.FF'),43,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (600,TO_TIMESTAMP('09-AUG-2021 20.39.56.960874663','DD-MON-YYYY HH24.MI.SS.FF'),147,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (601,TO_TIMESTAMP('10-AUG-2021 06.40.52.690160203','DD-MON-YYYY HH24.MI.SS.FF'),59,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (602,TO_TIMESTAMP('10-AUG-2021 16.09.10.832824495','DD-MON-YYYY HH24.MI.SS.FF'),24,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (603,TO_TIMESTAMP('10-AUG-2021 23.25.12.414217369','DD-MON-YYYY HH24.MI.SS.FF'),260,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (604,TO_TIMESTAMP('11-AUG-2021 00.18.04.660985281','DD-MON-YYYY HH24.MI.SS.FF'),346,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (605,TO_TIMESTAMP('11-AUG-2021 01.49.40.372511947','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (606,TO_TIMESTAMP('11-AUG-2021 12.38.31.222720980','DD-MON-YYYY HH24.MI.SS.FF'),28,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (607,TO_TIMESTAMP('11-AUG-2021 14.55.36.251306157','DD-MON-YYYY HH24.MI.SS.FF'),377,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (608,TO_TIMESTAMP('11-AUG-2021 18.57.30.697703092','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (609,TO_TIMESTAMP('12-AUG-2021 00.33.44.711624123','DD-MON-YYYY HH24.MI.SS.FF'),187,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (610,TO_TIMESTAMP('12-AUG-2021 06.47.12.324465629','DD-MON-YYYY HH24.MI.SS.FF'),383,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (611,TO_TIMESTAMP('12-AUG-2021 14.28.50.738167861','DD-MON-YYYY HH24.MI.SS.FF'),274,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (612,TO_TIMESTAMP('12-AUG-2021 15.58.10.048869067','DD-MON-YYYY HH24.MI.SS.FF'),369,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (613,TO_TIMESTAMP('12-AUG-2021 19.56.06.454744525','DD-MON-YYYY HH24.MI.SS.FF'),384,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (614,TO_TIMESTAMP('12-AUG-2021 23.37.33.994116235','DD-MON-YYYY HH24.MI.SS.FF'),321,2,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (615,TO_TIMESTAMP('12-AUG-2021 23.48.30.451651771','DD-MON-YYYY HH24.MI.SS.FF'),338,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (616,TO_TIMESTAMP('13-AUG-2021 07.00.59.565807084','DD-MON-YYYY HH24.MI.SS.FF'),318,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (617,TO_TIMESTAMP('13-AUG-2021 07.50.52.234729993','DD-MON-YYYY HH24.MI.SS.FF'),265,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (618,TO_TIMESTAMP('13-AUG-2021 08.53.08.143929322','DD-MON-YYYY HH24.MI.SS.FF'),113,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (619,TO_TIMESTAMP('13-AUG-2021 09.45.08.381544720','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (620,TO_TIMESTAMP('13-AUG-2021 17.30.16.070349347','DD-MON-YYYY HH24.MI.SS.FF'),126,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (621,TO_TIMESTAMP('13-AUG-2021 18.42.28.994965198','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (622,TO_TIMESTAMP('13-AUG-2021 19.51.19.906871516','DD-MON-YYYY HH24.MI.SS.FF'),154,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (623,TO_TIMESTAMP('13-AUG-2021 20.26.15.569804803','DD-MON-YYYY HH24.MI.SS.FF'),198,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (624,TO_TIMESTAMP('13-AUG-2021 20.55.10.866475569','DD-MON-YYYY HH24.MI.SS.FF'),120,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (625,TO_TIMESTAMP('14-AUG-2021 01.52.09.190467189','DD-MON-YYYY HH24.MI.SS.FF'),147,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (626,TO_TIMESTAMP('14-AUG-2021 08.45.06.260878654','DD-MON-YYYY HH24.MI.SS.FF'),125,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (627,TO_TIMESTAMP('14-AUG-2021 10.04.47.704704558','DD-MON-YYYY HH24.MI.SS.FF'),294,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (628,TO_TIMESTAMP('14-AUG-2021 11.35.19.808349557','DD-MON-YYYY HH24.MI.SS.FF'),225,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (629,TO_TIMESTAMP('14-AUG-2021 14.27.23.844893530','DD-MON-YYYY HH24.MI.SS.FF'),242,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (630,TO_TIMESTAMP('14-AUG-2021 16.23.30.498189760','DD-MON-YYYY HH24.MI.SS.FF'),305,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (631,TO_TIMESTAMP('15-AUG-2021 04.38.12.127347876','DD-MON-YYYY HH24.MI.SS.FF'),264,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (632,TO_TIMESTAMP('15-AUG-2021 14.32.01.222940860','DD-MON-YYYY HH24.MI.SS.FF'),98,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (633,TO_TIMESTAMP('15-AUG-2021 14.57.24.692746503','DD-MON-YYYY HH24.MI.SS.FF'),227,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (634,TO_TIMESTAMP('16-AUG-2021 01.30.38.782604632','DD-MON-YYYY HH24.MI.SS.FF'),185,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (635,TO_TIMESTAMP('16-AUG-2021 17.47.22.306204194','DD-MON-YYYY HH24.MI.SS.FF'),24,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (636,TO_TIMESTAMP('16-AUG-2021 18.33.19.247645137','DD-MON-YYYY HH24.MI.SS.FF'),341,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (637,TO_TIMESTAMP('16-AUG-2021 19.55.03.437513634','DD-MON-YYYY HH24.MI.SS.FF'),237,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (638,TO_TIMESTAMP('17-AUG-2021 08.10.30.387009014','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (639,TO_TIMESTAMP('17-AUG-2021 18.02.11.307251690','DD-MON-YYYY HH24.MI.SS.FF'),188,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (640,TO_TIMESTAMP('17-AUG-2021 18.49.20.529670694','DD-MON-YYYY HH24.MI.SS.FF'),35,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (641,TO_TIMESTAMP('17-AUG-2021 19.50.15.891283972','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (642,TO_TIMESTAMP('17-AUG-2021 23.53.13.318059984','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (643,TO_TIMESTAMP('18-AUG-2021 00.14.13.947552043','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (644,TO_TIMESTAMP('18-AUG-2021 08.30.45.490460955','DD-MON-YYYY HH24.MI.SS.FF'),390,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (645,TO_TIMESTAMP('18-AUG-2021 09.00.02.055347316','DD-MON-YYYY HH24.MI.SS.FF'),105,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (646,TO_TIMESTAMP('18-AUG-2021 13.01.43.274137385','DD-MON-YYYY HH24.MI.SS.FF'),320,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (647,TO_TIMESTAMP('18-AUG-2021 13.07.39.150868144','DD-MON-YYYY HH24.MI.SS.FF'),351,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (648,TO_TIMESTAMP('18-AUG-2021 14.18.38.793981502','DD-MON-YYYY HH24.MI.SS.FF'),215,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (649,TO_TIMESTAMP('18-AUG-2021 15.51.21.662378420','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (650,TO_TIMESTAMP('18-AUG-2021 21.14.47.250248654','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (651,TO_TIMESTAMP('19-AUG-2021 01.53.39.559818129','DD-MON-YYYY HH24.MI.SS.FF'),300,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (652,TO_TIMESTAMP('19-AUG-2021 10.38.17.057078459','DD-MON-YYYY HH24.MI.SS.FF'),374,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (653,TO_TIMESTAMP('19-AUG-2021 14.25.43.328933380','DD-MON-YYYY HH24.MI.SS.FF'),293,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (654,TO_TIMESTAMP('19-AUG-2021 17.44.07.531012717','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (655,TO_TIMESTAMP('19-AUG-2021 22.56.02.147141282','DD-MON-YYYY HH24.MI.SS.FF'),197,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (656,TO_TIMESTAMP('20-AUG-2021 05.10.10.220743588','DD-MON-YYYY HH24.MI.SS.FF'),70,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (657,TO_TIMESTAMP('20-AUG-2021 07.35.41.550415803','DD-MON-YYYY HH24.MI.SS.FF'),322,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (658,TO_TIMESTAMP('20-AUG-2021 20.01.16.210405062','DD-MON-YYYY HH24.MI.SS.FF'),112,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (659,TO_TIMESTAMP('20-AUG-2021 23.39.24.501588838','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (660,TO_TIMESTAMP('21-AUG-2021 13.56.29.573369478','DD-MON-YYYY HH24.MI.SS.FF'),297,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (661,TO_TIMESTAMP('21-AUG-2021 23.06.01.341299741','DD-MON-YYYY HH24.MI.SS.FF'),379,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (662,TO_TIMESTAMP('22-AUG-2021 02.19.22.696019744','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (663,TO_TIMESTAMP('22-AUG-2021 13.51.58.014547952','DD-MON-YYYY HH24.MI.SS.FF'),352,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (664,TO_TIMESTAMP('22-AUG-2021 14.35.01.190292627','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (665,TO_TIMESTAMP('22-AUG-2021 19.34.56.392267261','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (666,TO_TIMESTAMP('22-AUG-2021 21.20.56.509026055','DD-MON-YYYY HH24.MI.SS.FF'),336,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (667,TO_TIMESTAMP('23-AUG-2021 01.23.01.964471171','DD-MON-YYYY HH24.MI.SS.FF'),235,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (668,TO_TIMESTAMP('23-AUG-2021 06.46.28.630475804','DD-MON-YYYY HH24.MI.SS.FF'),87,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (669,TO_TIMESTAMP('23-AUG-2021 09.00.05.233873403','DD-MON-YYYY HH24.MI.SS.FF'),36,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (670,TO_TIMESTAMP('23-AUG-2021 09.57.41.246561460','DD-MON-YYYY HH24.MI.SS.FF'),198,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (671,TO_TIMESTAMP('23-AUG-2021 11.52.50.318003778','DD-MON-YYYY HH24.MI.SS.FF'),265,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (672,TO_TIMESTAMP('23-AUG-2021 12.33.23.328944986','DD-MON-YYYY HH24.MI.SS.FF'),4,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (673,TO_TIMESTAMP('23-AUG-2021 13.23.00.223443305','DD-MON-YYYY HH24.MI.SS.FF'),61,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (674,TO_TIMESTAMP('23-AUG-2021 14.23.06.627376763','DD-MON-YYYY HH24.MI.SS.FF'),155,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (675,TO_TIMESTAMP('23-AUG-2021 17.52.59.692502737','DD-MON-YYYY HH24.MI.SS.FF'),120,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (676,TO_TIMESTAMP('23-AUG-2021 21.00.55.391638514','DD-MON-YYYY HH24.MI.SS.FF'),331,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (677,TO_TIMESTAMP('23-AUG-2021 23.26.29.773530804','DD-MON-YYYY HH24.MI.SS.FF'),89,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (678,TO_TIMESTAMP('24-AUG-2021 08.51.35.782586947','DD-MON-YYYY HH24.MI.SS.FF'),366,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (679,TO_TIMESTAMP('24-AUG-2021 13.39.43.609188070','DD-MON-YYYY HH24.MI.SS.FF'),310,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (680,TO_TIMESTAMP('24-AUG-2021 17.47.27.445778805','DD-MON-YYYY HH24.MI.SS.FF'),145,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (681,TO_TIMESTAMP('24-AUG-2021 21.05.22.350725703','DD-MON-YYYY HH24.MI.SS.FF'),264,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (682,TO_TIMESTAMP('26-AUG-2021 04.19.34.946886875','DD-MON-YYYY HH24.MI.SS.FF'),283,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (683,TO_TIMESTAMP('26-AUG-2021 05.13.53.182461016','DD-MON-YYYY HH24.MI.SS.FF'),209,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (684,TO_TIMESTAMP('26-AUG-2021 07.25.53.889569911','DD-MON-YYYY HH24.MI.SS.FF'),291,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (685,TO_TIMESTAMP('27-AUG-2021 00.54.40.473128477','DD-MON-YYYY HH24.MI.SS.FF'),190,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (686,TO_TIMESTAMP('27-AUG-2021 02.36.39.643227869','DD-MON-YYYY HH24.MI.SS.FF'),373,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (687,TO_TIMESTAMP('27-AUG-2021 11.04.59.797479448','DD-MON-YYYY HH24.MI.SS.FF'),16,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (688,TO_TIMESTAMP('27-AUG-2021 19.16.28.137786948','DD-MON-YYYY HH24.MI.SS.FF'),189,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (689,TO_TIMESTAMP('27-AUG-2021 20.48.27.253284339','DD-MON-YYYY HH24.MI.SS.FF'),268,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (690,TO_TIMESTAMP('27-AUG-2021 22.51.59.792307032','DD-MON-YYYY HH24.MI.SS.FF'),174,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (691,TO_TIMESTAMP('28-AUG-2021 03.13.17.161851965','DD-MON-YYYY HH24.MI.SS.FF'),38,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (692,TO_TIMESTAMP('28-AUG-2021 06.18.52.488694823','DD-MON-YYYY HH24.MI.SS.FF'),353,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (693,TO_TIMESTAMP('28-AUG-2021 07.55.18.145806758','DD-MON-YYYY HH24.MI.SS.FF'),333,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (694,TO_TIMESTAMP('28-AUG-2021 14.32.05.154559641','DD-MON-YYYY HH24.MI.SS.FF'),97,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (695,TO_TIMESTAMP('28-AUG-2021 17.14.33.547688321','DD-MON-YYYY HH24.MI.SS.FF'),299,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (696,TO_TIMESTAMP('29-AUG-2021 01.48.01.954584600','DD-MON-YYYY HH24.MI.SS.FF'),126,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (697,TO_TIMESTAMP('29-AUG-2021 02.55.23.125062039','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (698,TO_TIMESTAMP('29-AUG-2021 11.42.50.710741246','DD-MON-YYYY HH24.MI.SS.FF'),64,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (699,TO_TIMESTAMP('29-AUG-2021 17.02.02.999757759','DD-MON-YYYY HH24.MI.SS.FF'),285,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (700,TO_TIMESTAMP('30-AUG-2021 07.05.05.072828720','DD-MON-YYYY HH24.MI.SS.FF'),215,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (701,TO_TIMESTAMP('30-AUG-2021 09.49.14.145369845','DD-MON-YYYY HH24.MI.SS.FF'),372,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (702,TO_TIMESTAMP('30-AUG-2021 12.47.39.468002922','DD-MON-YYYY HH24.MI.SS.FF'),78,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (703,TO_TIMESTAMP('30-AUG-2021 14.45.14.547795063','DD-MON-YYYY HH24.MI.SS.FF'),354,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (704,TO_TIMESTAMP('30-AUG-2021 23.04.11.575065725','DD-MON-YYYY HH24.MI.SS.FF'),254,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (705,TO_TIMESTAMP('31-AUG-2021 00.35.43.045578650','DD-MON-YYYY HH24.MI.SS.FF'),239,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (706,TO_TIMESTAMP('31-AUG-2021 00.36.32.915133485','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (707,TO_TIMESTAMP('31-AUG-2021 05.08.24.306908974','DD-MON-YYYY HH24.MI.SS.FF'),5,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (708,TO_TIMESTAMP('31-AUG-2021 05.29.13.285429281','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (709,TO_TIMESTAMP('31-AUG-2021 07.41.20.300729664','DD-MON-YYYY HH24.MI.SS.FF'),111,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (710,TO_TIMESTAMP('31-AUG-2021 09.42.59.706991352','DD-MON-YYYY HH24.MI.SS.FF'),139,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (711,TO_TIMESTAMP('31-AUG-2021 12.31.44.406757394','DD-MON-YYYY HH24.MI.SS.FF'),78,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (712,TO_TIMESTAMP('31-AUG-2021 20.50.58.445180047','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (713,TO_TIMESTAMP('01-SEP-2021 07.53.09.673877937','DD-MON-YYYY HH24.MI.SS.FF'),183,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (714,TO_TIMESTAMP('01-SEP-2021 16.17.47.714696855','DD-MON-YYYY HH24.MI.SS.FF'),249,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (715,TO_TIMESTAMP('01-SEP-2021 20.45.19.748226388','DD-MON-YYYY HH24.MI.SS.FF'),213,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (716,TO_TIMESTAMP('01-SEP-2021 22.56.49.213608218','DD-MON-YYYY HH24.MI.SS.FF'),313,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (717,TO_TIMESTAMP('02-SEP-2021 01.23.14.611048612','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (718,TO_TIMESTAMP('02-SEP-2021 03.12.07.328102400','DD-MON-YYYY HH24.MI.SS.FF'),57,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (719,TO_TIMESTAMP('02-SEP-2021 04.11.37.447585356','DD-MON-YYYY HH24.MI.SS.FF'),353,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (720,TO_TIMESTAMP('02-SEP-2021 04.16.42.347408954','DD-MON-YYYY HH24.MI.SS.FF'),284,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (721,TO_TIMESTAMP('02-SEP-2021 11.23.07.255069768','DD-MON-YYYY HH24.MI.SS.FF'),124,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (722,TO_TIMESTAMP('02-SEP-2021 20.29.24.738772819','DD-MON-YYYY HH24.MI.SS.FF'),42,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (723,TO_TIMESTAMP('02-SEP-2021 20.30.05.314999443','DD-MON-YYYY HH24.MI.SS.FF'),69,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (724,TO_TIMESTAMP('03-SEP-2021 01.49.24.549915092','DD-MON-YYYY HH24.MI.SS.FF'),64,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (725,TO_TIMESTAMP('03-SEP-2021 04.24.38.912826102','DD-MON-YYYY HH24.MI.SS.FF'),213,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (726,TO_TIMESTAMP('03-SEP-2021 05.47.05.030653098','DD-MON-YYYY HH24.MI.SS.FF'),103,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (727,TO_TIMESTAMP('03-SEP-2021 07.46.22.243702794','DD-MON-YYYY HH24.MI.SS.FF'),336,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (728,TO_TIMESTAMP('03-SEP-2021 07.56.32.425651345','DD-MON-YYYY HH24.MI.SS.FF'),124,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (729,TO_TIMESTAMP('03-SEP-2021 11.03.18.502018009','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (730,TO_TIMESTAMP('03-SEP-2021 11.39.37.925574061','DD-MON-YYYY HH24.MI.SS.FF'),309,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (731,TO_TIMESTAMP('03-SEP-2021 13.18.41.020440234','DD-MON-YYYY HH24.MI.SS.FF'),318,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (732,TO_TIMESTAMP('03-SEP-2021 14.23.10.404540746','DD-MON-YYYY HH24.MI.SS.FF'),171,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (733,TO_TIMESTAMP('03-SEP-2021 22.26.34.005670281','DD-MON-YYYY HH24.MI.SS.FF'),268,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (734,TO_TIMESTAMP('04-SEP-2021 07.27.33.335891028','DD-MON-YYYY HH24.MI.SS.FF'),183,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (735,TO_TIMESTAMP('04-SEP-2021 08.51.57.045059531','DD-MON-YYYY HH24.MI.SS.FF'),76,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (736,TO_TIMESTAMP('04-SEP-2021 10.54.18.024157019','DD-MON-YYYY HH24.MI.SS.FF'),380,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (737,TO_TIMESTAMP('04-SEP-2021 11.46.19.746288360','DD-MON-YYYY HH24.MI.SS.FF'),305,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (738,TO_TIMESTAMP('05-SEP-2021 00.59.01.413818990','DD-MON-YYYY HH24.MI.SS.FF'),199,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (739,TO_TIMESTAMP('05-SEP-2021 07.03.04.952527192','DD-MON-YYYY HH24.MI.SS.FF'),159,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (740,TO_TIMESTAMP('05-SEP-2021 11.38.16.611989142','DD-MON-YYYY HH24.MI.SS.FF'),372,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (741,TO_TIMESTAMP('05-SEP-2021 11.55.38.952053221','DD-MON-YYYY HH24.MI.SS.FF'),310,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (742,TO_TIMESTAMP('05-SEP-2021 14.59.13.679487842','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (743,TO_TIMESTAMP('05-SEP-2021 15.58.40.557732995','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (744,TO_TIMESTAMP('05-SEP-2021 16.55.33.170449631','DD-MON-YYYY HH24.MI.SS.FF'),384,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (745,TO_TIMESTAMP('05-SEP-2021 17.37.50.846480886','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (746,TO_TIMESTAMP('05-SEP-2021 22.57.17.869834003','DD-MON-YYYY HH24.MI.SS.FF'),263,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (747,TO_TIMESTAMP('06-SEP-2021 08.13.07.654182238','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (748,TO_TIMESTAMP('06-SEP-2021 15.18.59.475249371','DD-MON-YYYY HH24.MI.SS.FF'),214,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (749,TO_TIMESTAMP('06-SEP-2021 15.33.09.097739929','DD-MON-YYYY HH24.MI.SS.FF'),148,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (750,TO_TIMESTAMP('06-SEP-2021 16.14.45.618894895','DD-MON-YYYY HH24.MI.SS.FF'),25,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (751,TO_TIMESTAMP('06-SEP-2021 18.27.18.074840188','DD-MON-YYYY HH24.MI.SS.FF'),225,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (752,TO_TIMESTAMP('06-SEP-2021 19.36.37.685127126','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (753,TO_TIMESTAMP('06-SEP-2021 22.55.53.270045065','DD-MON-YYYY HH24.MI.SS.FF'),342,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (754,TO_TIMESTAMP('07-SEP-2021 19.03.05.580764582','DD-MON-YYYY HH24.MI.SS.FF'),263,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (755,TO_TIMESTAMP('08-SEP-2021 03.42.08.833055881','DD-MON-YYYY HH24.MI.SS.FF'),46,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (756,TO_TIMESTAMP('08-SEP-2021 07.34.25.534404947','DD-MON-YYYY HH24.MI.SS.FF'),179,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (757,TO_TIMESTAMP('08-SEP-2021 08.01.01.000139021','DD-MON-YYYY HH24.MI.SS.FF'),324,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (758,TO_TIMESTAMP('08-SEP-2021 14.07.25.178236857','DD-MON-YYYY HH24.MI.SS.FF'),79,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (759,TO_TIMESTAMP('08-SEP-2021 16.05.51.824864070','DD-MON-YYYY HH24.MI.SS.FF'),133,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (760,TO_TIMESTAMP('08-SEP-2021 18.15.42.375826425','DD-MON-YYYY HH24.MI.SS.FF'),19,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (761,TO_TIMESTAMP('08-SEP-2021 19.31.00.472756546','DD-MON-YYYY HH24.MI.SS.FF'),11,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (762,TO_TIMESTAMP('08-SEP-2021 22.04.12.315090208','DD-MON-YYYY HH24.MI.SS.FF'),226,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (763,TO_TIMESTAMP('08-SEP-2021 23.49.09.093577027','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (764,TO_TIMESTAMP('09-SEP-2021 04.41.26.437709534','DD-MON-YYYY HH24.MI.SS.FF'),55,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (765,TO_TIMESTAMP('09-SEP-2021 08.32.41.319897611','DD-MON-YYYY HH24.MI.SS.FF'),2,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (766,TO_TIMESTAMP('09-SEP-2021 11.33.57.269602924','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (767,TO_TIMESTAMP('09-SEP-2021 12.21.28.182320067','DD-MON-YYYY HH24.MI.SS.FF'),308,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (768,TO_TIMESTAMP('09-SEP-2021 12.50.24.763108297','DD-MON-YYYY HH24.MI.SS.FF'),350,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (769,TO_TIMESTAMP('09-SEP-2021 13.45.17.970633845','DD-MON-YYYY HH24.MI.SS.FF'),6,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (770,TO_TIMESTAMP('09-SEP-2021 14.18.25.902119068','DD-MON-YYYY HH24.MI.SS.FF'),177,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (771,TO_TIMESTAMP('09-SEP-2021 16.04.05.528221360','DD-MON-YYYY HH24.MI.SS.FF'),231,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (772,TO_TIMESTAMP('10-SEP-2021 06.39.41.339912833','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (773,TO_TIMESTAMP('10-SEP-2021 08.18.11.188633242','DD-MON-YYYY HH24.MI.SS.FF'),297,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (774,TO_TIMESTAMP('10-SEP-2021 09.50.35.377518569','DD-MON-YYYY HH24.MI.SS.FF'),352,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (775,TO_TIMESTAMP('10-SEP-2021 10.54.11.803050689','DD-MON-YYYY HH24.MI.SS.FF'),381,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (776,TO_TIMESTAMP('10-SEP-2021 10.58.16.900298974','DD-MON-YYYY HH24.MI.SS.FF'),152,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (777,TO_TIMESTAMP('10-SEP-2021 10.59.24.359563821','DD-MON-YYYY HH24.MI.SS.FF'),256,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (778,TO_TIMESTAMP('10-SEP-2021 23.50.25.599733061','DD-MON-YYYY HH24.MI.SS.FF'),308,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (779,TO_TIMESTAMP('11-SEP-2021 05.42.57.945745532','DD-MON-YYYY HH24.MI.SS.FF'),76,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (780,TO_TIMESTAMP('11-SEP-2021 18.11.01.099760143','DD-MON-YYYY HH24.MI.SS.FF'),111,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (781,TO_TIMESTAMP('11-SEP-2021 21.40.57.340583993','DD-MON-YYYY HH24.MI.SS.FF'),99,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (782,TO_TIMESTAMP('12-SEP-2021 04.28.33.420329996','DD-MON-YYYY HH24.MI.SS.FF'),40,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (783,TO_TIMESTAMP('12-SEP-2021 08.01.03.883806471','DD-MON-YYYY HH24.MI.SS.FF'),194,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (784,TO_TIMESTAMP('12-SEP-2021 11.03.07.207028074','DD-MON-YYYY HH24.MI.SS.FF'),39,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (785,TO_TIMESTAMP('12-SEP-2021 14.52.35.086045298','DD-MON-YYYY HH24.MI.SS.FF'),156,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (786,TO_TIMESTAMP('12-SEP-2021 16.27.44.559650116','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (787,TO_TIMESTAMP('12-SEP-2021 17.12.41.475137693','DD-MON-YYYY HH24.MI.SS.FF'),294,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (788,TO_TIMESTAMP('12-SEP-2021 18.13.36.691307890','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (789,TO_TIMESTAMP('12-SEP-2021 20.27.06.543199990','DD-MON-YYYY HH24.MI.SS.FF'),264,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (790,TO_TIMESTAMP('13-SEP-2021 01.02.00.106399089','DD-MON-YYYY HH24.MI.SS.FF'),178,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (791,TO_TIMESTAMP('13-SEP-2021 02.44.31.602510043','DD-MON-YYYY HH24.MI.SS.FF'),123,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (792,TO_TIMESTAMP('13-SEP-2021 04.00.07.171603906','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (793,TO_TIMESTAMP('13-SEP-2021 13.35.16.589378198','DD-MON-YYYY HH24.MI.SS.FF'),189,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (794,TO_TIMESTAMP('13-SEP-2021 14.43.07.711019675','DD-MON-YYYY HH24.MI.SS.FF'),326,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (795,TO_TIMESTAMP('13-SEP-2021 21.54.11.860986676','DD-MON-YYYY HH24.MI.SS.FF'),33,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (796,TO_TIMESTAMP('14-SEP-2021 03.49.09.408124706','DD-MON-YYYY HH24.MI.SS.FF'),124,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (797,TO_TIMESTAMP('14-SEP-2021 12.34.45.663631766','DD-MON-YYYY HH24.MI.SS.FF'),71,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (798,TO_TIMESTAMP('14-SEP-2021 20.57.11.301929061','DD-MON-YYYY HH24.MI.SS.FF'),263,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (799,TO_TIMESTAMP('15-SEP-2021 02.14.38.589427928','DD-MON-YYYY HH24.MI.SS.FF'),332,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (800,TO_TIMESTAMP('15-SEP-2021 04.15.57.350476731','DD-MON-YYYY HH24.MI.SS.FF'),136,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (801,TO_TIMESTAMP('15-SEP-2021 10.29.28.102272583','DD-MON-YYYY HH24.MI.SS.FF'),344,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (802,TO_TIMESTAMP('15-SEP-2021 14.51.22.725332597','DD-MON-YYYY HH24.MI.SS.FF'),381,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (803,TO_TIMESTAMP('16-SEP-2021 00.59.07.298133936','DD-MON-YYYY HH24.MI.SS.FF'),299,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (804,TO_TIMESTAMP('16-SEP-2021 01.50.55.331837283','DD-MON-YYYY HH24.MI.SS.FF'),107,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (805,TO_TIMESTAMP('16-SEP-2021 03.24.41.791705464','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (806,TO_TIMESTAMP('16-SEP-2021 16.02.36.192734221','DD-MON-YYYY HH24.MI.SS.FF'),63,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (807,TO_TIMESTAMP('16-SEP-2021 20.21.02.742335100','DD-MON-YYYY HH24.MI.SS.FF'),289,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (808,TO_TIMESTAMP('17-SEP-2021 15.02.22.353312886','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (809,TO_TIMESTAMP('17-SEP-2021 21.37.42.477630644','DD-MON-YYYY HH24.MI.SS.FF'),326,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (810,TO_TIMESTAMP('18-SEP-2021 08.12.35.904514103','DD-MON-YYYY HH24.MI.SS.FF'),66,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (811,TO_TIMESTAMP('18-SEP-2021 21.04.41.210374616','DD-MON-YYYY HH24.MI.SS.FF'),37,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (812,TO_TIMESTAMP('18-SEP-2021 23.49.38.313869014','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (813,TO_TIMESTAMP('19-SEP-2021 01.09.22.189744081','DD-MON-YYYY HH24.MI.SS.FF'),383,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (814,TO_TIMESTAMP('19-SEP-2021 10.58.39.958787541','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (815,TO_TIMESTAMP('19-SEP-2021 12.48.58.570307596','DD-MON-YYYY HH24.MI.SS.FF'),322,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (816,TO_TIMESTAMP('19-SEP-2021 15.07.32.513277190','DD-MON-YYYY HH24.MI.SS.FF'),85,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (817,TO_TIMESTAMP('19-SEP-2021 16.01.13.551826323','DD-MON-YYYY HH24.MI.SS.FF'),120,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (818,TO_TIMESTAMP('19-SEP-2021 17.02.37.540133720','DD-MON-YYYY HH24.MI.SS.FF'),204,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (819,TO_TIMESTAMP('19-SEP-2021 23.19.53.704494425','DD-MON-YYYY HH24.MI.SS.FF'),141,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (820,TO_TIMESTAMP('19-SEP-2021 23.57.34.254779475','DD-MON-YYYY HH24.MI.SS.FF'),102,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (821,TO_TIMESTAMP('20-SEP-2021 01.29.22.917125525','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (822,TO_TIMESTAMP('20-SEP-2021 07.22.34.879258511','DD-MON-YYYY HH24.MI.SS.FF'),54,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (823,TO_TIMESTAMP('20-SEP-2021 13.41.09.486273203','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (824,TO_TIMESTAMP('20-SEP-2021 19.29.46.761878324','DD-MON-YYYY HH24.MI.SS.FF'),157,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (825,TO_TIMESTAMP('21-SEP-2021 09.25.10.748598799','DD-MON-YYYY HH24.MI.SS.FF'),75,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (826,TO_TIMESTAMP('21-SEP-2021 12.10.43.523498036','DD-MON-YYYY HH24.MI.SS.FF'),28,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (827,TO_TIMESTAMP('21-SEP-2021 16.09.05.747851539','DD-MON-YYYY HH24.MI.SS.FF'),132,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (828,TO_TIMESTAMP('21-SEP-2021 18.03.49.739001992','DD-MON-YYYY HH24.MI.SS.FF'),380,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (829,TO_TIMESTAMP('21-SEP-2021 20.58.21.150004630','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (830,TO_TIMESTAMP('21-SEP-2021 21.30.25.117458514','DD-MON-YYYY HH24.MI.SS.FF'),222,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (831,TO_TIMESTAMP('21-SEP-2021 22.38.10.508444682','DD-MON-YYYY HH24.MI.SS.FF'),206,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (832,TO_TIMESTAMP('22-SEP-2021 10.12.29.878124646','DD-MON-YYYY HH24.MI.SS.FF'),3,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (833,TO_TIMESTAMP('22-SEP-2021 14.07.46.387682659','DD-MON-YYYY HH24.MI.SS.FF'),388,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (834,TO_TIMESTAMP('22-SEP-2021 16.45.34.647359736','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (835,TO_TIMESTAMP('22-SEP-2021 19.44.46.434859427','DD-MON-YYYY HH24.MI.SS.FF'),88,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (836,TO_TIMESTAMP('23-SEP-2021 04.00.34.172495457','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (837,TO_TIMESTAMP('23-SEP-2021 10.35.27.453563755','DD-MON-YYYY HH24.MI.SS.FF'),310,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (838,TO_TIMESTAMP('23-SEP-2021 18.31.18.439301014','DD-MON-YYYY HH24.MI.SS.FF'),213,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (839,TO_TIMESTAMP('24-SEP-2021 00.55.09.647617731','DD-MON-YYYY HH24.MI.SS.FF'),12,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (840,TO_TIMESTAMP('24-SEP-2021 05.10.37.457068287','DD-MON-YYYY HH24.MI.SS.FF'),330,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (841,TO_TIMESTAMP('24-SEP-2021 13.28.43.783624576','DD-MON-YYYY HH24.MI.SS.FF'),63,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (842,TO_TIMESTAMP('24-SEP-2021 14.51.32.606563783','DD-MON-YYYY HH24.MI.SS.FF'),220,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (843,TO_TIMESTAMP('24-SEP-2021 19.31.54.502757904','DD-MON-YYYY HH24.MI.SS.FF'),363,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (844,TO_TIMESTAMP('24-SEP-2021 22.57.28.430084828','DD-MON-YYYY HH24.MI.SS.FF'),303,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (845,TO_TIMESTAMP('25-SEP-2021 06.32.29.749193142','DD-MON-YYYY HH24.MI.SS.FF'),311,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (846,TO_TIMESTAMP('25-SEP-2021 09.41.08.539438252','DD-MON-YYYY HH24.MI.SS.FF'),350,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (847,TO_TIMESTAMP('25-SEP-2021 14.00.27.715942352','DD-MON-YYYY HH24.MI.SS.FF'),37,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (848,TO_TIMESTAMP('25-SEP-2021 15.02.58.589048522','DD-MON-YYYY HH24.MI.SS.FF'),51,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (849,TO_TIMESTAMP('26-SEP-2021 04.29.39.472853939','DD-MON-YYYY HH24.MI.SS.FF'),34,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (850,TO_TIMESTAMP('26-SEP-2021 05.05.32.180764101','DD-MON-YYYY HH24.MI.SS.FF'),146,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (851,TO_TIMESTAMP('26-SEP-2021 05.29.58.918586181','DD-MON-YYYY HH24.MI.SS.FF'),289,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (852,TO_TIMESTAMP('26-SEP-2021 06.00.22.730514292','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (853,TO_TIMESTAMP('26-SEP-2021 13.59.46.362938573','DD-MON-YYYY HH24.MI.SS.FF'),75,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (854,TO_TIMESTAMP('26-SEP-2021 15.09.25.986035854','DD-MON-YYYY HH24.MI.SS.FF'),119,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (855,TO_TIMESTAMP('27-SEP-2021 00.43.09.175221774','DD-MON-YYYY HH24.MI.SS.FF'),268,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (856,TO_TIMESTAMP('27-SEP-2021 11.30.33.005819382','DD-MON-YYYY HH24.MI.SS.FF'),180,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (857,TO_TIMESTAMP('27-SEP-2021 19.22.15.727043633','DD-MON-YYYY HH24.MI.SS.FF'),375,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (858,TO_TIMESTAMP('27-SEP-2021 21.36.02.260638743','DD-MON-YYYY HH24.MI.SS.FF'),40,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (859,TO_TIMESTAMP('28-SEP-2021 01.06.25.246670292','DD-MON-YYYY HH24.MI.SS.FF'),109,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (860,TO_TIMESTAMP('28-SEP-2021 04.38.00.949742094','DD-MON-YYYY HH24.MI.SS.FF'),346,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (861,TO_TIMESTAMP('28-SEP-2021 08.35.00.907490287','DD-MON-YYYY HH24.MI.SS.FF'),335,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (862,TO_TIMESTAMP('29-SEP-2021 01.30.09.602519487','DD-MON-YYYY HH24.MI.SS.FF'),7,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (863,TO_TIMESTAMP('29-SEP-2021 06.06.24.234940281','DD-MON-YYYY HH24.MI.SS.FF'),239,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (864,TO_TIMESTAMP('29-SEP-2021 07.40.39.620064435','DD-MON-YYYY HH24.MI.SS.FF'),153,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (865,TO_TIMESTAMP('29-SEP-2021 09.05.25.029499150','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (866,TO_TIMESTAMP('29-SEP-2021 19.39.01.710915517','DD-MON-YYYY HH24.MI.SS.FF'),324,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (867,TO_TIMESTAMP('29-SEP-2021 19.57.16.870456470','DD-MON-YYYY HH24.MI.SS.FF'),99,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (868,TO_TIMESTAMP('30-SEP-2021 03.11.40.392951593','DD-MON-YYYY HH24.MI.SS.FF'),185,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (869,TO_TIMESTAMP('30-SEP-2021 03.20.54.070037112','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (870,TO_TIMESTAMP('30-SEP-2021 03.30.18.925604459','DD-MON-YYYY HH24.MI.SS.FF'),97,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (871,TO_TIMESTAMP('30-SEP-2021 09.06.20.589936477','DD-MON-YYYY HH24.MI.SS.FF'),292,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (872,TO_TIMESTAMP('30-SEP-2021 09.30.39.448766852','DD-MON-YYYY HH24.MI.SS.FF'),332,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (873,TO_TIMESTAMP('30-SEP-2021 21.49.22.678803920','DD-MON-YYYY HH24.MI.SS.FF'),182,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (874,TO_TIMESTAMP('01-OCT-2021 01.37.02.762041329','DD-MON-YYYY HH24.MI.SS.FF'),281,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (875,TO_TIMESTAMP('01-OCT-2021 02.31.38.370994303','DD-MON-YYYY HH24.MI.SS.FF'),90,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (876,TO_TIMESTAMP('01-OCT-2021 06.48.31.580308667','DD-MON-YYYY HH24.MI.SS.FF'),349,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (877,TO_TIMESTAMP('01-OCT-2021 16.01.35.073518299','DD-MON-YYYY HH24.MI.SS.FF'),122,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (878,TO_TIMESTAMP('01-OCT-2021 17.03.41.096154299','DD-MON-YYYY HH24.MI.SS.FF'),350,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (879,TO_TIMESTAMP('01-OCT-2021 22.15.47.703199564','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (880,TO_TIMESTAMP('02-OCT-2021 07.17.53.238645738','DD-MON-YYYY HH24.MI.SS.FF'),224,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (881,TO_TIMESTAMP('02-OCT-2021 16.58.55.715259136','DD-MON-YYYY HH24.MI.SS.FF'),248,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (882,TO_TIMESTAMP('02-OCT-2021 22.04.30.260184363','DD-MON-YYYY HH24.MI.SS.FF'),265,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (883,TO_TIMESTAMP('03-OCT-2021 00.04.52.428308300','DD-MON-YYYY HH24.MI.SS.FF'),121,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (884,TO_TIMESTAMP('03-OCT-2021 03.03.10.979326203','DD-MON-YYYY HH24.MI.SS.FF'),189,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (885,TO_TIMESTAMP('03-OCT-2021 05.43.26.198636645','DD-MON-YYYY HH24.MI.SS.FF'),171,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (886,TO_TIMESTAMP('03-OCT-2021 06.12.33.116744479','DD-MON-YYYY HH24.MI.SS.FF'),54,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (887,TO_TIMESTAMP('03-OCT-2021 16.00.59.564939787','DD-MON-YYYY HH24.MI.SS.FF'),206,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (888,TO_TIMESTAMP('03-OCT-2021 17.24.42.616517292','DD-MON-YYYY HH24.MI.SS.FF'),228,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (889,TO_TIMESTAMP('03-OCT-2021 19.59.51.998322994','DD-MON-YYYY HH24.MI.SS.FF'),150,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (890,TO_TIMESTAMP('04-OCT-2021 06.01.46.085083718','DD-MON-YYYY HH24.MI.SS.FF'),379,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (891,TO_TIMESTAMP('05-OCT-2021 17.30.26.191266550','DD-MON-YYYY HH24.MI.SS.FF'),61,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (892,TO_TIMESTAMP('05-OCT-2021 18.35.12.647840041','DD-MON-YYYY HH24.MI.SS.FF'),208,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (893,TO_TIMESTAMP('05-OCT-2021 23.23.42.224134376','DD-MON-YYYY HH24.MI.SS.FF'),116,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (894,TO_TIMESTAMP('06-OCT-2021 10.24.43.846048251','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (895,TO_TIMESTAMP('06-OCT-2021 15.04.25.976973996','DD-MON-YYYY HH24.MI.SS.FF'),301,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (896,TO_TIMESTAMP('06-OCT-2021 16.24.35.399717679','DD-MON-YYYY HH24.MI.SS.FF'),192,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (897,TO_TIMESTAMP('06-OCT-2021 17.46.59.915439299','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (898,TO_TIMESTAMP('06-OCT-2021 20.22.00.585315059','DD-MON-YYYY HH24.MI.SS.FF'),91,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (899,TO_TIMESTAMP('06-OCT-2021 20.37.49.467272421','DD-MON-YYYY HH24.MI.SS.FF'),17,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (900,TO_TIMESTAMP('07-OCT-2021 00.50.41.609051799','DD-MON-YYYY HH24.MI.SS.FF'),98,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (901,TO_TIMESTAMP('07-OCT-2021 03.01.14.865421403','DD-MON-YYYY HH24.MI.SS.FF'),248,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (902,TO_TIMESTAMP('07-OCT-2021 03.23.49.894588763','DD-MON-YYYY HH24.MI.SS.FF'),152,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (903,TO_TIMESTAMP('07-OCT-2021 03.57.52.732367374','DD-MON-YYYY HH24.MI.SS.FF'),224,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (904,TO_TIMESTAMP('07-OCT-2021 09.37.13.446742441','DD-MON-YYYY HH24.MI.SS.FF'),258,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (905,TO_TIMESTAMP('07-OCT-2021 15.20.44.815032429','DD-MON-YYYY HH24.MI.SS.FF'),122,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (906,TO_TIMESTAMP('07-OCT-2021 20.20.35.385258484','DD-MON-YYYY HH24.MI.SS.FF'),370,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (907,TO_TIMESTAMP('07-OCT-2021 23.51.26.714825959','DD-MON-YYYY HH24.MI.SS.FF'),382,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (908,TO_TIMESTAMP('08-OCT-2021 08.13.06.842274401','DD-MON-YYYY HH24.MI.SS.FF'),350,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (909,TO_TIMESTAMP('08-OCT-2021 12.31.28.594645503','DD-MON-YYYY HH24.MI.SS.FF'),157,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (910,TO_TIMESTAMP('08-OCT-2021 15.12.20.205448339','DD-MON-YYYY HH24.MI.SS.FF'),103,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (911,TO_TIMESTAMP('09-OCT-2021 03.57.59.075352120','DD-MON-YYYY HH24.MI.SS.FF'),362,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (912,TO_TIMESTAMP('09-OCT-2021 04.22.12.704848769','DD-MON-YYYY HH24.MI.SS.FF'),165,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (913,TO_TIMESTAMP('09-OCT-2021 06.15.41.007768975','DD-MON-YYYY HH24.MI.SS.FF'),212,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (914,TO_TIMESTAMP('09-OCT-2021 09.28.26.675259592','DD-MON-YYYY HH24.MI.SS.FF'),163,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (915,TO_TIMESTAMP('09-OCT-2021 09.58.10.531856708','DD-MON-YYYY HH24.MI.SS.FF'),43,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (916,TO_TIMESTAMP('09-OCT-2021 10.15.31.587344932','DD-MON-YYYY HH24.MI.SS.FF'),321,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (917,TO_TIMESTAMP('09-OCT-2021 11.02.28.684829284','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (918,TO_TIMESTAMP('09-OCT-2021 18.18.12.993863078','DD-MON-YYYY HH24.MI.SS.FF'),118,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (919,TO_TIMESTAMP('10-OCT-2021 00.31.43.059772798','DD-MON-YYYY HH24.MI.SS.FF'),238,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (920,TO_TIMESTAMP('10-OCT-2021 04.55.19.471734206','DD-MON-YYYY HH24.MI.SS.FF'),4,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (921,TO_TIMESTAMP('10-OCT-2021 10.48.53.165845235','DD-MON-YYYY HH24.MI.SS.FF'),134,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (922,TO_TIMESTAMP('10-OCT-2021 11.46.09.768559021','DD-MON-YYYY HH24.MI.SS.FF'),346,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (923,TO_TIMESTAMP('10-OCT-2021 11.46.40.328004909','DD-MON-YYYY HH24.MI.SS.FF'),118,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (924,TO_TIMESTAMP('10-OCT-2021 15.09.38.457042488','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (925,TO_TIMESTAMP('10-OCT-2021 17.10.10.006521710','DD-MON-YYYY HH24.MI.SS.FF'),275,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (926,TO_TIMESTAMP('10-OCT-2021 19.45.22.632255066','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (927,TO_TIMESTAMP('10-OCT-2021 19.56.03.295973531','DD-MON-YYYY HH24.MI.SS.FF'),146,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (928,TO_TIMESTAMP('11-OCT-2021 04.03.45.848272801','DD-MON-YYYY HH24.MI.SS.FF'),9,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (929,TO_TIMESTAMP('11-OCT-2021 04.04.42.712425573','DD-MON-YYYY HH24.MI.SS.FF'),294,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (930,TO_TIMESTAMP('11-OCT-2021 04.31.55.279957724','DD-MON-YYYY HH24.MI.SS.FF'),190,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (931,TO_TIMESTAMP('11-OCT-2021 09.13.47.258381921','DD-MON-YYYY HH24.MI.SS.FF'),153,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (932,TO_TIMESTAMP('11-OCT-2021 10.41.30.336911857','DD-MON-YYYY HH24.MI.SS.FF'),334,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (933,TO_TIMESTAMP('11-OCT-2021 11.25.07.727637872','DD-MON-YYYY HH24.MI.SS.FF'),299,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (934,TO_TIMESTAMP('11-OCT-2021 22.16.05.713379939','DD-MON-YYYY HH24.MI.SS.FF'),240,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (935,TO_TIMESTAMP('12-OCT-2021 05.00.03.436544231','DD-MON-YYYY HH24.MI.SS.FF'),385,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (936,TO_TIMESTAMP('12-OCT-2021 20.15.39.717973895','DD-MON-YYYY HH24.MI.SS.FF'),124,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (937,TO_TIMESTAMP('13-OCT-2021 00.51.13.587219204','DD-MON-YYYY HH24.MI.SS.FF'),255,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (938,TO_TIMESTAMP('13-OCT-2021 11.01.46.264225259','DD-MON-YYYY HH24.MI.SS.FF'),318,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (939,TO_TIMESTAMP('13-OCT-2021 12.39.51.912689230','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (940,TO_TIMESTAMP('13-OCT-2021 15.21.58.518359076','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (941,TO_TIMESTAMP('13-OCT-2021 16.25.23.567853817','DD-MON-YYYY HH24.MI.SS.FF'),362,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (942,TO_TIMESTAMP('14-OCT-2021 01.38.42.282479084','DD-MON-YYYY HH24.MI.SS.FF'),214,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (943,TO_TIMESTAMP('14-OCT-2021 03.37.42.139148061','DD-MON-YYYY HH24.MI.SS.FF'),10,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (944,TO_TIMESTAMP('14-OCT-2021 07.48.25.982078943','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (945,TO_TIMESTAMP('14-OCT-2021 08.18.41.435790310','DD-MON-YYYY HH24.MI.SS.FF'),274,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (946,TO_TIMESTAMP('14-OCT-2021 23.23.00.864685467','DD-MON-YYYY HH24.MI.SS.FF'),236,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (947,TO_TIMESTAMP('15-OCT-2021 04.52.27.352654974','DD-MON-YYYY HH24.MI.SS.FF'),29,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (948,TO_TIMESTAMP('15-OCT-2021 14.12.40.653361660','DD-MON-YYYY HH24.MI.SS.FF'),175,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (949,TO_TIMESTAMP('15-OCT-2021 15.01.58.037630329','DD-MON-YYYY HH24.MI.SS.FF'),147,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (950,TO_TIMESTAMP('15-OCT-2021 17.58.32.401980183','DD-MON-YYYY HH24.MI.SS.FF'),7,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (951,TO_TIMESTAMP('15-OCT-2021 20.23.53.591645713','DD-MON-YYYY HH24.MI.SS.FF'),237,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (952,TO_TIMESTAMP('15-OCT-2021 20.32.12.541992534','DD-MON-YYYY HH24.MI.SS.FF'),207,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (953,TO_TIMESTAMP('16-OCT-2021 07.17.42.686863232','DD-MON-YYYY HH24.MI.SS.FF'),358,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (954,TO_TIMESTAMP('16-OCT-2021 16.08.34.878560055','DD-MON-YYYY HH24.MI.SS.FF'),118,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (955,TO_TIMESTAMP('16-OCT-2021 19.05.38.448637741','DD-MON-YYYY HH24.MI.SS.FF'),33,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (956,TO_TIMESTAMP('17-OCT-2021 02.42.46.350108112','DD-MON-YYYY HH24.MI.SS.FF'),328,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (957,TO_TIMESTAMP('17-OCT-2021 02.52.15.766603639','DD-MON-YYYY HH24.MI.SS.FF'),384,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (958,TO_TIMESTAMP('17-OCT-2021 03.19.08.095394905','DD-MON-YYYY HH24.MI.SS.FF'),237,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (959,TO_TIMESTAMP('17-OCT-2021 03.44.38.681561656','DD-MON-YYYY HH24.MI.SS.FF'),266,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (960,TO_TIMESTAMP('17-OCT-2021 08.14.25.241276133','DD-MON-YYYY HH24.MI.SS.FF'),11,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (961,TO_TIMESTAMP('17-OCT-2021 08.49.41.072126044','DD-MON-YYYY HH24.MI.SS.FF'),123,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (962,TO_TIMESTAMP('17-OCT-2021 18.56.59.683583879','DD-MON-YYYY HH24.MI.SS.FF'),111,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (963,TO_TIMESTAMP('17-OCT-2021 23.13.46.811281606','DD-MON-YYYY HH24.MI.SS.FF'),156,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (964,TO_TIMESTAMP('17-OCT-2021 23.22.43.517158303','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (965,TO_TIMESTAMP('18-OCT-2021 04.03.27.162955277','DD-MON-YYYY HH24.MI.SS.FF'),130,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (966,TO_TIMESTAMP('18-OCT-2021 08.28.06.850038299','DD-MON-YYYY HH24.MI.SS.FF'),244,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (967,TO_TIMESTAMP('18-OCT-2021 10.58.11.666764335','DD-MON-YYYY HH24.MI.SS.FF'),33,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (968,TO_TIMESTAMP('18-OCT-2021 11.26.07.286450668','DD-MON-YYYY HH24.MI.SS.FF'),9,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (969,TO_TIMESTAMP('18-OCT-2021 13.12.40.413821866','DD-MON-YYYY HH24.MI.SS.FF'),95,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (970,TO_TIMESTAMP('18-OCT-2021 21.52.33.531822526','DD-MON-YYYY HH24.MI.SS.FF'),25,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (971,TO_TIMESTAMP('19-OCT-2021 04.36.22.602896008','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (972,TO_TIMESTAMP('19-OCT-2021 13.08.36.540796675','DD-MON-YYYY HH24.MI.SS.FF'),6,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (973,TO_TIMESTAMP('19-OCT-2021 13.31.42.130271401','DD-MON-YYYY HH24.MI.SS.FF'),121,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (974,TO_TIMESTAMP('19-OCT-2021 16.30.09.442691655','DD-MON-YYYY HH24.MI.SS.FF'),173,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (975,TO_TIMESTAMP('19-OCT-2021 20.09.31.286139572','DD-MON-YYYY HH24.MI.SS.FF'),391,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (976,TO_TIMESTAMP('20-OCT-2021 03.45.01.932128545','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (977,TO_TIMESTAMP('20-OCT-2021 10.31.01.533089867','DD-MON-YYYY HH24.MI.SS.FF'),188,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (978,TO_TIMESTAMP('20-OCT-2021 17.41.07.589674608','DD-MON-YYYY HH24.MI.SS.FF'),369,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (979,TO_TIMESTAMP('20-OCT-2021 18.42.46.387850705','DD-MON-YYYY HH24.MI.SS.FF'),43,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (980,TO_TIMESTAMP('20-OCT-2021 22.49.24.989126181','DD-MON-YYYY HH24.MI.SS.FF'),207,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (981,TO_TIMESTAMP('21-OCT-2021 05.15.07.725659249','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (982,TO_TIMESTAMP('21-OCT-2021 15.02.11.955108839','DD-MON-YYYY HH24.MI.SS.FF'),213,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (983,TO_TIMESTAMP('22-OCT-2021 00.27.15.853668335','DD-MON-YYYY HH24.MI.SS.FF'),170,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (984,TO_TIMESTAMP('22-OCT-2021 02.06.03.610064254','DD-MON-YYYY HH24.MI.SS.FF'),180,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (985,TO_TIMESTAMP('22-OCT-2021 03.50.55.633982778','DD-MON-YYYY HH24.MI.SS.FF'),184,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (986,TO_TIMESTAMP('22-OCT-2021 05.59.46.862850313','DD-MON-YYYY HH24.MI.SS.FF'),10,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (987,TO_TIMESTAMP('23-OCT-2021 01.49.54.173597970','DD-MON-YYYY HH24.MI.SS.FF'),201,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (988,TO_TIMESTAMP('23-OCT-2021 02.13.12.317014511','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (989,TO_TIMESTAMP('23-OCT-2021 02.30.02.274043844','DD-MON-YYYY HH24.MI.SS.FF'),373,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (990,TO_TIMESTAMP('23-OCT-2021 11.22.03.186806881','DD-MON-YYYY HH24.MI.SS.FF'),179,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (991,TO_TIMESTAMP('23-OCT-2021 13.11.05.616180698','DD-MON-YYYY HH24.MI.SS.FF'),136,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (992,TO_TIMESTAMP('23-OCT-2021 16.06.38.803196411','DD-MON-YYYY HH24.MI.SS.FF'),383,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (993,TO_TIMESTAMP('23-OCT-2021 21.12.34.064134138','DD-MON-YYYY HH24.MI.SS.FF'),8,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (994,TO_TIMESTAMP('24-OCT-2021 03.36.22.945788131','DD-MON-YYYY HH24.MI.SS.FF'),294,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (995,TO_TIMESTAMP('24-OCT-2021 06.42.01.321039379','DD-MON-YYYY HH24.MI.SS.FF'),192,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (996,TO_TIMESTAMP('24-OCT-2021 09.51.19.879247094','DD-MON-YYYY HH24.MI.SS.FF'),202,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (997,TO_TIMESTAMP('24-OCT-2021 10.58.43.211537206','DD-MON-YYYY HH24.MI.SS.FF'),114,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (998,TO_TIMESTAMP('24-OCT-2021 12.09.53.570395373','DD-MON-YYYY HH24.MI.SS.FF'),270,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (999,TO_TIMESTAMP('24-OCT-2021 17.26.24.948155610','DD-MON-YYYY HH24.MI.SS.FF'),308,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1000,TO_TIMESTAMP('24-OCT-2021 23.55.55.722670160','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1001,TO_TIMESTAMP('25-OCT-2021 00.11.21.557170373','DD-MON-YYYY HH24.MI.SS.FF'),176,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1002,TO_TIMESTAMP('25-OCT-2021 01.30.25.588905982','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1003,TO_TIMESTAMP('25-OCT-2021 06.53.54.745343761','DD-MON-YYYY HH24.MI.SS.FF'),91,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1004,TO_TIMESTAMP('25-OCT-2021 10.46.35.772057313','DD-MON-YYYY HH24.MI.SS.FF'),313,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1005,TO_TIMESTAMP('25-OCT-2021 12.52.19.483962838','DD-MON-YYYY HH24.MI.SS.FF'),167,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1006,TO_TIMESTAMP('25-OCT-2021 16.59.09.776804022','DD-MON-YYYY HH24.MI.SS.FF'),118,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1007,TO_TIMESTAMP('25-OCT-2021 20.19.40.908223079','DD-MON-YYYY HH24.MI.SS.FF'),302,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1008,TO_TIMESTAMP('25-OCT-2021 21.00.23.518187262','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1009,TO_TIMESTAMP('26-OCT-2021 05.51.07.782129451','DD-MON-YYYY HH24.MI.SS.FF'),234,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1010,TO_TIMESTAMP('26-OCT-2021 12.19.34.730837888','DD-MON-YYYY HH24.MI.SS.FF'),92,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1011,TO_TIMESTAMP('26-OCT-2021 14.50.26.672099151','DD-MON-YYYY HH24.MI.SS.FF'),107,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1012,TO_TIMESTAMP('26-OCT-2021 20.16.30.856053888','DD-MON-YYYY HH24.MI.SS.FF'),337,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1013,TO_TIMESTAMP('26-OCT-2021 20.33.18.697908744','DD-MON-YYYY HH24.MI.SS.FF'),285,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1014,TO_TIMESTAMP('26-OCT-2021 20.33.36.106002578','DD-MON-YYYY HH24.MI.SS.FF'),186,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1015,TO_TIMESTAMP('27-OCT-2021 03.50.32.773479356','DD-MON-YYYY HH24.MI.SS.FF'),238,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1016,TO_TIMESTAMP('27-OCT-2021 04.56.25.209845986','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1017,TO_TIMESTAMP('27-OCT-2021 05.29.39.379159541','DD-MON-YYYY HH24.MI.SS.FF'),252,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1018,TO_TIMESTAMP('27-OCT-2021 12.52.15.084148855','DD-MON-YYYY HH24.MI.SS.FF'),90,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1019,TO_TIMESTAMP('27-OCT-2021 15.19.29.524673176','DD-MON-YYYY HH24.MI.SS.FF'),217,14,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1020,TO_TIMESTAMP('27-OCT-2021 21.51.01.193114772','DD-MON-YYYY HH24.MI.SS.FF'),184,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1021,TO_TIMESTAMP('28-OCT-2021 10.54.20.404794721','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1022,TO_TIMESTAMP('28-OCT-2021 12.55.04.956344033','DD-MON-YYYY HH24.MI.SS.FF'),153,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1023,TO_TIMESTAMP('28-OCT-2021 15.36.46.562731345','DD-MON-YYYY HH24.MI.SS.FF'),32,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1024,TO_TIMESTAMP('28-OCT-2021 15.48.48.120994988','DD-MON-YYYY HH24.MI.SS.FF'),68,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1025,TO_TIMESTAMP('28-OCT-2021 18.40.02.179414641','DD-MON-YYYY HH24.MI.SS.FF'),352,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1026,TO_TIMESTAMP('28-OCT-2021 20.45.51.452781959','DD-MON-YYYY HH24.MI.SS.FF'),235,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1027,TO_TIMESTAMP('28-OCT-2021 20.59.44.536878196','DD-MON-YYYY HH24.MI.SS.FF'),99,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1028,TO_TIMESTAMP('28-OCT-2021 22.40.17.765424191','DD-MON-YYYY HH24.MI.SS.FF'),175,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1029,TO_TIMESTAMP('28-OCT-2021 23.06.03.317967328','DD-MON-YYYY HH24.MI.SS.FF'),263,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1030,TO_TIMESTAMP('29-OCT-2021 01.06.46.660119745','DD-MON-YYYY HH24.MI.SS.FF'),152,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1031,TO_TIMESTAMP('29-OCT-2021 02.46.53.107350705','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1032,TO_TIMESTAMP('29-OCT-2021 07.32.25.563672240','DD-MON-YYYY HH24.MI.SS.FF'),280,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1033,TO_TIMESTAMP('29-OCT-2021 15.06.42.312690590','DD-MON-YYYY HH24.MI.SS.FF'),335,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1034,TO_TIMESTAMP('29-OCT-2021 18.36.34.460431908','DD-MON-YYYY HH24.MI.SS.FF'),381,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1035,TO_TIMESTAMP('29-OCT-2021 23.05.14.133412352','DD-MON-YYYY HH24.MI.SS.FF'),390,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1036,TO_TIMESTAMP('30-OCT-2021 04.48.28.262001087','DD-MON-YYYY HH24.MI.SS.FF'),262,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1037,TO_TIMESTAMP('30-OCT-2021 16.39.41.444655587','DD-MON-YYYY HH24.MI.SS.FF'),96,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1038,TO_TIMESTAMP('30-OCT-2021 22.27.40.883631414','DD-MON-YYYY HH24.MI.SS.FF'),336,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1039,TO_TIMESTAMP('31-OCT-2021 01.06.52.157348383','DD-MON-YYYY HH24.MI.SS.FF'),119,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1040,TO_TIMESTAMP('31-OCT-2021 10.53.20.901935243','DD-MON-YYYY HH24.MI.SS.FF'),31,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1041,TO_TIMESTAMP('31-OCT-2021 11.04.03.837025550','DD-MON-YYYY HH24.MI.SS.FF'),331,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1042,TO_TIMESTAMP('31-OCT-2021 12.44.27.454513121','DD-MON-YYYY HH24.MI.SS.FF'),147,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1043,TO_TIMESTAMP('31-OCT-2021 12.53.18.549864859','DD-MON-YYYY HH24.MI.SS.FF'),270,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1044,TO_TIMESTAMP('31-OCT-2021 20.29.17.619365588','DD-MON-YYYY HH24.MI.SS.FF'),44,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1045,TO_TIMESTAMP('31-OCT-2021 22.45.15.196896000','DD-MON-YYYY HH24.MI.SS.FF'),318,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1046,TO_TIMESTAMP('01-NOV-2021 02.50.38.035189930','DD-MON-YYYY HH24.MI.SS.FF'),321,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1047,TO_TIMESTAMP('01-NOV-2021 05.12.03.517764161','DD-MON-YYYY HH24.MI.SS.FF'),384,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1048,TO_TIMESTAMP('01-NOV-2021 10.44.26.569073679','DD-MON-YYYY HH24.MI.SS.FF'),61,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1049,TO_TIMESTAMP('01-NOV-2021 14.55.19.396358970','DD-MON-YYYY HH24.MI.SS.FF'),114,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1050,TO_TIMESTAMP('01-NOV-2021 22.02.13.931716120','DD-MON-YYYY HH24.MI.SS.FF'),90,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1051,TO_TIMESTAMP('02-NOV-2021 03.12.28.081478215','DD-MON-YYYY HH24.MI.SS.FF'),148,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1052,TO_TIMESTAMP('02-NOV-2021 04.10.21.166612928','DD-MON-YYYY HH24.MI.SS.FF'),13,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1053,TO_TIMESTAMP('02-NOV-2021 05.11.25.356711429','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1054,TO_TIMESTAMP('02-NOV-2021 06.04.55.072799689','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1055,TO_TIMESTAMP('02-NOV-2021 09.54.56.775483149','DD-MON-YYYY HH24.MI.SS.FF'),160,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1056,TO_TIMESTAMP('02-NOV-2021 13.27.20.382436014','DD-MON-YYYY HH24.MI.SS.FF'),251,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1057,TO_TIMESTAMP('03-NOV-2021 06.05.53.536896619','DD-MON-YYYY HH24.MI.SS.FF'),91,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1058,TO_TIMESTAMP('03-NOV-2021 14.53.59.709450312','DD-MON-YYYY HH24.MI.SS.FF'),6,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1059,TO_TIMESTAMP('03-NOV-2021 15.13.57.612842755','DD-MON-YYYY HH24.MI.SS.FF'),186,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1060,TO_TIMESTAMP('03-NOV-2021 22.22.44.338824888','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1061,TO_TIMESTAMP('04-NOV-2021 04.21.40.910978769','DD-MON-YYYY HH24.MI.SS.FF'),295,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1062,TO_TIMESTAMP('04-NOV-2021 12.11.06.703800469','DD-MON-YYYY HH24.MI.SS.FF'),39,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1063,TO_TIMESTAMP('04-NOV-2021 12.55.24.508475503','DD-MON-YYYY HH24.MI.SS.FF'),239,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1064,TO_TIMESTAMP('04-NOV-2021 15.41.47.162920253','DD-MON-YYYY HH24.MI.SS.FF'),314,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1065,TO_TIMESTAMP('05-NOV-2021 10.28.08.366927796','DD-MON-YYYY HH24.MI.SS.FF'),115,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1066,TO_TIMESTAMP('05-NOV-2021 16.06.45.738191502','DD-MON-YYYY HH24.MI.SS.FF'),390,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1067,TO_TIMESTAMP('05-NOV-2021 19.14.09.231871975','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1068,TO_TIMESTAMP('05-NOV-2021 21.02.30.650866246','DD-MON-YYYY HH24.MI.SS.FF'),127,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1069,TO_TIMESTAMP('06-NOV-2021 02.02.27.668839992','DD-MON-YYYY HH24.MI.SS.FF'),50,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1070,TO_TIMESTAMP('06-NOV-2021 03.50.49.366074593','DD-MON-YYYY HH24.MI.SS.FF'),112,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1071,TO_TIMESTAMP('06-NOV-2021 04.02.31.784495355','DD-MON-YYYY HH24.MI.SS.FF'),241,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1072,TO_TIMESTAMP('06-NOV-2021 07.49.52.069695091','DD-MON-YYYY HH24.MI.SS.FF'),104,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1073,TO_TIMESTAMP('06-NOV-2021 12.02.08.317468976','DD-MON-YYYY HH24.MI.SS.FF'),78,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1074,TO_TIMESTAMP('06-NOV-2021 16.32.05.826878212','DD-MON-YYYY HH24.MI.SS.FF'),383,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1075,TO_TIMESTAMP('06-NOV-2021 21.59.00.675907708','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1076,TO_TIMESTAMP('07-NOV-2021 01.59.26.815556722','DD-MON-YYYY HH24.MI.SS.FF'),209,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1077,TO_TIMESTAMP('07-NOV-2021 04.37.48.889341084','DD-MON-YYYY HH24.MI.SS.FF'),383,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1078,TO_TIMESTAMP('07-NOV-2021 05.10.49.567619067','DD-MON-YYYY HH24.MI.SS.FF'),304,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1079,TO_TIMESTAMP('07-NOV-2021 05.53.49.540253998','DD-MON-YYYY HH24.MI.SS.FF'),270,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1080,TO_TIMESTAMP('07-NOV-2021 09.09.01.889987611','DD-MON-YYYY HH24.MI.SS.FF'),171,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1081,TO_TIMESTAMP('07-NOV-2021 10.07.44.051972579','DD-MON-YYYY HH24.MI.SS.FF'),366,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1082,TO_TIMESTAMP('07-NOV-2021 16.25.22.587208390','DD-MON-YYYY HH24.MI.SS.FF'),8,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1083,TO_TIMESTAMP('07-NOV-2021 18.05.54.405518119','DD-MON-YYYY HH24.MI.SS.FF'),199,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1084,TO_TIMESTAMP('08-NOV-2021 06.52.48.083714510','DD-MON-YYYY HH24.MI.SS.FF'),182,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1085,TO_TIMESTAMP('08-NOV-2021 09.44.09.140017597','DD-MON-YYYY HH24.MI.SS.FF'),267,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1086,TO_TIMESTAMP('08-NOV-2021 12.53.08.890592854','DD-MON-YYYY HH24.MI.SS.FF'),211,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1087,TO_TIMESTAMP('08-NOV-2021 13.04.31.106561898','DD-MON-YYYY HH24.MI.SS.FF'),38,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1088,TO_TIMESTAMP('08-NOV-2021 13.18.11.477667959','DD-MON-YYYY HH24.MI.SS.FF'),306,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1089,TO_TIMESTAMP('08-NOV-2021 16.51.41.068969864','DD-MON-YYYY HH24.MI.SS.FF'),375,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1090,TO_TIMESTAMP('08-NOV-2021 17.53.56.406232856','DD-MON-YYYY HH24.MI.SS.FF'),104,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1091,TO_TIMESTAMP('08-NOV-2021 22.18.17.838777875','DD-MON-YYYY HH24.MI.SS.FF'),92,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1092,TO_TIMESTAMP('08-NOV-2021 23.44.43.786774890','DD-MON-YYYY HH24.MI.SS.FF'),247,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1093,TO_TIMESTAMP('09-NOV-2021 08.01.41.696751130','DD-MON-YYYY HH24.MI.SS.FF'),129,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1094,TO_TIMESTAMP('09-NOV-2021 19.11.54.006702348','DD-MON-YYYY HH24.MI.SS.FF'),70,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1095,TO_TIMESTAMP('09-NOV-2021 19.31.49.767667694','DD-MON-YYYY HH24.MI.SS.FF'),330,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1096,TO_TIMESTAMP('09-NOV-2021 21.26.44.253882346','DD-MON-YYYY HH24.MI.SS.FF'),187,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1097,TO_TIMESTAMP('10-NOV-2021 04.06.38.679484623','DD-MON-YYYY HH24.MI.SS.FF'),335,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1098,TO_TIMESTAMP('10-NOV-2021 05.51.35.678851373','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1099,TO_TIMESTAMP('10-NOV-2021 07.05.55.173806044','DD-MON-YYYY HH24.MI.SS.FF'),242,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1100,TO_TIMESTAMP('10-NOV-2021 14.47.04.331650486','DD-MON-YYYY HH24.MI.SS.FF'),268,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1101,TO_TIMESTAMP('11-NOV-2021 04.36.12.942268522','DD-MON-YYYY HH24.MI.SS.FF'),32,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1102,TO_TIMESTAMP('11-NOV-2021 09.21.21.436252576','DD-MON-YYYY HH24.MI.SS.FF'),9,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1103,TO_TIMESTAMP('11-NOV-2021 09.50.57.586502770','DD-MON-YYYY HH24.MI.SS.FF'),328,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1104,TO_TIMESTAMP('11-NOV-2021 11.17.48.239653945','DD-MON-YYYY HH24.MI.SS.FF'),343,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1105,TO_TIMESTAMP('11-NOV-2021 14.27.55.204510299','DD-MON-YYYY HH24.MI.SS.FF'),276,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1106,TO_TIMESTAMP('11-NOV-2021 21.16.25.464012923','DD-MON-YYYY HH24.MI.SS.FF'),245,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1107,TO_TIMESTAMP('12-NOV-2021 01.22.45.096189506','DD-MON-YYYY HH24.MI.SS.FF'),122,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1108,TO_TIMESTAMP('12-NOV-2021 02.38.30.489421391','DD-MON-YYYY HH24.MI.SS.FF'),331,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1109,TO_TIMESTAMP('12-NOV-2021 09.26.23.602230166','DD-MON-YYYY HH24.MI.SS.FF'),144,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1110,TO_TIMESTAMP('12-NOV-2021 18.14.03.494746816','DD-MON-YYYY HH24.MI.SS.FF'),383,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1111,TO_TIMESTAMP('12-NOV-2021 23.38.06.043177626','DD-MON-YYYY HH24.MI.SS.FF'),6,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1112,TO_TIMESTAMP('13-NOV-2021 04.23.04.057841801','DD-MON-YYYY HH24.MI.SS.FF'),66,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1113,TO_TIMESTAMP('13-NOV-2021 06.14.07.910265367','DD-MON-YYYY HH24.MI.SS.FF'),253,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1114,TO_TIMESTAMP('13-NOV-2021 08.04.00.742746623','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1115,TO_TIMESTAMP('14-NOV-2021 05.47.39.574816367','DD-MON-YYYY HH24.MI.SS.FF'),146,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1116,TO_TIMESTAMP('14-NOV-2021 18.04.46.714191933','DD-MON-YYYY HH24.MI.SS.FF'),285,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1117,TO_TIMESTAMP('15-NOV-2021 01.49.31.895147742','DD-MON-YYYY HH24.MI.SS.FF'),128,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1118,TO_TIMESTAMP('15-NOV-2021 06.19.04.345774757','DD-MON-YYYY HH24.MI.SS.FF'),105,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1119,TO_TIMESTAMP('15-NOV-2021 08.31.40.818431905','DD-MON-YYYY HH24.MI.SS.FF'),14,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1120,TO_TIMESTAMP('15-NOV-2021 08.56.25.920798660','DD-MON-YYYY HH24.MI.SS.FF'),152,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1121,TO_TIMESTAMP('15-NOV-2021 10.21.03.765653358','DD-MON-YYYY HH24.MI.SS.FF'),7,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1122,TO_TIMESTAMP('15-NOV-2021 12.12.36.337055949','DD-MON-YYYY HH24.MI.SS.FF'),190,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1123,TO_TIMESTAMP('15-NOV-2021 14.40.34.869607241','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1124,TO_TIMESTAMP('15-NOV-2021 20.51.29.135944191','DD-MON-YYYY HH24.MI.SS.FF'),196,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1125,TO_TIMESTAMP('16-NOV-2021 08.44.20.739015456','DD-MON-YYYY HH24.MI.SS.FF'),313,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1126,TO_TIMESTAMP('16-NOV-2021 10.49.36.869342284','DD-MON-YYYY HH24.MI.SS.FF'),39,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1127,TO_TIMESTAMP('16-NOV-2021 11.51.24.237859436','DD-MON-YYYY HH24.MI.SS.FF'),133,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1128,TO_TIMESTAMP('16-NOV-2021 21.35.07.698145091','DD-MON-YYYY HH24.MI.SS.FF'),381,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1129,TO_TIMESTAMP('17-NOV-2021 02.48.31.602962265','DD-MON-YYYY HH24.MI.SS.FF'),68,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1130,TO_TIMESTAMP('17-NOV-2021 04.13.13.273527346','DD-MON-YYYY HH24.MI.SS.FF'),247,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1131,TO_TIMESTAMP('17-NOV-2021 10.40.06.423034714','DD-MON-YYYY HH24.MI.SS.FF'),43,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1132,TO_TIMESTAMP('17-NOV-2021 17.34.13.251318485','DD-MON-YYYY HH24.MI.SS.FF'),177,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1133,TO_TIMESTAMP('17-NOV-2021 20.09.07.378333846','DD-MON-YYYY HH24.MI.SS.FF'),299,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1134,TO_TIMESTAMP('18-NOV-2021 07.46.53.922156437','DD-MON-YYYY HH24.MI.SS.FF'),21,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1135,TO_TIMESTAMP('18-NOV-2021 10.25.27.750117557','DD-MON-YYYY HH24.MI.SS.FF'),142,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1136,TO_TIMESTAMP('18-NOV-2021 14.42.40.324630841','DD-MON-YYYY HH24.MI.SS.FF'),356,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1137,TO_TIMESTAMP('18-NOV-2021 15.13.57.699264334','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1138,TO_TIMESTAMP('18-NOV-2021 18.19.30.751565768','DD-MON-YYYY HH24.MI.SS.FF'),55,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1139,TO_TIMESTAMP('18-NOV-2021 20.16.12.073873497','DD-MON-YYYY HH24.MI.SS.FF'),66,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1140,TO_TIMESTAMP('18-NOV-2021 21.13.02.644678037','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1141,TO_TIMESTAMP('18-NOV-2021 22.59.25.647146670','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1142,TO_TIMESTAMP('19-NOV-2021 02.00.46.301417880','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1143,TO_TIMESTAMP('19-NOV-2021 02.50.51.226749908','DD-MON-YYYY HH24.MI.SS.FF'),52,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1144,TO_TIMESTAMP('19-NOV-2021 03.13.41.169690232','DD-MON-YYYY HH24.MI.SS.FF'),95,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1145,TO_TIMESTAMP('19-NOV-2021 10.04.40.586353479','DD-MON-YYYY HH24.MI.SS.FF'),73,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1146,TO_TIMESTAMP('19-NOV-2021 12.45.53.296565341','DD-MON-YYYY HH24.MI.SS.FF'),188,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1147,TO_TIMESTAMP('19-NOV-2021 13.25.08.894545849','DD-MON-YYYY HH24.MI.SS.FF'),214,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1148,TO_TIMESTAMP('19-NOV-2021 23.33.27.199549275','DD-MON-YYYY HH24.MI.SS.FF'),326,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1149,TO_TIMESTAMP('20-NOV-2021 02.54.36.328339621','DD-MON-YYYY HH24.MI.SS.FF'),203,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1150,TO_TIMESTAMP('20-NOV-2021 05.29.04.692813714','DD-MON-YYYY HH24.MI.SS.FF'),381,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1151,TO_TIMESTAMP('20-NOV-2021 19.08.54.025917006','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1152,TO_TIMESTAMP('20-NOV-2021 19.10.43.787356111','DD-MON-YYYY HH24.MI.SS.FF'),275,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1153,TO_TIMESTAMP('20-NOV-2021 23.29.20.192792323','DD-MON-YYYY HH24.MI.SS.FF'),249,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1154,TO_TIMESTAMP('21-NOV-2021 00.21.49.020995530','DD-MON-YYYY HH24.MI.SS.FF'),153,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1155,TO_TIMESTAMP('21-NOV-2021 03.24.46.090251371','DD-MON-YYYY HH24.MI.SS.FF'),272,11,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1156,TO_TIMESTAMP('21-NOV-2021 13.01.41.426487979','DD-MON-YYYY HH24.MI.SS.FF'),75,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1157,TO_TIMESTAMP('21-NOV-2021 21.11.50.842641357','DD-MON-YYYY HH24.MI.SS.FF'),128,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1158,TO_TIMESTAMP('21-NOV-2021 23.12.22.088281344','DD-MON-YYYY HH24.MI.SS.FF'),126,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1159,TO_TIMESTAMP('21-NOV-2021 23.53.04.412737544','DD-MON-YYYY HH24.MI.SS.FF'),295,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1160,TO_TIMESTAMP('22-NOV-2021 02.51.52.361836989','DD-MON-YYYY HH24.MI.SS.FF'),370,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1161,TO_TIMESTAMP('22-NOV-2021 05.39.48.590523681','DD-MON-YYYY HH24.MI.SS.FF'),100,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1162,TO_TIMESTAMP('22-NOV-2021 23.09.02.737432281','DD-MON-YYYY HH24.MI.SS.FF'),208,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1163,TO_TIMESTAMP('23-NOV-2021 02.15.42.507584830','DD-MON-YYYY HH24.MI.SS.FF'),188,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1164,TO_TIMESTAMP('23-NOV-2021 05.04.28.413295965','DD-MON-YYYY HH24.MI.SS.FF'),187,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1165,TO_TIMESTAMP('23-NOV-2021 21.33.20.270416253','DD-MON-YYYY HH24.MI.SS.FF'),92,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1166,TO_TIMESTAMP('23-NOV-2021 22.19.50.534236182','DD-MON-YYYY HH24.MI.SS.FF'),56,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1167,TO_TIMESTAMP('24-NOV-2021 05.47.24.271241364','DD-MON-YYYY HH24.MI.SS.FF'),218,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1168,TO_TIMESTAMP('24-NOV-2021 07.22.08.410254702','DD-MON-YYYY HH24.MI.SS.FF'),241,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1169,TO_TIMESTAMP('24-NOV-2021 15.11.55.107758391','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1170,TO_TIMESTAMP('25-NOV-2021 12.34.54.977017237','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1171,TO_TIMESTAMP('25-NOV-2021 13.34.28.023039734','DD-MON-YYYY HH24.MI.SS.FF'),351,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1172,TO_TIMESTAMP('26-NOV-2021 04.29.51.765062308','DD-MON-YYYY HH24.MI.SS.FF'),367,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1173,TO_TIMESTAMP('26-NOV-2021 05.07.35.598923082','DD-MON-YYYY HH24.MI.SS.FF'),154,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1174,TO_TIMESTAMP('26-NOV-2021 13.12.02.465425120','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1175,TO_TIMESTAMP('26-NOV-2021 19.34.42.143507892','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1176,TO_TIMESTAMP('27-NOV-2021 03.06.54.730352837','DD-MON-YYYY HH24.MI.SS.FF'),154,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1177,TO_TIMESTAMP('27-NOV-2021 06.01.19.691237357','DD-MON-YYYY HH24.MI.SS.FF'),213,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1178,TO_TIMESTAMP('27-NOV-2021 10.12.23.297818953','DD-MON-YYYY HH24.MI.SS.FF'),377,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1179,TO_TIMESTAMP('27-NOV-2021 10.50.21.243378027','DD-MON-YYYY HH24.MI.SS.FF'),94,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1180,TO_TIMESTAMP('28-NOV-2021 04.59.37.241087077','DD-MON-YYYY HH24.MI.SS.FF'),273,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1181,TO_TIMESTAMP('28-NOV-2021 09.39.50.174365027','DD-MON-YYYY HH24.MI.SS.FF'),227,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1182,TO_TIMESTAMP('28-NOV-2021 10.38.58.667714443','DD-MON-YYYY HH24.MI.SS.FF'),108,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1183,TO_TIMESTAMP('28-NOV-2021 10.39.28.571344794','DD-MON-YYYY HH24.MI.SS.FF'),205,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1184,TO_TIMESTAMP('28-NOV-2021 17.14.56.960704249','DD-MON-YYYY HH24.MI.SS.FF'),301,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1185,TO_TIMESTAMP('28-NOV-2021 23.33.41.377878048','DD-MON-YYYY HH24.MI.SS.FF'),214,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1186,TO_TIMESTAMP('29-NOV-2021 03.46.12.843038898','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1187,TO_TIMESTAMP('29-NOV-2021 13.01.04.914368464','DD-MON-YYYY HH24.MI.SS.FF'),193,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1188,TO_TIMESTAMP('29-NOV-2021 13.21.46.614942245','DD-MON-YYYY HH24.MI.SS.FF'),110,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1189,TO_TIMESTAMP('29-NOV-2021 15.39.38.700620643','DD-MON-YYYY HH24.MI.SS.FF'),185,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1190,TO_TIMESTAMP('29-NOV-2021 20.30.32.708036333','DD-MON-YYYY HH24.MI.SS.FF'),326,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1191,TO_TIMESTAMP('30-NOV-2021 02.08.39.882262973','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1192,TO_TIMESTAMP('30-NOV-2021 08.59.43.131161043','DD-MON-YYYY HH24.MI.SS.FF'),300,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1193,TO_TIMESTAMP('30-NOV-2021 13.41.17.033249132','DD-MON-YYYY HH24.MI.SS.FF'),161,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1194,TO_TIMESTAMP('30-NOV-2021 15.40.44.099125291','DD-MON-YYYY HH24.MI.SS.FF'),185,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1195,TO_TIMESTAMP('30-NOV-2021 17.42.24.627920503','DD-MON-YYYY HH24.MI.SS.FF'),15,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1196,TO_TIMESTAMP('30-NOV-2021 18.08.38.367894924','DD-MON-YYYY HH24.MI.SS.FF'),342,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1197,TO_TIMESTAMP('30-NOV-2021 20.42.38.967079062','DD-MON-YYYY HH24.MI.SS.FF'),235,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1198,TO_TIMESTAMP('30-NOV-2021 20.51.37.768598840','DD-MON-YYYY HH24.MI.SS.FF'),119,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1199,TO_TIMESTAMP('30-NOV-2021 23.01.16.710281933','DD-MON-YYYY HH24.MI.SS.FF'),207,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1200,TO_TIMESTAMP('30-NOV-2021 23.19.54.798148870','DD-MON-YYYY HH24.MI.SS.FF'),17,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1201,TO_TIMESTAMP('01-DEC-2021 04.56.09.804793579','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1202,TO_TIMESTAMP('01-DEC-2021 19.42.04.777938526','DD-MON-YYYY HH24.MI.SS.FF'),42,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1203,TO_TIMESTAMP('02-DEC-2021 02.30.49.071412145','DD-MON-YYYY HH24.MI.SS.FF'),279,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1204,TO_TIMESTAMP('02-DEC-2021 06.02.20.148773420','DD-MON-YYYY HH24.MI.SS.FF'),69,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1205,TO_TIMESTAMP('02-DEC-2021 07.05.05.782542140','DD-MON-YYYY HH24.MI.SS.FF'),325,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1206,TO_TIMESTAMP('02-DEC-2021 11.18.44.050897898','DD-MON-YYYY HH24.MI.SS.FF'),47,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1207,TO_TIMESTAMP('02-DEC-2021 14.08.23.701365819','DD-MON-YYYY HH24.MI.SS.FF'),133,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1208,TO_TIMESTAMP('02-DEC-2021 15.41.43.344643613','DD-MON-YYYY HH24.MI.SS.FF'),153,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1209,TO_TIMESTAMP('02-DEC-2021 17.04.55.478738243','DD-MON-YYYY HH24.MI.SS.FF'),283,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1210,TO_TIMESTAMP('02-DEC-2021 17.50.00.716520916','DD-MON-YYYY HH24.MI.SS.FF'),327,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1211,TO_TIMESTAMP('02-DEC-2021 22.32.46.612753056','DD-MON-YYYY HH24.MI.SS.FF'),349,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1212,TO_TIMESTAMP('03-DEC-2021 03.11.08.980731972','DD-MON-YYYY HH24.MI.SS.FF'),226,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1213,TO_TIMESTAMP('03-DEC-2021 04.01.28.909886649','DD-MON-YYYY HH24.MI.SS.FF'),330,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1214,TO_TIMESTAMP('03-DEC-2021 05.56.27.217921125','DD-MON-YYYY HH24.MI.SS.FF'),349,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1215,TO_TIMESTAMP('03-DEC-2021 11.03.01.661593898','DD-MON-YYYY HH24.MI.SS.FF'),249,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1216,TO_TIMESTAMP('03-DEC-2021 11.49.09.440162729','DD-MON-YYYY HH24.MI.SS.FF'),250,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1217,TO_TIMESTAMP('03-DEC-2021 12.26.08.883930072','DD-MON-YYYY HH24.MI.SS.FF'),207,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1218,TO_TIMESTAMP('03-DEC-2021 15.16.36.175511095','DD-MON-YYYY HH24.MI.SS.FF'),160,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1219,TO_TIMESTAMP('03-DEC-2021 18.29.34.279001711','DD-MON-YYYY HH24.MI.SS.FF'),290,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1220,TO_TIMESTAMP('03-DEC-2021 18.47.29.874991301','DD-MON-YYYY HH24.MI.SS.FF'),38,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1221,TO_TIMESTAMP('03-DEC-2021 23.22.16.026129283','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1222,TO_TIMESTAMP('04-DEC-2021 02.24.22.828183905','DD-MON-YYYY HH24.MI.SS.FF'),316,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1223,TO_TIMESTAMP('04-DEC-2021 05.51.29.594005717','DD-MON-YYYY HH24.MI.SS.FF'),182,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1224,TO_TIMESTAMP('04-DEC-2021 07.18.33.892617523','DD-MON-YYYY HH24.MI.SS.FF'),239,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1225,TO_TIMESTAMP('04-DEC-2021 14.06.05.390611984','DD-MON-YYYY HH24.MI.SS.FF'),98,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1226,TO_TIMESTAMP('04-DEC-2021 14.18.23.203676152','DD-MON-YYYY HH24.MI.SS.FF'),176,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1227,TO_TIMESTAMP('04-DEC-2021 14.18.30.193991091','DD-MON-YYYY HH24.MI.SS.FF'),151,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1228,TO_TIMESTAMP('04-DEC-2021 14.53.04.197261699','DD-MON-YYYY HH24.MI.SS.FF'),248,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1229,TO_TIMESTAMP('04-DEC-2021 20.39.52.700585960','DD-MON-YYYY HH24.MI.SS.FF'),206,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1230,TO_TIMESTAMP('04-DEC-2021 23.04.19.878539826','DD-MON-YYYY HH24.MI.SS.FF'),267,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1231,TO_TIMESTAMP('05-DEC-2021 07.20.08.753049194','DD-MON-YYYY HH24.MI.SS.FF'),35,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1232,TO_TIMESTAMP('05-DEC-2021 08.33.05.130198560','DD-MON-YYYY HH24.MI.SS.FF'),248,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1233,TO_TIMESTAMP('06-DEC-2021 02.25.07.618071780','DD-MON-YYYY HH24.MI.SS.FF'),360,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1234,TO_TIMESTAMP('06-DEC-2021 02.46.36.811794172','DD-MON-YYYY HH24.MI.SS.FF'),358,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1235,TO_TIMESTAMP('06-DEC-2021 05.27.02.905548063','DD-MON-YYYY HH24.MI.SS.FF'),215,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1236,TO_TIMESTAMP('06-DEC-2021 08.36.50.662189053','DD-MON-YYYY HH24.MI.SS.FF'),334,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1237,TO_TIMESTAMP('06-DEC-2021 09.11.46.626985919','DD-MON-YYYY HH24.MI.SS.FF'),216,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1238,TO_TIMESTAMP('06-DEC-2021 09.43.09.776355399','DD-MON-YYYY HH24.MI.SS.FF'),233,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1239,TO_TIMESTAMP('06-DEC-2021 10.46.20.610110892','DD-MON-YYYY HH24.MI.SS.FF'),102,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1240,TO_TIMESTAMP('06-DEC-2021 16.05.49.397841291','DD-MON-YYYY HH24.MI.SS.FF'),343,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1241,TO_TIMESTAMP('07-DEC-2021 02.33.19.869052362','DD-MON-YYYY HH24.MI.SS.FF'),69,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1242,TO_TIMESTAMP('07-DEC-2021 08.39.53.311902519','DD-MON-YYYY HH24.MI.SS.FF'),246,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1243,TO_TIMESTAMP('07-DEC-2021 14.21.20.593370319','DD-MON-YYYY HH24.MI.SS.FF'),388,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1244,TO_TIMESTAMP('07-DEC-2021 21.23.42.003021292','DD-MON-YYYY HH24.MI.SS.FF'),274,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1245,TO_TIMESTAMP('07-DEC-2021 21.56.36.874142225','DD-MON-YYYY HH24.MI.SS.FF'),374,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1246,TO_TIMESTAMP('08-DEC-2021 04.32.01.297028870','DD-MON-YYYY HH24.MI.SS.FF'),53,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1247,TO_TIMESTAMP('08-DEC-2021 05.53.57.570310744','DD-MON-YYYY HH24.MI.SS.FF'),169,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1248,TO_TIMESTAMP('08-DEC-2021 13.27.17.795514002','DD-MON-YYYY HH24.MI.SS.FF'),303,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1249,TO_TIMESTAMP('08-DEC-2021 17.28.15.774316087','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1250,TO_TIMESTAMP('08-DEC-2021 23.33.11.323915393','DD-MON-YYYY HH24.MI.SS.FF'),65,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1251,TO_TIMESTAMP('09-DEC-2021 01.28.50.784414820','DD-MON-YYYY HH24.MI.SS.FF'),187,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1252,TO_TIMESTAMP('09-DEC-2021 03.47.17.570806552','DD-MON-YYYY HH24.MI.SS.FF'),334,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1253,TO_TIMESTAMP('09-DEC-2021 05.07.46.146306744','DD-MON-YYYY HH24.MI.SS.FF'),280,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1254,TO_TIMESTAMP('09-DEC-2021 07.49.38.352816650','DD-MON-YYYY HH24.MI.SS.FF'),304,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1255,TO_TIMESTAMP('09-DEC-2021 10.52.44.166486392','DD-MON-YYYY HH24.MI.SS.FF'),327,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1256,TO_TIMESTAMP('09-DEC-2021 11.18.56.532610977','DD-MON-YYYY HH24.MI.SS.FF'),45,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1257,TO_TIMESTAMP('09-DEC-2021 14.48.18.842789456','DD-MON-YYYY HH24.MI.SS.FF'),209,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1258,TO_TIMESTAMP('09-DEC-2021 14.56.46.295253377','DD-MON-YYYY HH24.MI.SS.FF'),320,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1259,TO_TIMESTAMP('09-DEC-2021 20.37.30.587795957','DD-MON-YYYY HH24.MI.SS.FF'),92,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1260,TO_TIMESTAMP('10-DEC-2021 00.17.10.374740492','DD-MON-YYYY HH24.MI.SS.FF'),9,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1261,TO_TIMESTAMP('10-DEC-2021 00.22.31.220232724','DD-MON-YYYY HH24.MI.SS.FF'),260,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1262,TO_TIMESTAMP('10-DEC-2021 02.58.48.655661526','DD-MON-YYYY HH24.MI.SS.FF'),123,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1263,TO_TIMESTAMP('10-DEC-2021 16.14.56.509448427','DD-MON-YYYY HH24.MI.SS.FF'),300,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1264,TO_TIMESTAMP('10-DEC-2021 17.31.43.345010877','DD-MON-YYYY HH24.MI.SS.FF'),146,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1265,TO_TIMESTAMP('10-DEC-2021 18.27.31.427604901','DD-MON-YYYY HH24.MI.SS.FF'),331,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1266,TO_TIMESTAMP('10-DEC-2021 18.28.39.127716391','DD-MON-YYYY HH24.MI.SS.FF'),129,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1267,TO_TIMESTAMP('10-DEC-2021 23.27.26.893257026','DD-MON-YYYY HH24.MI.SS.FF'),236,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1268,TO_TIMESTAMP('10-DEC-2021 23.30.53.547892057','DD-MON-YYYY HH24.MI.SS.FF'),158,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1269,TO_TIMESTAMP('11-DEC-2021 00.48.48.346573524','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1270,TO_TIMESTAMP('11-DEC-2021 02.01.44.303254419','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1271,TO_TIMESTAMP('11-DEC-2021 08.17.30.957142694','DD-MON-YYYY HH24.MI.SS.FF'),220,17,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1272,TO_TIMESTAMP('11-DEC-2021 19.30.30.906962370','DD-MON-YYYY HH24.MI.SS.FF'),138,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1273,TO_TIMESTAMP('12-DEC-2021 03.14.10.811011588','DD-MON-YYYY HH24.MI.SS.FF'),271,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1274,TO_TIMESTAMP('12-DEC-2021 04.02.23.074997929','DD-MON-YYYY HH24.MI.SS.FF'),48,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1275,TO_TIMESTAMP('12-DEC-2021 10.34.11.754150323','DD-MON-YYYY HH24.MI.SS.FF'),217,14,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1276,TO_TIMESTAMP('12-DEC-2021 13.46.28.398438734','DD-MON-YYYY HH24.MI.SS.FF'),93,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1277,TO_TIMESTAMP('12-DEC-2021 14.46.29.088518404','DD-MON-YYYY HH24.MI.SS.FF'),97,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1278,TO_TIMESTAMP('12-DEC-2021 16.09.33.721960446','DD-MON-YYYY HH24.MI.SS.FF'),331,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1279,TO_TIMESTAMP('12-DEC-2021 16.51.08.923897000','DD-MON-YYYY HH24.MI.SS.FF'),190,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1280,TO_TIMESTAMP('12-DEC-2021 18.49.45.445418071','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1281,TO_TIMESTAMP('13-DEC-2021 04.11.58.918004850','DD-MON-YYYY HH24.MI.SS.FF'),269,8,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1282,TO_TIMESTAMP('13-DEC-2021 06.26.52.125291052','DD-MON-YYYY HH24.MI.SS.FF'),294,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1283,TO_TIMESTAMP('13-DEC-2021 09.00.53.939844187','DD-MON-YYYY HH24.MI.SS.FF'),186,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1284,TO_TIMESTAMP('13-DEC-2021 09.10.29.274382704','DD-MON-YYYY HH24.MI.SS.FF'),339,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1285,TO_TIMESTAMP('13-DEC-2021 09.44.15.853192476','DD-MON-YYYY HH24.MI.SS.FF'),223,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1286,TO_TIMESTAMP('13-DEC-2021 12.14.00.039242099','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1287,TO_TIMESTAMP('13-DEC-2021 15.02.39.603206432','DD-MON-YYYY HH24.MI.SS.FF'),351,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1288,TO_TIMESTAMP('13-DEC-2021 15.45.44.907421788','DD-MON-YYYY HH24.MI.SS.FF'),261,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1289,TO_TIMESTAMP('13-DEC-2021 17.00.57.449520364','DD-MON-YYYY HH24.MI.SS.FF'),215,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1290,TO_TIMESTAMP('13-DEC-2021 17.47.25.704938239','DD-MON-YYYY HH24.MI.SS.FF'),219,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1291,TO_TIMESTAMP('14-DEC-2021 00.20.38.056638039','DD-MON-YYYY HH24.MI.SS.FF'),290,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1292,TO_TIMESTAMP('14-DEC-2021 09.30.59.925552065','DD-MON-YYYY HH24.MI.SS.FF'),272,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1293,TO_TIMESTAMP('14-DEC-2021 11.02.57.933488619','DD-MON-YYYY HH24.MI.SS.FF'),241,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1294,TO_TIMESTAMP('14-DEC-2021 18.09.24.061093509','DD-MON-YYYY HH24.MI.SS.FF'),187,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1295,TO_TIMESTAMP('15-DEC-2021 00.42.08.481360168','DD-MON-YYYY HH24.MI.SS.FF'),139,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1296,TO_TIMESTAMP('15-DEC-2021 04.29.42.080991928','DD-MON-YYYY HH24.MI.SS.FF'),62,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1297,TO_TIMESTAMP('15-DEC-2021 10.31.56.582501810','DD-MON-YYYY HH24.MI.SS.FF'),388,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1298,TO_TIMESTAMP('15-DEC-2021 12.59.12.166238243','DD-MON-YYYY HH24.MI.SS.FF'),321,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1299,TO_TIMESTAMP('15-DEC-2021 16.34.18.590753282','DD-MON-YYYY HH24.MI.SS.FF'),211,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1300,TO_TIMESTAMP('16-DEC-2021 06.27.11.003963277','DD-MON-YYYY HH24.MI.SS.FF'),361,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1301,TO_TIMESTAMP('16-DEC-2021 06.35.08.842844488','DD-MON-YYYY HH24.MI.SS.FF'),329,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1302,TO_TIMESTAMP('16-DEC-2021 09.48.49.073183516','DD-MON-YYYY HH24.MI.SS.FF'),46,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1303,TO_TIMESTAMP('16-DEC-2021 10.32.02.473931756','DD-MON-YYYY HH24.MI.SS.FF'),273,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1304,TO_TIMESTAMP('16-DEC-2021 10.40.50.262373947','DD-MON-YYYY HH24.MI.SS.FF'),387,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1305,TO_TIMESTAMP('16-DEC-2021 11.04.59.948172143','DD-MON-YYYY HH24.MI.SS.FF'),256,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1306,TO_TIMESTAMP('16-DEC-2021 11.47.49.807137009','DD-MON-YYYY HH24.MI.SS.FF'),40,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1307,TO_TIMESTAMP('16-DEC-2021 22.50.16.204969579','DD-MON-YYYY HH24.MI.SS.FF'),244,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1308,TO_TIMESTAMP('17-DEC-2021 07.20.04.267130519','DD-MON-YYYY HH24.MI.SS.FF'),272,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1309,TO_TIMESTAMP('17-DEC-2021 15.16.45.975838111','DD-MON-YYYY HH24.MI.SS.FF'),231,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1310,TO_TIMESTAMP('17-DEC-2021 21.45.59.109228587','DD-MON-YYYY HH24.MI.SS.FF'),275,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1311,TO_TIMESTAMP('18-DEC-2021 02.25.38.454590727','DD-MON-YYYY HH24.MI.SS.FF'),101,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1312,TO_TIMESTAMP('18-DEC-2021 02.37.34.969432840','DD-MON-YYYY HH24.MI.SS.FF'),207,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1313,TO_TIMESTAMP('18-DEC-2021 05.19.14.270849127','DD-MON-YYYY HH24.MI.SS.FF'),302,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1314,TO_TIMESTAMP('18-DEC-2021 06.17.50.398092040','DD-MON-YYYY HH24.MI.SS.FF'),240,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1315,TO_TIMESTAMP('18-DEC-2021 07.26.55.173496690','DD-MON-YYYY HH24.MI.SS.FF'),52,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1316,TO_TIMESTAMP('18-DEC-2021 09.20.40.779482200','DD-MON-YYYY HH24.MI.SS.FF'),332,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1317,TO_TIMESTAMP('18-DEC-2021 17.56.35.167015625','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1318,TO_TIMESTAMP('18-DEC-2021 19.56.31.791324915','DD-MON-YYYY HH24.MI.SS.FF'),348,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1319,TO_TIMESTAMP('18-DEC-2021 22.41.41.515482666','DD-MON-YYYY HH24.MI.SS.FF'),134,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1320,TO_TIMESTAMP('19-DEC-2021 10.35.34.987078931','DD-MON-YYYY HH24.MI.SS.FF'),45,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1321,TO_TIMESTAMP('19-DEC-2021 17.28.34.329404683','DD-MON-YYYY HH24.MI.SS.FF'),11,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1322,TO_TIMESTAMP('19-DEC-2021 20.08.49.968261065','DD-MON-YYYY HH24.MI.SS.FF'),64,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1323,TO_TIMESTAMP('20-DEC-2021 01.53.48.432922055','DD-MON-YYYY HH24.MI.SS.FF'),85,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1324,TO_TIMESTAMP('20-DEC-2021 04.53.23.138678897','DD-MON-YYYY HH24.MI.SS.FF'),131,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1325,TO_TIMESTAMP('20-DEC-2021 09.24.35.997704424','DD-MON-YYYY HH24.MI.SS.FF'),265,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1326,TO_TIMESTAMP('20-DEC-2021 11.19.17.528223076','DD-MON-YYYY HH24.MI.SS.FF'),31,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1327,TO_TIMESTAMP('20-DEC-2021 12.39.35.118769590','DD-MON-YYYY HH24.MI.SS.FF'),328,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1328,TO_TIMESTAMP('20-DEC-2021 16.56.01.678326770','DD-MON-YYYY HH24.MI.SS.FF'),255,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1329,TO_TIMESTAMP('20-DEC-2021 18.10.04.750197172','DD-MON-YYYY HH24.MI.SS.FF'),33,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1330,TO_TIMESTAMP('21-DEC-2021 05.36.56.878509471','DD-MON-YYYY HH24.MI.SS.FF'),351,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1331,TO_TIMESTAMP('21-DEC-2021 06.42.36.317412098','DD-MON-YYYY HH24.MI.SS.FF'),265,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1332,TO_TIMESTAMP('21-DEC-2021 06.49.09.105632065','DD-MON-YYYY HH24.MI.SS.FF'),165,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1333,TO_TIMESTAMP('21-DEC-2021 09.12.50.043074224','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1334,TO_TIMESTAMP('21-DEC-2021 12.00.50.712986678','DD-MON-YYYY HH24.MI.SS.FF'),211,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1335,TO_TIMESTAMP('21-DEC-2021 14.18.16.794773019','DD-MON-YYYY HH24.MI.SS.FF'),265,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1336,TO_TIMESTAMP('22-DEC-2021 03.21.27.143028733','DD-MON-YYYY HH24.MI.SS.FF'),155,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1337,TO_TIMESTAMP('22-DEC-2021 09.26.47.415628061','DD-MON-YYYY HH24.MI.SS.FF'),73,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1338,TO_TIMESTAMP('22-DEC-2021 12.23.41.774990908','DD-MON-YYYY HH24.MI.SS.FF'),382,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1339,TO_TIMESTAMP('22-DEC-2021 20.06.52.094238223','DD-MON-YYYY HH24.MI.SS.FF'),322,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1340,TO_TIMESTAMP('23-DEC-2021 04.11.37.770667587','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1341,TO_TIMESTAMP('23-DEC-2021 11.22.05.974962407','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1342,TO_TIMESTAMP('23-DEC-2021 16.59.40.642058066','DD-MON-YYYY HH24.MI.SS.FF'),333,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1343,TO_TIMESTAMP('23-DEC-2021 21.18.06.314527513','DD-MON-YYYY HH24.MI.SS.FF'),274,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1344,TO_TIMESTAMP('23-DEC-2021 21.50.20.601347977','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1345,TO_TIMESTAMP('23-DEC-2021 23.38.07.561001295','DD-MON-YYYY HH24.MI.SS.FF'),132,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1346,TO_TIMESTAMP('24-DEC-2021 01.18.46.347918729','DD-MON-YYYY HH24.MI.SS.FF'),245,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1347,TO_TIMESTAMP('24-DEC-2021 06.47.57.912433265','DD-MON-YYYY HH24.MI.SS.FF'),48,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1348,TO_TIMESTAMP('24-DEC-2021 07.53.12.397139239','DD-MON-YYYY HH24.MI.SS.FF'),18,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1349,TO_TIMESTAMP('24-DEC-2021 11.59.30.085579919','DD-MON-YYYY HH24.MI.SS.FF'),154,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1350,TO_TIMESTAMP('24-DEC-2021 18.35.31.080495834','DD-MON-YYYY HH24.MI.SS.FF'),289,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1351,TO_TIMESTAMP('25-DEC-2021 06.20.57.695754698','DD-MON-YYYY HH24.MI.SS.FF'),103,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1352,TO_TIMESTAMP('25-DEC-2021 07.13.17.122144594','DD-MON-YYYY HH24.MI.SS.FF'),28,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1353,TO_TIMESTAMP('25-DEC-2021 10.24.47.904805308','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1354,TO_TIMESTAMP('25-DEC-2021 11.58.31.837301337','DD-MON-YYYY HH24.MI.SS.FF'),222,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1355,TO_TIMESTAMP('25-DEC-2021 13.52.55.471669647','DD-MON-YYYY HH24.MI.SS.FF'),191,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1356,TO_TIMESTAMP('25-DEC-2021 15.00.38.938723597','DD-MON-YYYY HH24.MI.SS.FF'),390,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1357,TO_TIMESTAMP('25-DEC-2021 17.09.50.250558582','DD-MON-YYYY HH24.MI.SS.FF'),246,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1358,TO_TIMESTAMP('26-DEC-2021 00.21.45.377832624','DD-MON-YYYY HH24.MI.SS.FF'),306,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1359,TO_TIMESTAMP('26-DEC-2021 09.01.25.297578717','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1360,TO_TIMESTAMP('26-DEC-2021 14.53.25.129208938','DD-MON-YYYY HH24.MI.SS.FF'),267,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1361,TO_TIMESTAMP('27-DEC-2021 02.30.11.673356480','DD-MON-YYYY HH24.MI.SS.FF'),198,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1362,TO_TIMESTAMP('27-DEC-2021 03.25.17.789761055','DD-MON-YYYY HH24.MI.SS.FF'),353,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1363,TO_TIMESTAMP('27-DEC-2021 08.55.56.229410584','DD-MON-YYYY HH24.MI.SS.FF'),19,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1364,TO_TIMESTAMP('27-DEC-2021 15.04.20.388274335','DD-MON-YYYY HH24.MI.SS.FF'),39,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1365,TO_TIMESTAMP('28-DEC-2021 01.32.59.261285506','DD-MON-YYYY HH24.MI.SS.FF'),129,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1366,TO_TIMESTAMP('28-DEC-2021 01.37.04.540053046','DD-MON-YYYY HH24.MI.SS.FF'),44,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1367,TO_TIMESTAMP('28-DEC-2021 02.48.01.270337669','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1368,TO_TIMESTAMP('28-DEC-2021 03.48.08.669645889','DD-MON-YYYY HH24.MI.SS.FF'),301,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1369,TO_TIMESTAMP('28-DEC-2021 08.03.13.858672665','DD-MON-YYYY HH24.MI.SS.FF'),298,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1370,TO_TIMESTAMP('28-DEC-2021 08.12.46.081679592','DD-MON-YYYY HH24.MI.SS.FF'),358,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1371,TO_TIMESTAMP('28-DEC-2021 15.09.57.170426808','DD-MON-YYYY HH24.MI.SS.FF'),163,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1372,TO_TIMESTAMP('28-DEC-2021 20.10.08.098645152','DD-MON-YYYY HH24.MI.SS.FF'),102,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1373,TO_TIMESTAMP('29-DEC-2021 02.22.56.002859785','DD-MON-YYYY HH24.MI.SS.FF'),16,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1374,TO_TIMESTAMP('29-DEC-2021 11.20.30.551226374','DD-MON-YYYY HH24.MI.SS.FF'),333,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1375,TO_TIMESTAMP('29-DEC-2021 14.17.11.020327909','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1376,TO_TIMESTAMP('29-DEC-2021 19.23.47.608776438','DD-MON-YYYY HH24.MI.SS.FF'),382,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1377,TO_TIMESTAMP('29-DEC-2021 22.46.43.872141794','DD-MON-YYYY HH24.MI.SS.FF'),118,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1378,TO_TIMESTAMP('30-DEC-2021 02.00.09.867161320','DD-MON-YYYY HH24.MI.SS.FF'),384,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1379,TO_TIMESTAMP('30-DEC-2021 11.49.50.472639998','DD-MON-YYYY HH24.MI.SS.FF'),253,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1380,TO_TIMESTAMP('30-DEC-2021 16.09.22.336202979','DD-MON-YYYY HH24.MI.SS.FF'),99,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1381,TO_TIMESTAMP('30-DEC-2021 19.44.25.629311471','DD-MON-YYYY HH24.MI.SS.FF'),363,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1382,TO_TIMESTAMP('30-DEC-2021 21.31.50.606507284','DD-MON-YYYY HH24.MI.SS.FF'),185,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1383,TO_TIMESTAMP('31-DEC-2021 00.49.10.415402468','DD-MON-YYYY HH24.MI.SS.FF'),273,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1384,TO_TIMESTAMP('31-DEC-2021 02.20.57.513997360','DD-MON-YYYY HH24.MI.SS.FF'),331,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1385,TO_TIMESTAMP('31-DEC-2021 03.09.19.383520687','DD-MON-YYYY HH24.MI.SS.FF'),363,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1386,TO_TIMESTAMP('31-DEC-2021 06.43.23.097193455','DD-MON-YYYY HH24.MI.SS.FF'),309,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1387,TO_TIMESTAMP('31-DEC-2021 07.12.15.943338438','DD-MON-YYYY HH24.MI.SS.FF'),334,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1388,TO_TIMESTAMP('31-DEC-2021 07.33.35.698625175','DD-MON-YYYY HH24.MI.SS.FF'),104,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1389,TO_TIMESTAMP('31-DEC-2021 14.13.56.291244302','DD-MON-YYYY HH24.MI.SS.FF'),258,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1390,TO_TIMESTAMP('31-DEC-2021 15.47.26.170373736','DD-MON-YYYY HH24.MI.SS.FF'),1,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1391,TO_TIMESTAMP('31-DEC-2021 22.15.09.863205206','DD-MON-YYYY HH24.MI.SS.FF'),131,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1392,TO_TIMESTAMP('01-JAN-2022 02.41.19.782783542','DD-MON-YYYY HH24.MI.SS.FF'),194,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1393,TO_TIMESTAMP('01-JAN-2022 07.14.59.876452427','DD-MON-YYYY HH24.MI.SS.FF'),355,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1394,TO_TIMESTAMP('01-JAN-2022 15.29.40.567558807','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1395,TO_TIMESTAMP('01-JAN-2022 18.51.54.403136922','DD-MON-YYYY HH24.MI.SS.FF'),172,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1396,TO_TIMESTAMP('01-JAN-2022 20.05.42.227591393','DD-MON-YYYY HH24.MI.SS.FF'),232,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1397,TO_TIMESTAMP('01-JAN-2022 21.01.54.242269719','DD-MON-YYYY HH24.MI.SS.FF'),250,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1398,TO_TIMESTAMP('01-JAN-2022 23.53.03.767038298','DD-MON-YYYY HH24.MI.SS.FF'),278,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1399,TO_TIMESTAMP('02-JAN-2022 02.57.06.263322468','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1400,TO_TIMESTAMP('02-JAN-2022 05.48.13.206098004','DD-MON-YYYY HH24.MI.SS.FF'),15,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1401,TO_TIMESTAMP('02-JAN-2022 06.45.26.316788641','DD-MON-YYYY HH24.MI.SS.FF'),244,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1402,TO_TIMESTAMP('02-JAN-2022 07.20.59.009122053','DD-MON-YYYY HH24.MI.SS.FF'),246,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1403,TO_TIMESTAMP('02-JAN-2022 12.08.20.082511631','DD-MON-YYYY HH24.MI.SS.FF'),382,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1404,TO_TIMESTAMP('02-JAN-2022 12.25.35.376615937','DD-MON-YYYY HH24.MI.SS.FF'),211,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1405,TO_TIMESTAMP('03-JAN-2022 02.07.24.120069128','DD-MON-YYYY HH24.MI.SS.FF'),315,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1406,TO_TIMESTAMP('03-JAN-2022 03.03.15.557198660','DD-MON-YYYY HH24.MI.SS.FF'),91,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1407,TO_TIMESTAMP('03-JAN-2022 03.05.21.244599654','DD-MON-YYYY HH24.MI.SS.FF'),76,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1408,TO_TIMESTAMP('03-JAN-2022 09.06.12.113930279','DD-MON-YYYY HH24.MI.SS.FF'),292,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1409,TO_TIMESTAMP('03-JAN-2022 15.45.03.422211157','DD-MON-YYYY HH24.MI.SS.FF'),246,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1410,TO_TIMESTAMP('03-JAN-2022 17.30.38.268584196','DD-MON-YYYY HH24.MI.SS.FF'),220,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1411,TO_TIMESTAMP('03-JAN-2022 18.43.01.384612056','DD-MON-YYYY HH24.MI.SS.FF'),41,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1412,TO_TIMESTAMP('03-JAN-2022 20.11.20.598117371','DD-MON-YYYY HH24.MI.SS.FF'),68,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1413,TO_TIMESTAMP('04-JAN-2022 01.41.28.336675908','DD-MON-YYYY HH24.MI.SS.FF'),347,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1414,TO_TIMESTAMP('04-JAN-2022 02.03.45.714396081','DD-MON-YYYY HH24.MI.SS.FF'),135,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1415,TO_TIMESTAMP('04-JAN-2022 16.01.37.804794796','DD-MON-YYYY HH24.MI.SS.FF'),83,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1416,TO_TIMESTAMP('04-JAN-2022 20.47.35.072787384','DD-MON-YYYY HH24.MI.SS.FF'),245,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1417,TO_TIMESTAMP('05-JAN-2022 03.40.37.323917033','DD-MON-YYYY HH24.MI.SS.FF'),307,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1418,TO_TIMESTAMP('05-JAN-2022 04.26.48.901209927','DD-MON-YYYY HH24.MI.SS.FF'),13,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1419,TO_TIMESTAMP('05-JAN-2022 06.57.32.486288589','DD-MON-YYYY HH24.MI.SS.FF'),189,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1420,TO_TIMESTAMP('05-JAN-2022 07.18.29.027667288','DD-MON-YYYY HH24.MI.SS.FF'),215,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1421,TO_TIMESTAMP('05-JAN-2022 08.27.57.520873389','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1422,TO_TIMESTAMP('05-JAN-2022 10.22.33.068811735','DD-MON-YYYY HH24.MI.SS.FF'),122,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1423,TO_TIMESTAMP('05-JAN-2022 12.46.18.471600061','DD-MON-YYYY HH24.MI.SS.FF'),306,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1424,TO_TIMESTAMP('05-JAN-2022 20.03.35.678357809','DD-MON-YYYY HH24.MI.SS.FF'),249,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1425,TO_TIMESTAMP('05-JAN-2022 22.10.55.157941648','DD-MON-YYYY HH24.MI.SS.FF'),190,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1426,TO_TIMESTAMP('06-JAN-2022 14.22.41.408452709','DD-MON-YYYY HH24.MI.SS.FF'),87,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1427,TO_TIMESTAMP('06-JAN-2022 15.58.49.115792674','DD-MON-YYYY HH24.MI.SS.FF'),127,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1428,TO_TIMESTAMP('06-JAN-2022 16.44.22.315677825','DD-MON-YYYY HH24.MI.SS.FF'),188,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1429,TO_TIMESTAMP('06-JAN-2022 22.07.48.068461592','DD-MON-YYYY HH24.MI.SS.FF'),196,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1430,TO_TIMESTAMP('07-JAN-2022 04.07.13.908889376','DD-MON-YYYY HH24.MI.SS.FF'),336,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1431,TO_TIMESTAMP('07-JAN-2022 08.31.16.314936173','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1432,TO_TIMESTAMP('07-JAN-2022 14.54.55.365241435','DD-MON-YYYY HH24.MI.SS.FF'),337,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1433,TO_TIMESTAMP('07-JAN-2022 15.05.40.406352373','DD-MON-YYYY HH24.MI.SS.FF'),57,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1434,TO_TIMESTAMP('07-JAN-2022 15.23.15.407606317','DD-MON-YYYY HH24.MI.SS.FF'),44,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1435,TO_TIMESTAMP('07-JAN-2022 15.57.14.316173243','DD-MON-YYYY HH24.MI.SS.FF'),22,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1436,TO_TIMESTAMP('07-JAN-2022 18.16.36.368995078','DD-MON-YYYY HH24.MI.SS.FF'),161,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1437,TO_TIMESTAMP('08-JAN-2022 08.04.31.391631963','DD-MON-YYYY HH24.MI.SS.FF'),16,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1438,TO_TIMESTAMP('08-JAN-2022 12.50.52.374026935','DD-MON-YYYY HH24.MI.SS.FF'),52,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1439,TO_TIMESTAMP('08-JAN-2022 15.48.25.232373583','DD-MON-YYYY HH24.MI.SS.FF'),16,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1440,TO_TIMESTAMP('08-JAN-2022 16.31.08.652493466','DD-MON-YYYY HH24.MI.SS.FF'),104,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1441,TO_TIMESTAMP('08-JAN-2022 18.20.53.020864547','DD-MON-YYYY HH24.MI.SS.FF'),364,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1442,TO_TIMESTAMP('08-JAN-2022 20.24.31.945907452','DD-MON-YYYY HH24.MI.SS.FF'),93,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1443,TO_TIMESTAMP('09-JAN-2022 19.46.17.985855147','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1444,TO_TIMESTAMP('10-JAN-2022 09.47.01.667814211','DD-MON-YYYY HH24.MI.SS.FF'),67,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1445,TO_TIMESTAMP('10-JAN-2022 12.13.05.691069817','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1446,TO_TIMESTAMP('10-JAN-2022 14.08.38.741107940','DD-MON-YYYY HH24.MI.SS.FF'),49,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1447,TO_TIMESTAMP('10-JAN-2022 15.03.57.088418831','DD-MON-YYYY HH24.MI.SS.FF'),114,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1448,TO_TIMESTAMP('10-JAN-2022 18.05.40.626337575','DD-MON-YYYY HH24.MI.SS.FF'),16,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1449,TO_TIMESTAMP('10-JAN-2022 18.11.41.167414811','DD-MON-YYYY HH24.MI.SS.FF'),243,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1450,TO_TIMESTAMP('10-JAN-2022 18.52.30.324331432','DD-MON-YYYY HH24.MI.SS.FF'),6,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1451,TO_TIMESTAMP('10-JAN-2022 19.06.48.689623326','DD-MON-YYYY HH24.MI.SS.FF'),16,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1452,TO_TIMESTAMP('10-JAN-2022 21.11.04.094559637','DD-MON-YYYY HH24.MI.SS.FF'),41,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1453,TO_TIMESTAMP('11-JAN-2022 06.43.12.631771111','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1454,TO_TIMESTAMP('11-JAN-2022 09.52.35.105893443','DD-MON-YYYY HH24.MI.SS.FF'),73,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1455,TO_TIMESTAMP('11-JAN-2022 14.35.59.390244105','DD-MON-YYYY HH24.MI.SS.FF'),4,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1456,TO_TIMESTAMP('11-JAN-2022 15.59.38.578005361','DD-MON-YYYY HH24.MI.SS.FF'),196,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1457,TO_TIMESTAMP('12-JAN-2022 00.05.28.510598762','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1458,TO_TIMESTAMP('12-JAN-2022 00.37.04.846171900','DD-MON-YYYY HH24.MI.SS.FF'),305,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1459,TO_TIMESTAMP('12-JAN-2022 02.13.03.026529601','DD-MON-YYYY HH24.MI.SS.FF'),207,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1460,TO_TIMESTAMP('12-JAN-2022 02.14.40.950696500','DD-MON-YYYY HH24.MI.SS.FF'),365,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1461,TO_TIMESTAMP('12-JAN-2022 03.57.26.379539708','DD-MON-YYYY HH24.MI.SS.FF'),288,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1462,TO_TIMESTAMP('12-JAN-2022 07.56.18.109651745','DD-MON-YYYY HH24.MI.SS.FF'),277,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1463,TO_TIMESTAMP('12-JAN-2022 10.23.16.488254537','DD-MON-YYYY HH24.MI.SS.FF'),262,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1464,TO_TIMESTAMP('12-JAN-2022 10.47.29.480814654','DD-MON-YYYY HH24.MI.SS.FF'),118,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1465,TO_TIMESTAMP('12-JAN-2022 14.32.01.255087244','DD-MON-YYYY HH24.MI.SS.FF'),121,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1466,TO_TIMESTAMP('12-JAN-2022 14.56.06.618239228','DD-MON-YYYY HH24.MI.SS.FF'),155,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1467,TO_TIMESTAMP('12-JAN-2022 22.27.49.292536206','DD-MON-YYYY HH24.MI.SS.FF'),352,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1468,TO_TIMESTAMP('13-JAN-2022 01.22.50.411159524','DD-MON-YYYY HH24.MI.SS.FF'),4,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1469,TO_TIMESTAMP('13-JAN-2022 02.41.07.282950016','DD-MON-YYYY HH24.MI.SS.FF'),26,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1470,TO_TIMESTAMP('13-JAN-2022 05.49.16.995245292','DD-MON-YYYY HH24.MI.SS.FF'),100,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1471,TO_TIMESTAMP('13-JAN-2022 06.25.29.562733235','DD-MON-YYYY HH24.MI.SS.FF'),14,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1472,TO_TIMESTAMP('13-JAN-2022 06.54.37.487332906','DD-MON-YYYY HH24.MI.SS.FF'),89,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1473,TO_TIMESTAMP('13-JAN-2022 07.37.37.564985197','DD-MON-YYYY HH24.MI.SS.FF'),202,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1474,TO_TIMESTAMP('13-JAN-2022 12.43.14.893004361','DD-MON-YYYY HH24.MI.SS.FF'),159,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1475,TO_TIMESTAMP('13-JAN-2022 18.23.33.261294295','DD-MON-YYYY HH24.MI.SS.FF'),158,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1476,TO_TIMESTAMP('13-JAN-2022 23.07.42.060035205','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1477,TO_TIMESTAMP('14-JAN-2022 05.19.30.895720753','DD-MON-YYYY HH24.MI.SS.FF'),329,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1478,TO_TIMESTAMP('14-JAN-2022 09.01.38.815649863','DD-MON-YYYY HH24.MI.SS.FF'),191,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1479,TO_TIMESTAMP('14-JAN-2022 11.10.46.110352350','DD-MON-YYYY HH24.MI.SS.FF'),128,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1480,TO_TIMESTAMP('14-JAN-2022 11.24.17.222525889','DD-MON-YYYY HH24.MI.SS.FF'),299,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1481,TO_TIMESTAMP('14-JAN-2022 12.54.50.897137654','DD-MON-YYYY HH24.MI.SS.FF'),321,2,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1482,TO_TIMESTAMP('14-JAN-2022 18.11.09.203373106','DD-MON-YYYY HH24.MI.SS.FF'),175,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1483,TO_TIMESTAMP('14-JAN-2022 19.04.58.793222144','DD-MON-YYYY HH24.MI.SS.FF'),14,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1484,TO_TIMESTAMP('15-JAN-2022 03.40.23.367150704','DD-MON-YYYY HH24.MI.SS.FF'),171,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1485,TO_TIMESTAMP('15-JAN-2022 04.16.38.867370876','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1486,TO_TIMESTAMP('15-JAN-2022 15.31.29.057026668','DD-MON-YYYY HH24.MI.SS.FF'),15,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1487,TO_TIMESTAMP('15-JAN-2022 20.50.06.727124796','DD-MON-YYYY HH24.MI.SS.FF'),26,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1488,TO_TIMESTAMP('15-JAN-2022 21.13.35.256597663','DD-MON-YYYY HH24.MI.SS.FF'),185,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1489,TO_TIMESTAMP('15-JAN-2022 22.10.42.616286586','DD-MON-YYYY HH24.MI.SS.FF'),130,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1490,TO_TIMESTAMP('15-JAN-2022 22.51.20.451280486','DD-MON-YYYY HH24.MI.SS.FF'),36,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1491,TO_TIMESTAMP('16-JAN-2022 08.12.31.926231871','DD-MON-YYYY HH24.MI.SS.FF'),1,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1492,TO_TIMESTAMP('16-JAN-2022 15.07.12.960092224','DD-MON-YYYY HH24.MI.SS.FF'),279,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1493,TO_TIMESTAMP('16-JAN-2022 16.03.12.072268719','DD-MON-YYYY HH24.MI.SS.FF'),385,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1494,TO_TIMESTAMP('16-JAN-2022 16.51.19.150724967','DD-MON-YYYY HH24.MI.SS.FF'),222,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1495,TO_TIMESTAMP('16-JAN-2022 22.38.09.829932179','DD-MON-YYYY HH24.MI.SS.FF'),192,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1496,TO_TIMESTAMP('16-JAN-2022 23.13.09.865736086','DD-MON-YYYY HH24.MI.SS.FF'),156,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1497,TO_TIMESTAMP('17-JAN-2022 05.05.28.757916134','DD-MON-YYYY HH24.MI.SS.FF'),349,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1498,TO_TIMESTAMP('17-JAN-2022 05.36.16.018249693','DD-MON-YYYY HH24.MI.SS.FF'),13,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1499,TO_TIMESTAMP('17-JAN-2022 06.45.34.876618735','DD-MON-YYYY HH24.MI.SS.FF'),372,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1500,TO_TIMESTAMP('17-JAN-2022 22.15.24.766389833','DD-MON-YYYY HH24.MI.SS.FF'),253,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1501,TO_TIMESTAMP('18-JAN-2022 01.25.26.902122318','DD-MON-YYYY HH24.MI.SS.FF'),199,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1502,TO_TIMESTAMP('18-JAN-2022 01.29.40.857727585','DD-MON-YYYY HH24.MI.SS.FF'),233,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1503,TO_TIMESTAMP('18-JAN-2022 07.55.26.868005792','DD-MON-YYYY HH24.MI.SS.FF'),138,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1504,TO_TIMESTAMP('18-JAN-2022 11.46.03.023561291','DD-MON-YYYY HH24.MI.SS.FF'),337,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1505,TO_TIMESTAMP('18-JAN-2022 15.53.56.159402088','DD-MON-YYYY HH24.MI.SS.FF'),136,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1506,TO_TIMESTAMP('18-JAN-2022 17.42.25.011049281','DD-MON-YYYY HH24.MI.SS.FF'),305,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1507,TO_TIMESTAMP('18-JAN-2022 17.53.07.780471313','DD-MON-YYYY HH24.MI.SS.FF'),227,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1508,TO_TIMESTAMP('18-JAN-2022 18.39.42.627980864','DD-MON-YYYY HH24.MI.SS.FF'),163,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1509,TO_TIMESTAMP('19-JAN-2022 09.39.16.677755363','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1510,TO_TIMESTAMP('19-JAN-2022 15.24.28.459497591','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1511,TO_TIMESTAMP('19-JAN-2022 17.23.58.817132615','DD-MON-YYYY HH24.MI.SS.FF'),135,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1512,TO_TIMESTAMP('20-JAN-2022 02.22.39.162359513','DD-MON-YYYY HH24.MI.SS.FF'),330,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1513,TO_TIMESTAMP('20-JAN-2022 04.13.26.887537113','DD-MON-YYYY HH24.MI.SS.FF'),20,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1514,TO_TIMESTAMP('20-JAN-2022 10.02.25.228710409','DD-MON-YYYY HH24.MI.SS.FF'),229,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1515,TO_TIMESTAMP('20-JAN-2022 10.45.45.740033425','DD-MON-YYYY HH24.MI.SS.FF'),230,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1516,TO_TIMESTAMP('20-JAN-2022 12.39.21.444752584','DD-MON-YYYY HH24.MI.SS.FF'),362,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1517,TO_TIMESTAMP('20-JAN-2022 15.10.17.077798024','DD-MON-YYYY HH24.MI.SS.FF'),237,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1518,TO_TIMESTAMP('20-JAN-2022 16.23.56.033984333','DD-MON-YYYY HH24.MI.SS.FF'),131,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1519,TO_TIMESTAMP('20-JAN-2022 21.58.45.353971166','DD-MON-YYYY HH24.MI.SS.FF'),202,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1520,TO_TIMESTAMP('20-JAN-2022 23.42.12.885651362','DD-MON-YYYY HH24.MI.SS.FF'),3,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1521,TO_TIMESTAMP('21-JAN-2022 00.43.04.319683144','DD-MON-YYYY HH24.MI.SS.FF'),147,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1522,TO_TIMESTAMP('21-JAN-2022 03.50.28.886640993','DD-MON-YYYY HH24.MI.SS.FF'),86,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1523,TO_TIMESTAMP('21-JAN-2022 09.35.14.026494140','DD-MON-YYYY HH24.MI.SS.FF'),392,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1524,TO_TIMESTAMP('21-JAN-2022 11.28.57.135391697','DD-MON-YYYY HH24.MI.SS.FF'),26,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1525,TO_TIMESTAMP('21-JAN-2022 13.17.54.579876499','DD-MON-YYYY HH24.MI.SS.FF'),10,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1526,TO_TIMESTAMP('21-JAN-2022 13.38.48.294208251','DD-MON-YYYY HH24.MI.SS.FF'),231,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1527,TO_TIMESTAMP('21-JAN-2022 14.09.32.107807643','DD-MON-YYYY HH24.MI.SS.FF'),214,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1528,TO_TIMESTAMP('21-JAN-2022 15.10.19.579936224','DD-MON-YYYY HH24.MI.SS.FF'),134,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1529,TO_TIMESTAMP('21-JAN-2022 16.15.14.166230399','DD-MON-YYYY HH24.MI.SS.FF'),71,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1530,TO_TIMESTAMP('21-JAN-2022 21.21.02.891365784','DD-MON-YYYY HH24.MI.SS.FF'),102,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1531,TO_TIMESTAMP('22-JAN-2022 02.53.15.189795176','DD-MON-YYYY HH24.MI.SS.FF'),364,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1532,TO_TIMESTAMP('22-JAN-2022 03.14.49.055500052','DD-MON-YYYY HH24.MI.SS.FF'),74,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1533,TO_TIMESTAMP('22-JAN-2022 07.54.53.209766576','DD-MON-YYYY HH24.MI.SS.FF'),215,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1534,TO_TIMESTAMP('22-JAN-2022 14.26.40.584799014','DD-MON-YYYY HH24.MI.SS.FF'),216,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1535,TO_TIMESTAMP('22-JAN-2022 14.38.17.438678255','DD-MON-YYYY HH24.MI.SS.FF'),295,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1536,TO_TIMESTAMP('22-JAN-2022 15.42.06.147014229','DD-MON-YYYY HH24.MI.SS.FF'),90,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1537,TO_TIMESTAMP('22-JAN-2022 17.35.03.611261287','DD-MON-YYYY HH24.MI.SS.FF'),91,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1538,TO_TIMESTAMP('23-JAN-2022 00.55.53.530855121','DD-MON-YYYY HH24.MI.SS.FF'),65,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1539,TO_TIMESTAMP('23-JAN-2022 02.20.40.932212568','DD-MON-YYYY HH24.MI.SS.FF'),273,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1540,TO_TIMESTAMP('23-JAN-2022 05.46.02.657977239','DD-MON-YYYY HH24.MI.SS.FF'),354,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1541,TO_TIMESTAMP('23-JAN-2022 06.45.56.402285870','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1542,TO_TIMESTAMP('23-JAN-2022 08.03.44.708824286','DD-MON-YYYY HH24.MI.SS.FF'),100,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1543,TO_TIMESTAMP('23-JAN-2022 11.49.58.042142038','DD-MON-YYYY HH24.MI.SS.FF'),8,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1544,TO_TIMESTAMP('23-JAN-2022 12.28.21.356074458','DD-MON-YYYY HH24.MI.SS.FF'),234,2,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1545,TO_TIMESTAMP('23-JAN-2022 17.33.51.085939253','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1546,TO_TIMESTAMP('23-JAN-2022 21.03.54.597996295','DD-MON-YYYY HH24.MI.SS.FF'),43,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1547,TO_TIMESTAMP('23-JAN-2022 22.12.54.425417571','DD-MON-YYYY HH24.MI.SS.FF'),218,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1548,TO_TIMESTAMP('24-JAN-2022 04.15.22.365956704','DD-MON-YYYY HH24.MI.SS.FF'),388,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1549,TO_TIMESTAMP('24-JAN-2022 04.24.15.088549453','DD-MON-YYYY HH24.MI.SS.FF'),19,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1550,TO_TIMESTAMP('24-JAN-2022 05.29.20.590603632','DD-MON-YYYY HH24.MI.SS.FF'),392,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1551,TO_TIMESTAMP('24-JAN-2022 07.19.32.303100613','DD-MON-YYYY HH24.MI.SS.FF'),357,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1552,TO_TIMESTAMP('24-JAN-2022 12.09.14.646254258','DD-MON-YYYY HH24.MI.SS.FF'),17,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1553,TO_TIMESTAMP('24-JAN-2022 14.58.11.820752854','DD-MON-YYYY HH24.MI.SS.FF'),162,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1554,TO_TIMESTAMP('24-JAN-2022 15.11.10.373483582','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1555,TO_TIMESTAMP('24-JAN-2022 15.17.49.859502469','DD-MON-YYYY HH24.MI.SS.FF'),7,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1556,TO_TIMESTAMP('25-JAN-2022 00.35.15.128597148','DD-MON-YYYY HH24.MI.SS.FF'),130,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1557,TO_TIMESTAMP('25-JAN-2022 03.37.55.631376955','DD-MON-YYYY HH24.MI.SS.FF'),240,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1558,TO_TIMESTAMP('25-JAN-2022 03.44.54.626100435','DD-MON-YYYY HH24.MI.SS.FF'),44,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1559,TO_TIMESTAMP('25-JAN-2022 05.16.00.179001539','DD-MON-YYYY HH24.MI.SS.FF'),75,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1560,TO_TIMESTAMP('25-JAN-2022 05.33.55.537004013','DD-MON-YYYY HH24.MI.SS.FF'),14,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1561,TO_TIMESTAMP('25-JAN-2022 07.56.53.190977021','DD-MON-YYYY HH24.MI.SS.FF'),8,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1562,TO_TIMESTAMP('25-JAN-2022 11.40.34.464521351','DD-MON-YYYY HH24.MI.SS.FF'),385,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1563,TO_TIMESTAMP('25-JAN-2022 13.07.53.572512700','DD-MON-YYYY HH24.MI.SS.FF'),188,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1564,TO_TIMESTAMP('25-JAN-2022 15.50.11.955943811','DD-MON-YYYY HH24.MI.SS.FF'),302,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1565,TO_TIMESTAMP('25-JAN-2022 18.35.35.748510868','DD-MON-YYYY HH24.MI.SS.FF'),270,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1566,TO_TIMESTAMP('25-JAN-2022 20.26.46.551508976','DD-MON-YYYY HH24.MI.SS.FF'),222,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1567,TO_TIMESTAMP('26-JAN-2022 03.23.23.423401759','DD-MON-YYYY HH24.MI.SS.FF'),336,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1568,TO_TIMESTAMP('26-JAN-2022 06.03.27.083643400','DD-MON-YYYY HH24.MI.SS.FF'),236,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1569,TO_TIMESTAMP('26-JAN-2022 07.44.24.805907113','DD-MON-YYYY HH24.MI.SS.FF'),297,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1570,TO_TIMESTAMP('26-JAN-2022 09.31.18.707592744','DD-MON-YYYY HH24.MI.SS.FF'),389,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1571,TO_TIMESTAMP('26-JAN-2022 13.48.41.485333823','DD-MON-YYYY HH24.MI.SS.FF'),296,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1572,TO_TIMESTAMP('26-JAN-2022 15.14.22.786424894','DD-MON-YYYY HH24.MI.SS.FF'),102,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1573,TO_TIMESTAMP('26-JAN-2022 19.49.26.409902183','DD-MON-YYYY HH24.MI.SS.FF'),133,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1574,TO_TIMESTAMP('27-JAN-2022 01.11.28.846935204','DD-MON-YYYY HH24.MI.SS.FF'),123,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1575,TO_TIMESTAMP('27-JAN-2022 09.32.01.833888061','DD-MON-YYYY HH24.MI.SS.FF'),360,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1576,TO_TIMESTAMP('27-JAN-2022 13.07.28.695223397','DD-MON-YYYY HH24.MI.SS.FF'),62,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1577,TO_TIMESTAMP('27-JAN-2022 20.35.42.382543288','DD-MON-YYYY HH24.MI.SS.FF'),208,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1578,TO_TIMESTAMP('28-JAN-2022 01.27.44.889000755','DD-MON-YYYY HH24.MI.SS.FF'),218,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1579,TO_TIMESTAMP('28-JAN-2022 03.34.02.554216401','DD-MON-YYYY HH24.MI.SS.FF'),184,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1580,TO_TIMESTAMP('28-JAN-2022 07.24.45.810616952','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1581,TO_TIMESTAMP('28-JAN-2022 10.10.51.045820939','DD-MON-YYYY HH24.MI.SS.FF'),154,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1582,TO_TIMESTAMP('28-JAN-2022 13.04.54.536364430','DD-MON-YYYY HH24.MI.SS.FF'),58,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1583,TO_TIMESTAMP('28-JAN-2022 18.31.10.736394081','DD-MON-YYYY HH24.MI.SS.FF'),274,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1584,TO_TIMESTAMP('28-JAN-2022 18.50.27.918012186','DD-MON-YYYY HH24.MI.SS.FF'),361,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1585,TO_TIMESTAMP('28-JAN-2022 21.24.05.798069123','DD-MON-YYYY HH24.MI.SS.FF'),75,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1586,TO_TIMESTAMP('29-JAN-2022 00.01.07.925745072','DD-MON-YYYY HH24.MI.SS.FF'),47,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1587,TO_TIMESTAMP('29-JAN-2022 02.16.34.254963384','DD-MON-YYYY HH24.MI.SS.FF'),130,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1588,TO_TIMESTAMP('29-JAN-2022 09.16.35.750225731','DD-MON-YYYY HH24.MI.SS.FF'),190,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1589,TO_TIMESTAMP('29-JAN-2022 09.42.17.840422712','DD-MON-YYYY HH24.MI.SS.FF'),160,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1590,TO_TIMESTAMP('30-JAN-2022 00.40.49.284310417','DD-MON-YYYY HH24.MI.SS.FF'),129,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1591,TO_TIMESTAMP('30-JAN-2022 02.22.26.738603274','DD-MON-YYYY HH24.MI.SS.FF'),183,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1592,TO_TIMESTAMP('30-JAN-2022 07.08.20.500219701','DD-MON-YYYY HH24.MI.SS.FF'),121,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1593,TO_TIMESTAMP('30-JAN-2022 08.07.51.335270472','DD-MON-YYYY HH24.MI.SS.FF'),139,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1594,TO_TIMESTAMP('30-JAN-2022 12.23.39.891307502','DD-MON-YYYY HH24.MI.SS.FF'),56,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1595,TO_TIMESTAMP('30-JAN-2022 14.00.37.145348311','DD-MON-YYYY HH24.MI.SS.FF'),72,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1596,TO_TIMESTAMP('30-JAN-2022 14.52.44.595504738','DD-MON-YYYY HH24.MI.SS.FF'),148,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1597,TO_TIMESTAMP('30-JAN-2022 15.45.55.123101550','DD-MON-YYYY HH24.MI.SS.FF'),276,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1598,TO_TIMESTAMP('31-JAN-2022 04.48.28.803078604','DD-MON-YYYY HH24.MI.SS.FF'),387,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1599,TO_TIMESTAMP('31-JAN-2022 05.36.59.561329098','DD-MON-YYYY HH24.MI.SS.FF'),83,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1600,TO_TIMESTAMP('31-JAN-2022 07.38.17.371686425','DD-MON-YYYY HH24.MI.SS.FF'),359,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1601,TO_TIMESTAMP('31-JAN-2022 15.40.52.143497288','DD-MON-YYYY HH24.MI.SS.FF'),179,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1602,TO_TIMESTAMP('31-JAN-2022 16.04.00.853750216','DD-MON-YYYY HH24.MI.SS.FF'),206,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1603,TO_TIMESTAMP('31-JAN-2022 16.31.05.953862598','DD-MON-YYYY HH24.MI.SS.FF'),205,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1604,TO_TIMESTAMP('31-JAN-2022 18.23.46.679132833','DD-MON-YYYY HH24.MI.SS.FF'),347,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1605,TO_TIMESTAMP('31-JAN-2022 18.54.01.567516022','DD-MON-YYYY HH24.MI.SS.FF'),306,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1606,TO_TIMESTAMP('31-JAN-2022 20.32.37.958479848','DD-MON-YYYY HH24.MI.SS.FF'),30,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1607,TO_TIMESTAMP('01-FEB-2022 00.00.43.351198675','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1608,TO_TIMESTAMP('01-FEB-2022 05.50.41.778245876','DD-MON-YYYY HH24.MI.SS.FF'),247,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1609,TO_TIMESTAMP('01-FEB-2022 10.57.06.908601237','DD-MON-YYYY HH24.MI.SS.FF'),192,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1610,TO_TIMESTAMP('01-FEB-2022 20.23.59.190045931','DD-MON-YYYY HH24.MI.SS.FF'),212,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1611,TO_TIMESTAMP('01-FEB-2022 20.42.19.054694769','DD-MON-YYYY HH24.MI.SS.FF'),166,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1612,TO_TIMESTAMP('01-FEB-2022 22.59.58.576086749','DD-MON-YYYY HH24.MI.SS.FF'),28,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1613,TO_TIMESTAMP('02-FEB-2022 06.51.23.250067865','DD-MON-YYYY HH24.MI.SS.FF'),306,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1614,TO_TIMESTAMP('02-FEB-2022 08.28.14.386011307','DD-MON-YYYY HH24.MI.SS.FF'),226,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1615,TO_TIMESTAMP('02-FEB-2022 17.53.27.402657199','DD-MON-YYYY HH24.MI.SS.FF'),128,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1616,TO_TIMESTAMP('02-FEB-2022 18.09.45.437493230','DD-MON-YYYY HH24.MI.SS.FF'),82,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1617,TO_TIMESTAMP('02-FEB-2022 18.47.45.874367186','DD-MON-YYYY HH24.MI.SS.FF'),160,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1618,TO_TIMESTAMP('02-FEB-2022 22.11.35.132290822','DD-MON-YYYY HH24.MI.SS.FF'),382,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1619,TO_TIMESTAMP('03-FEB-2022 00.16.40.775038094','DD-MON-YYYY HH24.MI.SS.FF'),228,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1620,TO_TIMESTAMP('03-FEB-2022 05.13.10.955290580','DD-MON-YYYY HH24.MI.SS.FF'),27,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1621,TO_TIMESTAMP('03-FEB-2022 10.09.23.422797457','DD-MON-YYYY HH24.MI.SS.FF'),47,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1622,TO_TIMESTAMP('03-FEB-2022 10.24.45.345920373','DD-MON-YYYY HH24.MI.SS.FF'),59,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1623,TO_TIMESTAMP('03-FEB-2022 11.37.12.453316038','DD-MON-YYYY HH24.MI.SS.FF'),211,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1624,TO_TIMESTAMP('03-FEB-2022 12.26.37.800063002','DD-MON-YYYY HH24.MI.SS.FF'),320,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1625,TO_TIMESTAMP('04-FEB-2022 00.27.06.951331495','DD-MON-YYYY HH24.MI.SS.FF'),163,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1626,TO_TIMESTAMP('04-FEB-2022 05.31.59.861292872','DD-MON-YYYY HH24.MI.SS.FF'),152,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1627,TO_TIMESTAMP('04-FEB-2022 10.12.07.240509632','DD-MON-YYYY HH24.MI.SS.FF'),275,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1628,TO_TIMESTAMP('04-FEB-2022 18.56.39.908021929','DD-MON-YYYY HH24.MI.SS.FF'),219,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1629,TO_TIMESTAMP('04-FEB-2022 19.46.26.765673147','DD-MON-YYYY HH24.MI.SS.FF'),162,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1630,TO_TIMESTAMP('04-FEB-2022 19.49.44.343198920','DD-MON-YYYY HH24.MI.SS.FF'),333,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1631,TO_TIMESTAMP('04-FEB-2022 23.45.10.993209180','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1632,TO_TIMESTAMP('05-FEB-2022 03.56.48.621655576','DD-MON-YYYY HH24.MI.SS.FF'),278,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1633,TO_TIMESTAMP('05-FEB-2022 05.09.36.167909148','DD-MON-YYYY HH24.MI.SS.FF'),76,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1634,TO_TIMESTAMP('05-FEB-2022 07.50.15.673413999','DD-MON-YYYY HH24.MI.SS.FF'),348,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1635,TO_TIMESTAMP('05-FEB-2022 13.18.25.041365823','DD-MON-YYYY HH24.MI.SS.FF'),11,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1636,TO_TIMESTAMP('05-FEB-2022 19.01.22.319514779','DD-MON-YYYY HH24.MI.SS.FF'),366,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1637,TO_TIMESTAMP('06-FEB-2022 02.16.49.481784279','DD-MON-YYYY HH24.MI.SS.FF'),12,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1638,TO_TIMESTAMP('06-FEB-2022 03.52.03.039998806','DD-MON-YYYY HH24.MI.SS.FF'),135,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1639,TO_TIMESTAMP('06-FEB-2022 04.33.54.085408736','DD-MON-YYYY HH24.MI.SS.FF'),72,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1640,TO_TIMESTAMP('07-FEB-2022 01.07.08.721930227','DD-MON-YYYY HH24.MI.SS.FF'),306,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1641,TO_TIMESTAMP('07-FEB-2022 01.15.19.464638771','DD-MON-YYYY HH24.MI.SS.FF'),388,11,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1642,TO_TIMESTAMP('07-FEB-2022 04.20.16.715808656','DD-MON-YYYY HH24.MI.SS.FF'),296,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1643,TO_TIMESTAMP('07-FEB-2022 10.10.25.523913899','DD-MON-YYYY HH24.MI.SS.FF'),192,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1644,TO_TIMESTAMP('07-FEB-2022 11.17.45.806853466','DD-MON-YYYY HH24.MI.SS.FF'),179,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1645,TO_TIMESTAMP('07-FEB-2022 13.58.20.175833259','DD-MON-YYYY HH24.MI.SS.FF'),205,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1646,TO_TIMESTAMP('07-FEB-2022 21.26.47.276125841','DD-MON-YYYY HH24.MI.SS.FF'),217,14,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1647,TO_TIMESTAMP('08-FEB-2022 13.38.43.389797931','DD-MON-YYYY HH24.MI.SS.FF'),217,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1648,TO_TIMESTAMP('08-FEB-2022 17.27.12.588841391','DD-MON-YYYY HH24.MI.SS.FF'),301,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1649,TO_TIMESTAMP('09-FEB-2022 04.18.49.864253324','DD-MON-YYYY HH24.MI.SS.FF'),312,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1650,TO_TIMESTAMP('09-FEB-2022 04.38.02.130617359','DD-MON-YYYY HH24.MI.SS.FF'),103,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1651,TO_TIMESTAMP('09-FEB-2022 11.20.07.757530318','DD-MON-YYYY HH24.MI.SS.FF'),319,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1652,TO_TIMESTAMP('09-FEB-2022 11.42.41.135380007','DD-MON-YYYY HH24.MI.SS.FF'),92,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1653,TO_TIMESTAMP('09-FEB-2022 15.03.24.206685544','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1654,TO_TIMESTAMP('09-FEB-2022 16.17.55.724750199','DD-MON-YYYY HH24.MI.SS.FF'),270,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1655,TO_TIMESTAMP('09-FEB-2022 17.25.19.011114896','DD-MON-YYYY HH24.MI.SS.FF'),362,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1656,TO_TIMESTAMP('09-FEB-2022 18.51.12.149140782','DD-MON-YYYY HH24.MI.SS.FF'),170,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1657,TO_TIMESTAMP('09-FEB-2022 20.47.37.176858602','DD-MON-YYYY HH24.MI.SS.FF'),77,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1658,TO_TIMESTAMP('09-FEB-2022 22.56.19.963634230','DD-MON-YYYY HH24.MI.SS.FF'),293,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1659,TO_TIMESTAMP('10-FEB-2022 01.15.53.995472076','DD-MON-YYYY HH24.MI.SS.FF'),18,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1660,TO_TIMESTAMP('10-FEB-2022 04.06.59.533131240','DD-MON-YYYY HH24.MI.SS.FF'),231,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1661,TO_TIMESTAMP('10-FEB-2022 05.53.49.483068119','DD-MON-YYYY HH24.MI.SS.FF'),354,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1662,TO_TIMESTAMP('10-FEB-2022 15.01.58.256454855','DD-MON-YYYY HH24.MI.SS.FF'),75,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1663,TO_TIMESTAMP('11-FEB-2022 03.26.54.103807818','DD-MON-YYYY HH24.MI.SS.FF'),105,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1664,TO_TIMESTAMP('11-FEB-2022 06.58.57.185057274','DD-MON-YYYY HH24.MI.SS.FF'),386,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1665,TO_TIMESTAMP('11-FEB-2022 12.40.18.478949770','DD-MON-YYYY HH24.MI.SS.FF'),94,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1666,TO_TIMESTAMP('11-FEB-2022 16.45.36.021966553','DD-MON-YYYY HH24.MI.SS.FF'),308,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1667,TO_TIMESTAMP('12-FEB-2022 05.16.10.520690763','DD-MON-YYYY HH24.MI.SS.FF'),304,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1668,TO_TIMESTAMP('12-FEB-2022 12.04.12.191553144','DD-MON-YYYY HH24.MI.SS.FF'),390,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1669,TO_TIMESTAMP('12-FEB-2022 14.28.16.434093591','DD-MON-YYYY HH24.MI.SS.FF'),366,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1670,TO_TIMESTAMP('12-FEB-2022 15.42.23.432106191','DD-MON-YYYY HH24.MI.SS.FF'),267,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1671,TO_TIMESTAMP('12-FEB-2022 18.28.45.861962383','DD-MON-YYYY HH24.MI.SS.FF'),179,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1672,TO_TIMESTAMP('12-FEB-2022 18.45.54.645797608','DD-MON-YYYY HH24.MI.SS.FF'),134,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1673,TO_TIMESTAMP('12-FEB-2022 20.17.56.991170478','DD-MON-YYYY HH24.MI.SS.FF'),70,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1674,TO_TIMESTAMP('12-FEB-2022 21.03.08.533120127','DD-MON-YYYY HH24.MI.SS.FF'),287,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1675,TO_TIMESTAMP('13-FEB-2022 01.47.51.628839157','DD-MON-YYYY HH24.MI.SS.FF'),280,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1676,TO_TIMESTAMP('13-FEB-2022 04.29.37.231510715','DD-MON-YYYY HH24.MI.SS.FF'),243,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1677,TO_TIMESTAMP('13-FEB-2022 06.06.24.822082814','DD-MON-YYYY HH24.MI.SS.FF'),330,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1678,TO_TIMESTAMP('13-FEB-2022 07.05.55.668835906','DD-MON-YYYY HH24.MI.SS.FF'),391,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1679,TO_TIMESTAMP('13-FEB-2022 16.58.46.419717855','DD-MON-YYYY HH24.MI.SS.FF'),74,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1680,TO_TIMESTAMP('13-FEB-2022 17.09.17.945048281','DD-MON-YYYY HH24.MI.SS.FF'),244,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1681,TO_TIMESTAMP('14-FEB-2022 02.41.48.417798451','DD-MON-YYYY HH24.MI.SS.FF'),104,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1682,TO_TIMESTAMP('14-FEB-2022 04.52.50.007364108','DD-MON-YYYY HH24.MI.SS.FF'),365,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1683,TO_TIMESTAMP('14-FEB-2022 09.44.52.790819936','DD-MON-YYYY HH24.MI.SS.FF'),179,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1684,TO_TIMESTAMP('14-FEB-2022 09.50.37.830010918','DD-MON-YYYY HH24.MI.SS.FF'),86,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1685,TO_TIMESTAMP('14-FEB-2022 11.23.06.397147358','DD-MON-YYYY HH24.MI.SS.FF'),370,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1686,TO_TIMESTAMP('14-FEB-2022 19.11.16.695790765','DD-MON-YYYY HH24.MI.SS.FF'),244,12,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1687,TO_TIMESTAMP('14-FEB-2022 19.32.37.348131117','DD-MON-YYYY HH24.MI.SS.FF'),351,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1688,TO_TIMESTAMP('15-FEB-2022 00.01.51.895423087','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1689,TO_TIMESTAMP('15-FEB-2022 00.52.47.867932228','DD-MON-YYYY HH24.MI.SS.FF'),149,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1690,TO_TIMESTAMP('15-FEB-2022 01.56.21.183266667','DD-MON-YYYY HH24.MI.SS.FF'),305,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1691,TO_TIMESTAMP('15-FEB-2022 07.45.43.436384818','DD-MON-YYYY HH24.MI.SS.FF'),358,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1692,TO_TIMESTAMP('16-FEB-2022 04.51.59.801488286','DD-MON-YYYY HH24.MI.SS.FF'),71,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1693,TO_TIMESTAMP('16-FEB-2022 08.59.33.773512139','DD-MON-YYYY HH24.MI.SS.FF'),228,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1694,TO_TIMESTAMP('16-FEB-2022 20.16.36.494514714','DD-MON-YYYY HH24.MI.SS.FF'),221,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1695,TO_TIMESTAMP('16-FEB-2022 20.56.42.737806866','DD-MON-YYYY HH24.MI.SS.FF'),106,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1696,TO_TIMESTAMP('16-FEB-2022 22.35.47.794626428','DD-MON-YYYY HH24.MI.SS.FF'),355,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1697,TO_TIMESTAMP('17-FEB-2022 01.52.55.492816918','DD-MON-YYYY HH24.MI.SS.FF'),367,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1698,TO_TIMESTAMP('17-FEB-2022 05.09.56.305442560','DD-MON-YYYY HH24.MI.SS.FF'),244,1,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1699,TO_TIMESTAMP('17-FEB-2022 18.37.31.277528615','DD-MON-YYYY HH24.MI.SS.FF'),45,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1700,TO_TIMESTAMP('18-FEB-2022 07.26.40.102589243','DD-MON-YYYY HH24.MI.SS.FF'),279,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1701,TO_TIMESTAMP('18-FEB-2022 10.22.35.754741957','DD-MON-YYYY HH24.MI.SS.FF'),223,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1702,TO_TIMESTAMP('18-FEB-2022 15.40.41.400022314','DD-MON-YYYY HH24.MI.SS.FF'),177,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1703,TO_TIMESTAMP('18-FEB-2022 18.31.15.416156278','DD-MON-YYYY HH24.MI.SS.FF'),131,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1704,TO_TIMESTAMP('18-FEB-2022 20.45.08.497075802','DD-MON-YYYY HH24.MI.SS.FF'),257,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1705,TO_TIMESTAMP('19-FEB-2022 03.54.22.547150271','DD-MON-YYYY HH24.MI.SS.FF'),140,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1706,TO_TIMESTAMP('19-FEB-2022 04.54.22.143159942','DD-MON-YYYY HH24.MI.SS.FF'),250,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1707,TO_TIMESTAMP('19-FEB-2022 08.59.40.760535591','DD-MON-YYYY HH24.MI.SS.FF'),194,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1708,TO_TIMESTAMP('19-FEB-2022 12.31.34.131369358','DD-MON-YYYY HH24.MI.SS.FF'),321,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1709,TO_TIMESTAMP('19-FEB-2022 13.43.26.706065867','DD-MON-YYYY HH24.MI.SS.FF'),219,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1710,TO_TIMESTAMP('19-FEB-2022 19.09.39.108273177','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1711,TO_TIMESTAMP('19-FEB-2022 22.59.02.938600602','DD-MON-YYYY HH24.MI.SS.FF'),220,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1712,TO_TIMESTAMP('19-FEB-2022 23.07.47.707258735','DD-MON-YYYY HH24.MI.SS.FF'),213,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1713,TO_TIMESTAMP('20-FEB-2022 00.04.52.102983099','DD-MON-YYYY HH24.MI.SS.FF'),304,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1714,TO_TIMESTAMP('20-FEB-2022 01.52.39.302373030','DD-MON-YYYY HH24.MI.SS.FF'),193,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1715,TO_TIMESTAMP('20-FEB-2022 03.29.46.650563158','DD-MON-YYYY HH24.MI.SS.FF'),282,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1716,TO_TIMESTAMP('20-FEB-2022 10.50.39.974392656','DD-MON-YYYY HH24.MI.SS.FF'),336,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1717,TO_TIMESTAMP('20-FEB-2022 16.02.05.809719819','DD-MON-YYYY HH24.MI.SS.FF'),180,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1718,TO_TIMESTAMP('20-FEB-2022 16.19.43.190303736','DD-MON-YYYY HH24.MI.SS.FF'),179,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1719,TO_TIMESTAMP('21-FEB-2022 09.49.46.702907909','DD-MON-YYYY HH24.MI.SS.FF'),362,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1720,TO_TIMESTAMP('21-FEB-2022 15.25.35.538551157','DD-MON-YYYY HH24.MI.SS.FF'),269,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1721,TO_TIMESTAMP('21-FEB-2022 21.06.14.314514188','DD-MON-YYYY HH24.MI.SS.FF'),162,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1722,TO_TIMESTAMP('21-FEB-2022 22.13.15.359311824','DD-MON-YYYY HH24.MI.SS.FF'),338,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1723,TO_TIMESTAMP('22-FEB-2022 02.39.26.423108690','DD-MON-YYYY HH24.MI.SS.FF'),133,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1724,TO_TIMESTAMP('22-FEB-2022 05.59.26.155600730','DD-MON-YYYY HH24.MI.SS.FF'),241,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1725,TO_TIMESTAMP('22-FEB-2022 09.05.07.239334346','DD-MON-YYYY HH24.MI.SS.FF'),251,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1726,TO_TIMESTAMP('22-FEB-2022 09.46.18.378993357','DD-MON-YYYY HH24.MI.SS.FF'),157,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1727,TO_TIMESTAMP('22-FEB-2022 12.12.54.757627357','DD-MON-YYYY HH24.MI.SS.FF'),49,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1728,TO_TIMESTAMP('22-FEB-2022 12.16.46.655187687','DD-MON-YYYY HH24.MI.SS.FF'),238,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1729,TO_TIMESTAMP('23-FEB-2022 00.13.30.251315687','DD-MON-YYYY HH24.MI.SS.FF'),141,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1730,TO_TIMESTAMP('23-FEB-2022 02.34.28.490023086','DD-MON-YYYY HH24.MI.SS.FF'),10,10,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1731,TO_TIMESTAMP('23-FEB-2022 20.53.32.461195354','DD-MON-YYYY HH24.MI.SS.FF'),19,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1732,TO_TIMESTAMP('24-FEB-2022 04.23.06.258784423','DD-MON-YYYY HH24.MI.SS.FF'),380,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1733,TO_TIMESTAMP('24-FEB-2022 14.14.50.722949596','DD-MON-YYYY HH24.MI.SS.FF'),101,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1734,TO_TIMESTAMP('24-FEB-2022 17.17.13.907821634','DD-MON-YYYY HH24.MI.SS.FF'),236,4,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1735,TO_TIMESTAMP('24-FEB-2022 19.16.47.405952621','DD-MON-YYYY HH24.MI.SS.FF'),239,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1736,TO_TIMESTAMP('25-FEB-2022 03.47.12.996504963','DD-MON-YYYY HH24.MI.SS.FF'),239,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1737,TO_TIMESTAMP('25-FEB-2022 04.51.57.912445425','DD-MON-YYYY HH24.MI.SS.FF'),234,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1738,TO_TIMESTAMP('25-FEB-2022 05.18.04.273081658','DD-MON-YYYY HH24.MI.SS.FF'),376,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1739,TO_TIMESTAMP('25-FEB-2022 06.20.32.875439275','DD-MON-YYYY HH24.MI.SS.FF'),340,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1740,TO_TIMESTAMP('25-FEB-2022 07.39.43.509648257','DD-MON-YYYY HH24.MI.SS.FF'),278,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1741,TO_TIMESTAMP('25-FEB-2022 10.30.26.839674621','DD-MON-YYYY HH24.MI.SS.FF'),310,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1742,TO_TIMESTAMP('25-FEB-2022 13.09.13.678602960','DD-MON-YYYY HH24.MI.SS.FF'),142,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1743,TO_TIMESTAMP('26-FEB-2022 04.57.41.905355705','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1744,TO_TIMESTAMP('26-FEB-2022 05.05.37.459393315','DD-MON-YYYY HH24.MI.SS.FF'),48,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1745,TO_TIMESTAMP('26-FEB-2022 17.59.02.818151244','DD-MON-YYYY HH24.MI.SS.FF'),346,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1746,TO_TIMESTAMP('26-FEB-2022 19.51.08.065203361','DD-MON-YYYY HH24.MI.SS.FF'),222,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1747,TO_TIMESTAMP('26-FEB-2022 22.27.58.344974065','DD-MON-YYYY HH24.MI.SS.FF'),250,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1748,TO_TIMESTAMP('27-FEB-2022 00.15.11.275149958','DD-MON-YYYY HH24.MI.SS.FF'),176,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1749,TO_TIMESTAMP('27-FEB-2022 04.41.18.382887284','DD-MON-YYYY HH24.MI.SS.FF'),223,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1750,TO_TIMESTAMP('27-FEB-2022 05.35.03.207406730','DD-MON-YYYY HH24.MI.SS.FF'),307,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1751,TO_TIMESTAMP('27-FEB-2022 08.38.41.219916012','DD-MON-YYYY HH24.MI.SS.FF'),308,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1752,TO_TIMESTAMP('27-FEB-2022 08.49.22.987498859','DD-MON-YYYY HH24.MI.SS.FF'),194,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1753,TO_TIMESTAMP('27-FEB-2022 12.52.39.253623106','DD-MON-YYYY HH24.MI.SS.FF'),254,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1754,TO_TIMESTAMP('27-FEB-2022 20.33.14.405775054','DD-MON-YYYY HH24.MI.SS.FF'),195,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1755,TO_TIMESTAMP('28-FEB-2022 01.40.51.036286580','DD-MON-YYYY HH24.MI.SS.FF'),259,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1756,TO_TIMESTAMP('28-FEB-2022 04.08.00.296455223','DD-MON-YYYY HH24.MI.SS.FF'),79,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1757,TO_TIMESTAMP('28-FEB-2022 04.28.49.069225822','DD-MON-YYYY HH24.MI.SS.FF'),132,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1758,TO_TIMESTAMP('28-FEB-2022 04.33.57.273574249','DD-MON-YYYY HH24.MI.SS.FF'),362,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1759,TO_TIMESTAMP('28-FEB-2022 16.19.29.908023827','DD-MON-YYYY HH24.MI.SS.FF'),108,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1760,TO_TIMESTAMP('28-FEB-2022 19.51.10.834453249','DD-MON-YYYY HH24.MI.SS.FF'),78,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1761,TO_TIMESTAMP('28-FEB-2022 22.14.29.148326839','DD-MON-YYYY HH24.MI.SS.FF'),159,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1762,TO_TIMESTAMP('01-MAR-2022 04.04.31.061014287','DD-MON-YYYY HH24.MI.SS.FF'),278,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1763,TO_TIMESTAMP('01-MAR-2022 06.35.42.366733548','DD-MON-YYYY HH24.MI.SS.FF'),267,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1764,TO_TIMESTAMP('01-MAR-2022 08.47.30.382309577','DD-MON-YYYY HH24.MI.SS.FF'),317,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1765,TO_TIMESTAMP('01-MAR-2022 16.04.21.806137740','DD-MON-YYYY HH24.MI.SS.FF'),160,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1766,TO_TIMESTAMP('01-MAR-2022 16.33.31.990534340','DD-MON-YYYY HH24.MI.SS.FF'),280,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1767,TO_TIMESTAMP('01-MAR-2022 20.33.34.836407975','DD-MON-YYYY HH24.MI.SS.FF'),164,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1768,TO_TIMESTAMP('02-MAR-2022 04.28.37.995437284','DD-MON-YYYY HH24.MI.SS.FF'),368,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1769,TO_TIMESTAMP('02-MAR-2022 05.05.14.839703356','DD-MON-YYYY HH24.MI.SS.FF'),308,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1770,TO_TIMESTAMP('02-MAR-2022 06.58.09.917258433','DD-MON-YYYY HH24.MI.SS.FF'),340,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1771,TO_TIMESTAMP('02-MAR-2022 22.41.49.560923955','DD-MON-YYYY HH24.MI.SS.FF'),364,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1772,TO_TIMESTAMP('03-MAR-2022 09.15.47.418669960','DD-MON-YYYY HH24.MI.SS.FF'),341,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1773,TO_TIMESTAMP('03-MAR-2022 12.23.44.550528646','DD-MON-YYYY HH24.MI.SS.FF'),281,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1774,TO_TIMESTAMP('03-MAR-2022 15.23.58.258038485','DD-MON-YYYY HH24.MI.SS.FF'),281,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1775,TO_TIMESTAMP('03-MAR-2022 18.44.22.601071756','DD-MON-YYYY HH24.MI.SS.FF'),21,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1776,TO_TIMESTAMP('03-MAR-2022 23.01.32.876901897','DD-MON-YYYY HH24.MI.SS.FF'),20,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1777,TO_TIMESTAMP('04-MAR-2022 00.36.26.652238722','DD-MON-YYYY HH24.MI.SS.FF'),271,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1778,TO_TIMESTAMP('04-MAR-2022 01.32.13.955762082','DD-MON-YYYY HH24.MI.SS.FF'),286,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1779,TO_TIMESTAMP('04-MAR-2022 02.49.36.304621688','DD-MON-YYYY HH24.MI.SS.FF'),246,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1780,TO_TIMESTAMP('04-MAR-2022 06.29.25.910247556','DD-MON-YYYY HH24.MI.SS.FF'),272,11,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1781,TO_TIMESTAMP('04-MAR-2022 06.52.24.646924050','DD-MON-YYYY HH24.MI.SS.FF'),248,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1782,TO_TIMESTAMP('04-MAR-2022 07.25.26.062677430','DD-MON-YYYY HH24.MI.SS.FF'),300,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1783,TO_TIMESTAMP('04-MAR-2022 12.32.14.470018995','DD-MON-YYYY HH24.MI.SS.FF'),386,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1784,TO_TIMESTAMP('04-MAR-2022 17.36.39.891421362','DD-MON-YYYY HH24.MI.SS.FF'),108,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1785,TO_TIMESTAMP('05-MAR-2022 01.44.18.946785029','DD-MON-YYYY HH24.MI.SS.FF'),284,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1786,TO_TIMESTAMP('05-MAR-2022 09.11.58.230032771','DD-MON-YYYY HH24.MI.SS.FF'),137,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1787,TO_TIMESTAMP('05-MAR-2022 14.20.39.440796516','DD-MON-YYYY HH24.MI.SS.FF'),311,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1788,TO_TIMESTAMP('05-MAR-2022 22.50.00.261525121','DD-MON-YYYY HH24.MI.SS.FF'),278,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1789,TO_TIMESTAMP('06-MAR-2022 10.19.31.390985854','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1790,TO_TIMESTAMP('06-MAR-2022 12.36.19.692531878','DD-MON-YYYY HH24.MI.SS.FF'),77,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1791,TO_TIMESTAMP('06-MAR-2022 13.45.58.672578862','DD-MON-YYYY HH24.MI.SS.FF'),332,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1792,TO_TIMESTAMP('06-MAR-2022 19.39.34.415579136','DD-MON-YYYY HH24.MI.SS.FF'),251,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1793,TO_TIMESTAMP('06-MAR-2022 23.17.49.990617387','DD-MON-YYYY HH24.MI.SS.FF'),158,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1794,TO_TIMESTAMP('07-MAR-2022 02.59.15.029146828','DD-MON-YYYY HH24.MI.SS.FF'),237,5,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1795,TO_TIMESTAMP('07-MAR-2022 05.43.17.990211350','DD-MON-YYYY HH24.MI.SS.FF'),240,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1796,TO_TIMESTAMP('07-MAR-2022 18.11.57.595423519','DD-MON-YYYY HH24.MI.SS.FF'),344,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1797,TO_TIMESTAMP('07-MAR-2022 19.53.51.879138375','DD-MON-YYYY HH24.MI.SS.FF'),339,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1798,TO_TIMESTAMP('07-MAR-2022 23.24.10.622223345','DD-MON-YYYY HH24.MI.SS.FF'),166,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1799,TO_TIMESTAMP('07-MAR-2022 23.46.36.717349664','DD-MON-YYYY HH24.MI.SS.FF'),308,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1800,TO_TIMESTAMP('08-MAR-2022 01.55.29.518820600','DD-MON-YYYY HH24.MI.SS.FF'),283,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1801,TO_TIMESTAMP('08-MAR-2022 17.20.57.160144329','DD-MON-YYYY HH24.MI.SS.FF'),335,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1802,TO_TIMESTAMP('08-MAR-2022 19.28.30.299395607','DD-MON-YYYY HH24.MI.SS.FF'),283,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1803,TO_TIMESTAMP('08-MAR-2022 22.15.57.540920684','DD-MON-YYYY HH24.MI.SS.FF'),363,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1804,TO_TIMESTAMP('09-MAR-2022 01.22.06.829005789','DD-MON-YYYY HH24.MI.SS.FF'),256,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1805,TO_TIMESTAMP('09-MAR-2022 03.31.01.637221922','DD-MON-YYYY HH24.MI.SS.FF'),277,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1806,TO_TIMESTAMP('09-MAR-2022 08.31.13.005280150','DD-MON-YYYY HH24.MI.SS.FF'),242,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1807,TO_TIMESTAMP('09-MAR-2022 09.16.47.441189155','DD-MON-YYYY HH24.MI.SS.FF'),21,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1808,TO_TIMESTAMP('09-MAR-2022 10.33.24.254669999','DD-MON-YYYY HH24.MI.SS.FF'),20,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1809,TO_TIMESTAMP('09-MAR-2022 12.45.07.524410154','DD-MON-YYYY HH24.MI.SS.FF'),195,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1810,TO_TIMESTAMP('09-MAR-2022 15.23.41.004131158','DD-MON-YYYY HH24.MI.SS.FF'),386,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1811,TO_TIMESTAMP('09-MAR-2022 17.31.53.231172057','DD-MON-YYYY HH24.MI.SS.FF'),159,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1812,TO_TIMESTAMP('09-MAR-2022 23.33.44.560390019','DD-MON-YYYY HH24.MI.SS.FF'),365,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1813,TO_TIMESTAMP('10-MAR-2022 06.10.18.680678130','DD-MON-YYYY HH24.MI.SS.FF'),191,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1814,TO_TIMESTAMP('10-MAR-2022 09.21.02.444428484','DD-MON-YYYY HH24.MI.SS.FF'),359,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1815,TO_TIMESTAMP('10-MAR-2022 09.42.56.604224461','DD-MON-YYYY HH24.MI.SS.FF'),79,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1816,TO_TIMESTAMP('10-MAR-2022 13.56.47.140303511','DD-MON-YYYY HH24.MI.SS.FF'),109,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1817,TO_TIMESTAMP('10-MAR-2022 21.54.25.125749511','DD-MON-YYYY HH24.MI.SS.FF'),8,8,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1818,TO_TIMESTAMP('11-MAR-2022 03.29.28.501365558','DD-MON-YYYY HH24.MI.SS.FF'),340,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1819,TO_TIMESTAMP('11-MAR-2022 07.20.17.942291075','DD-MON-YYYY HH24.MI.SS.FF'),22,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1820,TO_TIMESTAMP('12-MAR-2022 03.34.51.627969971','DD-MON-YYYY HH24.MI.SS.FF'),49,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1821,TO_TIMESTAMP('12-MAR-2022 05.09.38.031580469','DD-MON-YYYY HH24.MI.SS.FF'),135,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1822,TO_TIMESTAMP('12-MAR-2022 12.49.36.705140459','DD-MON-YYYY HH24.MI.SS.FF'),51,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1823,TO_TIMESTAMP('12-MAR-2022 23.20.21.120027383','DD-MON-YYYY HH24.MI.SS.FF'),296,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1824,TO_TIMESTAMP('12-MAR-2022 23.56.53.384121757','DD-MON-YYYY HH24.MI.SS.FF'),21,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1825,TO_TIMESTAMP('13-MAR-2022 02.19.24.671941944','DD-MON-YYYY HH24.MI.SS.FF'),219,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1826,TO_TIMESTAMP('13-MAR-2022 08.53.00.576395353','DD-MON-YYYY HH24.MI.SS.FF'),223,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1827,TO_TIMESTAMP('13-MAR-2022 11.56.16.502100638','DD-MON-YYYY HH24.MI.SS.FF'),310,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1828,TO_TIMESTAMP('13-MAR-2022 16.10.34.107048306','DD-MON-YYYY HH24.MI.SS.FF'),107,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1829,TO_TIMESTAMP('14-MAR-2022 00.33.04.571752469','DD-MON-YYYY HH24.MI.SS.FF'),77,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1830,TO_TIMESTAMP('14-MAR-2022 02.07.24.615426305','DD-MON-YYYY HH24.MI.SS.FF'),50,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1831,TO_TIMESTAMP('14-MAR-2022 08.32.36.013193169','DD-MON-YYYY HH24.MI.SS.FF'),187,13,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1832,TO_TIMESTAMP('14-MAR-2022 14.31.02.679131558','DD-MON-YYYY HH24.MI.SS.FF'),277,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1833,TO_TIMESTAMP('14-MAR-2022 20.22.23.635591322','DD-MON-YYYY HH24.MI.SS.FF'),340,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1834,TO_TIMESTAMP('14-MAR-2022 21.09.45.994744070','DD-MON-YYYY HH24.MI.SS.FF'),278,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1835,TO_TIMESTAMP('15-MAR-2022 00.35.19.542550090','DD-MON-YYYY HH24.MI.SS.FF'),51,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1836,TO_TIMESTAMP('15-MAR-2022 01.56.03.346025738','DD-MON-YYYY HH24.MI.SS.FF'),267,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1837,TO_TIMESTAMP('15-MAR-2022 02.59.52.218116456','DD-MON-YYYY HH24.MI.SS.FF'),282,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1838,TO_TIMESTAMP('15-MAR-2022 03.50.48.032274267','DD-MON-YYYY HH24.MI.SS.FF'),49,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1839,TO_TIMESTAMP('15-MAR-2022 09.28.08.961710620','DD-MON-YYYY HH24.MI.SS.FF'),353,1,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1840,TO_TIMESTAMP('15-MAR-2022 18.28.42.915252507','DD-MON-YYYY HH24.MI.SS.FF'),138,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1841,TO_TIMESTAMP('15-MAR-2022 21.34.58.163283668','DD-MON-YYYY HH24.MI.SS.FF'),80,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1842,TO_TIMESTAMP('16-MAR-2022 00.53.38.171932841','DD-MON-YYYY HH24.MI.SS.FF'),183,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1843,TO_TIMESTAMP('16-MAR-2022 04.25.16.124107709','DD-MON-YYYY HH24.MI.SS.FF'),338,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1844,TO_TIMESTAMP('16-MAR-2022 07.20.45.523687234','DD-MON-YYYY HH24.MI.SS.FF'),310,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1845,TO_TIMESTAMP('16-MAR-2022 23.13.25.255852323','DD-MON-YYYY HH24.MI.SS.FF'),194,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1846,TO_TIMESTAMP('16-MAR-2022 23.23.27.800965994','DD-MON-YYYY HH24.MI.SS.FF'),258,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1847,TO_TIMESTAMP('17-MAR-2022 00.46.32.285709160','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1848,TO_TIMESTAMP('17-MAR-2022 06.33.56.523111517','DD-MON-YYYY HH24.MI.SS.FF'),125,9,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1849,TO_TIMESTAMP('17-MAR-2022 08.32.08.604116053','DD-MON-YYYY HH24.MI.SS.FF'),209,6,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1850,TO_TIMESTAMP('17-MAR-2022 11.27.30.771408788','DD-MON-YYYY HH24.MI.SS.FF'),369,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1851,TO_TIMESTAMP('17-MAR-2022 15.55.32.802570157','DD-MON-YYYY HH24.MI.SS.FF'),340,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1852,TO_TIMESTAMP('17-MAR-2022 19.22.32.493839516','DD-MON-YYYY HH24.MI.SS.FF'),326,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1853,TO_TIMESTAMP('17-MAR-2022 23.26.43.333352591','DD-MON-YYYY HH24.MI.SS.FF'),77,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1854,TO_TIMESTAMP('18-MAR-2022 01.24.20.184511396','DD-MON-YYYY HH24.MI.SS.FF'),277,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1855,TO_TIMESTAMP('18-MAR-2022 06.50.34.800956863','DD-MON-YYYY HH24.MI.SS.FF'),391,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1856,TO_TIMESTAMP('18-MAR-2022 19.57.10.039740865','DD-MON-YYYY HH24.MI.SS.FF'),357,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1857,TO_TIMESTAMP('18-MAR-2022 21.02.38.459795535','DD-MON-YYYY HH24.MI.SS.FF'),309,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1858,TO_TIMESTAMP('19-MAR-2022 00.17.30.802909886','DD-MON-YYYY HH24.MI.SS.FF'),165,20,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1859,TO_TIMESTAMP('19-MAR-2022 04.14.48.592142491','DD-MON-YYYY HH24.MI.SS.FF'),336,17,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1860,TO_TIMESTAMP('19-MAR-2022 06.19.55.352793357','DD-MON-YYYY HH24.MI.SS.FF'),281,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1861,TO_TIMESTAMP('19-MAR-2022 15.59.09.690112728','DD-MON-YYYY HH24.MI.SS.FF'),292,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1862,TO_TIMESTAMP('19-MAR-2022 18.25.09.902004596','DD-MON-YYYY HH24.MI.SS.FF'),365,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1863,TO_TIMESTAMP('19-MAR-2022 21.11.45.776858572','DD-MON-YYYY HH24.MI.SS.FF'),253,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1864,TO_TIMESTAMP('20-MAR-2022 00.09.41.191226923','DD-MON-YYYY HH24.MI.SS.FF'),375,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1865,TO_TIMESTAMP('20-MAR-2022 01.43.00.637850034','DD-MON-YYYY HH24.MI.SS.FF'),224,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1866,TO_TIMESTAMP('20-MAR-2022 19.13.19.500719461','DD-MON-YYYY HH24.MI.SS.FF'),51,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1867,TO_TIMESTAMP('20-MAR-2022 20.15.53.555876651','DD-MON-YYYY HH24.MI.SS.FF'),266,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1868,TO_TIMESTAMP('21-MAR-2022 07.21.49.590478537','DD-MON-YYYY HH24.MI.SS.FF'),252,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1869,TO_TIMESTAMP('21-MAR-2022 11.03.22.167940537','DD-MON-YYYY HH24.MI.SS.FF'),279,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1870,TO_TIMESTAMP('21-MAR-2022 15.07.31.851060370','DD-MON-YYYY HH24.MI.SS.FF'),318,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1871,TO_TIMESTAMP('21-MAR-2022 19.50.08.213949629','DD-MON-YYYY HH24.MI.SS.FF'),161,16,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1872,TO_TIMESTAMP('21-MAR-2022 23.09.23.940955366','DD-MON-YYYY HH24.MI.SS.FF'),166,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1873,TO_TIMESTAMP('22-MAR-2022 02.35.48.305224590','DD-MON-YYYY HH24.MI.SS.FF'),58,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1874,TO_TIMESTAMP('22-MAR-2022 08.19.52.101335419','DD-MON-YYYY HH24.MI.SS.FF'),106,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1875,TO_TIMESTAMP('22-MAR-2022 15.00.45.932301558','DD-MON-YYYY HH24.MI.SS.FF'),167,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1876,TO_TIMESTAMP('23-MAR-2022 10.04.01.692610207','DD-MON-YYYY HH24.MI.SS.FF'),334,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1877,TO_TIMESTAMP('23-MAR-2022 19.00.10.427019142','DD-MON-YYYY HH24.MI.SS.FF'),351,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1878,TO_TIMESTAMP('23-MAR-2022 23.04.14.280161728','DD-MON-YYYY HH24.MI.SS.FF'),366,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1879,TO_TIMESTAMP('24-MAR-2022 06.25.17.851264679','DD-MON-YYYY HH24.MI.SS.FF'),116,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1880,TO_TIMESTAMP('24-MAR-2022 07.07.34.982856991','DD-MON-YYYY HH24.MI.SS.FF'),29,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1881,TO_TIMESTAMP('24-MAR-2022 11.48.41.624381959','DD-MON-YYYY HH24.MI.SS.FF'),276,15,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1882,TO_TIMESTAMP('24-MAR-2022 14.39.17.373454808','DD-MON-YYYY HH24.MI.SS.FF'),79,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1883,TO_TIMESTAMP('24-MAR-2022 17.06.14.312057143','DD-MON-YYYY HH24.MI.SS.FF'),371,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1884,TO_TIMESTAMP('25-MAR-2022 01.53.34.352284272','DD-MON-YYYY HH24.MI.SS.FF'),254,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1885,TO_TIMESTAMP('25-MAR-2022 02.52.16.631428373','DD-MON-YYYY HH24.MI.SS.FF'),166,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1886,TO_TIMESTAMP('25-MAR-2022 06.39.41.463925845','DD-MON-YYYY HH24.MI.SS.FF'),203,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1887,TO_TIMESTAMP('25-MAR-2022 07.17.03.126552196','DD-MON-YYYY HH24.MI.SS.FF'),29,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1888,TO_TIMESTAMP('25-MAR-2022 10.02.48.828209040','DD-MON-YYYY HH24.MI.SS.FF'),138,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1889,TO_TIMESTAMP('25-MAR-2022 12.24.19.099743221','DD-MON-YYYY HH24.MI.SS.FF'),167,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1890,TO_TIMESTAMP('25-MAR-2022 23.31.58.636925632','DD-MON-YYYY HH24.MI.SS.FF'),7,7,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1891,TO_TIMESTAMP('26-MAR-2022 19.49.32.965311458','DD-MON-YYYY HH24.MI.SS.FF'),58,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1892,TO_TIMESTAMP('26-MAR-2022 21.14.20.743019299','DD-MON-YYYY HH24.MI.SS.FF'),80,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1893,TO_TIMESTAMP('27-MAR-2022 04.31.10.928964948','DD-MON-YYYY HH24.MI.SS.FF'),225,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1894,TO_TIMESTAMP('27-MAR-2022 13.26.24.824032778','DD-MON-YYYY HH24.MI.SS.FF'),332,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1895,TO_TIMESTAMP('27-MAR-2022 21.29.34.311413185','DD-MON-YYYY HH24.MI.SS.FF'),29,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1896,TO_TIMESTAMP('27-MAR-2022 22.05.21.921377290','DD-MON-YYYY HH24.MI.SS.FF'),333,14,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1897,TO_TIMESTAMP('27-MAR-2022 23.34.52.902796926','DD-MON-YYYY HH24.MI.SS.FF'),87,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1898,TO_TIMESTAMP('28-MAR-2022 00.50.41.782414989','DD-MON-YYYY HH24.MI.SS.FF'),368,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1899,TO_TIMESTAMP('28-MAR-2022 01.34.42.169218562','DD-MON-YYYY HH24.MI.SS.FF'),341,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1900,TO_TIMESTAMP('28-MAR-2022 10.04.59.865349726','DD-MON-YYYY HH24.MI.SS.FF'),339,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1901,TO_TIMESTAMP('28-MAR-2022 19.19.17.452939661','DD-MON-YYYY HH24.MI.SS.FF'),61,3,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1902,TO_TIMESTAMP('28-MAR-2022 22.30.29.485552805','DD-MON-YYYY HH24.MI.SS.FF'),232,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1903,TO_TIMESTAMP('28-MAR-2022 23.33.11.038702139','DD-MON-YYYY HH24.MI.SS.FF'),164,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1904,TO_TIMESTAMP('29-MAR-2022 01.41.33.203402179','DD-MON-YYYY HH24.MI.SS.FF'),224,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1905,TO_TIMESTAMP('29-MAR-2022 02.31.44.813863286','DD-MON-YYYY HH24.MI.SS.FF'),347,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1906,TO_TIMESTAMP('29-MAR-2022 11.32.51.439904918','DD-MON-YYYY HH24.MI.SS.FF'),309,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1907,TO_TIMESTAMP('29-MAR-2022 18.01.16.508489896','DD-MON-YYYY HH24.MI.SS.FF'),312,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1908,TO_TIMESTAMP('29-MAR-2022 18.46.08.118386552','DD-MON-YYYY HH24.MI.SS.FF'),224,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1909,TO_TIMESTAMP('29-MAR-2022 21.43.10.469551939','DD-MON-YYYY HH24.MI.SS.FF'),345,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1910,TO_TIMESTAMP('30-MAR-2022 01.37.15.392243284','DD-MON-YYYY HH24.MI.SS.FF'),109,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1911,TO_TIMESTAMP('30-MAR-2022 09.18.13.207605268','DD-MON-YYYY HH24.MI.SS.FF'),311,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1912,TO_TIMESTAMP('30-MAR-2022 11.05.48.922577223','DD-MON-YYYY HH24.MI.SS.FF'),195,21,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1913,TO_TIMESTAMP('31-MAR-2022 06.07.36.488544879','DD-MON-YYYY HH24.MI.SS.FF'),283,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1914,TO_TIMESTAMP('31-MAR-2022 18.29.01.038320559','DD-MON-YYYY HH24.MI.SS.FF'),58,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1915,TO_TIMESTAMP('31-MAR-2022 20.48.11.088428699','DD-MON-YYYY HH24.MI.SS.FF'),261,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1916,TO_TIMESTAMP('01-APR-2022 05.27.32.922331701','DD-MON-YYYY HH24.MI.SS.FF'),87,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1917,TO_TIMESTAMP('01-APR-2022 11.16.45.297957963','DD-MON-YYYY HH24.MI.SS.FF'),225,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1918,TO_TIMESTAMP('01-APR-2022 13.37.14.376156944','DD-MON-YYYY HH24.MI.SS.FF'),254,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1919,TO_TIMESTAMP('01-APR-2022 14.03.52.732709340','DD-MON-YYYY HH24.MI.SS.FF'),145,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1920,TO_TIMESTAMP('01-APR-2022 15.19.17.592316877','DD-MON-YYYY HH24.MI.SS.FF'),145,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1921,TO_TIMESTAMP('02-APR-2022 01.48.41.157804596','DD-MON-YYYY HH24.MI.SS.FF'),261,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1922,TO_TIMESTAMP('02-APR-2022 15.52.49.213390389','DD-MON-YYYY HH24.MI.SS.FF'),339,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1923,TO_TIMESTAMP('03-APR-2022 10.47.49.417718970','DD-MON-YYYY HH24.MI.SS.FF'),354,1,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1924,TO_TIMESTAMP('03-APR-2022 13.40.01.840676375','DD-MON-YYYY HH24.MI.SS.FF'),232,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1925,TO_TIMESTAMP('03-APR-2022 14.02.33.418296148','DD-MON-YYYY HH24.MI.SS.FF'),87,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1926,TO_TIMESTAMP('03-APR-2022 19.05.04.600442191','DD-MON-YYYY HH24.MI.SS.FF'),366,18,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1927,TO_TIMESTAMP('04-APR-2022 00.53.58.792754090','DD-MON-YYYY HH24.MI.SS.FF'),196,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1928,TO_TIMESTAMP('04-APR-2022 15.24.06.034344241','DD-MON-YYYY HH24.MI.SS.FF'),367,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1929,TO_TIMESTAMP('04-APR-2022 20.14.44.084942410','DD-MON-YYYY HH24.MI.SS.FF'),165,20,'REFUNDED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1930,TO_TIMESTAMP('04-APR-2022 20.24.44.505644998','DD-MON-YYYY HH24.MI.SS.FF'),338,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1931,TO_TIMESTAMP('05-APR-2022 00.26.49.495590435','DD-MON-YYYY HH24.MI.SS.FF'),136,20,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1932,TO_TIMESTAMP('05-APR-2022 08.43.51.766134507','DD-MON-YYYY HH24.MI.SS.FF'),319,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1933,TO_TIMESTAMP('05-APR-2022 20.57.16.206628031','DD-MON-YYYY HH24.MI.SS.FF'),254,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1934,TO_TIMESTAMP('06-APR-2022 00.19.35.005649450','DD-MON-YYYY HH24.MI.SS.FF'),370,22,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1935,TO_TIMESTAMP('06-APR-2022 04.30.16.153050742','DD-MON-YYYY HH24.MI.SS.FF'),370,22,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1936,TO_TIMESTAMP('06-APR-2022 15.32.41.785093201','DD-MON-YYYY HH24.MI.SS.FF'),312,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1937,TO_TIMESTAMP('07-APR-2022 06.54.49.039864276','DD-MON-YYYY HH24.MI.SS.FF'),312,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1938,TO_TIMESTAMP('07-APR-2022 18.31.50.146426149','DD-MON-YYYY HH24.MI.SS.FF'),370,22,'CANCELLED');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1939,TO_TIMESTAMP('08-APR-2022 06.54.19.862382878','DD-MON-YYYY HH24.MI.SS.FF'),174,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1940,TO_TIMESTAMP('08-APR-2022 08.57.49.237652912','DD-MON-YYYY HH24.MI.SS.FF'),203,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1941,TO_TIMESTAMP('08-APR-2022 23.16.55.199255426','DD-MON-YYYY HH24.MI.SS.FF'),290,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1942,TO_TIMESTAMP('10-APR-2022 03.36.17.661842052','DD-MON-YYYY HH24.MI.SS.FF'),203,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1943,TO_TIMESTAMP('10-APR-2022 08.14.01.961369027','DD-MON-YYYY HH24.MI.SS.FF'),377,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1944,TO_TIMESTAMP('10-APR-2022 10.14.27.406048101','DD-MON-YYYY HH24.MI.SS.FF'),367,19,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1945,TO_TIMESTAMP('10-APR-2022 15.49.31.059138000','DD-MON-YYYY HH24.MI.SS.FF'),341,22,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1946,TO_TIMESTAMP('10-APR-2022 18.22.55.181577156','DD-MON-YYYY HH24.MI.SS.FF'),348,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1947,TO_TIMESTAMP('11-APR-2022 03.49.08.760887009','DD-MON-YYYY HH24.MI.SS.FF'),377,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1948,TO_TIMESTAMP('11-APR-2022 03.49.45.728114684','DD-MON-YYYY HH24.MI.SS.FF'),319,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1949,TO_TIMESTAMP('11-APR-2022 19.14.31.588169133','DD-MON-YYYY HH24.MI.SS.FF'),348,23,'COMPLETE');
+ INSERT INTO orders (order_id,order_tms,customer_id,store_id,order_status) VALUES (1950,TO_TIMESTAMP('12-APR-2022 21.41.06.642640525','DD-MON-YYYY HH24.MI.SS.FF'),348,23,'COMPLETE');
+END;
+/
+
+REM *************************** insert data into the SHIPMENTS table
+
+Prompt ****** Populating SHIPMENTS table ....
+
+BEGIN
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2,1,18,'Marlborough, MA 01752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (3,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (4,1,2,'Spencer, MA 01562 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (5,1,2,'Spencer, MA 01562 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (6,1,74,'Dryden, NY 13053 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (7,1,9,'Devens, MA 01434 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (8,1,109,'New Park, PA 17352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (9,1,109,'New Park, PA 17352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (10,1,109,'New Park, PA 17352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (11,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (12,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (13,1,106,'Felton, PA 17322 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (14,1,106,'Felton, PA 17322 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (15,1,68,'Keeseville, NY 12944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (16,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (17,1,99,'Centerville, PA 16404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (18,1,101,'Towanda, PA 18848 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (19,1,119,'Shippensburg, PA 17257 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (20,1,119,'Shippensburg, PA 17257 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (21,1,119,'Shippensburg, PA 17257 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (22,1,119,'Shippensburg, PA 17257 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (23,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (25,1,39,'Brookton, ME 04413 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (26,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (27,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (28,1,144,'Fort Lauderdale, FL 33332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (29,1,144,'Fort Lauderdale, FL 33332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (30,1,80,'Pittsburgh, PA 15203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (31,1,80,'Pittsburgh, PA 15203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (32,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (33,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (34,1,81,'Brooktondale, NY 14817 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (35,1,81,'Brooktondale, NY 14817 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (36,1,42,'Florida, NY 10921 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (37,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (38,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (39,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (40,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (41,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (42,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (43,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (44,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (45,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (46,1,122,'Hampton, SC 29924 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (47,1,122,'Hampton, SC 29924 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (48,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (49,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (50,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (51,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (52,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (53,1,217,'Sheldon, MO 64784 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (54,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (55,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (56,1,131,'Cumming, GA 30041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (57,1,131,'Cumming, GA 30041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (58,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (59,1,194,'Philpot, KY 42366 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (60,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (61,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (62,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (63,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (64,1,121,'Tower City, PA 17980 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (66,1,162,'Uvalda, GA 30473 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (67,1,81,'Brooktondale, NY 14817 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (68,1,73,'Salt Point, NY 12578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (69,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (70,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (71,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (72,1,121,'Tower City, PA 17980 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (73,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (74,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (75,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (76,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (77,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (78,1,224,'Northfield, OH 44067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (79,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (80,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (81,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (82,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (83,1,84,'Hague, NY 12836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (84,1,168,'Hazelwood, MO 63042 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (85,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (86,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (87,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (88,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (89,1,23,'Shapleigh, ME 04076 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (90,1,23,'Shapleigh, ME 04076 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (91,1,162,'Uvalda, GA 30473 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (92,1,200,'Vicksburg, MS 39183 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (94,1,200,'Vicksburg, MS 39183 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (95,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (96,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (97,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (98,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (99,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (100,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (101,1,60,'Accord, NY 12404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (102,1,60,'Accord, NY 12404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (103,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (104,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (105,1,86,'Anita, PA 15711 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (106,1,86,'Anita, PA 15711 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (107,1,155,'Lewes, DE 19958 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (108,1,96,'Factoryville, PA 18419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (109,1,247,'Cerro Gordo, IL 61818 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (110,1,80,'Pittsburgh, PA 15203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (111,1,80,'Pittsburgh, PA 15203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (112,1,258,'Mc Lain, MS 39456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (113,1,258,'Mc Lain, MS 39456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (114,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (115,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (116,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (117,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (118,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (119,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (120,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (121,1,20,'Fairfield, VT 05455 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (122,1,20,'Fairfield, VT 05455 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (123,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (124,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (125,1,44,'Belle Mead, NJ 08502 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (126,1,195,'Berkley, MI 48072 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (127,1,195,'Berkley, MI 48072 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (128,1,13,'Gloucester, MA 01930 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (130,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (131,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (132,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (133,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (134,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (135,1,151,'Penn Laird, VA 22846 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (136,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (137,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (138,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (139,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (140,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (141,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (142,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (143,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (144,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (145,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (146,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (147,1,322,'Church View, VA 23032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (148,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (149,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (150,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (151,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (153,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (154,1,338,'Falls Church, VA 22043 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (155,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (156,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (157,1,94,'Dalmatia, PA 17017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (158,1,94,'Dalmatia, PA 17017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (159,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (160,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (161,1,319,'Rockville, IN 47872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (163,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (164,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (165,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (166,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (167,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (168,1,149,'Wildwood, FL 34785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (169,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (170,1,373,'Isabella, OK 73747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (171,1,335,'Scranton, PA 18510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (172,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (173,1,176,'Inverness, MS 38753 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (174,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (175,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (176,1,278,'Oolitic, IN 47451 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (178,1,76,'Honeoye, NY 14471 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (179,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (180,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (182,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (184,1,106,'Felton, PA 17322 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (185,1,106,'Felton, PA 17322 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (186,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (187,1,12,'West Kingston, RI 02892 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (188,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (189,1,216,'Cincinnati, OH 45255 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (190,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (191,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (192,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (193,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (194,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (195,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (197,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (198,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (199,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (200,1,345,'Loudonville, OH 44842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (201,1,345,'Loudonville, OH 44842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (202,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (203,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (204,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (205,1,276,'Chattanooga, TN 37419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (206,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (208,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (209,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (210,1,254,'Granite City, IL 62040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (211,1,254,'Granite City, IL 62040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (212,1,162,'Uvalda, GA 30473 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (213,1,123,'Hilton Head Island, SC 29928 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (214,1,123,'Hilton Head Island, SC 29928 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (215,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (216,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (217,1,348,'Afton, IA 50830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (218,1,348,'Afton, IA 50830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (219,1,124,'Decatur, GA 30032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (220,1,124,'Decatur, GA 30032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (221,1,254,'Granite City, IL 62040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (222,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (223,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (224,1,246,'Spring Valley, WI 54767 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (225,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (226,1,189,'Dayton, KY 41074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (227,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (228,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (229,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (230,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (231,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (232,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (233,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (234,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (235,1,160,'Carrollton, GA 30118 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (236,1,90,'Adamsburg, PA 15611 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (237,1,90,'Adamsburg, PA 15611 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (238,1,245,'Skipperville, AL 36374 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (239,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (240,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (241,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (242,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (243,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (244,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (245,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (246,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (247,1,156,'Saint Petersburg, FL 33713 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (248,1,241,'Amanda, OH 43102 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (249,1,241,'Amanda, OH 43102 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (250,1,69,'Syracuse, NY 13203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (251,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (252,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (253,1,117,'Montoursville, PA 17754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (254,1,117,'Montoursville, PA 17754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (255,1,117,'Montoursville, PA 17754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (256,1,180,'Blue Springs, MS 38828 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (257,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (258,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (259,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (260,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (261,1,70,'Shandaken, NY 12480 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (262,1,212,'Decatur, MS 39327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (263,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (264,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (265,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (266,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (267,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (268,1,220,'Maple Heights, OH 44137 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (269,1,266,'Le Roy, KS 66857 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (270,1,266,'Le Roy, KS 66857 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (271,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (272,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (273,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (274,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (275,1,334,'Falling Waters, WV 25419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (276,1,22,'Walpole, ME 04573 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (277,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (278,1,32,'Plainfield, NJ 07060 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (279,1,32,'Plainfield, NJ 07060 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (280,1,93,'Boyers, PA 16020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (282,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (283,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (284,1,321,'Baltimore, MD 21223 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (286,1,315,'Beltsville, MD 20705 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (287,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (288,1,286,'Stockton, MD 21864 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (289,1,286,'Stockton, MD 21864 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (290,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (291,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (292,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (293,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (294,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (295,1,29,'Secaucus, NJ 07094 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (297,1,319,'Rockville, IN 47872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (298,1,29,'Secaucus, NJ 07094 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (299,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (300,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (301,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (302,1,345,'Loudonville, OH 44842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (303,1,117,'Montoursville, PA 17754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (304,1,6,'Medfield, MA 02052 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (306,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (307,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (308,1,221,'Warnock, OH 43967 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (309,1,221,'Warnock, OH 43967 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (310,1,121,'Tower City, PA 17980 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (311,1,326,'Lanse, MI 49946 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (312,1,302,'North Vernon, IN 47265 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (313,1,350,'Walford, IA 52351 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (314,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (315,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (316,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (317,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (318,1,334,'Falling Waters, WV 25419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (319,1,98,'West Hickory, PA 16370 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (320,1,98,'West Hickory, PA 16370 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (321,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (322,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (323,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (324,1,315,'Beltsville, MD 20705 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (325,1,315,'Beltsville, MD 20705 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (327,1,183,'Paris, KY 40361 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (328,1,183,'Paris, KY 40361 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (329,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (330,1,240,'Beaverdam, OH 45808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (331,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (332,1,356,'Montague, TX 76251 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (334,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (335,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (336,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (337,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (338,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (339,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (340,1,37,'Bozrah, CT 06334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (341,1,37,'Bozrah, CT 06334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (342,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (343,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (344,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (345,1,117,'Montoursville, PA 17754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (347,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (348,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (349,1,142,'Fort Mill, SC 29707 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (350,1,142,'Fort Mill, SC 29707 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (351,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (352,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (353,1,245,'Skipperville, AL 36374 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (354,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (355,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (356,1,94,'Dalmatia, PA 17017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (357,1,51,'Queens Village, NY 11428 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (358,1,252,'Chuckey, TN 37641 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (359,1,252,'Chuckey, TN 37641 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (360,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (361,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (362,1,167,'Chesterfield, MO 63017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (363,1,167,'Chesterfield, MO 63017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (364,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (365,1,332,'Charleston, WV 25304 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (366,1,332,'Charleston, WV 25304 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (367,1,95,'Fredericksburg, PA 17026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (368,1,365,'Pride, LA 70770 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (369,1,365,'Pride, LA 70770 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (370,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (371,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (372,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (373,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (374,1,145,'Fort Lauderdale, FL 33334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (375,1,145,'Fort Lauderdale, FL 33334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (376,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (377,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (378,1,266,'Le Roy, KS 66857 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (379,1,158,'Stevensville, MD 21666 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (381,1,320,'Fayetteville, NC 28305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (382,1,142,'Fort Mill, SC 29707 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (383,1,299,'Wyoming, WV 24898 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (384,1,386,'Klondike, TX 75448 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (386,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (387,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (388,1,162,'Uvalda, GA 30473 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (389,1,162,'Uvalda, GA 30473 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (390,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (391,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (392,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (393,1,305,'Corapeake, NC 27926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (394,1,101,'Towanda, PA 18848 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (395,1,101,'Towanda, PA 18848 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (396,1,284,'Summit Point, WV 25446 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (397,1,284,'Summit Point, WV 25446 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (398,1,344,'Boyden, IA 51234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (399,1,315,'Beltsville, MD 20705 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (400,1,159,'Belton, SC 29627 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (401,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (402,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (403,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (404,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (405,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (406,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (407,1,38,'Newington, CT 06111 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (408,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (409,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (410,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (411,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (412,1,391,'Newton, UT 84327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (413,1,391,'Newton, UT 84327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (414,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (415,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (416,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (417,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (418,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (419,1,151,'Penn Laird, VA 22846 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (420,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (421,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (422,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (423,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (424,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (426,1,141,'Saint Augustine, FL 32095 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (427,1,141,'Saint Augustine, FL 32095 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (428,1,102,'Entriken, PA 16638 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (429,1,26,'China Village, ME 04926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (430,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (432,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (433,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (434,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (435,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (436,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (437,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (438,1,108,'Glen Rock, PA 17327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (440,1,32,'Plainfield, NJ 07060 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (442,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (443,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (444,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (445,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (446,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (447,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (448,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (449,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (450,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (451,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (452,1,80,'Pittsburgh, PA 15203 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (453,1,389,'Boone, CO 81025 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (454,1,389,'Boone, CO 81025 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (455,1,221,'Warnock, OH 43967 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (456,1,365,'Pride, LA 70770 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (457,1,53,'Spotswood, NJ 08884 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (459,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (460,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (461,1,333,'Charles Town, WV 25414 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (462,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (463,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (464,1,120,'Wilburton, PA 17888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (465,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (466,1,277,'Waukesha, WI 53189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (467,1,277,'Waukesha, WI 53189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (468,1,59,'Wampsville, NY 13163 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (469,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (470,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (471,1,205,'Westminster, SC 29693 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (472,1,89,'Salisbury, PA 15558 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (473,1,279,'Hickman, TN 38567 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (474,1,66,'Freeville, NY 13068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (475,1,283,'Oak Ridge, TN 37830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (476,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (477,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (478,1,268,'Mayfield, MI 49666 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (479,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (480,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (481,1,183,'Paris, KY 40361 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (482,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (483,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (484,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (485,1,36,'Fair Haven, NJ 07704 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (486,1,36,'Fair Haven, NJ 07704 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (487,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (488,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (489,1,5,'East Walpole, MA 02032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (490,1,351,'Montgomeryville, PA 18936 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (491,1,351,'Montgomeryville, PA 18936 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (492,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (493,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (494,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (496,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (497,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (499,1,241,'Amanda, OH 43102 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (500,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (501,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (502,1,178,'Clarksdale, MO 64430 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (504,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (505,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (506,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (507,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (508,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (509,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (510,1,277,'Waukesha, WI 53189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (511,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (512,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (513,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (514,1,354,'Stockdale, TX 78160 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (515,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (516,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (517,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (518,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (519,1,309,'Saint Francis, WI 53235 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (520,1,102,'Entriken, PA 16638 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (521,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (522,1,48,'Camden, NJ 08105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (524,1,181,'Cleveland, TN 37311 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (525,1,181,'Cleveland, TN 37311 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (526,1,147,'Ardmore, AL 35739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (527,1,147,'Ardmore, AL 35739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (528,1,223,'Dayton, OH 45432 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (529,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (530,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (531,1,367,'Walker, LA 70785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (532,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (533,1,323,'Calumet, MI 49913 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (534,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (535,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (536,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (537,1,350,'Walford, IA 52351 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (538,1,350,'Walford, IA 52351 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (539,1,40,'Thorndike, ME 04986 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (540,1,40,'Thorndike, ME 04986 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (541,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (542,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (543,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (544,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (545,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (546,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (547,1,360,'Gladstone, NM 88422 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (548,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (549,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (550,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (552,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (553,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (554,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (555,1,324,'Russellville, IN 46175 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (556,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (557,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (558,1,142,'Fort Mill, SC 29707 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (559,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (560,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (561,1,150,'Dora, AL 35062 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (562,1,150,'Dora, AL 35062 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (563,1,368,'Eagletown, OK 74734 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (565,1,149,'Wildwood, FL 34785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (566,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (567,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (568,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (569,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (570,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (571,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (572,1,216,'Cincinnati, OH 45255 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (573,1,375,'Chebanse, IL 60922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (574,1,375,'Chebanse, IL 60922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (575,1,191,'Culbertson, NE 69024 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (576,1,191,'Culbertson, NE 69024 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (577,1,125,'Fort Lauderdale, FL 33314 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (578,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (579,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (580,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (581,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (582,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (583,1,186,'Waterford, MI 48327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (584,1,186,'Waterford, MI 48327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (585,1,371,'Buffalo Gap, TX 79508 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (586,1,371,'Buffalo Gap, TX 79508 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (587,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (588,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (589,1,178,'Clarksdale, MO 64430 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (591,1,340,'Miles, IA 52064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (592,1,340,'Miles, IA 52064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (593,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (594,1,141,'Saint Augustine, FL 32095 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (596,1,141,'Saint Augustine, FL 32095 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (598,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (599,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (600,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (601,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (602,1,31,'Wardsboro, VT 05355 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (603,1,266,'Le Roy, KS 66857 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (604,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (605,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (606,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (607,1,292,'Charlotte Court House, VA 23923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (608,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (609,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (610,1,149,'Wildwood, FL 34785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (611,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (612,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (613,1,297,'Sac City, IA 50583 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (614,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (615,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (617,1,122,'Hampton, SC 29924 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (618,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (619,1,325,'Corunna, IN 46730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (620,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (621,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (622,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (624,1,186,'Waterford, MI 48327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (625,1,131,'Cumming, GA 30041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (626,1,196,'Smiths Creek, MI 48074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (628,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (629,1,114,'Milanville, PA 18443 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (630,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (631,1,392,'East Bernard, TX 77435 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (632,1,145,'Fort Lauderdale, FL 33334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (633,1,145,'Fort Lauderdale, FL 33334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (634,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (635,1,250,'Ridgeway, OH 43345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (636,1,250,'Ridgeway, OH 43345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (637,1,10,'Piermont, NH 03779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (638,1,10,'Piermont, NH 03779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (639,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (640,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (641,1,386,'Klondike, TX 75448 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (642,1,382,'Montegut, LA 70377 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (643,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (644,1,212,'Decatur, MS 39327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (645,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (646,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (647,1,155,'Lewes, DE 19958 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (648,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (649,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (650,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (651,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (652,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (653,1,216,'Cincinnati, OH 45255 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (654,1,216,'Cincinnati, OH 45255 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (655,1,388,'Occidental, CA 95465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (656,1,388,'Occidental, CA 95465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (657,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (658,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (659,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (660,1,307,'Lester, WV 25865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (661,1,42,'Florida, NY 10921 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (662,1,42,'Florida, NY 10921 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (663,1,390,'Pritchett, CO 81064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (664,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (665,1,302,'North Vernon, IN 47265 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (666,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (667,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (668,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (669,1,79,'Watkins Glen, NY 14891 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (670,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (671,1,293,'Duffield, VA 24244 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (672,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (673,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (674,1,217,'Sheldon, MO 64784 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (675,1,217,'Sheldon, MO 64784 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (676,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (677,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (678,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (679,1,210,'Mount Sterling, OH 43143 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (680,1,210,'Mount Sterling, OH 43143 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (681,1,84,'Hague, NY 12836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (682,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (683,1,389,'Boone, CO 81025 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (684,1,389,'Boone, CO 81025 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (685,1,368,'Eagletown, OK 74734 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (686,1,368,'Eagletown, OK 74734 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (687,1,344,'Boyden, IA 51234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (688,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (689,1,88,'Jenners, PA 15546 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (690,1,88,'Jenners, PA 15546 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (691,1,72,'Hopewell Junction, NY 12533 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (692,1,159,'Belton, SC 29627 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (693,1,159,'Belton, SC 29627 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (694,1,134,'Beverly Hills, FL 34465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (695,1,134,'Beverly Hills, FL 34465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (696,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (698,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (699,1,150,'Dora, AL 35062 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (700,1,64,'Smithville Flats, NY 13841 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (702,1,48,'Camden, NJ 08105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (703,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (704,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (705,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (706,1,155,'Lewes, DE 19958 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (707,1,155,'Lewes, DE 19958 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (708,1,256,'Ashley, OH 43003 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (709,1,256,'Ashley, OH 43003 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (710,1,164,'Buffalo, SC 29321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (711,1,164,'Buffalo, SC 29321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (712,1,262,'Chattanooga, TN 37412 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (713,1,333,'Charles Town, WV 25414 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (714,1,200,'Vicksburg, MS 39183 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (716,1,367,'Walker, LA 70785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (717,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (718,1,243,'Columbus, OH 43209 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (719,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (720,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (721,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (722,1,248,'Grand Rapids, MI 49525 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (723,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (724,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (725,1,137,'Pensacola, FL 32509 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (726,1,137,'Pensacola, FL 32509 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (727,1,157,'Ashland City, TN 37015 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (728,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (729,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (730,1,322,'Church View, VA 23032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (731,1,22,'Walpole, ME 04573 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (732,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (733,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (734,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (735,1,63,'Keasbey, NJ 08832 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (736,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (738,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (739,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (740,1,302,'North Vernon, IN 47265 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (741,1,125,'Fort Lauderdale, FL 33314 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (742,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (743,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (745,1,298,'Kewaskum, WI 53040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (746,1,60,'Accord, NY 12404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (747,1,60,'Accord, NY 12404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (748,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (749,1,43,'Allentown, NJ 08501 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (750,1,127,'East Palatka, FL 32131 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (751,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (752,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (753,1,143,'Ruby, SC 29741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (754,1,143,'Ruby, SC 29741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (755,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (756,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (757,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (758,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (759,1,237,'Loyall, KY 40854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (760,1,237,'Loyall, KY 40854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (761,1,251,'Thelma, KY 41260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (762,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (763,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (764,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (765,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (766,1,319,'Rockville, IN 47872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (767,1,319,'Rockville, IN 47872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (768,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (769,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (770,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (771,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (772,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (774,1,216,'Cincinnati, OH 45255 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (776,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (777,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (778,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (779,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (780,1,72,'Hopewell Junction, NY 12533 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (781,1,72,'Hopewell Junction, NY 12533 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (782,1,140,'Orlando, FL 32811 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (783,1,140,'Orlando, FL 32811 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (784,1,313,'Heiskell, TN 37754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (785,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (786,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (787,1,93,'Boyers, PA 16020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (788,1,93,'Boyers, PA 16020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (789,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (790,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (791,1,143,'Ruby, SC 29741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (792,1,143,'Ruby, SC 29741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (794,1,221,'Warnock, OH 43967 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (795,1,38,'Newington, CT 06111 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (796,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (797,1,38,'Newington, CT 06111 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (798,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (799,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (800,1,213,'Hickory, MS 39332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (801,1,213,'Hickory, MS 39332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (802,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (803,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (804,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (805,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (806,1,391,'Newton, UT 84327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (807,1,97,'Mifflinville, PA 18631 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (808,1,97,'Mifflinville, PA 18631 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (809,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (810,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (812,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (813,1,368,'Eagletown, OK 74734 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (814,1,368,'Eagletown, OK 74734 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (815,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (816,1,101,'Towanda, PA 18848 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (817,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (818,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (820,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (821,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (822,1,218,'Laurel, IA 50141 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (823,1,218,'Laurel, IA 50141 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (824,1,218,'Laurel, IA 50141 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (825,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (826,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (827,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (828,1,205,'Westminster, SC 29693 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (829,1,205,'Westminster, SC 29693 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (830,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (831,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (832,1,131,'Cumming, GA 30041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (833,1,82,'Buffalo, NY 14210 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (834,1,82,'Buffalo, NY 14210 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (835,1,110,'Lemont Furnace, PA 15456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (836,1,284,'Summit Point, WV 25446 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (837,1,60,'Accord, NY 12404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (838,1,123,'Hilton Head Island, SC 29928 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (839,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (840,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (841,1,358,'Byers, CO 80103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (842,1,378,'Big Horn, WY 82833 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (843,1,269,'Rapid City, MI 49676 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (844,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (845,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (846,1,43,'Allentown, NJ 08501 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (847,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (848,1,260,'Canton, OH 44708 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (849,1,346,'Greensburg, IN 47240 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (850,1,346,'Greensburg, IN 47240 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (851,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (852,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (853,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (854,1,377,'Los Angeles, CA 90036 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (855,1,377,'Los Angeles, CA 90036 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (856,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (858,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (859,1,383,'Iowa Falls, IA 50126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (860,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (861,1,369,'Espanola, NM 87532 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (862,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (863,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (864,1,338,'Falls Church, VA 22043 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (865,1,318,'Burnett, WI 53922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (866,1,113,'Naples, FL 34108 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (867,1,113,'Naples, FL 34108 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (868,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (869,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (870,1,126,'Boca Raton, FL 33433 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (871,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (872,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (873,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (874,1,198,'Sandy Hook, KY 41171 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (875,1,120,'Wilburton, PA 17888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (877,1,120,'Wilburton, PA 17888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (878,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (879,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (880,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (881,1,242,'Union Furnace, OH 43158 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (882,1,305,'Corapeake, NC 27926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (883,1,305,'Corapeake, NC 27926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (884,1,98,'West Hickory, PA 16370 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (885,1,98,'West Hickory, PA 16370 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (886,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (887,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (888,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (889,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (890,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (891,1,24,'Bowdoin, ME 04287 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (892,1,341,'Ellenboro, NC 28040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (893,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (894,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (895,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (896,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (897,1,35,'Norwood, NJ 07648 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (898,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (899,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (900,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (901,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (902,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (904,1,390,'Pritchett, CO 81064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (905,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (906,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (907,1,320,'Fayetteville, NC 28305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (909,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (910,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (911,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (912,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (913,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (915,1,293,'Duffield, VA 24244 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (916,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (918,1,197,'Olive Hill, KY 41164 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (919,1,70,'Shandaken, NY 12480 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (920,1,70,'Shandaken, NY 12480 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (921,1,112,'Punta Gorda, FL 33983 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (922,1,112,'Punta Gorda, FL 33983 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (923,1,112,'Punta Gorda, FL 33983 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (924,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (925,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (926,1,297,'Sac City, IA 50583 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (927,1,379,'Mclean, TX 79057 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (928,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (929,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (930,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (931,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (932,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (933,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (934,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (935,1,36,'Fair Haven, NJ 07704 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (936,1,36,'Fair Haven, NJ 07704 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (937,1,198,'Sandy Hook, KY 41171 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (938,1,265,'Middletown, MO 63359 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (939,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (940,1,155,'Lewes, DE 19958 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (941,1,331,'Sawyer, MI 49125 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (942,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (943,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (944,1,310,'Sugar Grove, VA 24375 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (945,1,145,'Fort Lauderdale, FL 33334 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (946,1,283,'Oak Ridge, TN 37830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (947,1,283,'Oak Ridge, TN 37830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (948,1,209,'London, OH 43140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (949,1,209,'London, OH 43140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (950,1,291,'Chantilly, VA 20151 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (952,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (953,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (954,1,373,'Isabella, OK 73747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (955,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (956,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (958,1,189,'Dayton, KY 41074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (959,1,174,'Gleason, TN 38229 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (960,1,174,'Gleason, TN 38229 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (961,1,333,'Charles Town, WV 25414 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (962,1,97,'Mifflinville, PA 18631 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (963,1,97,'Mifflinville, PA 18631 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (964,1,299,'Wyoming, WV 24898 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (965,1,64,'Smithville Flats, NY 13841 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (966,1,285,'South Bend, IN 46637 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (967,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (968,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (969,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (970,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (971,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (972,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (973,1,354,'Stockdale, TX 78160 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (974,1,254,'Granite City, IL 62040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (975,1,254,'Granite City, IL 62040 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (976,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (977,1,5,'East Walpole, MA 02032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (978,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (979,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (981,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (983,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (984,1,213,'Hickory, MS 39332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (986,1,313,'Heiskell, TN 37754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (987,1,386,'Klondike, TX 75448 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (988,1,57,'Putnam Valley, NY 10579 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (989,1,57,'Putnam Valley, NY 10579 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (990,1,284,'Summit Point, WV 25446 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (991,1,42,'Florida, NY 10921 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (992,1,213,'Hickory, MS 39332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (994,1,103,'Jamestown, PA 16134 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (995,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (996,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (997,1,124,'Decatur, GA 30032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (998,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (999,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1000,1,309,'Saint Francis, WI 53235 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1001,1,318,'Burnett, WI 53922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1002,1,171,'Irvington, KY 40146 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1003,1,76,'Honeoye, NY 14471 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1004,1,380,'Pflugerville, TX 78660 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1006,1,380,'Pflugerville, TX 78660 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1007,1,305,'Corapeake, NC 27926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1008,1,305,'Corapeake, NC 27926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1009,1,199,'Meally, KY 41234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1010,1,159,'Belton, SC 29627 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1011,1,159,'Belton, SC 29627 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1012,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1013,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1014,1,310,'Sugar Grove, VA 24375 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1015,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1016,1,157,'Ashland City, TN 37015 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1017,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1018,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1019,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1020,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1021,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1022,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1023,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1024,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1025,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1026,1,225,'Chatfield, OH 44825 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1027,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1028,1,342,'Ceresco, MI 49033 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1029,1,342,'Ceresco, MI 49033 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1030,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1031,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1032,1,46,'Prospect, CT 06712 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1033,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1034,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1035,1,324,'Russellville, IN 46175 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1036,1,79,'Watkins Glen, NY 14891 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1037,1,79,'Watkins Glen, NY 14891 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1038,1,133,'Siloam, GA 30665 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1039,1,19,'West Harwich, MA 02671 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1040,1,19,'West Harwich, MA 02671 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1041,1,11,'Prudence Island, RI 02872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1042,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1043,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1044,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1045,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1046,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1047,1,308,'Washington, DC 20427 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1048,1,350,'Walford, IA 52351 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1049,1,6,'Medfield, MA 02052 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1050,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1051,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1053,1,297,'Sac City, IA 50583 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1054,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1055,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1056,1,256,'Ashley, OH 43003 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1057,1,256,'Ashley, OH 43003 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1058,1,308,'Washington, DC 20427 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1059,1,76,'Honeoye, NY 14471 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1060,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1061,1,99,'Centerville, PA 16404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1062,1,194,'Philpot, KY 42366 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1063,1,194,'Philpot, KY 42366 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1064,1,39,'Brookton, ME 04413 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1065,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1066,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1067,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1068,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1069,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1070,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1071,1,264,'Haverhill, OH 45636 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1072,1,264,'Haverhill, OH 45636 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1073,1,271,'Allons, TN 38541 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1074,1,189,'Dayton, KY 41074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1075,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1076,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1077,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1078,1,124,'Decatur, GA 30032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1079,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1080,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1081,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1082,1,263,'Madrid, IA 50156 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1083,1,332,'Charleston, WV 25304 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1084,1,136,'Lakeland, FL 33810 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1085,1,136,'Lakeland, FL 33810 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1086,1,344,'Boyden, IA 51234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1087,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1088,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1089,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1090,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1091,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1092,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1094,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1095,1,326,'Lanse, MI 49946 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1096,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1097,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1098,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1099,1,85,'Westmoreland City, PA 15692 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1100,1,120,'Wilburton, PA 17888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1101,1,120,'Wilburton, PA 17888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1102,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1103,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1104,1,204,'Taylors, SC 29687 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1105,1,141,'Saint Augustine, FL 32095 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1106,1,102,'Entriken, PA 16638 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1107,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1108,1,54,'New Brunswick, NJ 08901 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1109,1,54,'New Brunswick, NJ 08901 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1110,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1111,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1112,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1113,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1114,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1115,1,132,'Newberry, FL 32669 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1116,1,132,'Newberry, FL 32669 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1117,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1118,1,222,'Arkansas City, KS 67005 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1119,1,388,'Occidental, CA 95465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1120,1,388,'Occidental, CA 95465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1123,1,88,'Jenners, PA 15546 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1124,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1125,1,310,'Sugar Grove, VA 24375 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1126,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1127,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1128,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1129,1,220,'Maple Heights, OH 44137 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1130,1,363,'Raymondville, TX 78580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1131,1,303,'Nora, VA 24272 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1132,1,311,'Rustburg, VA 24588 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1133,1,51,'Queens Village, NY 11428 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1134,1,51,'Queens Village, NY 11428 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1135,1,34,'Lebanon, CT 06249 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1136,1,34,'Lebanon, CT 06249 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1137,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1138,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1139,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1140,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1141,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1143,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1145,1,268,'Mayfield, MI 49666 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1146,1,375,'Chebanse, IL 60922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1147,1,40,'Thorndike, ME 04986 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1148,1,40,'Thorndike, ME 04986 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1150,1,109,'New Park, PA 17352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1151,1,346,'Greensburg, IN 47240 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1152,1,335,'Scranton, PA 18510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1153,1,335,'Scranton, PA 18510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1154,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1155,1,324,'Russellville, IN 46175 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1156,1,324,'Russellville, IN 46175 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1157,1,99,'Centerville, PA 16404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1158,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1159,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1160,1,97,'Mifflinville, PA 18631 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1161,1,292,'Charlotte Court House, VA 23923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1162,1,292,'Charlotte Court House, VA 23923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1163,1,292,'Charlotte Court House, VA 23923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1164,1,332,'Charleston, WV 25304 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1165,1,281,'Frankfort, IN 46041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1166,1,281,'Frankfort, IN 46041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1167,1,90,'Adamsburg, PA 15611 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1168,1,349,'Dorchester, IA 52140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1169,1,350,'Walford, IA 52351 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1170,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1171,1,224,'Northfield, OH 44067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1172,1,248,'Grand Rapids, MI 49525 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1173,1,248,'Grand Rapids, MI 49525 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1174,1,121,'Tower City, PA 17980 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1175,1,189,'Dayton, KY 41074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1177,1,171,'Irvington, KY 40146 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1178,1,54,'New Brunswick, NJ 08901 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1179,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1180,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1181,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1183,1,379,'Mclean, TX 79057 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1184,1,379,'Mclean, TX 79057 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1185,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1186,1,208,'Midvale, OH 44653 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1187,1,208,'Midvale, OH 44653 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1188,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1189,1,116,'Dewart, PA 17730 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1190,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1191,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1192,1,192,'Nashville, TN 37214 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1193,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1195,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1196,1,248,'Grand Rapids, MI 49525 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1198,1,258,'Mc Lain, MS 39456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1199,1,258,'Mc Lain, MS 39456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1200,1,122,'Hampton, SC 29924 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1201,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1202,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1203,1,382,'Montegut, LA 70377 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1204,1,382,'Montegut, LA 70377 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1205,1,103,'Jamestown, PA 16134 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1206,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1207,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1208,1,165,'Cleveland, OH 44121 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1209,1,163,'Statesville, NC 28677 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1210,1,163,'Statesville, NC 28677 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1211,1,321,'Baltimore, MD 21223 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1212,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1213,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1214,1,134,'Beverly Hills, FL 34465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1215,1,134,'Beverly Hills, FL 34465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1216,1,346,'Greensburg, IN 47240 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1217,1,346,'Greensburg, IN 47240 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1218,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1219,1,275,'Kansas City, MO 64110 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1220,1,359,'Littleton, CO 80123 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1221,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1222,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1223,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1224,1,9,'Devens, MA 01434 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1226,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1227,1,153,'Alexandria, VA 22312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1228,1,334,'Falling Waters, WV 25419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1229,1,334,'Falling Waters, WV 25419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1230,1,299,'Wyoming, WV 24898 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1231,1,299,'Wyoming, WV 24898 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1232,1,240,'Beaverdam, OH 45808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1233,1,255,'Mount Sherman, KY 42764 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1234,1,255,'Mount Sherman, KY 42764 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1235,1,318,'Burnett, WI 53922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1236,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1237,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1238,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1239,1,10,'Piermont, NH 03779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1240,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1241,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1242,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1243,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1244,1,29,'Secaucus, NJ 07094 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1245,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1246,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1247,1,147,'Ardmore, AL 35739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1248,1,7,'Boston, MA 02115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1249,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1250,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1251,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1252,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1253,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1254,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1255,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1256,1,328,'Conway, MI 49722 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1257,1,328,'Conway, MI 49722 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1258,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1260,1,237,'Loyall, KY 40854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1261,1,11,'Prudence Island, RI 02872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1262,1,11,'Prudence Island, RI 02872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1263,1,111,'Masontown, PA 15461 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1264,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1265,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1266,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1267,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1268,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1270,1,9,'Devens, MA 01434 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1271,1,9,'Devens, MA 01434 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1272,1,25,'Bingham, ME 04920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1273,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1274,1,364,'Jarreau, LA 70749 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1275,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1276,1,173,'Oxford, MS 38655 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1277,1,391,'Newton, UT 84327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1278,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1279,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1280,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1281,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1282,1,369,'Espanola, NM 87532 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1283,1,369,'Espanola, NM 87532 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1284,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1285,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1286,1,213,'Hickory, MS 39332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1287,1,170,'Garfield, KY 40140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1288,1,170,'Garfield, KY 40140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1289,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1291,1,201,'Walnut Grove, MS 39189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1292,1,201,'Walnut Grove, MS 39189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1293,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1294,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1296,1,373,'Isabella, OK 73747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1297,1,373,'Isabella, OK 73747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1298,1,136,'Lakeland, FL 33810 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1299,1,136,'Lakeland, FL 33810 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1300,1,383,'Iowa Falls, IA 50126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1301,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1302,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1303,1,192,'Nashville, TN 37214 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1304,1,192,'Nashville, TN 37214 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1305,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1306,1,114,'Milanville, PA 18443 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1308,1,308,'Washington, DC 20427 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1309,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1310,1,176,'Inverness, MS 38753 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1311,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1312,1,91,'Tyrone, PA 16686 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1313,1,313,'Heiskell, TN 37754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1314,1,167,'Chesterfield, MO 63017 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1315,1,302,'North Vernon, IN 47265 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1317,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1318,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1319,1,92,'Nanty Glo, PA 15943 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1321,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1322,1,107,'Gardners, PA 17324 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1323,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1324,1,285,'South Bend, IN 46637 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1325,1,285,'South Bend, IN 46637 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1326,1,186,'Waterford, MI 48327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1327,1,186,'Waterford, MI 48327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1328,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1329,1,252,'Chuckey, TN 37641 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1330,1,90,'Adamsburg, PA 15611 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1331,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1332,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1333,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1334,1,153,'Alexandria, VA 22312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1335,1,68,'Keeseville, NY 12944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1336,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1337,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1338,1,352,'Hartfield, VA 23071 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1339,1,99,'Centerville, PA 16404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1340,1,99,'Centerville, PA 16404 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1341,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1342,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1343,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1344,1,335,'Scranton, PA 18510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1345,1,381,'Bigelow, AR 72016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1346,1,390,'Pritchett, CO 81064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1348,1,262,'Chattanooga, TN 37412 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1349,1,262,'Chattanooga, TN 37412 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1350,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1351,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1352,1,331,'Sawyer, MI 49125 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1353,1,147,'Ardmore, AL 35739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1354,1,44,'Belle Mead, NJ 08502 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1355,1,318,'Burnett, WI 53922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1356,1,318,'Burnett, WI 53922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1357,1,321,'Baltimore, MD 21223 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1359,1,61,'Remsenburg, NY 11960 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1361,1,114,'Milanville, PA 18443 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1362,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1363,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1364,1,13,'Gloucester, MA 01930 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1365,1,259,'Forest, MS 39074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1366,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1368,1,160,'Carrollton, GA 30118 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1369,1,160,'Carrollton, GA 30118 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1370,1,251,'Thelma, KY 41260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1371,1,251,'Thelma, KY 41260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1372,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1373,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1374,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1375,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1376,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1378,1,314,'Luttrell, TN 37779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1379,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1380,1,115,'Newfoundland, PA 18445 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1381,1,390,'Pritchett, CO 81064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1382,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1383,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1384,1,50,'Pottersville, NJ 07979 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1385,1,112,'Punta Gorda, FL 33983 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1386,1,112,'Punta Gorda, FL 33983 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1387,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1388,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1389,1,78,'Mayville, NY 14757 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1390,1,383,'Iowa Falls, IA 50126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1391,1,209,'London, OH 43140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1392,1,209,'London, OH 43140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1393,1,171,'Irvington, KY 40146 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1394,1,171,'Irvington, KY 40146 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1395,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1396,1,199,'Meally, KY 41234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1397,1,211,'Meridian, MS 39305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1398,1,211,'Meridian, MS 39305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1399,1,306,'Spanishburg, WV 25922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1400,1,306,'Spanishburg, WV 25922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1401,1,375,'Chebanse, IL 60922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1402,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1403,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1404,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1405,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1407,1,335,'Scranton, PA 18510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1408,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1409,1,32,'Plainfield, NJ 07060 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1410,1,328,'Conway, MI 49722 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1411,1,328,'Conway, MI 49722 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1412,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1413,1,245,'Skipperville, AL 36374 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1414,1,331,'Sawyer, MI 49125 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1415,1,144,'Fort Lauderdale, FL 33332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1416,1,144,'Fort Lauderdale, FL 33332 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1417,1,6,'Medfield, MA 02052 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1418,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1419,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1420,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1421,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1422,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1424,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1425,1,285,'South Bend, IN 46637 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1426,1,105,'Richfield, PA 17086 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1428,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1429,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1430,1,7,'Boston, MA 02115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1431,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1432,1,190,'Plainfield, OH 43836 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1433,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1434,1,196,'Smiths Creek, MI 48074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1435,1,313,'Heiskell, TN 37754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1436,1,313,'Heiskell, TN 37754 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1437,1,133,'Siloam, GA 30665 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1438,1,133,'Siloam, GA 30665 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1439,1,43,'Allentown, NJ 08501 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1440,1,43,'Allentown, NJ 08501 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1441,1,177,'Dawson, ND 58428 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1442,1,177,'Dawson, ND 58428 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1443,1,21,'Nobleboro, ME 04555 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1444,1,142,'Fort Mill, SC 29707 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1445,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1446,1,219,'Maineville, OH 45039 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1447,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1448,1,55,'North Chatham, NY 12132 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1449,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1450,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1451,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1452,1,52,'Cedarhurst, NY 11516 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1454,1,95,'Fredericksburg, PA 17026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1455,1,73,'Salt Point, NY 12578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1456,1,188,'Morning View, KY 41063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1457,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1458,1,203,'Midnight, MS 39115 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1459,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1460,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1461,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1462,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1463,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1464,1,295,'Summitville, IN 46070 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1465,1,295,'Summitville, IN 46070 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1466,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1467,1,100,'Springville, PA 18844 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1468,1,92,'Nanty Glo, PA 15943 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1470,1,56,'Melville, NY 11747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1471,1,241,'Amanda, OH 43102 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1472,1,241,'Amanda, OH 43102 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1473,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1474,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1475,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1476,1,367,'Walker, LA 70785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1477,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1478,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1479,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1480,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1481,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1482,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1483,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1484,1,377,'Los Angeles, CA 90036 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1485,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1486,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1487,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1488,1,108,'Glen Rock, PA 17327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1489,1,214,'Paulding, MS 39348 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1491,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1492,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1493,1,193,'Nashville, TN 37220 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1494,1,110,'Lemont Furnace, PA 15456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1495,1,110,'Lemont Furnace, PA 15456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1496,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1497,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1498,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1499,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1500,1,161,'Tyler, AL 36785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1501,1,15,'Buzzards Bay, MA 02542 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1502,1,342,'Ceresco, MI 49033 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1503,1,342,'Ceresco, MI 49033 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1504,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1505,1,235,'Lansing, MI 48933 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1506,1,119,'Shippensburg, PA 17257 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1507,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1508,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1509,1,17,'Carlisle, MA 01741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1510,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1511,1,279,'Hickman, TN 38567 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1512,1,47,'Torrington, CT 06790 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1514,1,133,'Siloam, GA 30665 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1515,1,153,'Alexandria, VA 22312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1516,1,283,'Oak Ridge, TN 37830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1517,1,349,'Dorchester, IA 52140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1518,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1519,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1520,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1521,1,349,'Dorchester, IA 52140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1523,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1524,1,249,'Mount Gilead, OH 43338 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1526,1,250,'Ridgeway, OH 43345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1527,1,250,'Ridgeway, OH 43345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1528,1,290,'Ashburn, VA 20148 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1529,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1530,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1531,1,316,'Wrightsville Beach, NC 28480 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1532,1,182,'Cleveland, TN 37312 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1533,1,239,'Deadwood, SD 57732 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1535,1,248,'Grand Rapids, MI 49525 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1536,1,206,'Nashville, GA 31639 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1537,1,267,'Kingsley, MI 49649 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1538,1,267,'Kingsley, MI 49649 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1539,1,358,'Byers, CO 80103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1540,1,334,'Falling Waters, WV 25419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1541,1,233,'Ovid, MI 48866 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1542,1,233,'Ovid, MI 48866 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1543,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1544,1,343,'Shelby, NC 28150 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1545,1,246,'Spring Valley, WI 54767 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1546,1,246,'Spring Valley, WI 54767 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1547,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1548,1,274,'Memphis, TN 38104 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1549,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1550,1,374,'Zap, ND 58580 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1551,1,53,'Spotswood, NJ 08884 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1552,1,169,'Willisburg, KY 40078 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1553,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1554,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1555,1,187,'Spruce, MI 48762 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1556,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1557,1,304,'Walstonburg, NC 27888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1559,1,304,'Walstonburg, NC 27888 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1560,1,327,'Painesdale, MI 49955 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1561,1,320,'Fayetteville, NC 28305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1562,1,92,'Nanty Glo, PA 15943 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1564,1,260,'Canton, OH 44708 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1566,1,146,'Carbon Hill, AL 35549 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1567,1,129,'Buena Vista, GA 31803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1568,1,236,'Kalamazoo, MI 49006 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1569,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1570,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1571,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1572,1,138,'Huntsville, AL 35805 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1573,1,138,'Huntsville, AL 35805 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1574,1,48,'Camden, NJ 08105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1575,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1576,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1577,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1578,1,294,'Coal City, WV 25823 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1579,1,339,'Salix, IA 51052 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1580,1,223,'Dayton, OH 45432 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1581,1,223,'Dayton, OH 45432 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1582,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1583,1,351,'Montgomeryville, PA 18936 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1584,1,351,'Montgomeryville, PA 18936 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1585,1,261,'Saint Louis, MO 63126 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1586,1,290,'Ashburn, VA 20148 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1587,1,290,'Ashburn, VA 20148 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1588,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1590,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1591,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1592,1,321,'Baltimore, MD 21223 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1593,1,321,'Baltimore, MD 21223 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1594,1,211,'Meridian, MS 39305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1595,1,211,'Meridian, MS 39305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1596,1,387,'Parkman, WY 82838 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1597,1,256,'Ashley, OH 43003 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1598,1,40,'Thorndike, ME 04986 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1599,1,272,'Brush Creek, TN 38547 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1600,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1601,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1602,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1603,1,52,'Cedarhurst, NY 11516 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1604,1,52,'Cedarhurst, NY 11516 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1605,1,332,'Charleston, WV 25304 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1606,1,266,'Le Roy, KS 66857 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1607,1,348,'Afton, IA 50830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1608,1,134,'Beverly Hills, FL 34465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1609,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1610,1,45,'Jobstown, NJ 08041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1611,1,11,'Prudence Island, RI 02872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1612,1,11,'Prudence Island, RI 02872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1614,1,64,'Smithville Flats, NY 13841 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1615,1,85,'Westmoreland City, PA 15692 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1616,1,85,'Westmoreland City, PA 15692 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1617,1,265,'Middletown, MO 63359 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1618,1,265,'Middletown, MO 63359 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1619,1,255,'Mount Sherman, KY 42764 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1620,1,255,'Mount Sherman, KY 42764 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1621,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1622,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1623,1,33,'Essex, CT 06426 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1624,1,351,'Montgomeryville, PA 18936 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1625,1,165,'Cleveland, OH 44121 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1626,1,359,'Littleton, CO 80123 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1627,1,265,'Middletown, MO 63359 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1628,1,265,'Middletown, MO 63359 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1629,1,73,'Salt Point, NY 12578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1630,1,322,'Church View, VA 23032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1631,1,322,'Church View, VA 23032 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1632,1,300,'Aredale, IA 50605 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1633,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1634,1,333,'Charles Town, WV 25414 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1635,1,333,'Charles Town, WV 25414 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1636,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1637,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1639,1,245,'Skipperville, AL 36374 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1641,1,48,'Camden, NJ 08105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1642,1,154,'Montverde, FL 34756 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1643,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1644,1,289,'Oakville, IN 47367 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1645,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1646,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1647,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1648,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1649,1,222,'Arkansas City, KS 67005 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1650,1,306,'Spanishburg, WV 25922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1651,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1652,1,198,'Sandy Hook, KY 41171 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1653,1,198,'Sandy Hook, KY 41171 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1654,1,19,'West Harwich, MA 02671 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1655,1,39,'Brookton, ME 04413 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1656,1,39,'Brookton, ME 04413 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1657,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1658,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1659,1,118,'Roaring Branch, PA 17765 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1660,1,384,'Houston, TX 77063 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1661,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1662,1,185,'Dayton, TN 37321 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1663,1,309,'Saint Francis, WI 53235 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1664,1,309,'Saint Francis, WI 53235 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1665,1,309,'Saint Francis, WI 53235 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1666,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1667,1,258,'Mc Lain, MS 39456 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1669,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1670,1,1,'Boylston, MA 01505 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1671,1,194,'Philpot, KY 42366 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1672,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1673,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1674,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1675,1,172,'Ludlow Falls, OH 45339 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1676,1,232,'Fairchild, WI 54741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1677,1,232,'Fairchild, WI 54741 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1678,1,250,'Ridgeway, OH 43345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1679,1,278,'Oolitic, IN 47451 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1680,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1681,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1682,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1683,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1686,1,315,'Beltsville, MD 20705 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1687,1,220,'Maple Heights, OH 44137 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1688,1,220,'Maple Heights, OH 44137 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1689,1,41,'South Pomfret, VT 05067 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1690,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1691,1,347,'Shell Rock, IA 50670 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1692,1,135,'Lakeland, FL 33803 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1693,1,83,'Bergen, NY 14416 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1694,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1695,1,215,'Cincinnati, OH 45237 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1696,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1697,1,357,'Thrall, TX 76578 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1698,1,87,'Ashville, NY 14710 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1699,1,196,'Smiths Creek, MI 48074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1700,1,336,'Seymour, TN 37865 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1701,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1702,1,337,'Cutler, IN 46920 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1703,1,57,'Putnam Valley, NY 10579 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1704,1,57,'Putnam Valley, NY 10579 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1705,1,22,'Walpole, ME 04573 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1706,1,52,'Cedarhurst, NY 11516 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1707,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1708,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1709,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1710,1,104,'Plainfield, PA 17081 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1712,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1713,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1714,1,67,'Greig, NY 13345 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1715,1,234,'Rhodes, IA 50234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1716,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1717,1,49,'Rio Grande, NJ 08242 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1718,1,114,'Milanville, PA 18443 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1719,1,16,'Hampton, NH 03842 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1720,1,6,'Medfield, MA 02052 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1721,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1722,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1723,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1724,1,196,'Smiths Creek, MI 48074 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1725,1,386,'Klondike, TX 75448 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1727,1,207,'Brighton, MI 48114 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1728,1,288,'Pocahontas, VA 24635 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1729,1,288,'Pocahontas, VA 24635 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1730,1,277,'Waukesha, WI 53189 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1731,1,262,'Chattanooga, TN 37412 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1732,1,4,'Springfield, MA 01105 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1733,1,26,'China Village, ME 04926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1734,1,26,'China Village, ME 04926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1735,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1737,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1738,1,329,'Portland, IN 47371 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1739,1,191,'Culbertson, NE 69024 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1740,1,191,'Culbertson, NE 69024 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1741,1,299,'Wyoming, WV 24898 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1742,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1743,1,175,'Duncan, MS 38740 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1744,1,171,'Irvington, KY 40146 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1745,1,157,'Ashland City, TN 37015 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1747,1,26,'China Village, ME 04926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1748,1,130,'Sumterville, FL 33585 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1751,1,349,'Dorchester, IA 52140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1753,1,372,'Arkadelphia, AR 71923 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1754,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1755,1,253,'Porcupine, SD 57772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1756,1,199,'Meally, KY 41234 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1758,1,233,'Ovid, MI 48866 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1759,1,138,'Huntsville, AL 35805 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1760,1,138,'Huntsville, AL 35805 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1761,1,136,'Lakeland, FL 33810 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1762,1,227,'Galesville, WI 54630 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1763,1,163,'Statesville, NC 28677 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1764,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1765,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1766,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1767,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1768,1,238,'Manchester, KY 40962 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1769,1,20,'Fairfield, VT 05455 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1770,1,20,'Fairfield, VT 05455 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1771,1,20,'Fairfield, VT 05455 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1772,1,229,'Mayfield, KS 67103 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1773,1,230,'Gatlinburg, TN 37738 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1774,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1775,1,362,'Industry, TX 78944 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1776,1,237,'Loyall, KY 40854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1777,1,237,'Loyall, KY 40854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1778,1,131,'Cumming, GA 30041 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1779,1,202,'Somerset, KY 42503 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1780,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1781,1,3,'Webster, MA 01570 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1782,1,147,'Ardmore, AL 35739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1783,1,86,'Anita, PA 15711 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1784,1,26,'China Village, ME 04926 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1785,1,10,'Piermont, NH 03779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1786,1,10,'Piermont, NH 03779 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1787,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1788,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1789,1,214,'Paulding, MS 39348 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1790,1,295,'Summitville, IN 46070 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1792,1,91,'Tyrone, PA 16686 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1793,1,91,'Tyrone, PA 16686 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1794,1,65,'Highland Lake, NY 12743 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1796,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1797,1,273,'Cordova, TN 38016 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1798,1,354,'Stockdale, TX 78160 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1799,1,257,'Neon, KY 41840 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1800,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1801,1,8,'Boston, MA 02116 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1802,1,359,'Littleton, CO 80123 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1803,1,43,'Allentown, NJ 08501 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1804,1,388,'Occidental, CA 95465 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1805,1,19,'West Harwich, MA 02671 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1806,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1807,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1808,1,44,'Belle Mead, NJ 08502 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1809,1,44,'Belle Mead, NJ 08502 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1810,1,14,'Hathorne, MA 01937 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1811,1,385,'Pueblo, CO 81001 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1812,1,302,'North Vernon, IN 47265 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1813,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1814,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1815,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1816,1,236,'Kalamazoo, MI 49006 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1817,1,236,'Kalamazoo, MI 49006 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1818,1,296,'Tipton, IA 52772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1819,1,102,'Entriken, PA 16638 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1820,1,102,'Entriken, PA 16638 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1822,1,360,'Gladstone, NM 88422 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1824,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1825,1,62,'Fonda, NY 12068 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1826,1,208,'Midvale, OH 44653 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1828,1,218,'Laurel, IA 50141 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1829,1,184,'Glendale, SC 29346 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1830,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1831,1,58,'Inwood, NY 11096 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1833,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1834,1,361,'Los Angeles, CA 90026 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1836,1,121,'Tower City, PA 17980 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1837,1,139,'Huntsville, AL 35808 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1838,1,56,'Melville, NY 11747 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1839,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1840,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1841,1,148,'Tampa, FL 33604 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1842,1,276,'Chattanooga, TN 37419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1843,1,276,'Chattanooga, TN 37419 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1844,1,83,'Bergen, NY 14416 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1845,1,83,'Bergen, NY 14416 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1846,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1847,1,205,'Westminster, SC 29693 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1848,1,347,'Shell Rock, IA 50670 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1849,1,30,'Stamford, VT 05352 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1850,1,317,'Charlotte, NC 28227 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1852,1,212,'Decatur, MS 39327 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1853,1,166,'Youngstown, OH 44506 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1854,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1855,1,28,'Edgewater, NJ 07020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1856,1,306,'Spanishburg, WV 25922 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1857,1,226,'Rutland, OH 45775 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1858,1,128,'Warwick, GA 31796 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1859,1,82,'Buffalo, NY 14210 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1860,1,382,'Montegut, LA 70377 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1861,1,382,'Montegut, LA 70377 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1862,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1863,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1864,1,27,'Cornish, ME 04020 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1865,1,47,'Torrington, CT 06790 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1866,1,59,'Wampsville, NY 13163 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1867,1,320,'Fayetteville, NC 28305 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1868,1,163,'Statesville, NC 28677 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1869,1,152,'Lakeshore, FL 33854 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1870,1,275,'Kansas City, MO 64110 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1873,1,278,'Oolitic, IN 47451 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1874,1,348,'Afton, IA 50830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1875,1,348,'Afton, IA 50830 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1876,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1877,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1878,1,12,'West Kingston, RI 02892 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1879,1,72,'Hopewell Junction, NY 12533 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1880,1,296,'Tipton, IA 52772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1881,1,205,'Westminster, SC 29693 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1882,1,217,'Sheldon, MO 64784 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1883,1,217,'Sheldon, MO 64784 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1884,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1885,1,301,'Medora, IN 47260 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1886,1,312,'Chaptico, MD 20621 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1887,1,312,'Chaptico, MD 20621 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1888,1,319,'Rockville, IN 47872 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1889,1,92,'Nanty Glo, PA 15943 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1890,1,359,'Littleton, CO 80123 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1891,1,359,'Littleton, CO 80123 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1892,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1893,1,270,'Mackinaw City, MI 49701 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1894,1,170,'Garfield, KY 40140 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1895,1,77,'Lily Dale, NY 14752 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1896,1,293,'Duffield, VA 24244 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1897,1,231,'North Star, OH 45350 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1898,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1899,1,75,'Conklin, NY 13748 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1901,1,390,'Pritchett, CO 81064 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1902,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1903,1,366,'Rosedale, LA 70772 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1904,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1905,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1906,1,70,'Shandaken, NY 12480 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1907,1,287,'Blandon, PA 19510 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1909,1,280,'Hendersonville, NC 28739 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1910,1,243,'Columbus, OH 43209 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1912,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1913,1,330,'Massey, MD 21650 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1914,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1915,1,179,'Louisville, KY 40280 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1916,1,86,'Anita, PA 15711 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1917,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1918,1,370,'Westcliffe, CO 81252 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1919,1,157,'Ashland City, TN 37015 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1920,1,149,'Wildwood, FL 34785 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1921,1,71,'Copake Falls, NY 12517 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1923,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1924,1,228,'Capac, MI 48014 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1925,1,355,'San Antonio, TX 78204 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1926,1,244,'Brandon, MS 39047 USA','DELIVERED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1927,1,177,'Dawson, ND 58428 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1928,1,257,'Neon, KY 41840 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1929,1,140,'Orlando, FL 32811 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1930,1,140,'Orlando, FL 32811 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1931,1,321,'Baltimore, MD 21223 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1932,1,321,'Baltimore, MD 21223 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1933,1,386,'Klondike, TX 75448 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1934,1,386,'Klondike, TX 75448 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1935,1,220,'Maple Heights, OH 44137 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1936,1,220,'Maple Heights, OH 44137 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1937,1,282,'Velpen, IN 47590 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1938,1,282,'Velpen, IN 47590 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1940,1,180,'Blue Springs, MS 38828 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1941,1,180,'Blue Springs, MS 38828 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1942,1,362,'Industry, TX 78944 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1943,1,362,'Industry, TX 78944 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1944,1,241,'Amanda, OH 43102 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1945,1,157,'Ashland City, TN 37015 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1946,1,157,'Ashland City, TN 37015 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1947,1,157,'Ashland City, TN 37015 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1948,1,238,'Manchester, KY 40962 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1949,1,238,'Manchester, KY 40962 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1950,1,141,'Saint Augustine, FL 32095 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1951,1,239,'Deadwood, SD 57732 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1952,1,239,'Deadwood, SD 57732 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1953,1,239,'Deadwood, SD 57732 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1954,1,234,'Rhodes, IA 50234 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1955,1,376,'Pecos, NM 87552 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1956,1,376,'Pecos, NM 87552 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1957,1,340,'Miles, IA 52064 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1958,1,142,'Fort Mill, SC 29707 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1959,1,364,'Jarreau, LA 70749 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1960,1,364,'Jarreau, LA 70749 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1961,1,364,'Jarreau, LA 70749 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1962,1,346,'Greensburg, IN 47240 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1964,1,176,'Inverness, MS 38753 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1965,1,254,'Granite City, IL 62040 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1966,1,259,'Forest, MS 39074 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1967,1,259,'Forest, MS 39074 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1968,1,278,'Oolitic, IN 47451 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1969,1,278,'Oolitic, IN 47451 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1970,1,267,'Kingsley, MI 49649 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1971,1,317,'Charlotte, NC 28227 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1972,1,317,'Charlotte, NC 28227 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1973,1,308,'Washington, DC 20427 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1974,1,308,'Washington, DC 20427 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1976,1,340,'Miles, IA 52064 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1978,1,364,'Jarreau, LA 70749 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1979,1,341,'Ellenboro, NC 28040 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1980,1,271,'Allons, TN 38541 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1981,1,271,'Allons, TN 38541 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1982,1,286,'Stockton, MD 21864 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1983,1,286,'Stockton, MD 21864 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1984,1,246,'Spring Valley, WI 54767 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1985,1,300,'Aredale, IA 50605 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1986,1,386,'Klondike, TX 75448 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1987,1,284,'Summit Point, WV 25446 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1989,1,359,'Littleton, CO 80123 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1990,1,344,'Boyden, IA 51234 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1991,1,344,'Boyden, IA 51234 USA','IN-TRANSIT');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1992,1,283,'Oak Ridge, TN 37830 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1993,1,283,'Oak Ridge, TN 37830 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1994,1,283,'Oak Ridge, TN 37830 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1995,1,256,'Ashley, OH 43003 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1996,1,256,'Ashley, OH 43003 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1997,1,242,'Union Furnace, OH 43158 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1998,1,242,'Union Furnace, OH 43158 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (1999,1,359,'Littleton, CO 80123 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2000,1,296,'Tipton, IA 52772 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2002,1,267,'Kingsley, MI 49649 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2003,1,258,'Mc Lain, MS 39456 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2004,1,258,'Mc Lain, MS 39456 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2005,1,266,'Le Roy, KS 66857 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2006,1,326,'Lanse, MI 49946 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2007,1,277,'Waukesha, WI 53189 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2008,1,357,'Thrall, TX 76578 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2009,1,292,'Charlotte Court House, VA 23923 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2010,1,365,'Pride, LA 70770 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2011,1,375,'Chebanse, IL 60922 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2013,1,266,'Le Roy, KS 66857 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2014,1,318,'Burnett, WI 53922 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2015,1,318,'Burnett, WI 53922 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2016,1,351,'Montgomeryville, PA 18936 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2018,1,371,'Buffalo Gap, TX 79508 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2019,1,332,'Charleston, WV 25304 USA','SHIPPED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2020,1,339,'Salix, IA 51052 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2021,1,347,'Shell Rock, IA 50670 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2022,1,309,'Saint Francis, WI 53235 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2023,1,309,'Saint Francis, WI 53235 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2024,1,345,'Loudonville, OH 44842 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2025,1,354,'Stockdale, TX 78160 USA','CREATED');
+ INSERT INTO shipments (shipment_id,store_id,customer_id,delivery_address,shipment_status) VALUES (2026,1,354,'Stockdale, TX 78160 USA','CREATED');
+END;
+/
+
+REM *************************** insert data into the ORDER_ITEMS table
+
+Prompt ****** Populating ORDER_ITEMS table ....
+
+BEGIN
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1,1,33,37,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1,2,11,30.69,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (2,1,41,8.66,3,1);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (2,2,32,5.65,5,1);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (3,1,41,8.66,5,2);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (4,1,20,28.21,2,3);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (4,2,38,22.98,4,3);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (4,3,46,39.16,4,3);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (5,1,40,34.06,4,4);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (5,2,32,5.65,3,5);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (6,1,6,38.28,3,6);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (6,2,9,21.16,4,6);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (7,1,36,49.12,4,7);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (7,2,29,24.71,1,7);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (8,1,36,49.12,4,10);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (8,2,38,22.98,4,8);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (8,3,46,27.64,1,9);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (9,1,15,13.97,5,11);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (9,2,32,5.65,2,12);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (10,1,27,39.91,3,13);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (10,2,34,23.32,5,13);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (10,3,5,43.71,3,14);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (11,1,3,16.67,4,15);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (12,1,5,43.71,1,16);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (12,2,46,39.16,3,16);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (13,1,46,39.16,4,17);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (14,1,31,28.59,1,18);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (15,1,33,37,2,20);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (15,2,32,5.65,2,19);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (16,1,41,8.66,5,21);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (16,2,34,23.32,4,22);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (17,1,46,39.16,4,23);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (17,2,26,48.75,4,23);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (18,1,17,39.89,4,25);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (18,2,27,39.91,4,25);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (19,1,13,12.64,3,27);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (19,2,8,19.58,2,26);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (19,3,24,48.39,4,27);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (20,1,27,39.91,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (20,2,9,21.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (20,3,32,5.65,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (21,1,38,22.98,1,28);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (21,2,11,30.69,4,29);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (22,1,10,29.49,2,30);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (22,2,30,37.34,5,31);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (23,1,33,37,4,32);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (23,2,9,21.16,1,33);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (24,1,26,48.75,1,35);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (24,2,10,29.49,1,34);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (25,1,36,49.12,2,36);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (26,1,14,26.14,2,37);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (26,2,20,28.21,2,38);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (27,1,39,11,2,39);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (27,2,4,44.17,3,39);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (27,3,11,30.69,2,40);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (28,1,38,22.98,4,41);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (28,2,36,49.12,3,42);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (29,1,26,48.75,2,43);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (29,2,23,10.33,4,43);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (30,1,22,39.78,5,44);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (30,2,41,8.66,2,45);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (31,1,46,39.16,2,46);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (31,2,37,29.51,5,47);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (32,1,13,12.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (33,1,7,19.16,3,49);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (33,2,25,9.8,4,48);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (34,1,14,26.14,3,50);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (35,1,35,7.18,4,51);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (35,2,32,5.65,5,52);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (36,1,38,22.98,4,53);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (36,2,30,37.34,2,53);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (37,1,16,13.09,4,55);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (37,2,32,5.65,5,54);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (38,1,3,16.67,3,57);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (38,2,41,8.66,1,57);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (38,3,18,24.46,3,56);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (39,1,41,8.66,2,58);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (39,2,26,48.75,2,58);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (40,1,40,34.06,2,59);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (41,1,9,21.16,4,61);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (41,2,40,34.06,1,60);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (42,1,45,31.68,4,62);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (914,2,17,39.89,1,1210);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (915,1,32,5.65,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (916,1,31,28.59,4,1211);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (917,1,46,27.64,2,1212);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (918,1,26,48.75,4,1213);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (918,2,5,43.71,4,1213);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (918,3,17,39.89,4,1213);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (919,1,32,5.65,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (919,2,7,19.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (919,3,43,16.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (920,1,41,8.66,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (920,2,4,44.17,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (921,1,37,29.51,4,1214);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (921,2,42,10.11,4,1215);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (922,1,28,10.24,3,1217);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (922,2,41,8.66,2,1216);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (923,1,46,39.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (923,2,45,31.68,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (926,1,36,49.12,4,1220);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (926,2,4,44.17,1,1220);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (927,1,4,44.17,2,1222);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (927,2,21,38.34,4,1223);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (927,3,24,48.39,5,1221);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (928,1,3,16.67,2,1224);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (928,2,12,10.48,4,1224);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (928,3,35,7.18,4,1224);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (929,1,28,10.24,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (929,2,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (930,1,46,39.16,2,1226);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (930,2,6,38.28,1,1226);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (931,1,8,19.58,1,1227);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (932,1,12,10.48,3,1229);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (932,2,10,29.49,2,1228);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (932,3,21,38.34,1,1229);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (933,1,4,44.17,2,1230);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (933,2,9,21.16,3,1231);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (934,1,10,29.49,1,1232);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (935,1,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (936,1,11,30.69,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (936,2,33,37,5,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (937,3,44,39.32,5,1234);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (938,1,30,37.34,3,1235);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (939,1,41,8.66,5,1236);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (939,2,5,43.71,1,1236);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (940,1,12,10.48,4,1237);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (940,2,10,29.49,3,418);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (941,1,20,28.21,1,1238);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (941,2,33,37,3,1207);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (942,1,46,27.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (942,2,33,37,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (943,1,6,38.28,2,1239);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (944,1,25,9.8,3,1240);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (945,1,46,27.64,1,1243);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (945,2,24,48.39,2,1242);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (946,1,25,9.8,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (948,1,28,10.24,1,1246);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (953,1,44,39.32,1,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (956,1,22,39.78,2,1256);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (960,3,24,48.39,1,1261);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (961,1,23,10.33,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (966,1,46,27.64,5,1268);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (966,2,15,13.97,5,1268);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (976,1,14,26.14,2,1278);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (976,2,40,34.06,4,1278);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (991,1,22,39.78,3,1299);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (998,1,3,16.67,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1004,1,30,37.34,1,1313);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1008,1,9,21.16,2,1317);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1009,1,7,19.16,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1010,2,22,39.78,4,1319);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1011,2,21,38.34,2,1322);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1013,1,10,29.49,2,1324);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1013,2,45,31.68,1,1325);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1014,1,31,28.59,5,1326);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1014,2,10,29.49,5,1327);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1015,1,7,19.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1015,2,46,27.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1016,1,16,13.09,3,1328);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1016,2,33,37,1,1328);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1017,1,28,10.24,5,1329);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1017,2,26,48.75,4,1329);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1018,1,12,10.48,4,1330);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1018,2,6,38.28,3,1330);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1019,1,46,39.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1020,1,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1021,1,42,10.11,4,1332);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1021,2,36,49.12,4,1333);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1021,3,6,38.28,2,1331);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1022,1,4,44.17,2,1334);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1023,1,4,44.17,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1023,2,43,16.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1024,1,45,31.68,2,1335);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1025,1,27,39.91,1,1336);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1025,2,43,16.64,2,1337);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1025,3,9,21.16,5,1338);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1026,1,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1026,2,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1027,1,12,10.48,4,1340);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1027,2,18,24.46,2,1339);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1027,3,20,28.21,2,1339);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1028,1,12,10.48,2,1341);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1029,1,28,10.24,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1029,2,14,26.14,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1030,1,4,44.17,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1030,2,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1031,1,32,5.65,4,1342);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1031,2,46,39.16,5,1342);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1032,1,6,38.28,3,670);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1032,2,45,31.68,4,1343);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1033,1,41,8.66,3,1344);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1034,1,41,8.66,4,1088);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1034,2,23,10.33,2,1345);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1035,1,38,22.98,2,1346);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1035,2,23,10.33,3,1346);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1036,1,13,12.64,3,1349);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1036,2,10,29.49,3,1348);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1036,3,28,10.24,2,712);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1037,1,7,19.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1037,2,30,37.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1038,1,25,9.8,2,1350);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1038,2,34,23.32,3,1351);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1039,1,26,48.75,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1040,1,10,29.49,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1040,2,11,30.69,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1041,1,4,44.17,2,1352);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1042,1,21,38.34,4,1353);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1043,1,28,10.24,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1043,2,27,39.91,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1044,1,26,48.75,4,1354);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1044,2,13,12.64,3,1354);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1045,1,37,29.51,4,1355);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1045,2,19,14.34,2,1356);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1045,3,33,37,4,1356);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1046,1,38,22.98,2,1357);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1047,1,11,30.69,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1048,1,9,21.16,3,1359);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1048,2,37,29.51,3,1185);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1049,1,32,5.65,3,1361);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1049,2,16,13.09,4,1306);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1049,3,45,31.68,5,1361);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1050,1,22,39.78,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1050,2,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1051,1,4,44.17,3,1363);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1051,2,36,49.12,4,1363);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1051,3,10,29.49,2,1362);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1052,1,36,49.12,4,1364);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1052,2,33,37,3,1364);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1052,3,44,39.32,4,1364);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1053,1,21,38.34,5,1365);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1053,2,40,34.06,1,1365);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1054,1,31,28.59,3,1366);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1054,2,26,48.75,1,1366);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1055,1,19,14.34,2,1369);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1055,2,3,16.67,3,1368);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1056,1,46,39.16,3,1371);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1056,2,8,19.58,4,1370);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1057,1,5,43.71,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1057,2,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1058,1,16,13.09,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1058,2,34,23.32,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1058,3,2,29.55,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1059,1,31,28.59,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1059,2,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1060,1,38,22.98,3,1373);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1060,2,35,7.18,2,1372);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1060,3,6,38.28,1,1372);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1061,1,33,37,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1061,2,6,38.28,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1062,1,40,34.06,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1063,1,31,28.59,4,1374);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1063,3,23,10.33,4,1374);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1064,1,46,27.64,4,1376);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1064,3,21,38.34,1,1378);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1065,1,16,13.09,4,1379);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1065,2,6,38.28,4,1380);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1066,1,6,38.28,1,1381);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1066,2,37,29.51,5,1381);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1067,1,8,19.58,2,1383);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1067,3,21,38.34,4,1383);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1068,1,3,16.67,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1068,2,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1069,1,29,24.71,2,1384);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1069,2,7,19.16,5,1384);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1070,1,10,29.49,2,1386);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1070,2,16,13.09,4,1385);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1071,1,35,7.18,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1071,2,13,12.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1072,1,2,29.55,2,1387);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1072,2,36,49.12,5,1388);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1073,1,44,39.32,4,1389);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1074,1,7,19.16,2,1390);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1074,2,21,38.34,2,1390);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1075,1,28,10.24,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1075,2,38,22.98,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1076,1,45,31.68,2,1392);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1076,2,17,39.89,3,1391);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1077,1,15,13.97,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1077,2,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1078,1,46,27.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1079,1,46,39.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1079,2,13,12.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1080,1,23,10.33,3,1393);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1080,2,43,16.64,3,1394);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1081,1,41,8.66,2,1395);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1082,1,22,39.78,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1082,2,20,28.21,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1083,1,29,24.71,2,1396);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1083,2,27,39.91,1,1396);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1084,1,41,8.66,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1085,1,19,14.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1085,2,32,5.65,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1086,1,24,48.39,4,1398);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1086,2,28,10.24,3,1397);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1087,1,6,38.28,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1088,1,39,11,1,1400);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1088,2,2,29.55,2,1399);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1089,1,7,19.16,4,1401);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1089,2,27,39.91,4,1401);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1090,1,43,16.64,3,1402);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1091,1,13,12.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1091,2,34,23.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1092,1,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1092,2,4,44.17,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1092,3,30,37.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1093,1,31,28.59,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1093,2,10,29.49,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1094,1,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1094,2,29,24.71,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1095,1,33,37,2,1403);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1095,2,21,38.34,2,1404);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1096,1,2,29.55,4,1405);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1096,2,38,22.98,4,1405);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1097,1,19,14.34,1,1407);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1097,2,25,9.8,2,1407);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1098,1,4,44.17,4,1408);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1099,1,40,34.06,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1099,2,31,28.59,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1100,1,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1100,2,37,29.51,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1101,1,17,39.89,3,1409);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1102,1,10,29.49,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1102,2,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1102,3,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1103,1,7,19.16,2,1410);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1103,2,27,39.91,2,1411);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1104,1,34,23.32,3,1412);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1104,2,17,39.89,3,1412);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1104,3,35,7.18,3,1412);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1105,1,28,10.24,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1106,1,30,37.34,3,1413);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1106,2,5,43.71,3,1413);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1107,1,4,44.17,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1107,2,10,29.49,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1107,3,31,28.59,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1108,1,35,7.18,5,1414);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1108,2,27,39.91,2,1414);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1109,1,6,38.28,3,1416);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1109,2,29,24.71,3,1415);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1110,1,15,13.97,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1111,1,41,8.66,4,1417);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1111,2,13,12.64,1,1417);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1112,1,39,11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1113,1,9,21.16,4,1418);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1113,2,25,9.8,4,1420);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1113,3,7,19.16,3,1419);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1114,1,35,7.18,1,1421);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1114,2,4,44.17,4,1422);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1114,3,43,16.64,5,1422);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1115,1,29,24.71,4,1424);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1115,2,37,29.51,5,1424);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1116,1,33,37,2,1425);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1117,1,16,13.09,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1117,2,24,48.39,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1118,1,35,7.18,1,1426);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1118,2,4,44.17,2,1426);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1119,1,25,9.8,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1119,2,9,21.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1119,3,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1120,1,16,13.09,5,1428);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1120,2,45,31.68,2,1429);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1120,3,19,14.34,2,840);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1121,1,27,39.91,4,1430);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1122,1,8,19.58,4,1432);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1122,2,2,29.55,4,1431);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1123,1,12,10.48,4,1433);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1123,2,30,37.34,5,1433);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1124,1,2,29.55,3,1434);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1125,1,7,19.16,3,1435);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1125,2,31,28.59,2,1435);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1125,3,30,37.34,3,1436);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1126,1,35,7.18,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1126,2,3,16.67,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1127,1,34,23.32,5,1038);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1127,2,33,37,5,1438);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1127,3,14,26.14,2,1437);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1128,1,46,39.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1128,2,15,13.97,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1129,1,7,19.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1129,2,31,28.59,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1129,3,18,24.46,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1130,1,13,12.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1131,1,18,24.46,2,1439);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1131,2,24,48.39,3,1439);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1131,3,42,10.11,2,1440);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1132,1,18,24.46,3,1442);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1132,2,30,37.34,1,1441);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1133,1,46,39.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1134,1,24,48.39,3,1443);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1134,2,36,49.12,4,1443);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1135,1,35,7.18,4,1444);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1136,1,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1136,2,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1136,3,38,22.98,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1137,1,12,10.48,5,1446);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1137,2,37,29.51,4,1445);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1137,3,46,27.64,5,1446);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1138,1,43,16.64,3,1447);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1138,2,29,24.71,5,1448);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1139,1,24,48.39,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1140,1,46,27.64,1,1449);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1140,2,32,5.65,2,1449);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1141,1,11,30.69,1,1450);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1141,2,42,10.11,1,1450);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1142,1,25,9.8,5,1294);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1142,2,22,39.78,3,1451);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1143,1,40,34.06,3,1452);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1143,2,37,29.51,4,1452);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1143,3,6,38.28,3,1452);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1144,1,34,23.32,1,1454);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1144,2,3,16.67,5,367);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1145,1,12,10.48,1,1455);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1146,1,42,10.11,3,1456);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1146,2,39,11,2,1456);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1146,3,6,38.28,2,1456);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1147,1,3,16.67,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1147,2,10,29.49,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1148,1,37,29.51,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1148,2,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1148,3,32,5.65,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1149,1,37,29.51,4,1457);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1149,2,2,29.55,2,1458);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1150,1,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1151,1,38,22.98,5,1459);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1151,2,2,29.55,4,1459);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1152,1,4,44.17,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1152,2,39,11,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1153,1,18,24.46,3,1460);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1153,2,19,14.34,5,1461);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1154,1,28,10.24,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1154,2,18,24.46,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1155,1,24,48.39,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1155,2,36,49.12,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1156,1,23,10.33,3,1462);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1156,2,5,43.71,4,1463);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1156,3,44,39.32,5,1463);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1157,1,33,37,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1157,2,34,23.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1158,1,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1158,2,32,5.65,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1159,1,31,28.59,2,1464);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1159,2,2,29.55,5,1465);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1159,3,28,10.24,5,1464);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1160,1,33,37,3,1202);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1160,2,7,19.16,1,1466);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1161,1,32,5.65,2,1467);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1162,1,45,31.68,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1163,1,17,39.89,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1163,2,10,29.49,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1164,1,35,7.18,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1164,2,40,34.06,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1165,1,6,38.28,5,1468);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1165,2,36,49.12,5,1468);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1166,1,38,22.98,3,1470);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1166,2,19,14.34,2,1470);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1167,1,20,28.21,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1167,2,15,13.97,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1167,3,13,12.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1168,1,4,44.17,4,1472);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1168,2,5,43.71,4,1471);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1169,1,9,21.16,2,1094);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1169,2,22,39.78,5,1473);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1170,1,41,8.66,4,1475);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1170,2,30,37.34,2,1474);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1171,1,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1171,2,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1172,1,8,19.58,3,1476);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1172,2,5,43.71,3,1476);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1173,1,45,31.68,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1173,2,30,37.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1173,3,22,39.78,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1174,1,34,23.32,2,1477);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1174,2,11,30.69,1,1478);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1175,1,45,31.68,3,1479);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1175,2,33,37,1,1481);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1175,3,46,39.16,1,1480);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1176,1,35,7.18,2,1482);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1176,2,28,10.24,1,1482);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1176,3,25,9.8,4,1483);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1177,1,24,48.39,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1177,2,13,12.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1178,1,31,28.59,4,1484);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1179,1,37,29.51,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1179,2,42,10.11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1179,3,4,44.17,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1180,1,20,28.21,2,1485);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1180,2,23,10.33,4,1486);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1181,1,36,49.12,4,1487);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1182,1,37,29.51,2,1488);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1183,1,5,43.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1183,2,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1183,3,11,30.69,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1184,1,39,11,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1185,1,22,39.78,3,1489);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1186,1,24,48.39,4,1491);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1186,2,35,7.18,5,1478);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1187,1,33,37,1,1493);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1187,2,41,8.66,2,1492);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1188,1,28,10.24,3,1494);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1188,2,29,24.71,1,1495);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1188,3,22,39.78,1,1495);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1189,1,29,24.71,4,1496);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1189,2,12,10.48,4,1497);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1189,3,46,27.64,1,1497);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1190,1,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1191,1,33,37,2,1498);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1191,2,40,34.06,3,1499);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1191,3,14,26.14,3,1499);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1192,1,10,29.49,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1192,2,16,13.09,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1192,3,5,43.71,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1193,1,37,29.51,4,1500);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1193,2,15,13.97,1,1500);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1194,1,32,5.65,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1195,1,13,12.64,1,1501);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1196,1,32,5.65,2,1503);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1196,2,18,24.46,2,1502);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1196,3,40,34.06,2,1502);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1197,1,34,23.32,4,1505);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1197,2,2,29.55,3,1504);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1198,1,14,26.14,4,1506);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1198,2,17,39.89,3,1506);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1199,1,45,31.68,4,1507);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1199,2,41,8.66,4,1250);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1200,1,19,14.34,5,1509);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1200,2,27,39.91,3,1508);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1200,3,7,19.16,4,1509);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1201,1,39,11,1,1510);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1201,2,28,10.24,1,1510);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1201,3,26,48.75,1,1510);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1202,1,22,39.78,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1202,2,27,39.91,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1203,1,10,29.49,3,1511);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1204,1,31,28.59,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1204,2,38,22.98,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1204,3,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1205,1,5,43.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1205,2,19,14.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1206,1,43,16.64,4,1512);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1206,2,16,13.09,1,1512);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1207,1,20,28.21,4,1514);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1207,2,27,39.91,4,1514);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1207,3,40,34.06,4,1514);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1208,1,43,16.64,4,1515);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1209,1,13,12.64,5,1516);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1209,2,33,37,5,1516);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1210,1,42,10.11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1210,2,17,39.89,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1210,3,21,38.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1211,1,16,13.09,4,1517);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1212,1,46,27.64,4,1519);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1212,2,19,14.34,4,1518);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1213,1,8,19.58,4,1520);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1213,2,11,30.69,2,1520);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1214,1,9,21.16,3,1521);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1214,2,10,29.49,1,1521);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1214,3,4,44.17,4,1521);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1215,1,46,39.16,3,1524);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1215,2,26,48.75,1,1524);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1215,3,19,14.34,5,1523);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1216,1,23,10.33,4,1526);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1216,2,7,19.16,5,1527);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1217,1,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1217,2,10,29.49,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1218,1,45,31.68,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1218,2,18,24.46,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1219,1,37,29.51,3,1528);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1220,1,35,7.18,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1220,2,42,10.11,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1220,3,41,8.66,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1221,1,18,24.46,4,1530);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1221,2,43,16.64,5,1529);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1222,1,34,23.32,2,1531);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1222,2,32,5.65,2,1531);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1223,1,40,34.06,1,1532);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1224,1,22,39.78,3,1533);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1224,2,16,13.09,2,1533);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1225,1,44,39.32,5,885);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1226,1,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1227,1,10,29.49,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1227,2,25,9.8,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1228,1,28,10.24,4,1535);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1229,1,20,28.21,1,1536);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1229,2,25,9.8,2,1536);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1230,1,41,8.66,4,1538);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1230,2,40,34.06,4,1537);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1231,1,15,13.97,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1231,2,46,39.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1231,3,8,19.58,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1232,1,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1232,2,19,14.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1233,1,42,10.11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1233,2,27,39.91,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1233,3,33,37,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1234,1,41,8.66,2,1539);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1234,2,30,37.34,2,1539);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1235,1,21,38.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1235,2,43,16.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1236,1,9,21.16,4,1540);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1236,2,16,13.09,3,1540);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1236,3,25,9.8,3,1540);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1237,1,2,29.55,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1237,2,20,28.21,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1238,1,7,19.16,1,1541);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1238,2,4,44.17,5,1542);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1239,1,24,48.39,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1239,2,14,26.14,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1240,1,36,49.12,1,1543);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1240,2,45,31.68,4,1412);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1240,3,23,10.33,4,1544);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1241,1,14,26.14,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1241,2,8,19.58,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1241,3,43,16.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1242,1,23,10.33,3,1546);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1242,2,11,30.69,4,1545);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1242,3,45,31.68,5,1546);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1243,1,17,39.89,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1243,2,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1244,1,13,12.64,2,1547);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1244,2,15,13.97,1,1548);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1245,1,38,22.98,3,1550);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1245,2,41,8.66,4,1549);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1245,3,27,39.91,4,1549);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1246,1,15,13.97,5,1551);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1247,1,33,37,3,1552);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1247,2,5,43.71,2,1552);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1247,3,46,27.64,3,1552);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1248,1,24,48.39,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1248,2,21,38.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1249,1,4,44.17,4,1553);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1249,2,46,39.16,1,1553);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1250,1,30,37.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1251,1,14,26.14,4,1555);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1251,2,8,19.58,4,1554);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1252,1,19,14.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1252,2,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1252,3,17,39.89,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1253,1,27,39.91,3,1556);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1254,1,32,5.65,3,1557);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1254,2,24,48.39,3,1557);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1254,3,2,29.55,1,1559);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1255,1,36,49.12,2,1560);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1255,2,20,28.21,2,1560);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1256,1,40,34.06,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1256,2,12,10.48,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1256,3,37,29.51,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1257,1,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1258,1,15,13.97,1,1561);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1258,2,25,9.8,3,1561);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1259,1,3,16.67,4,1562);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1259,2,8,19.58,4,1562);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1260,1,30,37.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1260,2,5,43.71,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1261,1,30,37.34,4,1564);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1261,2,31,28.59,2,1564);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1262,1,35,7.18,4,838);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1263,1,22,39.78,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1263,2,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1264,1,40,34.06,4,1566);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1264,2,33,37,1,1566);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1265,1,24,48.39,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1265,2,35,7.18,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1266,1,22,39.78,2,1567);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1266,2,33,37,3,1567);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1267,1,3,16.67,3,1568);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1267,2,32,5.65,4,1568);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1268,1,18,24.46,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1268,2,34,23.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1268,3,31,28.59,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1269,1,35,7.18,3,1569);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1270,1,4,44.17,4,1571);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1270,2,42,10.11,4,1570);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1271,1,22,39.78,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1271,2,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1272,1,32,5.65,2,1572);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1272,2,35,7.18,4,1572);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1272,3,38,22.98,3,1573);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1273,1,28,10.24,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1273,2,24,48.39,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1274,1,23,10.33,3,1574);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1274,2,3,16.67,2,1574);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1275,1,7,19.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1276,1,8,19.58,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1276,2,16,13.09,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1277,1,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1277,2,6,38.28,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1278,1,27,39.91,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1278,2,8,19.58,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1279,1,35,7.18,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1279,2,44,39.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1279,3,8,19.58,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1280,1,19,14.34,3,1576);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1280,2,2,29.55,5,1575);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1280,3,30,37.34,2,1575);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1281,1,24,48.39,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1282,1,26,48.75,1,1578);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1282,2,40,34.06,5,1577);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1283,1,32,5.65,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1283,2,12,10.48,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1284,1,29,24.71,2,1579);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1284,2,8,19.58,2,1579);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1285,1,15,13.97,5,1580);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1285,2,25,9.8,4,1581);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1285,3,39,11,5,1581);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1286,1,46,39.16,1,1582);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1286,2,26,48.75,5,1582);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1287,1,27,39.91,1,1584);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1287,2,25,9.8,5,1583);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1288,1,20,28.21,2,1585);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1289,1,30,37.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1290,1,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1291,1,36,49.12,1,1587);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1291,3,11,30.69,3,1586);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1292,1,8,19.58,1,1588);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1292,2,44,39.32,3,1588);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1293,1,2,29.55,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1293,3,33,37,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1294,1,35,7.18,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1294,2,44,39.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1295,1,7,19.16,2,1590);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1295,2,23,10.33,4,1591);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1296,1,14,26.14,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1296,2,40,34.06,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1297,1,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1297,2,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1298,1,5,43.71,3,1593);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1298,2,16,13.09,2,1592);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1299,2,42,10.11,3,1594);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1299,3,7,19.16,1,1595);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1300,1,15,13.97,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1301,1,35,7.18,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1302,2,31,28.59,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1303,1,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1303,2,39,11,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1305,1,13,12.64,5,1597);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1306,1,29,24.71,3,1598);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1307,1,33,37,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1307,2,7,19.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1308,1,12,10.48,5,1599);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1309,1,27,39.91,3,1600);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1311,1,2,29.55,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1313,1,22,39.78,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1315,1,19,14.34,2,1604);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1315,2,17,39.89,2,1603);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1316,1,16,13.09,2,1605);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1317,2,26,48.75,5,1606);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1318,1,14,26.14,5,1607);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1318,2,23,10.33,4,1607);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1319,1,44,39.32,4,1608);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1319,2,4,44.17,4,1215);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1320,1,21,38.34,4,1610);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1320,2,17,39.89,2,1609);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1321,1,43,16.64,2,1611);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1321,2,37,29.51,1,1612);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1321,3,46,39.16,3,1612);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1322,1,3,16.67,2,1614);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1322,2,34,23.32,2,965);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1323,1,19,14.34,2,1616);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1323,2,38,22.98,2,1615);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1324,1,39,11,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1324,3,41,8.66,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1325,1,8,19.58,2,1618);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1325,2,9,21.16,2,1617);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1326,1,3,16.67,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1326,2,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1326,3,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1327,1,15,13.97,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1328,1,24,48.39,2,1619);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1328,2,43,16.64,2,1620);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1329,1,26,48.75,3,1621);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1329,2,37,29.51,2,1623);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1329,3,36,49.12,2,1622);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1330,1,10,29.49,4,1624);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1331,1,15,13.97,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1331,2,13,12.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1332,1,22,39.78,2,1625);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1333,1,2,29.55,1,1626);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1333,2,28,10.24,1,1626);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1334,1,45,31.68,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1334,2,17,39.89,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1335,1,45,31.68,4,1627);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1335,2,33,37,3,1628);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1335,3,17,39.89,4,1627);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1336,1,46,39.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1336,2,26,48.75,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1337,1,45,31.68,2,1629);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1337,2,8,19.58,3,1629);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1338,1,13,12.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1338,2,23,10.33,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1339,1,21,38.34,4,1631);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1339,2,45,31.68,2,1630);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1340,1,3,16.67,2,1632);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1341,1,6,38.28,2,1633);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1342,1,43,16.64,2,1634);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1342,2,32,5.65,1,1635);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1343,1,28,10.24,1,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1344,2,7,19.16,2,1637);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1345,1,13,12.64,5,1116);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1346,1,42,10.11,3,1639);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1346,2,46,27.64,3,1639);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1347,1,42,10.11,2,1574);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1347,2,36,49.12,5,1641);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1348,1,31,28.59,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1350,2,19,14.34,3,1644);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1350,3,3,16.67,4,1140);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1351,1,18,24.46,1,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1353,2,23,10.33,2,1648);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1354,1,29,24.71,5,1649);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1355,1,26,48.75,5,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1356,1,23,10.33,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1359,1,41,8.66,3,1651);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1359,2,6,38.28,2,1651);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1360,1,4,44.17,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1361,1,2,29.55,2,1652);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1361,2,12,10.48,4,1653);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1362,1,6,38.28,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1362,2,20,28.21,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1363,1,11,30.69,4,1654);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1364,1,9,21.16,1,1656);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1364,2,32,5.65,4,1656);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1364,3,2,29.55,3,1655);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1365,1,33,37,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1367,1,14,26.14,5,1657);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1367,2,12,10.48,3,1657);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1368,1,25,9.8,5,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1372,1,14,26.14,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1373,1,17,39.89,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1375,1,29,24.71,3,1658);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1377,1,46,27.64,2,1659);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1379,1,7,19.16,1,1661);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1380,1,21,38.34,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1381,1,27,39.91,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1382,2,13,12.64,3,1662);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1382,3,31,28.59,3,1662);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1383,1,6,38.28,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1383,2,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1383,3,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1384,1,21,38.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1384,2,16,13.09,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1385,1,32,5.65,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1385,2,5,43.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1386,1,40,34.06,3,1665);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1386,2,9,21.16,3,1663);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1386,3,35,7.18,1,1664);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1387,1,31,28.59,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1387,2,36,49.12,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1387,3,14,26.14,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1388,1,19,14.34,5,1666);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1388,2,13,12.64,3,1666);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1389,1,15,13.97,4,1667);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1389,2,33,37,2,1667);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1390,1,12,10.48,2,1669);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1390,2,28,10.24,2,1669);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1390,3,9,21.16,2,1670);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1391,1,40,34.06,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1392,1,24,48.39,2,1671);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1392,2,30,37.34,2,1671);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1393,1,22,39.78,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1394,1,19,14.34,2,1673);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1394,2,41,8.66,4,1672);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1395,1,23,10.33,5,1674);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1395,2,4,44.17,1,1675);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1396,1,25,9.8,3,1677);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1396,2,21,38.34,4,1676);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1397,1,33,37,2,1678);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1398,1,22,39.78,4,1679);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1398,2,11,30.69,4,1679);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1399,1,31,28.59,5,1680);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1399,2,15,13.97,2,1682);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1399,3,16,13.09,5,1681);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1400,1,11,30.69,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1400,2,6,38.28,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1401,1,22,39.78,2,1683);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1402,1,33,37,1,1546);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1402,2,19,14.34,2,1546);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1403,1,17,39.89,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1404,1,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1404,2,16,13.09,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1405,1,30,37.34,1,1686);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1406,1,30,37.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1406,2,46,27.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1407,1,12,10.48,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1407,2,9,21.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1407,3,20,28.21,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1408,1,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1408,2,29,24.71,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1409,1,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1410,1,20,28.21,4,1688);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1410,2,7,19.16,4,1687);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1411,1,28,10.24,5,1689);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1411,2,23,10.33,4,1689);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1412,1,22,39.78,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1412,2,35,7.18,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1413,1,30,37.34,4,1690);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1413,2,38,22.98,4,1691);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1414,1,13,12.64,5,1692);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1414,2,26,48.75,4,1692);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1415,1,44,39.32,3,1693);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1416,1,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1417,1,32,5.65,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1417,2,29,24.71,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1417,3,33,37,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1418,1,31,28.59,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1418,2,45,31.68,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1419,1,33,37,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1419,2,12,10.48,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1420,1,2,29.55,3,1695);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1420,2,29,24.71,3,1694);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1420,3,40,34.06,3,1694);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1421,1,34,23.32,2,1697);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1421,2,14,26.14,4,1696);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1422,1,25,9.8,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1422,2,22,39.78,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1423,1,18,24.46,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1423,2,27,39.91,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1424,1,19,14.34,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1424,2,27,39.91,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1425,1,21,38.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1425,2,29,24.71,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1426,1,41,8.66,1,1698);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1427,1,3,16.67,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1427,2,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1427,3,46,27.64,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1428,1,26,48.75,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1428,2,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1429,1,20,28.21,4,1699);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1429,2,45,31.68,4,1699);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1430,1,10,29.49,2,1700);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1430,2,14,26.14,1,1700);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1431,1,36,49.12,1,1701);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1431,2,11,30.69,3,1701);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1431,3,30,37.34,3,1701);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1432,1,19,14.34,3,1323);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1432,2,35,7.18,4,1702);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1433,1,20,28.21,2,1704);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1433,2,10,29.49,4,1703);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1434,1,37,29.51,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1435,1,29,24.71,2,1705);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1435,2,7,19.16,5,1705);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1436,1,25,9.8,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1436,2,16,13.09,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1436,3,14,26.14,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1437,1,3,16.67,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1438,1,11,30.69,4,1706);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1438,2,29,24.71,4,1706);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1439,1,46,27.64,4,1707);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1439,2,9,21.16,3,1708);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1440,1,7,19.16,2,1710);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1440,2,15,13.97,4,1710);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1440,3,22,39.78,5,1709);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1441,1,6,38.28,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1441,2,33,37,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1442,2,37,29.51,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1443,1,33,37,4,1553);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1443,2,18,24.46,3,1712);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1444,1,10,29.49,4,1714);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1444,2,38,22.98,2,1713);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1445,1,21,38.34,3,1715);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1445,2,32,5.65,4,1715);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1446,1,29,24.71,3,1717);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1446,2,23,10.33,3,1716);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1447,1,42,10.11,4,1718);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1448,1,2,29.55,2,1719);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1449,1,32,5.65,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1449,2,42,10.11,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1449,3,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1450,1,4,44.17,3,1720);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1451,1,10,29.49,5,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1452,1,4,44.17,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1452,2,14,26.14,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1453,1,29,24.71,4,1721);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1454,1,25,9.8,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1455,1,45,31.68,3,1722);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1455,2,23,10.33,3,1723);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1456,1,46,27.64,2,1724);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1456,2,43,16.64,5,1724);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1457,1,33,37,4,1725);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1458,1,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1458,2,15,13.97,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1458,3,29,24.71,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1459,1,21,38.34,4,1602);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1459,2,29,24.71,5,1727);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1460,1,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1461,1,30,37.34,1,1729);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1461,2,24,48.39,2,1728);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1462,1,27,39.91,4,1730);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1463,1,44,39.32,3,1731);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1463,2,35,7.18,2,1349);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1464,1,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1464,2,38,22.98,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1465,1,32,5.65,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1466,1,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1466,2,15,13.97,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1466,3,40,34.06,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1467,1,44,39.32,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1467,2,26,48.75,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1468,1,2,29.55,3,1732);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1468,2,45,31.68,4,1732);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1469,1,18,24.46,1,1733);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1469,2,33,37,4,1734);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1470,1,33,37,1,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1471,2,6,38.28,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1472,1,33,37,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1472,2,34,23.32,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1473,1,41,8.66,3,1735);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1473,2,3,16.67,3,1735);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1473,3,10,29.49,4,1735);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1475,1,34,23.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1475,2,46,27.64,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1476,1,20,28.21,2,1737);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1477,1,40,34.06,4,1738);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1477,3,7,19.16,4,1738);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1478,1,37,29.51,2,1739);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1478,2,21,38.34,2,1740);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1479,1,32,5.65,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1479,2,31,28.59,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1480,1,42,10.11,4,1741);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1480,2,11,30.69,4,1231);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1481,1,6,38.28,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1482,1,46,39.16,3,1743);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1482,2,10,29.49,3,1742);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1483,1,46,39.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1483,2,23,10.33,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1483,3,14,26.14,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1484,1,21,38.34,5,1744);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1485,1,13,12.64,4,1016);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1485,2,20,28.21,3,1745);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1486,1,44,39.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1486,2,36,49.12,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1486,3,14,26.14,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1487,1,23,10.33,4,1734);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1487,2,27,39.91,2,1747);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1488,1,13,12.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1488,2,23,10.33,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1489,1,13,12.64,2,1748);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1489,2,14,26.14,5,1748);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1490,1,19,14.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1490,2,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1491,1,12,10.48,2,1670);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1492,1,38,22.98,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1492,2,27,39.91,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1493,1,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1493,2,39,11,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1494,1,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1494,2,23,10.33,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1495,1,44,39.32,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1495,2,27,39.91,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1495,3,46,39.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1496,1,46,27.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1496,2,5,43.71,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1497,1,45,31.68,1,1751);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1497,2,4,44.17,2,1751);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1497,3,20,28.21,2,1751);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1498,1,16,13.09,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1499,1,5,43.71,4,1753);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1499,2,37,29.51,5,1013);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1500,1,41,8.66,3,1754);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1500,2,26,48.75,2,1755);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1501,1,28,10.24,5,1756);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1501,2,45,31.68,3,1756);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1502,1,46,27.64,3,1758);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1502,2,26,48.75,3,1758);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1503,1,9,21.16,3,1760);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1503,2,4,44.17,3,1759);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1504,1,43,16.64,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1504,2,37,29.51,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1505,1,25,9.8,3,1761);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1505,2,35,7.18,2,1761);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1506,1,22,39.78,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1507,1,16,13.09,1,1762);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1507,2,36,49.12,2,1762);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1508,1,38,22.98,3,1763);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1508,2,46,27.64,4,1763);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1509,1,44,39.32,5,1764);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1509,2,5,43.71,4,1766);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1509,3,26,48.75,3,1765);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1510,1,7,19.16,4,1768);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1510,2,17,39.89,3,1767);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1511,1,37,29.51,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1512,1,14,26.14,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1512,2,38,22.98,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1513,1,36,49.12,2,1769);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1513,3,44,39.32,4,1771);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1514,1,9,21.16,4,1772);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1515,1,42,10.11,3,1773);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1515,2,35,7.18,2,1773);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1516,2,18,24.46,2,1774);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1517,1,42,10.11,4,1777);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1517,2,9,21.16,4,1776);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1518,1,36,49.12,3,1778);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1518,2,46,27.64,4,1778);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1519,1,7,19.16,2,1779);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1520,1,13,12.64,4,1781);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1520,2,46,27.64,4,1780);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1520,3,33,37,1,1780);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1521,3,14,26.14,3,1782);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1523,1,9,21.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1524,1,15,13.97,2,1784);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1525,1,40,34.06,3,1785);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1525,2,17,39.89,4,1786);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1526,1,32,5.65,4,1788);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1526,2,44,39.32,1,1787);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1527,1,38,22.98,4,1789);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1527,2,30,37.34,3,1789);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1531,2,2,29.55,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1532,3,17,39.89,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1533,1,7,19.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1534,1,38,22.98,4,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1535,1,42,10.11,3,1790);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1537,1,44,39.32,3,1792);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1538,2,12,10.48,2,1794);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1540,1,12,10.48,5,1798);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1541,1,27,39.91,4,1799);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1702,1,2,29.55,2,1927);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1703,1,10,29.49,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1703,2,18,24.46,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1704,1,27,39.91,5,1928);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1705,1,39,11,4,1929);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1705,2,18,24.46,4,1930);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1706,1,23,10.33,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1706,2,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1707,1,19,14.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1707,2,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1708,1,43,16.64,3,1932);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1708,2,28,10.24,3,1931);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1709,1,27,39.91,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1709,2,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1710,1,25,9.8,4,1934);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1710,2,7,19.16,4,1934);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1710,3,14,26.14,2,1933);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1711,1,15,13.97,5,1935);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1711,2,16,13.09,3,1936);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1712,1,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1713,1,42,10.11,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1713,2,8,19.58,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1714,1,9,21.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1715,1,26,48.75,3,1938);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1715,2,22,39.78,4,1937);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1715,3,23,10.33,3,1938);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1716,1,8,19.58,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1716,2,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1717,1,35,7.18,2,1941);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1717,2,18,24.46,3,1940);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1718,1,3,16.67,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1718,2,7,19.16,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1719,1,14,26.14,2,1942);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1719,2,23,10.33,3,1943);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1720,1,42,10.11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1720,2,16,13.09,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1721,1,21,38.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1721,2,39,11,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1721,3,34,23.32,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1722,1,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1722,2,7,19.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1723,1,26,48.75,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1723,2,24,48.39,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1724,1,16,13.09,4,1944);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1725,1,37,29.51,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1725,2,19,14.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1726,1,9,21.16,2,1947);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1726,2,6,38.28,4,1946);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1726,3,11,30.69,3,1945);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1727,1,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1727,2,43,16.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1728,1,16,13.09,2,1948);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1728,2,17,39.89,5,1949);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1728,3,9,21.16,3,1948);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1729,1,15,13.97,4,1950);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1730,1,20,28.21,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1730,2,11,30.69,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1731,1,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1731,2,21,38.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1732,1,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1732,2,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1733,1,45,31.68,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1734,1,31,28.59,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1734,2,14,26.14,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1735,1,42,10.11,5,1951);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1735,2,39,11,4,1952);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1735,3,22,39.78,1,1953);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1736,1,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1737,1,37,29.51,3,1954);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1738,1,17,39.89,4,1956);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1738,2,19,14.34,2,1955);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1739,1,41,8.66,5,1957);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1740,1,9,21.16,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1740,2,30,37.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1740,3,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1741,1,35,7.18,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1741,2,11,30.69,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1741,3,42,10.11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1742,1,36,49.12,5,1958);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1743,1,15,13.97,4,1961);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1743,2,39,11,3,1959);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1743,3,9,21.16,2,1960);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1744,1,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1744,2,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1745,1,34,23.32,1,1962);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1745,2,27,39.91,2,1962);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1746,1,25,9.8,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1746,2,31,28.59,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1747,1,45,31.68,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1747,2,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1748,1,10,29.49,2,1964);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1748,2,14,26.14,4,1310);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1749,1,5,43.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1749,2,4,44.17,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1749,3,32,5.65,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1750,1,24,48.39,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1750,2,26,48.75,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1751,1,9,21.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1751,2,35,7.18,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1752,1,3,16.67,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1752,2,29,24.71,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1752,3,25,9.8,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1753,1,46,39.16,2,1965);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1753,2,43,16.64,1,1965);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1754,1,29,24.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1755,1,9,21.16,3,1966);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1755,2,46,27.64,5,1967);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1756,1,46,39.16,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1756,2,3,16.67,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1757,1,36,49.12,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1757,2,31,28.59,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1758,1,9,21.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1758,2,26,48.75,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1759,1,4,44.17,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1760,1,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1760,2,13,12.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1760,3,3,16.67,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1761,1,7,19.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1761,2,34,23.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1762,1,14,26.14,1,1969);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1762,2,11,30.69,5,1968);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1762,3,4,44.17,4,1968);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1763,1,44,39.32,3,1970);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1764,1,25,9.8,2,1971);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1764,2,38,22.98,5,1972);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1765,1,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1765,2,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1765,3,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1766,1,11,30.69,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1766,2,19,14.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1767,1,16,13.09,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1767,2,32,5.65,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1768,1,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1768,2,21,38.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1769,1,35,7.18,4,1973);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1769,2,13,12.64,4,1974);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1769,3,12,10.48,4,1974);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1770,1,26,48.75,2,1976);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1770,2,6,38.28,5,1976);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1771,1,44,39.32,4,1978);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1771,2,42,10.11,1,1961);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1772,1,43,16.64,2,1979);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1772,2,33,37,3,1979);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1773,1,35,7.18,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1774,1,22,39.78,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1774,2,39,11,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1774,3,2,29.55,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1775,1,37,29.51,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1775,2,4,44.17,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1776,1,34,23.32,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1776,2,25,9.8,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1776,3,20,28.21,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1777,1,30,37.34,2,1980);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1777,2,44,39.32,2,1981);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1777,3,26,48.75,3,1981);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1778,1,21,38.34,5,1983);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1778,2,12,10.48,1,1982);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1778,3,10,29.49,3,1983);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1779,1,8,19.58,2,1984);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1779,2,46,39.16,4,1984);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1780,1,25,9.8,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1781,1,46,27.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1781,2,35,7.18,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1781,3,9,21.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1782,1,41,8.66,2,1985);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1782,2,38,22.98,4,1985);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1783,1,17,39.89,2,1986);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1784,1,36,49.12,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1784,2,32,5.65,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1784,3,16,13.09,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1785,1,41,8.66,4,1987);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1785,2,11,30.69,3,1987);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1786,1,13,12.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1786,2,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1787,1,21,38.34,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1787,2,45,31.68,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1788,1,46,27.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1789,1,25,9.8,1,1989);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1789,2,26,48.75,1,1989);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1790,1,35,7.18,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1790,2,25,9.8,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1790,3,29,24.71,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1791,1,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1791,2,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1791,3,16,13.09,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1792,1,31,28.59,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1792,2,46,27.64,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1793,1,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1793,2,30,37.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1794,1,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1794,2,13,12.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1795,1,30,37.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1795,2,34,23.32,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1795,3,22,39.78,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1796,1,2,29.55,5,1990);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1796,2,24,48.39,3,1991);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1797,1,34,23.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1797,2,6,38.28,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1797,3,37,29.51,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1798,1,43,16.64,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1798,2,37,29.51,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1799,1,46,27.64,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1799,2,41,8.66,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1800,1,36,49.12,5,1992);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1801,1,9,21.16,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1802,1,13,12.64,4,1993);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1802,2,32,5.65,4,1994);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1802,3,11,30.69,2,1994);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1803,1,11,30.69,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1803,2,10,29.49,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1804,1,24,48.39,4,1996);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1804,2,5,43.71,3,1996);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1804,3,12,10.48,4,1995);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1805,1,20,28.21,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1805,2,32,5.65,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1806,1,39,11,3,1997);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1806,2,36,49.12,3,1998);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1807,1,24,48.39,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1807,2,6,38.28,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1808,1,14,26.14,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1809,1,40,34.06,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1809,2,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1810,1,45,31.68,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1810,2,26,48.75,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1810,3,42,10.11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1811,1,28,10.24,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1811,2,41,8.66,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1812,1,41,8.66,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1812,2,12,10.48,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1813,1,33,37,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1814,1,34,23.32,2,1999);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1815,1,19,14.34,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1815,2,39,11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1815,3,41,8.66,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1816,1,2,29.55,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1816,2,16,13.09,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1817,1,34,23.32,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1817,2,42,10.11,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1817,3,22,39.78,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1818,1,38,22.98,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1818,2,34,23.32,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1818,3,3,16.67,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1819,1,41,8.66,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1819,2,40,34.06,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1819,3,42,10.11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1820,1,16,13.09,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1820,2,3,16.67,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1821,1,30,37.34,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1821,2,6,38.28,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1822,1,33,37,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1822,2,8,19.58,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1823,1,13,12.64,5,2000);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1823,2,4,44.17,3,2000);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1823,3,46,39.16,2,2000);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1824,1,39,11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1824,2,12,10.48,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1824,3,5,43.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1825,1,27,39.91,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1826,1,38,22.98,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1826,2,26,48.75,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1827,1,7,19.16,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1827,2,19,14.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1828,1,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1828,2,15,13.97,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1829,1,19,14.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1829,2,29,24.71,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1830,1,28,10.24,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1830,2,36,49.12,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1831,1,36,49.12,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1832,1,4,44.17,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1832,2,25,9.8,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1833,1,26,48.75,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1833,2,21,38.34,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1834,1,32,5.65,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1834,2,3,16.67,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1834,3,41,8.66,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1835,1,33,37,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1835,2,22,39.78,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1836,1,15,13.97,2,2002);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1836,2,14,26.14,4,2002);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1837,1,42,10.11,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1838,1,27,39.91,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1838,2,12,10.48,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1839,1,30,37.34,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1839,2,35,7.18,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1840,1,41,8.66,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1840,2,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1841,1,26,48.75,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1842,1,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1843,1,10,29.49,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1843,2,40,34.06,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1844,1,39,11,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1844,2,19,14.34,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1844,3,24,48.39,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1845,1,23,10.33,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1845,2,19,14.34,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1845,3,26,48.75,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1846,1,15,13.97,2,2004);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1846,2,16,13.09,4,2003);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1847,1,44,39.32,3,2005);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1848,1,46,27.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1848,2,7,19.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1849,1,44,39.32,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1850,1,8,19.58,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1850,2,44,39.32,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1851,1,28,10.24,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1851,2,25,9.8,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1852,1,36,49.12,3,2006);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1852,2,29,24.71,1,2006);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1853,1,28,10.24,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1853,2,23,10.33,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1854,1,34,23.32,2,2007);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1854,2,41,8.66,4,2007);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1855,1,3,16.67,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1855,2,22,39.78,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1855,3,41,8.66,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1856,1,5,43.71,3,2008);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1857,1,6,38.28,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1857,2,23,10.33,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1858,1,22,39.78,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1858,2,25,9.8,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1859,1,35,7.18,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1859,2,44,39.32,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1860,1,8,19.58,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1861,1,36,49.12,5,2009);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1861,2,8,19.58,2,2009);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1861,3,14,26.14,3,2009);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1862,1,3,16.67,3,2010);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1863,1,36,49.12,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1863,2,39,11,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1864,1,22,39.78,1,2011);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1864,2,20,28.21,1,2011);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1865,1,26,48.75,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1866,1,20,28.21,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1866,2,6,38.28,3,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1867,2,7,19.16,3,2013);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1870,2,9,21.16,3,2014);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1871,1,46,27.64,2,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1874,2,27,39.91,5,NULL);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1877,1,11,30.69,4,2016);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1877,2,29,24.71,2,1624);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1882,3,24,48.39,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1883,1,34,23.32,4,2018);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1883,2,21,38.34,4,586);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1883,3,40,34.06,2,2018);
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+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1937,1,27,39.91,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1938,1,18,24.46,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1938,2,25,9.8,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1938,3,23,10.33,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1939,1,20,28.21,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1939,2,35,7.18,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1940,1,20,28.21,5,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1940,2,2,29.55,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1940,3,35,7.18,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1941,1,33,37,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1942,1,25,9.8,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1942,2,11,30.69,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1943,1,46,39.16,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1943,2,5,43.71,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1944,1,18,24.46,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1944,2,20,28.21,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1945,1,13,12.64,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1946,1,17,39.89,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1946,2,18,24.46,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1947,1,29,24.71,3,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1948,1,42,10.11,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1949,1,33,37,1,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1949,2,41,8.66,2,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1950,1,31,28.59,4,NULL);
+ INSERT INTO order_items (order_id,line_item_id,product_id,unit_price,quantity,shipment_id) VALUES (1950,2,26,48.75,4,NULL);
+END;
+/
+
+REM *************************** insert data into the INVENTORY table
+
+Prompt ****** Populating INVENTORY table ....
+
+BEGIN
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,10,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,1,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,5,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,7,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,11,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,13,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,15,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,16,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,17,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,21,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,20,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,23,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,5,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,7,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,12,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,18,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (35,1,18);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (35,2,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (35,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (35,8,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,22,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,1,18);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,2,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,5,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,7,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,11,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,12,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,13,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,15,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,16,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,19,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,21,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,23,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,3,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,8,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,12,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,13,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,18,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,23,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,1,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,2,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,3,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,8,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,11,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (38,19,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,5,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,11,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,13,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,15,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,16,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,19,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,21,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,23,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,1,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,7,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,11,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,12,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,16,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,18,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,21,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,1,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,2,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,3,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,8,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,12,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,13,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,1,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,5,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,11,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,13,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,15,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,16,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,19,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,21,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,23,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,1,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,2,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,7,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,12,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,18,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,1,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,2,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,8,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,13,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,15,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,16,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,18,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,23,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,1,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,5,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,7,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,11,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,13,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,15,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,16,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,18,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,19,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,21,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (45,23,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,1,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,5,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,12,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,15,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,18,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,4,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,4,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,4,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,4,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,4,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,4,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,4,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,4,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,4,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,4,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,4,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,4,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,4,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,4,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,4,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,4,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,4,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,9,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,9,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,9,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,9,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,9,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,9,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,9,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,9,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (42,9,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,9,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,9,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,14,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,14,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,14,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,14,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,14,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,14,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,14,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,14,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,14,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,14,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,14,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,14,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,14,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (33,14,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (34,14,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (36,14,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,14,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (39,14,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,14,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (46,14,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,19,19);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,19,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,19,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,19,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,19,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,19,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,19,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,19,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,19,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,19,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,19,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,19,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,19,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,19,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (35,19,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (37,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (40,19,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (41,19,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (43,19,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (44,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,1,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,2,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,4,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,5,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,6,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,7,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,8,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,9,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,11,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,12,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,13,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,14,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,15,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,16,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,18,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,21,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (1,23,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,1,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,2,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,3,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,4,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,5,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,8,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,13,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,14,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,18,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (2,23,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,2,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,3,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,5,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,11,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,13,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,14,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,15,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,16,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,21,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (3,23,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,5,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,7,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,12,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,14,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,15,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (4,18,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,1,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,2,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,3,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,4,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,8,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,10,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,11,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,14,17);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,16,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,18,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,20,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (5,21,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,1,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,5,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,7,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,8,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,9,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,10,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,11,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,13,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,15,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,16,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,19,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,21,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (6,23,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,1,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,7,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,8,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,10,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,11,20);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,12,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (7,18,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,1,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,2,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,3,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,7,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,8,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,9,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,10,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,11,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,12,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,14,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,17,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (8,20,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,1,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,3,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,5,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,8,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,9,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,10,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,11,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,13,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,15,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,16,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,17,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,18,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,19,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,21,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,22,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (9,23,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (10,1,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,1,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,2,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,3,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,4,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,5,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,8,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,9,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,10,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,13,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,14,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,15,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (11,20,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,1,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,5,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,11,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,13,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,14,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,15,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,16,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,17,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,19,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,21,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,22,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (12,23,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,1,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,12,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,13,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,15,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,16,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,17,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (13,18,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,1,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,2,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,3,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,8,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,10,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,13,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,14,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,15,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,16,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,17,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (14,20,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,1,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,2,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,5,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,7,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,11,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,12,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,13,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,15,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,16,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,17,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,19,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,21,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,22,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (15,23,21);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,1,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,2,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,3,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,4,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,8,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,12,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,13,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,18,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (16,23,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,1,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,2,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,4,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,8,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,9,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,10,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,14,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,15,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,16,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,17,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,19,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (17,20,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,1,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,5,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,10,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,11,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,13,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,15,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,16,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,17,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,19,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,20,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,21,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,22,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (18,23,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,7,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,11,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,12,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,16,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,18,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,19,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,21,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,22,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (19,23,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,1,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,2,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,4,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,7,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,8,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,10,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,14,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,19,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,20,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,21,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,22,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (20,23,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,1,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,5,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,7,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,11,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,13,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,15,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,16,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,17,22);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,19,16);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,21,17);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,22,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (21,23,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,1,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,2,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,7,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,8,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,10,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,12,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,17,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,18,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (22,22,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,1,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,2,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,3,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,8,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,9,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,10,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,11,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,13,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,14,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,18,17);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,20,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (23,23,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,1,11);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,5,18);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,9,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,11,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,13,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,14,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,15,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,16,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,17,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,19,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,21,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,22,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (24,23,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,1,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,5,21);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,10,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,12,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,15,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,18,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (25,20,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,1,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,2,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,3,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,4,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,8,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,9,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,10,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,11,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,13,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,14,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,16,25);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,20,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (26,21,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,1,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,5,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,11,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,13,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,15,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,16,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,17,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,19,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,21,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,22,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (27,23,2);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,1,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,7,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,12,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,13,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (28,18,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,1,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,2,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,3,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,4,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,7,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,8,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,9,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,10,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,12,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,14,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,17,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,20,10);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (29,22,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,1,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,3,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,5,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,8,13);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,11,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,13,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,15,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,16,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,17,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,18,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,19,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,21,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,22,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (30,23,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,1,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,2,15);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,3,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,4,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,7,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,9,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,12,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,14,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,18,14);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (31,19,8);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,1,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,2,12);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,3,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,4,5);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,5,6);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,7,4);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,8,9);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,9,7);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,10,3);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,14,0);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,15,1);
+ INSERT INTO inventory (product_id,store_id,product_inventory) VALUES (32,19,8);
+END;
+/
+
+COMMIT;
+
+REM *************************** Resetting values for IDENTITY columns
+
+Prompt ****** Resetting values for IDENTITY columns ....
+
+ALTER TABLE products
+ MODIFY product_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+ALTER TABLE stores
+ MODIFY store_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+ALTER TABLE customers
+ MODIFY customer_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+ALTER TABLE orders
+ MODIFY order_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+ALTER TABLE shipments
+ MODIFY shipment_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+ALTER TABLE inventory
+ MODIFY inventory_id
+ GENERATED BY DEFAULT ON NULL AS IDENTITY (
+ START WITH LIMIT VALUE
+ );
+
+
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-create_tables_ddl.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-create_tables_ddl.sql
new file mode 100644
index 0000000..cf48415
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-create_tables_ddl.sql
@@ -0,0 +1,73 @@
+-- =============================================================================
+-- Oracle Database 26ai - DDL Creation Script
+-- Tables: PRODUCT_CATALOG,
+-- CUSTOMER_ANALYTICS_KPI
+-- =============================================================================
+
+-- -----------------------------------------------------------------------------
+-- Table: PRODUCT_CATALOG
+-- Auxiliary table
+-- -----------------------------------------------------------------------------
+CREATE TABLE product_catalog (
+ sku VARCHAR2(64),
+ product_name VARCHAR2(64),
+ brand VARCHAR2(64),
+ gender VARCHAR2(64),
+ category VARCHAR2(64),
+ subcategory VARCHAR2(64),
+ color VARCHAR2(64),
+ pattern VARCHAR2(64),
+ material VARCHAR2(64),
+ sizes_available VARCHAR2(64),
+ fit VARCHAR2(64),
+ price_usd NUMBER,
+ discount_percent NUMBER,
+ country_of_origin VARCHAR2(64),
+ in_stock VARCHAR2(64),
+ stock_quantity NUMBER,
+ fashion_trend_2025 VARCHAR2(256)
+);
+
+
+-- -----------------------------------------------------------------------------
+-- Table: CUSTOMER_ANALYTICS_KPI
+-- Table created to be uploaded in Databricks
+-- -----------------------------------------------------------------------------
+CREATE TABLE customer_analytics_kpi (
+ customer_id NUMBER(38),
+ full_name VARCHAR2(255 CHAR),
+ email VARCHAR2(255 CHAR),
+ gender VARCHAR2(64 CHAR),
+ date_of_birth DATE,
+ age NUMBER(38),
+ phone_number VARCHAR2(50 CHAR),
+ account_created_date TIMESTAMP(6),
+ customer_tenure_days NUMBER(38),
+ loyalty_tier VARCHAR2(50 CHAR),
+ loyalty_points NUMBER(38),
+ email_verified NUMBER(1),
+ sms_opt_in NUMBER(1),
+ total_orders NUMBER(38),
+ lifetime_value NUMBER,
+ average_order_value NUMBER,
+ last_order_date DATE,
+ days_since_last_order NUMBER(38),
+ preferred_store VARCHAR2(255 CHAR),
+ order_frequency NUMBER,
+ is_active_customer NUMBER(1),
+ customer_segment VARCHAR2(100 CHAR),
+ newsletter_subscribed NUMBER(1),
+ promotional_emails NUMBER(1),
+ marketing_categories_count NUMBER(38),
+ preferred_style VARCHAR2(100 CHAR),
+ favorite_colors_count NUMBER(38),
+ favorite_brands_count NUMBER(38),
+ city VARCHAR2(100 CHAR),
+ state VARCHAR2(100 CHAR),
+ country VARCHAR2(100 CHAR),
+ CONSTRAINT pk_customer_analytics_kpi PRIMARY KEY (customer_id)
+);
+
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-product_catalog.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-product_catalog.sql
new file mode 100644
index 0000000..772f58e
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/cohub-product_catalog.sql
@@ -0,0 +1,319 @@
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0001', 'Urban Thread Men''s Solid T-Shirts', 'Urban Thread', 'Men', 'Clothing', 'T-Shirts', 'Red', 'Solid', 'Cotton', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 63.47, 0, 'Vietnam', 'No', 0, 'Oversized Silhouette Trend - Winter 2025''s comfort-focused fashion with relaxed fits');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0002', 'Classic Fit Men''s Printed Shirts', 'Classic Fit', 'Men', 'Clothing', 'Shirts', 'Blue', 'Printed', 'Denim', 'XS, S, M, L, XL, XXL', 'True to Size', 145.62, 0, 'Turkey', 'Yes', 96, 'Refined Knitwear Layering - Mid-layer sophistication for winter styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0003', 'Sport Elite Men''s Solid Jeans', 'Sport Elite', 'Men', 'Clothing', 'Jeans', 'Olive', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 93.01, 15, 'Portugal', 'Yes', 17, 'Casual Sophistication - Foundation for oversized outerwear combinations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0004', 'Urban Thread Men''s Geometric Trousers', 'Urban Thread', 'Men', 'Clothing', 'Trousers', 'Burgundy', 'Geometric', 'Leather', 'XS, S, M, L, XL, XXL', 'Slim Fit', 42.4, 0, 'Vietnam', 'Yes', 19, 'Tailored Experimentation - Bold patterns and innovative textures in formal wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0005', 'Classic Fit Men''s Plaid Jackets', 'Classic Fit', 'Men', 'Clothing', 'Jackets', 'Purple', 'Plaid', 'Leather', 'XS, S, M, L, XL, XXL', 'Slim Fit', 81.16, 0, 'India', 'No', 0, 'Fleece-Lined Luxury - Understated sophistication with functional warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0006', 'Sport Elite Men''s Striped Sweaters', 'Sport Elite', 'Men', 'Clothing', 'Sweaters', 'Burgundy', 'Striped', 'Nylon', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 95.96, 0, 'China', 'Yes', 32, 'Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0007', 'Urban Thread Men''s Checked Hoodies', 'Urban Thread', 'Men', 'Clothing', 'Hoodies', 'Navy', 'Checked', 'Suede', 'XS, S, M, L, XL, XXL', 'Slim Fit', 27.74, 0, 'India', 'Yes', 69, 'Tech-Knit Innovation - Performance fabrics for modern winter dressing');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0008', 'Classic Fit Men''s Checked Shorts', 'Classic Fit', 'Men', 'Clothing', 'Shorts', 'Pink', 'Checked', 'Polyester', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 48.78, 30, 'USA', 'Yes', 153, 'Color Blocking Accents - Vibrant spring 2025 color statement pieces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0009', 'Sport Elite Men''s Geometric Suits', 'Sport Elite', 'Men', 'Clothing', 'Suits', 'Black', 'Geometric', 'Silk', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 89.95, 30, 'Vietnam', 'No', 0, 'Burgundy Sophistication - Wine-colored suits for winter depth and elegance');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0010', 'Urban Thread Men''s Plaid T-Shirts', 'Urban Thread', 'Men', 'Clothing', 'T-Shirts', 'Olive', 'Plaid', 'Nylon', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 62.51, 0, 'Portugal', 'Yes', 27, 'Layering Foundation - Essential base layer for smart winter layering systems');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0011', 'Classic Fit Men''s Checked Shirts', 'Classic Fit', 'Men', 'Clothing', 'Shirts', 'Navy', 'Checked', 'Leather', 'XS, S, M, L, XL, XXL', 'Slim Fit', 130.98, 0, 'India', 'Yes', 64, 'Refined Knitwear Layering - Mid-layer sophistication for winter styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0012', 'Sport Elite Men''s Striped Jeans', 'Sport Elite', 'Men', 'Clothing', 'Jeans', 'Brown', 'Striped', 'Cotton', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 75.08, 0, 'Italy', 'Yes', 146, 'Tapered-Leg Evolution - Modern silhouette replacing skinny jeans');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0013', 'Urban Thread Men''s Plaid Trousers', 'Urban Thread', 'Men', 'Clothing', 'Trousers', 'Green', 'Plaid', 'Denim', 'XS, S, M, L, XL, XXL', 'True to Size', 72.61, 0, 'Italy', 'Yes', 186, 'Proportion Management - Fitted bottoms to balance oversized outerwear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0014', 'Classic Fit Men''s Geometric Jackets', 'Classic Fit', 'Men', 'Clothing', 'Jackets', 'Grey', 'Geometric', 'Silk', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 39.19, 30, 'USA', 'Yes', 103, 'Fleece-Lined Luxury - Understated sophistication with functional warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0015', 'Sport Elite Men''s Checked Sweaters', 'Sport Elite', 'Men', 'Clothing', 'Sweaters', 'Navy', 'Checked', 'Polyester', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 97.55, 0, 'Italy', 'Yes', 130, 'Half-Zip Fisherman Style - Refined knitwear for temperature versatility');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0016', 'Urban Thread Men''s Solid Hoodies', 'Urban Thread', 'Men', 'Clothing', 'Hoodies', 'Grey', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 45.75, 10, 'Turkey', 'Yes', 141, 'Oversized Comfort Trend - Relaxed fit prioritizing comfort during active wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0017', 'Classic Fit Men''s Striped Shorts', 'Classic Fit', 'Men', 'Clothing', 'Shorts', 'Yellow', 'Striped', 'Suede', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 80.76, 0, 'Italy', 'Yes', 71, 'Transitional Spring Pieces - Sustainable fabrics for seasonal versatility');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0018', 'Sport Elite Men''s Checked Suits', 'Sport Elite', 'Men', 'Clothing', 'Suits', 'Beige', 'Checked', 'Denim', 'XS, S, M, L, XL, XXL', 'Slim Fit', 43.29, 25, 'Italy', 'Yes', 147, 'Classic Suit Goes Wild - Asymmetrical cuts and experimental silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0019', 'Urban Thread Men''s Printed T-Shirts', 'Urban Thread', 'Men', 'Clothing', 'T-Shirts', 'Green', 'Printed', 'Leather', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 40.22, 30, 'India', 'No', 0, 'Layering Foundation - Essential base layer for smart winter layering systems');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0020', 'Classic Fit Men''s Printed Shirts', 'Classic Fit', 'Men', 'Clothing', 'Shirts', 'Pink', 'Printed', 'Suede', 'XS, S, M, L, XL, XXL', 'Slim Fit', 77.94, 0, 'Bangladesh', 'Yes', 192, 'Classic Tailoring Renaissance - Reimagined traditional tailoring with modern twist');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0021', 'Sport Elite Men''s Solid Jeans', 'Sport Elite', 'Men', 'Clothing', 'Jeans', 'Grey', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 118.52, 0, 'Vietnam', 'Yes', 103, 'Casual Sophistication - Foundation for oversized outerwear combinations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0022', 'Urban Thread Men''s Checked Trousers', 'Urban Thread', 'Men', 'Clothing', 'Trousers', 'Red', 'Checked', 'Denim', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 73.44, 0, 'China', 'Yes', 45, 'Tailored Experimentation - Bold patterns and innovative textures in formal wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0023', 'Classic Fit Men''s Striped Jackets', 'Classic Fit', 'Men', 'Clothing', 'Jackets', 'White', 'Striped', 'Nylon', 'XS, S, M, L, XL, XXL', 'Slim Fit', 96.16, 10, 'Turkey', 'Yes', 101, 'Fleece-Lined Luxury - Understated sophistication with functional warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0024', 'Sport Elite Men''s Floral Sweaters', 'Sport Elite', 'Men', 'Clothing', 'Sweaters', 'White', 'Floral', 'Cotton', 'XS, S, M, L, XL, XXL', 'Slim Fit', 107.36, 0, 'Italy', 'Yes', 152, 'Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0025', 'Urban Thread Men''s Checked Hoodies', 'Urban Thread', 'Men', 'Clothing', 'Hoodies', 'Olive', 'Checked', 'Nylon', 'XS, S, M, L, XL, XXL', 'Slim Fit', 83.71, 15, 'Vietnam', 'Yes', 182, 'Hybrid Outerwear Approach - Half-puffer, half-hoodie winter-proof styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0026', 'Classic Fit Men''s Checked Shorts', 'Classic Fit', 'Men', 'Clothing', 'Shorts', 'Purple', 'Checked', 'Wool', 'XS, S, M, L, XL, XXL', 'Regular Fit', 86.7, 0, 'Italy', 'Yes', 143, 'Athleisure Vibe - Spring 2025 cycling shorts trend influence');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0027', 'Sport Elite Men''s Solid Suits', 'Sport Elite', 'Men', 'Clothing', 'Suits', 'White', 'Solid', 'Spandex', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 103.08, 0, 'India', 'No', 0, 'Classic Suit Goes Wild - Asymmetrical cuts and experimental silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0028', 'Urban Thread Men''s Floral T-Shirts', 'Urban Thread', 'Men', 'Clothing', 'T-Shirts', 'Green', 'Floral', 'Nylon', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 29.32, 0, 'China', 'Yes', 47, 'Layering Foundation - Essential base layer for smart winter layering systems');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0029', 'Classic Fit Men''s Solid Shirts', 'Classic Fit', 'Men', 'Clothing', 'Shirts', 'Beige', 'Solid', 'Denim', 'XS, S, M, L, XL, XXL', 'Slim Fit', 144.74, 30, 'Italy', 'Yes', 102, 'Classic Tailoring Renaissance - Reimagined traditional tailoring with modern twist');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0030', 'Sport Elite Men''s Geometric Jeans', 'Sport Elite', 'Men', 'Clothing', 'Jeans', 'Black', 'Geometric', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 97.74, 10, 'Portugal', 'Yes', 101, 'Casual Sophistication - Foundation for oversized outerwear combinations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0031', 'Urban Thread Men''s Checked Trousers', 'Urban Thread', 'Men', 'Clothing', 'Trousers', 'Yellow', 'Checked', 'Spandex', 'XS, S, M, L, XL, XXL', 'True to Size', 58.27, 15, 'Portugal', 'Yes', 96, 'Wide-Leg Volumes - Relaxed fit trousers from Louis Vuitton influence');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0032', 'Classic Fit Men''s Checked Jackets', 'Classic Fit', 'Men', 'Clothing', 'Jackets', 'Burgundy', 'Checked', 'Wool', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 115.2, 0, 'Portugal', 'Yes', 9, 'Leather Jacket Layering - Streetwear-meets-tailoring aesthetic');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0033', 'Sport Elite Men''s Solid Sweaters', 'Sport Elite', 'Men', 'Clothing', 'Sweaters', 'Black', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'True to Size', 107.84, 0, 'Vietnam', 'Yes', 126, 'Texture Mixing Mastery - Nubby wool for visual depth in layered ensembles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0034', 'Urban Thread Men''s Striped Hoodies', 'Urban Thread', 'Men', 'Clothing', 'Hoodies', 'Green', 'Striped', 'Nylon', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 56.42, 0, 'China', 'Yes', 152, 'Tech-Knit Innovation - Performance fabrics for modern winter dressing');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0035', 'Classic Fit Men''s Solid Shorts', 'Classic Fit', 'Men', 'Clothing', 'Shorts', 'Green', 'Solid', 'Silk', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 100.95, 0, 'Vietnam', 'No', 0, 'Transitional Spring Pieces - Sustainable fabrics for seasonal versatility');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0036', 'Urban Thread Men''s Sneakers', 'Urban Thread', 'Men', 'Shoes', 'Sneakers', 'Blue', 'Checked', 'Leather', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 82.68, 0, 'Portugal', 'No', 0, 'Multicolor Trend - Patchwork and embroidery for confident self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0037', 'Classic Fit Men''s Formal Shoes', 'Classic Fit', 'Men', 'Shoes', 'Formal Shoes', 'Blue', 'Striped', 'Suede', '7, 8, 9, 10, 11, 12', 'Regular Fit', 182.16, 0, 'China', 'Yes', 80, 'Premium Leather Investment - Quality footwear combining style and function');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0038', 'Sport Elite Men''s Boots', 'Sport Elite', 'Men', 'Shoes', 'Boots', 'Blue', 'Printed', 'Polyester', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 117.26, 0, 'Portugal', 'No', 0, 'Waterproof Technology - Technical performance without sacrificing style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0039', 'Urban Thread Men''s Loafers', 'Urban Thread', 'Men', 'Shoes', 'Loafers', 'Burgundy', 'Printed', 'Silk', '7, 8, 9, 10, 11, 12', 'True to Size', 120.93, 0, 'India', 'Yes', 98, 'Refined Casualwear - Versatile elegance for mix-and-match styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0040', 'Classic Fit Men''s Sandals', 'Classic Fit', 'Men', 'Shoes', 'Sandals', 'Olive', 'Geometric', 'Linen', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 197.54, 0, 'Bangladesh', 'Yes', 106, 'Natural Fiber Focus - Hemp and organic materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0041', 'Sport Elite Men''s Sneakers', 'Sport Elite', 'Men', 'Shoes', 'Sneakers', 'Charcoal', 'Plaid', 'Linen', '7, 8, 9, 10, 11, 12', 'Slim Fit', 90.77, 0, 'Bangladesh', 'Yes', 190, 'Multicolor Trend - Patchwork and embroidery for confident self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0042', 'Urban Thread Men''s Formal Shoes', 'Urban Thread', 'Men', 'Shoes', 'Formal Shoes', 'Blue', 'Striped', 'Suede', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 78.85, 0, 'India', 'Yes', 90, 'Chelsea Boot Elegance - Thermal-lined slip-on convenience with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0043', 'Classic Fit Men''s Boots', 'Classic Fit', 'Men', 'Shoes', 'Boots', 'Pink', 'Geometric', 'Suede', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 80.06, 0, 'India', 'Yes', 110, 'Waterproof Technology - Technical performance without sacrificing style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0044', 'Sport Elite Men''s Loafers', 'Sport Elite', 'Men', 'Shoes', 'Loafers', 'Pink', 'Geometric', 'Polyester', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 108.72, 0, 'Italy', 'Yes', 130, 'Natural Materials Focus - Quality leather for sustainable investment');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0045', 'Urban Thread Men''s Sandals', 'Urban Thread', 'Men', 'Shoes', 'Sandals', 'Pink', 'Plaid', 'Wool', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 72.76, 0, 'India', 'Yes', 72, 'Casual Sophistication - Eco-conscious summer transition pieces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0046', 'Classic Fit Men''s Sneakers', 'Classic Fit', 'Men', 'Shoes', 'Sneakers', 'Charcoal', 'Floral', 'Linen', '7, 8, 9, 10, 11, 12', 'Athletic Fit', 126.92, 0, 'Italy', 'Yes', 14, 'Sustainable Footwear - Eco-friendly materials in spring 2025 trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0047', 'Sport Elite Men''s Formal Shoes', 'Sport Elite', 'Men', 'Shoes', 'Formal Shoes', 'Charcoal', 'Striped', 'Polyester', '7, 8, 9, 10, 11, 12', 'Athletic Fit', 125.43, 0, 'Italy', 'Yes', 43, 'Chelsea Boot Elegance - Thermal-lined slip-on convenience with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0048', 'Urban Thread Men''s Boots', 'Urban Thread', 'Men', 'Shoes', 'Boots', 'White', 'Geometric', 'Polyester', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 98.06, 0, 'Bangladesh', 'Yes', 70, 'Waterproof Technology - Technical performance without sacrificing style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0049', 'Classic Fit Men''s Loafers', 'Classic Fit', 'Men', 'Shoes', 'Loafers', 'Navy', 'Checked', 'Wool', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 101.59, 10, 'Italy', 'Yes', 67, 'Natural Materials Focus - Quality leather for sustainable investment');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0050', 'Sport Elite Men''s Sandals', 'Sport Elite', 'Men', 'Shoes', 'Sandals', 'White', 'Printed', 'Spandex', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 163.51, 0, 'India', 'Yes', 198, 'Natural Fiber Focus - Hemp and organic materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0051', 'Urban Thread Men''s Sneakers', 'Urban Thread', 'Men', 'Shoes', 'Sneakers', 'Blue', 'Checked', 'Wool', '7, 8, 9, 10, 11, 12', 'True to Size', 106.71, 0, 'Portugal', 'Yes', 25, 'Multicolor Trend - Patchwork and embroidery for confident self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0052', 'Classic Fit Men''s Formal Shoes', 'Classic Fit', 'Men', 'Shoes', 'Formal Shoes', 'Red', 'Checked', 'Wool', '7, 8, 9, 10, 11, 12', 'Regular Fit', 191.23, 0, 'Bangladesh', 'Yes', 68, 'Classic Tailoring Foundation - Essential companion to reimagined suiting');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0053', 'Sport Elite Men''s Boots', 'Sport Elite', 'Men', 'Shoes', 'Boots', 'Beige', 'Solid', 'Suede', '7, 8, 9, 10, 11, 12', 'True to Size', 128.44, 0, 'Bangladesh', 'Yes', 182, 'Chunky Leather Boots - Workwear-inspired with superior traction');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0054', 'Urban Thread Men''s Loafers', 'Urban Thread', 'Men', 'Shoes', 'Loafers', 'White', 'Striped', 'Wool', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 59.52, 0, 'Turkey', 'Yes', 161, 'Refined Casualwear - Versatile elegance for mix-and-match styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0055', 'Classic Fit Men''s Sandals', 'Classic Fit', 'Men', 'Shoes', 'Sandals', 'Burgundy', 'Floral', 'Canvas', '7, 8, 9, 10, 11, 12', 'Athletic Fit', 121.31, 0, 'Vietnam', 'Yes', 26, 'Spring Comfort Trend - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0056', 'Sport Elite Men''s Sneakers', 'Sport Elite', 'Men', 'Shoes', 'Sneakers', 'Red', 'Checked', 'Linen', '7, 8, 9, 10, 11, 12', 'Regular Fit', 130.94, 0, 'China', 'Yes', 174, 'Multicolor Trend - Patchwork and embroidery for confident self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0057', 'Urban Thread Men''s Formal Shoes', 'Urban Thread', 'Men', 'Shoes', 'Formal Shoes', 'Purple', 'Checked', 'Spandex', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 76.12, 0, 'Bangladesh', 'Yes', 58, 'Chelsea Boot Elegance - Thermal-lined slip-on convenience with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0058', 'Classic Fit Men''s Boots', 'Classic Fit', 'Men', 'Shoes', 'Boots', 'Green', 'Printed', 'Silk', '7, 8, 9, 10, 11, 12', 'Slim Fit', 145.66, 20, 'Turkey', 'Yes', 47, 'Waterproof Technology - Technical performance without sacrificing style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0059', 'Sport Elite Men''s Loafers', 'Sport Elite', 'Men', 'Shoes', 'Loafers', 'Charcoal', 'Checked', 'Wool', '7, 8, 9, 10, 11, 12', 'Regular Fit', 120.06, 30, 'Turkey', 'Yes', 176, 'Natural Materials Focus - Quality leather for sustainable investment');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0060', 'Urban Thread Men''s Sandals', 'Urban Thread', 'Men', 'Shoes', 'Sandals', 'Charcoal', 'Geometric', 'Polyester', '7, 8, 9, 10, 11, 12', 'Regular Fit', 106.81, 0, 'China', 'Yes', 69, 'Natural Fiber Focus - Hemp and organic materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0061', 'Classic Fit Men''s Sneakers', 'Classic Fit', 'Men', 'Shoes', 'Sneakers', 'Blue', 'Solid', 'Silk', '7, 8, 9, 10, 11, 12', 'Regular Fit', 83.35, 0, 'Bangladesh', 'No', 0, 'Multicolor Trend - Patchwork and embroidery for confident self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0062', 'Sport Elite Men''s Formal Shoes', 'Sport Elite', 'Men', 'Shoes', 'Formal Shoes', 'Purple', 'Striped', 'Suede', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 119.2, 20, 'Turkey', 'Yes', 146, 'Classic Tailoring Foundation - Essential companion to reimagined suiting');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0063', 'Urban Thread Men''s Boots', 'Urban Thread', 'Men', 'Shoes', 'Boots', 'Red', 'Striped', 'Nylon', '7, 8, 9, 10, 11, 12', 'Slim Fit', 50.36, 10, 'Portugal', 'No', 0, 'Waterproof Technology - Technical performance without sacrificing style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0064', 'Classic Fit Men''s Loafers', 'Classic Fit', 'Men', 'Shoes', 'Loafers', 'White', 'Printed', 'Cotton', '7, 8, 9, 10, 11, 12', 'Slim Fit', 119.67, 25, 'Portugal', 'Yes', 91, 'Transitional Styling - Spring 2025 versatility across seasons');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0065', 'Sport Elite Men''s Sandals', 'Sport Elite', 'Men', 'Shoes', 'Sandals', 'Black', 'Checked', 'Canvas', '7, 8, 9, 10, 11, 12', 'Relaxed Fit', 168.96, 0, 'Portugal', 'No', 0, 'Spring Comfort Trend - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0066', 'Urban Thread Men''s Sneakers', 'Urban Thread', 'Men', 'Shoes', 'Sneakers', 'Grey', 'Floral', 'Cotton', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 127.34, 10, 'India', 'Yes', 172, 'Chunky Sole Movement - Workwear-inspired boots with thick soles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0067', 'Classic Fit Men''s Formal Shoes', 'Classic Fit', 'Men', 'Shoes', 'Formal Shoes', 'Blue', 'Floral', 'Spandex', '7, 8, 9, 10, 11, 12', 'Athletic Fit', 90.91, 10, 'Bangladesh', 'Yes', 73, 'Chelsea Boot Elegance - Thermal-lined slip-on convenience with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0068', 'Sport Elite Men''s Boots', 'Sport Elite', 'Men', 'Shoes', 'Boots', 'Charcoal', 'Geometric', 'Linen', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 93.21, 0, 'Portugal', 'Yes', 7, 'Winter Functionality - Strategic footwear for extreme cold conditions');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0069', 'Urban Thread Men''s Loafers', 'Urban Thread', 'Men', 'Shoes', 'Loafers', 'Olive', 'Solid', 'Silk', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 50.69, 0, 'Vietnam', 'Yes', 115, 'Refined Casualwear - Versatile elegance for mix-and-match styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0070', 'Classic Fit Men''s Sandals', 'Classic Fit', 'Men', 'Shoes', 'Sandals', 'Green', 'Geometric', 'Wool', '7, 8, 9, 10, 11, 12', 'Tailored Fit', 154.98, 0, 'Bangladesh', 'Yes', 114, 'Natural Fiber Focus - Hemp and organic materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0071', 'Urban Thread Men''s Belts', 'Urban Thread', 'Men', 'Accessories', 'Belts', 'Olive', 'Printed', 'Linen', 'XS, S, M, L, XL, XXL', 'True to Size', 44.86, 15, 'Portugal', 'Yes', 108, 'Natural Materials Investment - Quality leather for longevity');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0072', 'Classic Fit Men''s Wallets', 'Classic Fit', 'Men', 'Accessories', 'Wallets', 'Beige', 'Plaid', 'Nylon', 'XS, S, M, L, XL, XXL', 'True to Size', 76.34, 0, 'Portugal', 'Yes', 30, 'Minimalist Luxury - Refined accessories for modern masculine style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0073', 'Sport Elite Men''s Watches', 'Sport Elite', 'Men', 'Accessories', 'Watches', 'Pink', 'Striped', 'Wool', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 19.61, 10, 'Portugal', 'No', 0, 'Minimalist Sophistication - Clean design for versatile styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0074', 'Urban Thread Men''s Caps', 'Urban Thread', 'Men', 'Accessories', 'Caps', 'Grey', 'Checked', 'Cotton', 'XS, S, M, L, XL, XXL', 'True to Size', 17.97, 15, 'Bangladesh', 'Yes', 96, 'Casual Winter Accessories - Practical head protection with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0075', 'Classic Fit Men''s Scarves', 'Classic Fit', 'Men', 'Accessories', 'Scarves', 'Pink', 'Printed', 'Suede', 'XS, S, M, L, XL, XXL', 'Slim Fit', 94.96, 0, 'Bangladesh', 'Yes', 182, 'Layering Sophistication - Advanced winter styling technique');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0076', 'Sport Elite Men''s Sunglasses', 'Sport Elite', 'Men', 'Accessories', 'Sunglasses', 'Red', 'Checked', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 28.3, 0, 'Bangladesh', 'Yes', 141, 'Spring Accessory Essential - UV protection with fashion-forward design');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0077', 'Urban Thread Men''s Bags', 'Urban Thread', 'Men', 'Accessories', 'Bags', 'Pink', 'Solid', 'Silk', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 24.41, 0, 'Bangladesh', 'Yes', 25, 'Sustainable Fashion Choice - Quality pieces over fast fashion');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0078', 'Classic Fit Men''s Belts', 'Classic Fit', 'Men', 'Accessories', 'Belts', 'Beige', 'Checked', 'Denim', 'XS, S, M, L, XL, XXL', 'Slim Fit', 128.06, 0, 'USA', 'Yes', 193, 'Tailoring Accent - Essential detail for sophisticated silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0079', 'Sport Elite Men''s Wallets', 'Sport Elite', 'Men', 'Accessories', 'Wallets', 'Red', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'True to Size', 67.31, 10, 'Italy', 'Yes', 119, 'Leather Craftsmanship - Premium materials investment');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0080', 'Urban Thread Men''s Watches', 'Urban Thread', 'Men', 'Accessories', 'Watches', 'Black', 'Floral', 'Nylon', 'XS, S, M, L, XL, XXL', 'True to Size', 70.7, 10, 'India', 'Yes', 34, 'Timeless Investment - Classic pieces transcending seasonal trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0081', 'Classic Fit Men''s Caps', 'Classic Fit', 'Men', 'Accessories', 'Caps', 'Grey', 'Striped', 'Suede', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 34.64, 0, 'Turkey', 'Yes', 37, 'Casual Winter Accessories - Practical head protection with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0082', 'Sport Elite Men''s Scarves', 'Sport Elite', 'Men', 'Accessories', 'Scarves', 'White', 'Floral', 'Canvas', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 34.06, 0, 'Vietnam', 'No', 0, 'Colorblock Personality - Inject color into neutral winter outfits');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0083', 'Urban Thread Men''s Sunglasses', 'Urban Thread', 'Men', 'Accessories', 'Sunglasses', 'Purple', 'Solid', 'Spandex', 'XS, S, M, L, XL, XXL', 'Slim Fit', 71.55, 15, 'Turkey', 'Yes', 22, 'Metal and Acetate Frames - Bridge traditional and modern styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0084', 'Classic Fit Men''s Bags', 'Classic Fit', 'Men', 'Accessories', 'Bags', 'Olive', 'Checked', 'Suede', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 61.78, 0, 'Bangladesh', 'Yes', 158, 'Leather Investment - Premium materials for everyday reliability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0085', 'Sport Elite Men''s Belts', 'Sport Elite', 'Men', 'Accessories', 'Belts', 'Beige', 'Solid', 'Denim', 'XS, S, M, L, XL, XXL', 'Regular Fit', 80.13, 10, 'Bangladesh', 'Yes', 44, 'Tailoring Accent - Essential detail for sophisticated silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0086', 'Urban Thread Men''s Wallets', 'Urban Thread', 'Men', 'Accessories', 'Wallets', 'Burgundy', 'Geometric', 'Canvas', 'XS, S, M, L, XL, XXL', 'True to Size', 48.23, 25, 'USA', 'Yes', 200, 'Leather Craftsmanship - Premium materials investment');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0087', 'Classic Fit Men''s Watches', 'Classic Fit', 'Men', 'Accessories', 'Watches', 'Grey', 'Geometric', 'Cotton', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 29.1, 0, 'Bangladesh', 'Yes', 42, 'Minimalist Sophistication - Clean design for versatile styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0088', 'Sport Elite Men''s Caps', 'Sport Elite', 'Men', 'Accessories', 'Caps', 'Black', 'Printed', 'Wool', 'XS, S, M, L, XL, XXL', 'True to Size', 47.84, 0, 'USA', 'Yes', 59, 'Athleisure Integration - Sport Elite performance meets fashion');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0089', 'Urban Thread Men''s Scarves', 'Urban Thread', 'Men', 'Accessories', 'Scarves', 'Olive', 'Checked', 'Silk', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 64.87, 0, 'Italy', 'Yes', 54, 'Wool Scarf Essential - Dual-purpose warmth and style enhancement');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0090', 'Classic Fit Men''s Sunglasses', 'Classic Fit', 'Men', 'Accessories', 'Sunglasses', 'Purple', 'Plaid', 'Denim', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 40.65, 20, 'USA', 'Yes', 83, 'Spring Accessory Essential - UV protection with fashion-forward design');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0091', 'Sport Elite Men''s Bags', 'Sport Elite', 'Men', 'Accessories', 'Bags', 'White', 'Geometric', 'Wool', 'XS, S, M, L, XL, XXL', 'Slim Fit', 85.98, 25, 'Vietnam', 'No', 0, 'Functional Minimalism - Practical accessories for modern lifestyle');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0092', 'Urban Thread Men''s Belts', 'Urban Thread', 'Men', 'Accessories', 'Belts', 'Beige', 'Floral', 'Silk', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 65.31, 25, 'Italy', 'No', 0, 'Natural Materials Investment - Quality leather for longevity');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0093', 'Classic Fit Men''s Wallets', 'Classic Fit', 'Men', 'Accessories', 'Wallets', 'Red', 'Striped', 'Polyester', 'XS, S, M, L, XL, XXL', 'Regular Fit', 98.64, 0, 'Portugal', 'Yes', 22, 'Minimalist Luxury - Refined accessories for modern masculine style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0094', 'Sport Elite Men''s Watches', 'Sport Elite', 'Men', 'Accessories', 'Watches', 'Grey', 'Striped', 'Linen', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 46.85, 0, 'Vietnam', 'Yes', 168, 'Minimalist Sophistication - Clean design for versatile styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0095', 'Urban Thread Men''s Caps', 'Urban Thread', 'Men', 'Accessories', 'Caps', 'Grey', 'Geometric', 'Cotton', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 36.62, 25, 'Turkey', 'Yes', 122, 'Casual Winter Accessories - Practical head protection with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0096', 'Classic Fit Men''s Scarves', 'Classic Fit', 'Men', 'Accessories', 'Scarves', 'Navy', 'Checked', 'Nylon', 'XS, S, M, L, XL, XXL', 'Regular Fit', 64.87, 15, 'Vietnam', 'Yes', 161, 'Colorblock Personality - Inject color into neutral winter outfits');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0097', 'Sport Elite Men''s Sunglasses', 'Sport Elite', 'Men', 'Accessories', 'Sunglasses', 'Black', 'Printed', 'Canvas', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 64.39, 0, 'China', 'Yes', 21, 'Metal and Acetate Frames - Bridge traditional and modern styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0098', 'Urban Thread Men''s Bags', 'Urban Thread', 'Men', 'Accessories', 'Bags', 'Burgundy', 'Solid', 'Wool', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 35.86, 0, 'Portugal', 'Yes', 124, 'Leather Investment - Premium materials for everyday reliability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0099', 'Classic Fit Men''s Belts', 'Classic Fit', 'Men', 'Accessories', 'Belts', 'Red', 'Plaid', 'Canvas', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 34.36, 0, 'Bangladesh', 'Yes', 164, 'Natural Materials Investment - Quality leather for longevity');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0100', 'Sport Elite Men''s Wallets', 'Sport Elite', 'Men', 'Accessories', 'Wallets', 'Pink', 'Striped', 'Wool', 'XS, S, M, L, XL, XXL', 'True to Size', 48.42, 30, 'China', 'Yes', 49, 'Sustainable Accessories - Ethical production practices');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0101', 'Urban Thread Men''s Watches', 'Urban Thread', 'Men', 'Accessories', 'Watches', 'Navy', 'Printed', 'Canvas', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 16.37, 0, 'Italy', 'Yes', 51, 'Minimalist Sophistication - Clean design for versatile styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0102', 'Classic Fit Men''s Caps', 'Classic Fit', 'Men', 'Accessories', 'Caps', 'Blue', 'Geometric', 'Suede', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 99.12, 20, 'Bangladesh', 'Yes', 135, 'Color Accent Opportunity - Pink Revolution in men''s accessories');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0103', 'Sport Elite Men''s Scarves', 'Sport Elite', 'Men', 'Accessories', 'Scarves', 'Red', 'Striped', 'Cotton', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 60.65, 0, 'Italy', 'Yes', 190, 'Layering Sophistication - Advanced winter styling technique');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0104', 'Urban Thread Men''s Sunglasses', 'Urban Thread', 'Men', 'Accessories', 'Sunglasses', 'Black', 'Floral', 'Canvas', 'XS, S, M, L, XL, XXL', 'True to Size', 19.11, 0, 'China', 'Yes', 28, 'Sustainable Materials - Eco-conscious eyewear options');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('MEN-0105', 'Classic Fit Men''s Bags', 'Classic Fit', 'Men', 'Accessories', 'Bags', 'White', 'Striped', 'Denim', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 37.1, 0, 'Italy', 'Yes', 98, 'Sustainable Fashion Choice - Quality pieces over fast fashion');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0001', 'Urban Thread Women''s Geometric Dresses', 'Urban Thread', 'Women', 'Clothing', 'Dresses', 'Grey', 'Geometric', 'Nylon', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 26.25, 0, 'Turkey', 'Yes', 21, 'Dress-Over-Trousers - Standout styling technique for winter 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0002', 'Classic Fit Women''s Striped Tops', 'Classic Fit', 'Women', 'Clothing', 'Tops', 'Burgundy', 'Striped', 'Spandex', 'XS, S, M, L, XL, XXL', 'Regular Fit', 147.46, 10, 'Portugal', 'Yes', 176, 'Cutout Details Spring - Strategic cutouts for sophisticated spring 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0003', 'Sport Elite Women''s Floral Blouses', 'Sport Elite', 'Women', 'Clothing', 'Blouses', 'Yellow', 'Floral', 'Suede', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 46.1, 0, 'China', 'Yes', 109, 'Silk Base Layers - Natural insulation with elegant drape');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0004', 'Urban Thread Women''s Solid Jeans', 'Urban Thread', 'Women', 'Clothing', 'Jeans', 'Brown', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 37.31, 0, 'Bangladesh', 'Yes', 192, 'Sustainable Denim - Organic cotton and responsible production');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0005', 'Classic Fit Women''s Plaid Trousers', 'Classic Fit', 'Women', 'Clothing', 'Trousers', 'Blue', 'Plaid', 'Wool', 'XS, S, M, L, XL, XXL', 'True to Size', 120.22, 0, 'Italy', 'Yes', 56, 'Structural Silhouettes - Oversized aesthetics for sophisticated layering');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0006', 'Sport Elite Women''s Geometric Skirts', 'Sport Elite', 'Women', 'Clothing', 'Skirts', 'Blue', 'Geometric', 'Nylon', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 39.6, 0, 'China', 'Yes', 156, 'Texture Mixing - Corduroy and wool for visual depth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0007', 'Urban Thread Women''s Floral Jackets', 'Urban Thread', 'Women', 'Clothing', 'Jackets', 'Grey', 'Floral', 'Polyester', 'XS, S, M, L, XL, XXL', 'Regular Fit', 69.25, 0, 'USA', 'No', 0, 'Faux Fur Revolution - Floor-sweeping luxury statement pieces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0008', 'Classic Fit Women''s Geometric Sweaters', 'Classic Fit', 'Women', 'Clothing', 'Sweaters', 'Brown', 'Geometric', 'Wool', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 143.35, 0, 'Turkey', 'Yes', 88, 'Chunky Knit Layering - Texture mixing with sheer elements');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0009', 'Sport Elite Women''s Checked Cardigans', 'Sport Elite', 'Women', 'Clothing', 'Cardigans', 'Yellow', 'Checked', 'Leather', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 100.3, 0, 'Portugal', 'Yes', 82, 'Texture Interest - Nubby wool for sophisticated ensembles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0010', 'Urban Thread Women''s Solid Dresses', 'Urban Thread', 'Women', 'Clothing', 'Dresses', 'Burgundy', 'Solid', 'Nylon', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 51.24, 30, 'USA', 'Yes', 78, 'Dress-Over-Trousers - Standout styling technique for winter 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0011', 'Classic Fit Women''s Plaid Tops', 'Classic Fit', 'Women', 'Clothing', 'Tops', 'Navy', 'Plaid', 'Denim', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 39.25, 20, 'Italy', 'Yes', 192, 'Layering Foundation - Base layer for intelligent insulation approach');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0012', 'Sport Elite Women''s Printed Blouses', 'Sport Elite', 'Women', 'Clothing', 'Blouses', 'Yellow', 'Printed', 'Leather', 'XS, S, M, L, XL, XXL', 'True to Size', 37.07, 20, 'Italy', 'Yes', 56, 'Silk Base Layers - Natural insulation with elegant drape');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0013', 'Urban Thread Women''s Striped Jeans', 'Urban Thread', 'Women', 'Clothing', 'Jeans', 'Pink', 'Striped', 'Leather', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 58.13, 0, 'USA', 'Yes', 48, 'High-Rise Styling - Winter 2025 rise and leg opening variations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0014', 'Classic Fit Women''s Floral Trousers', 'Classic Fit', 'Women', 'Clothing', 'Trousers', 'Burgundy', 'Floral', 'Canvas', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 74.21, 10, 'India', 'Yes', 88, 'Structural Silhouettes - Oversized aesthetics for sophisticated layering');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0015', 'Sport Elite Women''s Plaid Skirts', 'Sport Elite', 'Women', 'Clothing', 'Skirts', 'Grey', 'Plaid', 'Leather', 'XS, S, M, L, XL, XXL', 'Regular Fit', 87.95, 25, 'India', 'Yes', 112, 'Texture Mixing - Corduroy and wool for visual depth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0016', 'Urban Thread Women''s Checked Jackets', 'Urban Thread', 'Women', 'Clothing', 'Jackets', 'Yellow', 'Checked', 'Linen', 'XS, S, M, L, XL, XXL', 'Regular Fit', 58.69, 20, 'Vietnam', 'No', 0, 'Luxe Puffer Evolution - Cinched waists and chic color palettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0017', 'Classic Fit Women''s Striped Sweaters', 'Classic Fit', 'Women', 'Clothing', 'Sweaters', 'Grey', 'Striped', 'Linen', 'XS, S, M, L, XL, XXL', 'Regular Fit', 121.3, 0, 'India', 'Yes', 99, 'Mocha Mousse Palette - Warm brown tones in premium knitwear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0018', 'Sport Elite Women''s Solid Cardigans', 'Sport Elite', 'Women', 'Clothing', 'Cardigans', 'Charcoal', 'Solid', 'Suede', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 66.76, 0, 'Bangladesh', 'No', 0, 'Preppy Layering - Lightweight cardigans tied around shoulders');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0019', 'Urban Thread Women''s Striped Dresses', 'Urban Thread', 'Women', 'Clothing', 'Dresses', 'Pink', 'Striped', 'Polyester', 'XS, S, M, L, XL, XXL', 'True to Size', 55.36, 0, 'Italy', 'Yes', 146, 'Slip Dress Versatility - Layer with chunky sweaters and boots');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0020', 'Classic Fit Women''s Plaid Tops', 'Classic Fit', 'Women', 'Clothing', 'Tops', 'Olive', 'Plaid', 'Denim', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 110.62, 30, 'Turkey', 'Yes', 148, 'Cutout Details Spring - Strategic cutouts for sophisticated spring 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0021', 'Sport Elite Women''s Plaid Blouses', 'Sport Elite', 'Women', 'Clothing', 'Blouses', 'Brown', 'Plaid', 'Suede', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 102.16, 0, 'USA', 'Yes', 80, 'Preppy Collar Details - Multiple visible layers as styling features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0022', 'Urban Thread Women''s Solid Jeans', 'Urban Thread', 'Women', 'Clothing', 'Jeans', 'Grey', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'Slim Fit', 63.9, 15, 'Italy', 'Yes', 90, 'High-Rise Styling - Winter 2025 rise and leg opening variations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0023', 'Classic Fit Women''s Geometric Trousers', 'Classic Fit', 'Women', 'Clothing', 'Trousers', 'Black', 'Geometric', 'Linen', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 90.04, 15, 'Portugal', 'No', 0, 'Wide-Leg Trousers - Partner with sleek knits for proportion play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0024', 'Sport Elite Women''s Plaid Skirts', 'Sport Elite', 'Women', 'Clothing', 'Skirts', 'Green', 'Plaid', 'Silk', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 75.16, 0, 'China', 'Yes', 110, 'Preppy Pleats - Heritage styling with contemporary edge');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0025', 'Urban Thread Women''s Geometric Jackets', 'Urban Thread', 'Women', 'Clothing', 'Jackets', 'Navy', 'Geometric', 'Spandex', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 35.63, 0, 'Portugal', 'Yes', 44, 'Faux Fur Revolution - Floor-sweeping luxury statement pieces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0026', 'Classic Fit Women''s Floral Sweaters', 'Classic Fit', 'Women', 'Clothing', 'Sweaters', 'Red', 'Floral', 'Leather', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 55.08, 0, 'Italy', 'Yes', 45, 'Mocha Mousse Palette - Warm brown tones in premium knitwear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0027', 'Sport Elite Women''s Solid Cardigans', 'Sport Elite', 'Women', 'Clothing', 'Cardigans', 'Olive', 'Solid', 'Canvas', 'XS, S, M, L, XL, XXL', 'Slim Fit', 116.14, 0, 'USA', 'Yes', 142, 'Preppy Layering - Lightweight cardigans tied around shoulders');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0028', 'Urban Thread Women''s Solid Dresses', 'Urban Thread', 'Women', 'Clothing', 'Dresses', 'Charcoal', 'Solid', 'Denim', 'XS, S, M, L, XL, XXL', 'True to Size', 70.53, 20, 'Bangladesh', 'Yes', 151, 'Sheer Power Layering - Transparent clothing for cold-weather wardrobes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0029', 'Classic Fit Women''s Solid Tops', 'Classic Fit', 'Women', 'Clothing', 'Tops', 'Blue', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 97.74, 0, 'China', 'Yes', 24, 'Layering Foundation - Base layer for intelligent insulation approach');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0030', 'Sport Elite Women''s Printed Blouses', 'Sport Elite', 'Women', 'Clothing', 'Blouses', 'Black', 'Printed', 'Silk', 'XS, S, M, L, XL, XXL', 'Slim Fit', 77.15, 20, 'China', 'Yes', 149, 'Preppy Collar Details - Multiple visible layers as styling features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0031', 'Urban Thread Women''s Plaid Jeans', 'Urban Thread', 'Women', 'Clothing', 'Jeans', 'Olive', 'Plaid', 'Nylon', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 68.46, 15, 'China', 'Yes', 174, 'Sustainable Denim - Organic cotton and responsible production');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0032', 'Classic Fit Women''s Checked Trousers', 'Classic Fit', 'Women', 'Clothing', 'Trousers', 'Navy', 'Checked', 'Spandex', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 102.78, 0, 'China', 'Yes', 156, 'Tailoring 2.0 Revolution - Mix-and-match blazers with contrasting trousers');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0033', 'Sport Elite Women''s Striped Skirts', 'Sport Elite', 'Women', 'Clothing', 'Skirts', 'Blue', 'Striped', 'Denim', 'XS, S, M, L, XL, XXL', 'True to Size', 42.37, 10, 'Portugal', 'Yes', 196, 'Preppy Pleats - Heritage styling with contemporary edge');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0034', 'Urban Thread Women''s Floral Jackets', 'Urban Thread', 'Women', 'Clothing', 'Jackets', 'Red', 'Floral', 'Canvas', 'XS, S, M, L, XL, XXL', 'Slim Fit', 50.25, 0, 'China', 'No', 0, 'Luxe Puffer Evolution - Cinched waists and chic color palettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0035', 'Classic Fit Women''s Solid Sweaters', 'Classic Fit', 'Women', 'Clothing', 'Sweaters', 'Grey', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 113.05, 0, 'Portugal', 'Yes', 200, 'Chunky Knit Layering - Texture mixing with sheer elements');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0036', 'Urban Thread Women''s Heels', 'Urban Thread', 'Women', 'Shoes', 'Heels', 'Navy', 'Printed', 'Suede', '5, 6, 7, 8, 9, 10', 'Tailored Fit', 113.87, 0, 'Portugal', 'Yes', 154, 'Luxury Investment - Premium footwear for daily reliability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0037', 'Classic Fit Women''s Flats', 'Classic Fit', 'Women', 'Shoes', 'Flats', 'Green', 'Checked', 'Polyester', '5, 6, 7, 8, 9, 10', 'Tailored Fit', 125.29, 0, 'Portugal', 'Yes', 200, 'Ballet Flat Revival - Versatile elegance with comfort focus');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0038', 'Sport Elite Women''s Sneakers', 'Sport Elite', 'Women', 'Shoes', 'Sneakers', 'Grey', 'Striped', 'Spandex', '5, 6, 7, 8, 9, 10', 'Tailored Fit', 165.08, 0, 'Turkey', 'No', 0, 'Spring Color Blocking - Vibrant contrasting color statements');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0039', 'Urban Thread Women''s Boots', 'Urban Thread', 'Women', 'Shoes', 'Boots', 'Burgundy', 'Plaid', 'Cotton', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 52.96, 0, 'USA', 'Yes', 133, 'Western Evolution - Sleek fashion-forward silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0040', 'Classic Fit Women''s Sandals', 'Classic Fit', 'Women', 'Shoes', 'Sandals', 'White', 'Solid', 'Cotton', '5, 6, 7, 8, 9, 10', 'Regular Fit', 157.27, 0, 'Turkey', 'Yes', 135, 'Spring Transition Piece - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0041', 'Sport Elite Women''s Heels', 'Sport Elite', 'Women', 'Shoes', 'Heels', 'Yellow', 'Solid', 'Polyester', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 92.83, 0, 'Italy', 'Yes', 157, 'Over-the-Knee Statement - Commanding presence with practical warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0042', 'Urban Thread Women''s Flats', 'Urban Thread', 'Women', 'Shoes', 'Flats', 'Brown', 'Striped', 'Canvas', '5, 6, 7, 8, 9, 10', 'Slim Fit', 104.43, 10, 'Portugal', 'Yes', 10, 'Sustainable Footwear - Ethical production with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0043', 'Classic Fit Women''s Sneakers', 'Classic Fit', 'Women', 'Shoes', 'Sneakers', 'Navy', 'Floral', 'Spandex', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 96.27, 0, 'Bangladesh', 'Yes', 177, 'Fashion Sneaker Trend - Minimal trainers with cushioning details');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0044', 'Sport Elite Women''s Boots', 'Sport Elite', 'Women', 'Shoes', 'Boots', 'Olive', 'Striped', 'Spandex', '5, 6, 7, 8, 9, 10', 'Slim Fit', 133.94, 0, 'Italy', 'Yes', 68, 'Western Evolution - Sleek fashion-forward silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0045', 'Urban Thread Women''s Sandals', 'Urban Thread', 'Women', 'Shoes', 'Sandals', 'Burgundy', 'Solid', 'Polyester', '5, 6, 7, 8, 9, 10', 'True to Size', 91.43, 10, 'Turkey', 'Yes', 110, 'Cutout Detail Trend - Strategic design for spring 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0046', 'Classic Fit Women''s Heels', 'Classic Fit', 'Women', 'Shoes', 'Heels', 'Black', 'Solid', 'Leather', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 178.89, 30, 'Italy', 'Yes', 198, 'Over-the-Knee Statement - Commanding presence with practical warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0047', 'Sport Elite Women''s Flats', 'Sport Elite', 'Women', 'Shoes', 'Flats', 'Purple', 'Solid', 'Wool', '5, 6, 7, 8, 9, 10', 'Regular Fit', 142.08, 20, 'India', 'Yes', 27, 'Sustainable Footwear - Ethical production with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0048', 'Urban Thread Women''s Sneakers', 'Urban Thread', 'Women', 'Shoes', 'Sneakers', 'Beige', 'Floral', 'Denim', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 81.61, 20, 'Vietnam', 'No', 0, 'Fashion Sneaker Trend - Minimal trainers with cushioning details');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0049', 'Classic Fit Women''s Boots', 'Classic Fit', 'Women', 'Shoes', 'Boots', 'Purple', 'Solid', 'Nylon', '5, 6, 7, 8, 9, 10', 'True to Size', 115.23, 0, 'India', 'Yes', 128, 'Western Evolution - Sleek fashion-forward silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0050', 'Sport Elite Women''s Sandals', 'Sport Elite', 'Women', 'Shoes', 'Sandals', 'Burgundy', 'Striped', 'Linen', '5, 6, 7, 8, 9, 10', 'Regular Fit', 123.27, 0, 'Portugal', 'Yes', 149, 'Natural Materials - Hemp and organic textiles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0051', 'Urban Thread Women''s Heels', 'Urban Thread', 'Women', 'Shoes', 'Heels', 'Black', 'Floral', 'Nylon', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 76.26, 0, 'Portugal', 'Yes', 57, 'Over-the-Knee Statement - Commanding presence with practical warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0052', 'Classic Fit Women''s Flats', 'Classic Fit', 'Women', 'Shoes', 'Flats', 'White', 'Solid', 'Spandex', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 95.84, 0, 'Turkey', 'Yes', 73, 'Sustainable Footwear - Ethical production with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0053', 'Sport Elite Women''s Sneakers', 'Sport Elite', 'Women', 'Shoes', 'Sneakers', 'Yellow', 'Solid', 'Denim', '5, 6, 7, 8, 9, 10', 'Tailored Fit', 134.98, 0, 'Turkey', 'Yes', 71, 'Sustainable Materials - Organic cotton and recycled polyester');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0054', 'Urban Thread Women''s Boots', 'Urban Thread', 'Women', 'Shoes', 'Boots', 'Olive', 'Checked', 'Spandex', '5, 6, 7, 8, 9, 10', 'True to Size', 89.09, 0, 'Bangladesh', 'Yes', 185, 'Snakeprint Pattern - Grey-hued monochrome dressing innovation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0055', 'Classic Fit Women''s Sandals', 'Classic Fit', 'Women', 'Shoes', 'Sandals', 'White', 'Printed', 'Denim', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 84.43, 0, 'Portugal', 'Yes', 83, 'Spring Transition Piece - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0056', 'Sport Elite Women''s Heels', 'Sport Elite', 'Women', 'Shoes', 'Heels', 'Red', 'Printed', 'Wool', '5, 6, 7, 8, 9, 10', 'Regular Fit', 114.21, 15, 'Portugal', 'Yes', 79, 'Block Heel Trend - Comfortable elegance for extended wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0057', 'Urban Thread Women''s Flats', 'Urban Thread', 'Women', 'Shoes', 'Flats', 'Green', 'Floral', 'Spandex', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 91.17, 0, 'China', 'Yes', 128, 'Slouchy Sophistication - Soft materials for modern styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0058', 'Classic Fit Women''s Sneakers', 'Classic Fit', 'Women', 'Shoes', 'Sneakers', 'Pink', 'Floral', 'Polyester', '5, 6, 7, 8, 9, 10', 'Regular Fit', 100.17, 0, 'Italy', 'Yes', 123, 'Spring Color Blocking - Vibrant contrasting color statements');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0059', 'Sport Elite Women''s Boots', 'Sport Elite', 'Women', 'Shoes', 'Boots', 'White', 'Solid', 'Wool', '5, 6, 7, 8, 9, 10', 'Regular Fit', 108.83, 0, 'India', 'No', 0, 'Snakeprint Pattern - Grey-hued monochrome dressing innovation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0060', 'Urban Thread Women''s Sandals', 'Urban Thread', 'Women', 'Shoes', 'Sandals', 'Navy', 'Floral', 'Linen', '5, 6, 7, 8, 9, 10', 'True to Size', 69.34, 0, 'India', 'Yes', 146, 'Natural Materials - Hemp and organic textiles');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0061', 'Classic Fit Women''s Heels', 'Classic Fit', 'Women', 'Shoes', 'Heels', 'Burgundy', 'Checked', 'Spandex', '5, 6, 7, 8, 9, 10', 'Slim Fit', 129.84, 0, 'Turkey', 'Yes', 87, 'Luxury Investment - Premium footwear for daily reliability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0062', 'Sport Elite Women''s Flats', 'Sport Elite', 'Women', 'Shoes', 'Flats', 'Burgundy', 'Floral', 'Leather', '5, 6, 7, 8, 9, 10', 'Slim Fit', 128.33, 0, 'India', 'Yes', 180, 'Slouchy Sophistication - Soft materials for modern styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0063', 'Urban Thread Women''s Sneakers', 'Urban Thread', 'Women', 'Shoes', 'Sneakers', 'Brown', 'Plaid', 'Wool', '5, 6, 7, 8, 9, 10', 'True to Size', 101.88, 0, 'Portugal', 'Yes', 174, 'Fashion Sneaker Trend - Minimal trainers with cushioning details');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0064', 'Classic Fit Women''s Boots', 'Classic Fit', 'Women', 'Shoes', 'Boots', 'Pink', 'Floral', 'Leather', '5, 6, 7, 8, 9, 10', 'Regular Fit', 150.96, 0, 'India', 'Yes', 26, 'Slouchy Boot Dominance - Scrunch and gather around calves styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0065', 'Sport Elite Women''s Sandals', 'Sport Elite', 'Women', 'Shoes', 'Sandals', 'Red', 'Floral', 'Silk', '5, 6, 7, 8, 9, 10', 'Tailored Fit', 72.03, 25, 'Italy', 'Yes', 180, 'Spring Transition Piece - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0066', 'Urban Thread Women''s Heels', 'Urban Thread', 'Women', 'Shoes', 'Heels', 'Navy', 'Plaid', 'Nylon', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 127.06, 0, 'Italy', 'Yes', 111, 'Luxury Investment - Premium footwear for daily reliability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0067', 'Classic Fit Women''s Flats', 'Classic Fit', 'Women', 'Shoes', 'Flats', 'Black', 'Checked', 'Wool', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 180.78, 0, 'Italy', 'No', 0, 'Sustainable Footwear - Ethical production with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0068', 'Sport Elite Women''s Sneakers', 'Sport Elite', 'Women', 'Shoes', 'Sneakers', 'Olive', 'Plaid', 'Leather', '5, 6, 7, 8, 9, 10', 'Athletic Fit', 73.43, 30, 'Turkey', 'Yes', 16, 'Sustainable Materials - Organic cotton and recycled polyester');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0069', 'Urban Thread Women''s Boots', 'Urban Thread', 'Women', 'Shoes', 'Boots', 'Brown', 'Plaid', 'Silk', '5, 6, 7, 8, 9, 10', 'Relaxed Fit', 46.78, 0, 'Bangladesh', 'Yes', 73, 'Western Evolution - Sleek fashion-forward silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0070', 'Classic Fit Women''s Sandals', 'Classic Fit', 'Women', 'Shoes', 'Sandals', 'Beige', 'Floral', 'Polyester', '5, 6, 7, 8, 9, 10', 'Regular Fit', 149.08, 0, 'Italy', 'Yes', 146, 'Spring Transition Piece - Lightweight sustainable materials');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0071', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'Burgundy', 'Plaid', 'Silk', 'XS, S, M, L, XL, XXL', 'True to Size', 70.61, 15, 'Italy', 'Yes', 51, 'Sustainable Materials - Ethical leather production practices');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0072', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'Red', 'Striped', 'Linen', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 36.32, 0, 'Turkey', 'Yes', 25, 'Chunky Knit Statement - Worn as wraps for elevated styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0073', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Grey', 'Solid', 'Canvas', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 70.79, 0, 'Vietnam', 'Yes', 128, 'Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0074', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Black', 'Geometric', 'Polyester', 'XS, S, M, L, XL, XXL', 'Regular Fit', 64.31, 0, 'Italy', 'No', 0, 'Spring Accessory Essential - UV protection with style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0075', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Black', 'Floral', 'Cotton', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 99.11, 0, 'Vietnam', 'Yes', 96, 'Over-Coat Styling - Belts over oversized coats and dresses');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0076', 'Sport Elite Women''s Watches', 'Sport Elite', 'Women', 'Accessories', 'Watches', 'White', 'Solid', 'Linen', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 73.58, 0, 'Italy', 'Yes', 25, 'Timeless Investment - Classic pieces beyond seasonal trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0077', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'Green', 'Geometric', 'Cotton', 'XS, S, M, L, XL, XXL', 'True to Size', 78.11, 0, 'USA', 'Yes', 12, 'Squishy Leather Luxury - Buttery-soft tactile designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0078', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'Beige', 'Printed', 'Leather', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 78.46, 20, 'Bangladesh', 'Yes', 179, 'Chunky Knit Statement - Worn as wraps for elevated styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0079', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Beige', 'Plaid', 'Spandex', 'XS, S, M, L, XL, XXL', 'Slim Fit', 37.88, 0, 'Vietnam', 'Yes', 16, 'Chunky Chain Statement - Sculptural accessories for winter impact');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0080', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Purple', 'Checked', 'Wool', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 71.62, 30, 'Portugal', 'No', 0, 'Sustainable Eyewear - Eco-conscious materials and production');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0081', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Beige', 'Striped', 'Cotton', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 87.36, 0, 'Vietnam', 'Yes', 151, 'Over-Coat Styling - Belts over oversized coats and dresses');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0082', 'Sport Elite Women''s Watches', 'Sport Elite', 'Women', 'Accessories', 'Watches', 'Burgundy', 'Geometric', 'Polyester', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 65.35, 10, 'Portugal', 'Yes', 189, 'Timeless Investment - Classic pieces beyond seasonal trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0083', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'Burgundy', 'Striped', 'Wool', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 65.08, 0, 'China', 'Yes', 175, 'Squishy Leather Luxury - Buttery-soft tactile designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0084', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'White', 'Striped', 'Suede', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 70.58, 0, 'USA', 'Yes', 199, 'Scoat Hybrid Trend - Scarf-coat intuitive silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0085', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Navy', 'Striped', 'Nylon', 'XS, S, M, L, XL, XXL', 'Slim Fit', 88.21, 30, 'Bangladesh', 'Yes', 152, 'Metal Mixing Revolution - Gold, silver, rose gold combinations');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0086', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Red', 'Floral', 'Silk', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 44.84, 0, 'Portugal', 'Yes', 40, 'Oversized Frame Trend - Statement pieces for bold self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0087', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Charcoal', 'Printed', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 91.58, 0, 'China', 'Yes', 190, 'Statement Belt Styling - Ultimate tool for feminine silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0088', 'Sport Elite Women''s Watches', 'Sport Elite', 'Women', 'Accessories', 'Watches', 'Green', 'Checked', 'Spandex', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 23.58, 0, 'India', 'Yes', 18, 'Metal Mixing Freedom - Combining metals for personalized aesthetics');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0089', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'Burgundy', 'Printed', 'Linen', 'XS, S, M, L, XL, XXL', 'True to Size', 63.64, 0, 'Vietnam', 'Yes', 163, 'Comfort-Focused Luxury - Touchable designs over rigid structures');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0090', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'Navy', 'Geometric', 'Suede', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 50.96, 0, 'India', 'No', 0, 'Scoat Hybrid Trend - Scarf-coat intuitive silhouettes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0091', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Black', 'Printed', 'Silk', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 39.68, 0, 'India', 'Yes', 70, 'Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0092', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Blue', 'Striped', 'Spandex', 'XS, S, M, L, XL, XXL', 'Regular Fit', 32.74, 20, 'Turkey', 'No', 0, 'Oversized Frame Trend - Statement pieces for bold self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0093', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Green', 'Printed', 'Nylon', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 48.35, 30, 'USA', 'Yes', 19, 'Multiple Belt Layering - Wear simultaneously for visual impact');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0094', 'Sport Elite Women''s Watches', 'Sport Elite', 'Women', 'Accessories', 'Watches', 'Beige', 'Floral', 'Polyester', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 55.26, 25, 'China', 'Yes', 180, 'Timeless Investment - Classic pieces beyond seasonal trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0095', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'Olive', 'Checked', 'Canvas', 'XS, S, M, L, XL, XXL', 'Regular Fit', 33.4, 0, 'Bangladesh', 'Yes', 8, 'Sustainable Materials - Ethical leather production practices');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0096', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'Red', 'Striped', 'Nylon', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 43.26, 0, 'Bangladesh', 'Yes', 73, 'Chunky Knit Statement - Worn as wraps for elevated styling');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0097', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Pink', 'Geometric', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 78.1, 0, 'China', 'Yes', 25, 'Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0098', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Navy', 'Plaid', 'Linen', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 22.79, 10, 'Portugal', 'Yes', 96, 'Oversized Frame Trend - Statement pieces for bold self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0099', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Black', 'Geometric', 'Suede', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 33.19, 10, 'Turkey', 'Yes', 18, 'Over-Coat Styling - Belts over oversized coats and dresses');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0100', 'Sport Elite Women''s Watches', 'Sport Elite', 'Women', 'Accessories', 'Watches', 'Pink', 'Geometric', 'Polyester', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 41.87, 0, 'Portugal', 'Yes', 137, 'Timeless Investment - Classic pieces beyond seasonal trends');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0101', 'Urban Thread Women''s Handbags', 'Urban Thread', 'Women', 'Accessories', 'Handbags', 'White', 'Floral', 'Linen', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 32.93, 25, 'Portugal', 'Yes', 179, 'Sustainable Materials - Ethical leather production practices');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0102', 'Classic Fit Women''s Scarves', 'Classic Fit', 'Women', 'Accessories', 'Scarves', 'Navy', 'Striped', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 121.74, 10, 'Turkey', 'Yes', 63, 'Layering Accessory - Strategic warmth and style enhancement');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0103', 'Sport Elite Women''s Jewelry', 'Sport Elite', 'Women', 'Accessories', 'Jewelry', 'Pink', 'Printed', 'Denim', 'XS, S, M, L, XL, XXL', 'Slim Fit', 25.45, 10, 'India', 'Yes', 187, 'Modern Pearl Reinvention - Avant-garde pairings and unexpected shapes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0104', 'Urban Thread Women''s Sunglasses', 'Urban Thread', 'Women', 'Accessories', 'Sunglasses', 'Green', 'Checked', 'Suede', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 77.41, 0, 'China', 'Yes', 117, 'Oversized Frame Trend - Statement pieces for bold self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('WOM-0105', 'Classic Fit Women''s Belts', 'Classic Fit', 'Women', 'Accessories', 'Belts', 'Charcoal', 'Striped', 'Polyester', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 48.96, 0, 'China', 'Yes', 133, 'Over-Coat Styling - Belts over oversized coats and dresses');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0001', 'Urban Thread Children''s Striped T-Shirts', 'Urban Thread', 'Children', 'Clothing', 'T-Shirts', 'Brown', 'Striped', 'Spandex', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 71.62, 30, 'Turkey', 'Yes', 54, 'Dopamine Dressing - Bright colors for energy and self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0002', 'Classic Fit Children''s Solid Shirts', 'Classic Fit', 'Children', 'Clothing', 'Shirts', 'Pink', 'Solid', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 48.38, 0, 'USA', 'Yes', 26, 'Bold Primary Colors - Confident sophistication in kids fashion');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0003', 'Sport Elite Children''s Solid Jeans', 'Sport Elite', 'Children', 'Clothing', 'Jeans', 'Olive', 'Solid', 'Suede', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 116.14, 0, 'Italy', 'Yes', 172, 'Adjustable Waist Comfort - Growth-friendly functional designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0004', 'Urban Thread Children''s Printed Dresses', 'Urban Thread', 'Children', 'Clothing', 'Dresses', 'Black', 'Printed', 'Linen', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 36.23, 0, 'Portugal', 'Yes', 94, 'Oversized Floral Prints - Bright, playful patterns for winter 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0005', 'Classic Fit Children''s Striped Shorts', 'Classic Fit', 'Children', 'Clothing', 'Shorts', 'Burgundy', 'Striped', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 113.22, 25, 'China', 'Yes', 191, 'Athleisure Comfort - Relaxed fits for active play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0006', 'Sport Elite Children''s Printed Jackets', 'Sport Elite', 'Children', 'Clothing', 'Jackets', 'Brown', 'Printed', 'Wool', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Athletic Fit', 114.12, 0, 'Italy', 'Yes', 92, 'Puffer Innovation - Water-resistant materials with adjustable hoods');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0007', 'Urban Thread Children''s Floral Sweaters', 'Urban Thread', 'Children', 'Clothing', 'Sweaters', 'Yellow', 'Floral', 'Wool', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 38.55, 20, 'Vietnam', 'Yes', 120, 'Cable-Knit Prep - Classic collegiate styling with playful edge');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0008', 'Classic Fit Children''s Striped Hoodies', 'Classic Fit', 'Children', 'Clothing', 'Hoodies', 'Pink', 'Striped', 'Spandex', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Athletic Fit', 69.42, 0, 'India', 'No', 0, 'Three-Layer System - Middle layer for winter temperature regulation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0009', 'Sport Elite Children''s Plaid Pants', 'Sport Elite', 'Children', 'Clothing', 'Pants', 'Navy', 'Plaid', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 97.75, 20, 'China', 'Yes', 130, 'Smart Layering Base - Foundation for winter three-layer system');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0010', 'Urban Thread Children''s Plaid T-Shirts', 'Urban Thread', 'Children', 'Clothing', 'T-Shirts', 'Pink', 'Plaid', 'Suede', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 54.53, 0, 'Portugal', 'Yes', 116, 'Dopamine Dressing - Bright colors for energy and self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0011', 'Classic Fit Children''s Floral Shirts', 'Classic Fit', 'Children', 'Clothing', 'Shirts', 'Beige', 'Floral', 'Denim', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 99.16, 0, 'Italy', 'Yes', 58, 'Bold Primary Colors - Confident sophistication in kids fashion');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0012', 'Sport Elite Children''s Floral Jeans', 'Sport Elite', 'Children', 'Clothing', 'Jeans', 'Beige', 'Floral', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 95.68, 25, 'Vietnam', 'Yes', 134, 'Adjustable Waist Comfort - Growth-friendly functional designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0013', 'Urban Thread Children''s Solid Dresses', 'Urban Thread', 'Children', 'Clothing', 'Dresses', 'Beige', 'Solid', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 59.3, 25, 'Vietnam', 'Yes', 59, 'Oversized Floral Prints - Bright, playful patterns for winter 2025');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0014', 'Classic Fit Children''s Plaid Shorts', 'Classic Fit', 'Children', 'Clothing', 'Shorts', 'Blue', 'Plaid', 'Suede', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 119.85, 0, 'China', 'No', 0, 'Spring Color Energy - Neon green and electric blue accents');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0015', 'Sport Elite Children''s Checked Jackets', 'Sport Elite', 'Children', 'Clothing', 'Jackets', 'Black', 'Checked', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 55.33, 30, 'Italy', 'Yes', 126, 'Oversized Outerwear Dominance - Growth-friendly comfort and style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0016', 'Urban Thread Children''s Checked Sweaters', 'Urban Thread', 'Children', 'Clothing', 'Sweaters', 'Beige', 'Checked', 'Linen', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 44.3, 0, 'Turkey', 'Yes', 159, 'Cable-Knit Prep - Classic collegiate styling with playful edge');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0017', 'Classic Fit Children''s Striped Hoodies', 'Classic Fit', 'Children', 'Clothing', 'Hoodies', 'Purple', 'Striped', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Relaxed Fit', 112.8, 25, 'Vietnam', 'Yes', 198, 'Oversized Relaxed Fit - Comfort during active play prioritized');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0018', 'Sport Elite Children''s Geometric Pants', 'Sport Elite', 'Children', 'Clothing', 'Pants', 'Blue', 'Geometric', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Tailored Fit', 114.86, 0, 'China', 'Yes', 61, 'Smart Layering Base - Foundation for winter three-layer system');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0019', 'Urban Thread Children''s Striped T-Shirts', 'Urban Thread', 'Children', 'Clothing', 'T-Shirts', 'Olive', 'Striped', 'Polyester', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'True to Size', 68.94, 0, 'Vietnam', 'No', 0, 'Gender-Neutral Evolution - Unisex designs with neutral tones');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0020', 'Classic Fit Children''s Solid Shirts', 'Classic Fit', 'Children', 'Clothing', 'Shirts', 'Blue', 'Solid', 'Denim', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Relaxed Fit', 113.7, 0, 'Turkey', 'Yes', 110, 'Collegiate Prep Styling - Crisp polos with retro tennis stripes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0021', 'Sport Elite Children''s Geometric Jeans', 'Sport Elite', 'Children', 'Clothing', 'Jeans', 'Pink', 'Geometric', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 117.67, 0, 'Vietnam', 'No', 0, 'Sustainable Kids Denim - Organic cotton for eco-conscious families');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0022', 'Urban Thread Children''s Solid Dresses', 'Urban Thread', 'Children', 'Clothing', 'Dresses', 'Olive', 'Solid', 'Linen', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'True to Size', 67.22, 0, 'Turkey', 'Yes', 42, 'Pastel Softness - Muted tones creating calming visual effects');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0023', 'Classic Fit Children''s Checked Shorts', 'Classic Fit', 'Children', 'Clothing', 'Shorts', 'Green', 'Checked', 'Silk', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Relaxed Fit', 68.88, 10, 'Vietnam', 'Yes', 100, 'Spring Color Energy - Neon green and electric blue accents');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0024', 'Sport Elite Children''s Checked Jackets', 'Sport Elite', 'Children', 'Clothing', 'Jackets', 'Pink', 'Checked', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 57.69, 0, 'China', 'No', 0, 'Cherry Red Statement - Bold confidence in winter accessories');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0025', 'Urban Thread Children''s Checked Sweaters', 'Urban Thread', 'Children', 'Clothing', 'Sweaters', 'Grey', 'Checked', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 65.6, 0, 'Turkey', 'Yes', 184, 'Mid-Layer Insulation - Fleece for lightweight breathable warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0026', 'Classic Fit Children''s Geometric Hoodies', 'Classic Fit', 'Children', 'Clothing', 'Hoodies', 'Beige', 'Geometric', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 47.2, 0, 'India', 'Yes', 179, 'Three-Layer System - Middle layer for winter temperature regulation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0027', 'Sport Elite Children''s Floral Pants', 'Sport Elite', 'Children', 'Clothing', 'Pants', 'Navy', 'Floral', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 44.73, 0, 'Portugal', 'Yes', 20, 'Smart Layering Base - Foundation for winter three-layer system');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0028', 'Urban Thread Children''s Striped T-Shirts', 'Urban Thread', 'Children', 'Clothing', 'T-Shirts', 'Blue', 'Striped', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 65.84, 0, 'Bangladesh', 'Yes', 158, 'Dopamine Dressing - Bright colors for energy and self-expression');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0029', 'Classic Fit Children''s Floral Shirts', 'Classic Fit', 'Children', 'Clothing', 'Shirts', 'Charcoal', 'Floral', 'Cotton', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'True to Size', 114.89, 0, 'Vietnam', 'Yes', 21, 'Collegiate Prep Styling - Crisp polos with retro tennis stripes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0030', 'Sport Elite Children''s Striped Jeans', 'Sport Elite', 'Children', 'Clothing', 'Jeans', 'White', 'Striped', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 117.89, 0, 'Turkey', 'Yes', 158, 'Gender-Neutral Styling - Classic patterns for extended wearability');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0031', 'Urban Thread Children''s Solid Dresses', 'Urban Thread', 'Children', 'Clothing', 'Dresses', 'Red', 'Solid', 'Nylon', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'True to Size', 67.36, 30, 'China', 'Yes', 81, 'Pastel Softness - Muted tones creating calming visual effects');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0032', 'Classic Fit Children''s Plaid Shorts', 'Classic Fit', 'Children', 'Clothing', 'Shorts', 'Brown', 'Plaid', 'Wool', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 103.34, 20, 'Vietnam', 'Yes', 169, 'Sustainable Materials - Organic fabrics for kids'' wardrobes');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0033', 'Sport Elite Children''s Solid Jackets', 'Sport Elite', 'Children', 'Clothing', 'Jackets', 'White', 'Solid', 'Polyester', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 82.78, 0, 'Italy', 'Yes', 178, 'Oversized Outerwear Dominance - Growth-friendly comfort and style');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0034', 'Urban Thread Children''s Striped Sweaters', 'Urban Thread', 'Children', 'Clothing', 'Sweaters', 'Green', 'Striped', 'Leather', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Slim Fit', 74.54, 30, 'Vietnam', 'No', 0, 'Mid-Layer Insulation - Fleece for lightweight breathable warmth');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0035', 'Classic Fit Children''s Striped Hoodies', 'Classic Fit', 'Children', 'Clothing', 'Hoodies', 'Navy', 'Striped', 'Linen', '2-3Y, 4-5Y, 6-7Y, 8-9Y, 10-11Y, 12-13Y', 'Regular Fit', 71.78, 0, 'Vietnam', 'No', 0, 'Three-Layer System - Middle layer for winter temperature regulation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0036', 'Urban Thread Children''s Sneakers', 'Urban Thread', 'Children', 'Shoes', 'Sneakers', 'Charcoal', 'Floral', 'Leather', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 62.05, 25, 'USA', 'Yes', 158, 'Flexible Soles - Cushioned insoles for active play support');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0037', 'Classic Fit Children''s School Shoes', 'Classic Fit', 'Children', 'Shoes', 'School Shoes', 'Green', 'Geometric', 'Silk', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 83.67, 0, 'USA', 'Yes', 14, 'Winter Functionality - Insulation for cold weather protection');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0038', 'Sport Elite Children''s Sandals', 'Sport Elite', 'Children', 'Shoes', 'Sandals', 'Brown', 'Solid', 'Nylon', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 130.52, 0, 'Vietnam', 'Yes', 64, 'Closed-Toe Safety - Playground-appropriate protective features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0039', 'Urban Thread Children''s Boots', 'Urban Thread', 'Children', 'Shoes', 'Boots', 'Brown', 'Solid', 'Wool', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Regular Fit', 56.68, 0, 'India', 'No', 0, 'Waterproof Construction - Sealed seams for snow play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0040', 'Classic Fit Children''s Sneakers', 'Classic Fit', 'Children', 'Shoes', 'Sneakers', 'Charcoal', 'Striped', 'Cotton', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Athletic Fit', 95.2, 0, 'Bangladesh', 'Yes', 95, 'Flexible Soles - Cushioned insoles for active play support');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0041', 'Sport Elite Children''s School Shoes', 'Sport Elite', 'Children', 'Shoes', 'School Shoes', 'Olive', 'Plaid', 'Silk', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Tailored Fit', 132.45, 0, 'Vietnam', 'Yes', 197, 'Adjustable Straps - Secure fit with growth accommodation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0042', 'Urban Thread Children''s Sandals', 'Urban Thread', 'Children', 'Shoes', 'Sandals', 'Purple', 'Geometric', 'Wool', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 45.57, 0, 'India', 'Yes', 197, 'Closed-Toe Safety - Playground-appropriate protective features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0043', 'Classic Fit Children''s Boots', 'Classic Fit', 'Children', 'Shoes', 'Boots', 'Navy', 'Floral', 'Linen', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Tailored Fit', 188.22, 0, 'Italy', 'No', 0, 'Waterproof Construction - Sealed seams for snow play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0044', 'Sport Elite Children''s Sneakers', 'Sport Elite', 'Children', 'Shoes', 'Sneakers', 'Brown', 'Geometric', 'Polyester', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Athletic Fit', 94.82, 0, 'USA', 'Yes', 193, 'Hook-and-Loop Closures - Easy on/off for independent dressing');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0045', 'Urban Thread Children''s School Shoes', 'Urban Thread', 'Children', 'Shoes', 'School Shoes', 'Pink', 'Geometric', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 121.32, 10, 'Bangladesh', 'Yes', 44, 'Winter Functionality - Insulation for cold weather protection');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0046', 'Classic Fit Children''s Sandals', 'Classic Fit', 'Children', 'Shoes', 'Sandals', 'Grey', 'Solid', 'Wool', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 115.52, 0, 'Bangladesh', 'Yes', 113, 'Closed-Toe Safety - Playground-appropriate protective features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0047', 'Sport Elite Children''s Boots', 'Sport Elite', 'Children', 'Shoes', 'Boots', 'Beige', 'Plaid', 'Spandex', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 72.24, 0, 'Portugal', 'Yes', 11, 'Slip-Resistant Soles - Safety on icy surfaces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0048', 'Urban Thread Children''s Sneakers', 'Urban Thread', 'Children', 'Shoes', 'Sneakers', 'Navy', 'Plaid', 'Leather', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Tailored Fit', 63.98, 0, 'India', 'Yes', 134, 'Hook-and-Loop Closures - Easy on/off for independent dressing');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0049', 'Classic Fit Children''s School Shoes', 'Classic Fit', 'Children', 'Shoes', 'School Shoes', 'Grey', 'Striped', 'Denim', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 88.31, 0, 'China', 'Yes', 183, 'Winter Functionality - Insulation for cold weather protection');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0050', 'Sport Elite Children''s Sandals', 'Sport Elite', 'Children', 'Shoes', 'Sandals', 'Pink', 'Plaid', 'Leather', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 127.93, 0, 'Bangladesh', 'Yes', 43, 'Spring Transition Footwear - Lightweight breathable designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0051', 'Urban Thread Children''s Boots', 'Urban Thread', 'Children', 'Shoes', 'Boots', 'Yellow', 'Checked', 'Spandex', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Athletic Fit', 52.2, 0, 'Italy', 'No', 0, 'Slip-Resistant Soles - Safety on icy surfaces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0052', 'Classic Fit Children''s Sneakers', 'Classic Fit', 'Children', 'Shoes', 'Sneakers', 'Yellow', 'Printed', 'Leather', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 187.57, 0, 'Vietnam', 'Yes', 159, 'Reinforced Toe Caps - Durability for playground activities');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0053', 'Sport Elite Children''s School Shoes', 'Sport Elite', 'Children', 'Shoes', 'School Shoes', 'Beige', 'Plaid', 'Silk', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 86.93, 0, 'Portugal', 'Yes', 151, 'Adjustable Straps - Secure fit with growth accommodation');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0054', 'Urban Thread Children''s Sandals', 'Urban Thread', 'Children', 'Shoes', 'Sandals', 'Charcoal', 'Plaid', 'Silk', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 98.1, 0, 'Bangladesh', 'No', 0, 'Closed-Toe Safety - Playground-appropriate protective features');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0055', 'Classic Fit Children''s Boots', 'Classic Fit', 'Children', 'Shoes', 'Boots', 'Grey', 'Plaid', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 105.97, 0, 'India', 'Yes', 36, 'Waterproof Construction - Sealed seams for snow play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0056', 'Sport Elite Children''s Sneakers', 'Sport Elite', 'Children', 'Shoes', 'Sneakers', 'Purple', 'Striped', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 67.4, 0, 'China', 'No', 0, 'Hook-and-Loop Closures - Easy on/off for independent dressing');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0057', 'Urban Thread Children''s School Shoes', 'Urban Thread', 'Children', 'Shoes', 'School Shoes', 'Red', 'Solid', 'Spandex', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Regular Fit', 116.39, 0, 'Bangladesh', 'Yes', 198, 'Scuff-Resistant Uppers - Practical durability for daily wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0058', 'Classic Fit Children''s Sandals', 'Classic Fit', 'Children', 'Shoes', 'Sandals', 'Brown', 'Floral', 'Denim', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 173.7, 15, 'Vietnam', 'Yes', 95, 'Spring Transition Footwear - Lightweight breathable designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0059', 'Sport Elite Children''s Boots', 'Sport Elite', 'Children', 'Shoes', 'Boots', 'Green', 'Floral', 'Polyester', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Slim Fit', 167.16, 0, 'Turkey', 'Yes', 111, 'Waterproof Construction - Sealed seams for snow play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0060', 'Urban Thread Children''s Sneakers', 'Urban Thread', 'Children', 'Shoes', 'Sneakers', 'Navy', 'Solid', 'Linen', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Regular Fit', 48.24, 0, 'Vietnam', 'Yes', 154, 'Reinforced Toe Caps - Durability for playground activities');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0061', 'Classic Fit Children''s School Shoes', 'Classic Fit', 'Children', 'Shoes', 'School Shoes', 'Olive', 'Striped', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Athletic Fit', 73.1, 10, 'India', 'Yes', 28, 'Winter Functionality - Insulation for cold weather protection');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0062', 'Sport Elite Children''s Sandals', 'Sport Elite', 'Children', 'Shoes', 'Sandals', 'Navy', 'Solid', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Regular Fit', 126.75, 0, 'China', 'Yes', 87, 'Spring Transition Footwear - Lightweight breathable designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0063', 'Urban Thread Children''s Boots', 'Urban Thread', 'Children', 'Shoes', 'Boots', 'Beige', 'Solid', 'Spandex', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Regular Fit', 92.98, 0, 'Portugal', 'Yes', 159, 'Insulated Linings - Temperature ratings for climate needs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0064', 'Classic Fit Children''s Sneakers', 'Classic Fit', 'Children', 'Shoes', 'Sneakers', 'Blue', 'Checked', 'Canvas', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 158.56, 0, 'Bangladesh', 'Yes', 187, 'Reinforced Toe Caps - Durability for playground activities');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0065', 'Sport Elite Children''s School Shoes', 'Sport Elite', 'Children', 'Shoes', 'School Shoes', 'Beige', 'Striped', 'Polyester', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 58.32, 20, 'USA', 'Yes', 13, 'Winter Functionality - Insulation for cold weather protection');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0066', 'Urban Thread Children''s Sandals', 'Urban Thread', 'Children', 'Shoes', 'Sandals', 'Red', 'Solid', 'Nylon', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 60.64, 10, 'Italy', 'Yes', 170, 'Spring Transition Footwear - Lightweight breathable designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0067', 'Classic Fit Children''s Boots', 'Classic Fit', 'Children', 'Shoes', 'Boots', 'Navy', 'Plaid', 'Linen', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Tailored Fit', 164.53, 10, 'Italy', 'Yes', 11, 'Waterproof Construction - Sealed seams for snow play');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0068', 'Sport Elite Children''s Sneakers', 'Sport Elite', 'Children', 'Shoes', 'Sneakers', 'Green', 'Floral', 'Spandex', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'Relaxed Fit', 136.21, 0, 'Italy', 'Yes', 45, 'Reinforced Toe Caps - Durability for playground activities');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0069', 'Urban Thread Children''s School Shoes', 'Urban Thread', 'Children', 'Shoes', 'School Shoes', 'Brown', 'Solid', 'Polyester', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 123.33, 0, 'USA', 'Yes', 200, 'Scuff-Resistant Uppers - Practical durability for daily wear');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0070', 'Classic Fit Children''s Sandals', 'Classic Fit', 'Children', 'Shoes', 'Sandals', 'Yellow', 'Checked', 'Nylon', '10, 11, 12, 13, 1, 2, 3, 4, 5', 'True to Size', 95.76, 0, 'Vietnam', 'Yes', 114, 'Spring Transition Footwear - Lightweight breathable designs');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0071', 'Urban Thread Children''s Backpacks', 'Urban Thread', 'Children', 'Accessories', 'Backpacks', 'Beige', 'Checked', 'Canvas', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 39.83, 10, 'Italy', 'Yes', 165, 'Sustainable Materials - Eco-conscious production for kids'' items');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0072', 'Classic Fit Children''s Caps', 'Classic Fit', 'Children', 'Accessories', 'Caps', 'Burgundy', 'Striped', 'Polyester', 'XS, S, M, L, XL, XXL', 'True to Size', 36.71, 0, 'Turkey', 'Yes', 118, 'Trapper Hat Versatility - Adjustable ear flaps for temperature');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0073', 'Sport Elite Children''s Socks', 'Sport Elite', 'Children', 'Accessories', 'Socks', 'Beige', 'Solid', 'Wool', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 41.12, 0, 'Turkey', 'Yes', 38, 'Merino Wool Base Layer - Moisture-wicking for active children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0074', 'Urban Thread Children''s Scarves', 'Urban Thread', 'Children', 'Accessories', 'Scarves', 'Grey', 'Plaid', 'Suede', 'XS, S, M, L, XL, XXL', 'Slim Fit', 27.59, 0, 'Portugal', 'Yes', 198, 'Soft Fleece Warmth - Comfortable against children''s skin');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0075', 'Classic Fit Children''s Belts', 'Classic Fit', 'Children', 'Accessories', 'Belts', 'Red', 'Floral', 'Denim', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 56.94, 0, 'USA', 'Yes', 148, 'Simple Buckle Design - Easy for children to manage independently');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0076', 'Sport Elite Children''s Backpacks', 'Sport Elite', 'Children', 'Accessories', 'Backpacks', 'Black', 'Printed', 'Denim', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 64.55, 10, 'Turkey', 'Yes', 116, 'Functional Design - Padded straps and pocket layout for school');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0077', 'Urban Thread Children''s Caps', 'Urban Thread', 'Children', 'Accessories', 'Caps', 'Brown', 'Floral', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 24.64, 0, 'Italy', 'Yes', 100, 'Gender-Neutral Styling - Classic patterns for all children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0078', 'Classic Fit Children''s Socks', 'Classic Fit', 'Children', 'Accessories', 'Socks', 'Brown', 'Solid', 'Polyester', 'XS, S, M, L, XL, XXL', 'True to Size', 85.77, 0, 'Italy', 'Yes', 174, 'Temperature Regulation - Natural fiber benefits');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0079', 'Sport Elite Children''s Scarves', 'Sport Elite', 'Children', 'Accessories', 'Scarves', 'Green', 'Floral', 'Suede', 'XS, S, M, L, XL, XXL', 'True to Size', 40.25, 25, 'China', 'Yes', 170, 'Snood Protection - Eliminates strangulation hazards');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0080', 'Urban Thread Children''s Belts', 'Urban Thread', 'Children', 'Accessories', 'Belts', 'Burgundy', 'Solid', 'Silk', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 21.38, 0, 'Portugal', 'Yes', 106, 'Simple Buckle Design - Easy for children to manage independently');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0081', 'Classic Fit Children''s Backpacks', 'Classic Fit', 'Children', 'Accessories', 'Backpacks', 'Grey', 'Geometric', 'Nylon', 'XS, S, M, L, XL, XXL', 'Slim Fit', 53.31, 0, 'Portugal', 'Yes', 97, 'Sustainable Materials - Eco-conscious production for kids'' items');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0082', 'Sport Elite Children''s Caps', 'Sport Elite', 'Children', 'Accessories', 'Caps', 'Blue', 'Striped', 'Suede', 'XS, S, M, L, XL, XXL', 'True to Size', 69.31, 0, 'Italy', 'Yes', 68, 'Winter Head Protection - Covering ears to prevent frostbite');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0083', 'Urban Thread Children''s Socks', 'Urban Thread', 'Children', 'Accessories', 'Socks', 'Burgundy', 'Geometric', 'Silk', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 76.82, 0, 'USA', 'Yes', 71, 'Merino Wool Base Layer - Moisture-wicking for active children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0084', 'Classic Fit Children''s Scarves', 'Classic Fit', 'Children', 'Accessories', 'Scarves', 'Blue', 'Printed', 'Polyester', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 83.68, 20, 'India', 'Yes', 139, 'Neck Warmer Safety - Safer alternative to traditional scarves');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0085', 'Sport Elite Children''s Belts', 'Sport Elite', 'Children', 'Accessories', 'Belts', 'Charcoal', 'Striped', 'Linen', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 80.94, 0, 'India', 'Yes', 91, 'Adjustable Sizing - Growth accommodation in accessories');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0086', 'Urban Thread Children''s Backpacks', 'Urban Thread', 'Children', 'Accessories', 'Backpacks', 'Pink', 'Checked', 'Polyester', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 59.82, 0, 'Bangladesh', 'No', 0, 'Functional Design - Padded straps and pocket layout for school');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0087', 'Classic Fit Children''s Caps', 'Classic Fit', 'Children', 'Accessories', 'Caps', 'Navy', 'Striped', 'Silk', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 70.93, 0, 'Bangladesh', 'Yes', 172, 'Trapper Hat Versatility - Adjustable ear flaps for temperature');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0088', 'Sport Elite Children''s Socks', 'Sport Elite', 'Children', 'Accessories', 'Socks', 'Brown', 'Striped', 'Spandex', 'XS, S, M, L, XL, XXL', 'Slim Fit', 56.08, 10, 'China', 'Yes', 39, 'Merino Wool Base Layer - Moisture-wicking for active children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0089', 'Urban Thread Children''s Scarves', 'Urban Thread', 'Children', 'Accessories', 'Scarves', 'Beige', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 41.65, 0, 'Portugal', 'No', 0, 'Soft Fleece Warmth - Comfortable against children''s skin');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0090', 'Classic Fit Children''s Belts', 'Classic Fit', 'Children', 'Accessories', 'Belts', 'Red', 'Checked', 'Leather', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 106.14, 15, 'Italy', 'Yes', 189, 'Simple Buckle Design - Easy for children to manage independently');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0091', 'Sport Elite Children''s Backpacks', 'Sport Elite', 'Children', 'Accessories', 'Backpacks', 'Green', 'Floral', 'Linen', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 87.97, 15, 'Portugal', 'Yes', 71, 'Sustainable Materials - Eco-conscious production for kids'' items');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0092', 'Urban Thread Children''s Caps', 'Urban Thread', 'Children', 'Accessories', 'Caps', 'White', 'Printed', 'Linen', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 48.06, 10, 'Portugal', 'Yes', 106, 'Gender-Neutral Styling - Classic patterns for all children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0093', 'Classic Fit Children''s Socks', 'Classic Fit', 'Children', 'Accessories', 'Socks', 'Burgundy', 'Floral', 'Spandex', 'XS, S, M, L, XL, XXL', 'Regular Fit', 51.14, 0, 'Vietnam', 'Yes', 26, 'Multipack Value - Budget-friendly essential layering pieces');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0094', 'Sport Elite Children''s Scarves', 'Sport Elite', 'Children', 'Accessories', 'Scarves', 'Grey', 'Printed', 'Linen', 'XS, S, M, L, XL, XXL', 'True to Size', 35.63, 10, 'USA', 'Yes', 164, 'Soft Fleece Warmth - Comfortable against children''s skin');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0095', 'Urban Thread Children''s Belts', 'Urban Thread', 'Children', 'Accessories', 'Belts', 'Brown', 'Printed', 'Wool', 'XS, S, M, L, XL, XXL', 'Regular Fit', 33.15, 0, 'USA', 'Yes', 91, 'Adjustable Sizing - Growth accommodation in accessories');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0096', 'Classic Fit Children''s Backpacks', 'Classic Fit', 'Children', 'Accessories', 'Backpacks', 'Beige', 'Striped', 'Linen', 'XS, S, M, L, XL, XXL', 'Athletic Fit', 115.89, 0, 'Portugal', 'Yes', 111, 'Growth-Friendly Sizing - Adjustable features for multiple years');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0097', 'Sport Elite Children''s Caps', 'Sport Elite', 'Children', 'Accessories', 'Caps', 'Yellow', 'Floral', 'Cotton', 'XS, S, M, L, XL, XXL', 'True to Size', 26.66, 10, 'USA', 'Yes', 66, 'Gender-Neutral Styling - Classic patterns for all children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0098', 'Urban Thread Children''s Socks', 'Urban Thread', 'Children', 'Accessories', 'Socks', 'Purple', 'Striped', 'Canvas', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 59.71, 0, 'Vietnam', 'Yes', 79, 'Temperature Regulation - Natural fiber benefits');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0099', 'Classic Fit Children''s Scarves', 'Classic Fit', 'Children', 'Accessories', 'Scarves', 'Yellow', 'Solid', 'Nylon', 'XS, S, M, L, XL, XXL', 'True to Size', 67.78, 0, 'USA', 'No', 0, 'Soft Fleece Warmth - Comfortable against children''s skin');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0100', 'Sport Elite Children''s Belts', 'Sport Elite', 'Children', 'Accessories', 'Belts', 'Red', 'Solid', 'Wool', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 29.11, 0, 'India', 'Yes', 143, 'Adjustable Sizing - Growth accommodation in accessories');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0101', 'Urban Thread Children''s Backpacks', 'Urban Thread', 'Children', 'Accessories', 'Backpacks', 'Yellow', 'Geometric', 'Cotton', 'XS, S, M, L, XL, XXL', 'Regular Fit', 74.55, 0, 'China', 'Yes', 165, 'Growth-Friendly Sizing - Adjustable features for multiple years');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0102', 'Classic Fit Children''s Caps', 'Classic Fit', 'Children', 'Accessories', 'Caps', 'Brown', 'Geometric', 'Nylon', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 52.8, 10, 'China', 'Yes', 97, 'Trapper Hat Versatility - Adjustable ear flaps for temperature');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0103', 'Sport Elite Children''s Socks', 'Sport Elite', 'Children', 'Accessories', 'Socks', 'Purple', 'Floral', 'Leather', 'XS, S, M, L, XL, XXL', 'True to Size', 47.72, 10, 'Turkey', 'Yes', 48, 'Merino Wool Base Layer - Moisture-wicking for active children');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0104', 'Urban Thread Children''s Scarves', 'Urban Thread', 'Children', 'Accessories', 'Scarves', 'Charcoal', 'Floral', 'Canvas', 'XS, S, M, L, XL, XXL', 'Relaxed Fit', 37.05, 0, 'Turkey', 'Yes', 141, 'Snood Protection - Eliminates strangulation hazards');
+INSERT INTO product_catalog (SKU, PRODUCT_NAME, BRAND, GENDER, CATEGORY, SUBCATEGORY, COLOR, PATTERN, MATERIAL, SIZES_AVAILABLE, FIT, PRICE_USD, DISCOUNT_PERCENT, COUNTRY_OF_ORIGIN, IN_STOCK, STOCK_QUANTITY, FASHION_TREND_2025) VALUES ('CHD-0105', 'Classic Fit Children''s Belts', 'Classic Fit', 'Children', 'Accessories', 'Belts', 'Blue', 'Solid', 'Leather', 'XS, S, M, L, XL, XXL', 'Tailored Fit', 102.12, 0, 'Bangladesh', 'Yes', 13, 'Adjustable Sizing - Growth accommodation in accessories');
+
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/databricks-customer_analytics_kpi.sql b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/databricks-customer_analytics_kpi.sql
new file mode 100644
index 0000000..4b7c16f
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/databricks-customer_analytics_kpi.sql
@@ -0,0 +1,396 @@
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (1, 'Tammy Bryant', 'tammy.bryant@internalmail', 'Female', TO_DATE('1976-03-05', 'YYYY-MM-DD'), 49, '+1-215-284-5679', TO_TIMESTAMP('2021-04-20T12:51:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1680, 'Silver', 3972, 1, 0, 5, 397.22, 79.44, TO_DATE('2022-01-16', 'YYYY-MM-DD'), 1410, 'Online', 1.09, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (2, 'Roy White', 'roy.white@internalmail', 'Non-binary', TO_DATE('1974-03-05', 'YYYY-MM-DD'), 51, '+1-942-405-1143', TO_TIMESTAMP('2021-02-11T18:01:30Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1748, 'Bronze', 3329, 1, 1, 2, 332.99, 166.5, TO_DATE('2021-09-09', 'YYYY-MM-DD'), 1539, 'Online, San Francisco', 0.42, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (3, 'Gary Jenkins', 'gary.jenkins@internalmail', 'Male', TO_DATE('1960-06-01', 'YYYY-MM-DD'), 65, '+1-991-311-2813', TO_TIMESTAMP('2021-02-04T13:20:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1755, 'Gold', 17654, 1, 0, 10, 1765.44, 176.54, TO_DATE('2022-01-20', 'YYYY-MM-DD'), 1406, 'Online, Seattle', 2.08, 0, 'High Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (4, 'Victor Morris', 'victor.morris@internalmail', 'Female', TO_DATE('2004-11-18', 'YYYY-MM-DD'), 21, '+1-941-790-8429', TO_TIMESTAMP('2021-07-02T23:08:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1607, 'Silver', 12632, 1, 1, 7, 1263.27, 180.47, TO_DATE('2022-01-13', 'YYYY-MM-DD'), 1413, 'New York City, Online', 1.59, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (5, 'Beverly Hughes', 'beverly.hughes@internalmail', 'Non-binary', TO_DATE('1984-01-30', 'YYYY-MM-DD'), 41, '+1-508-804-1575', TO_TIMESTAMP('2021-05-27T03:20:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1644, 'Bronze', 1507, 1, 0, 3, 150.74, 50.25, TO_DATE('2021-08-31', 'YYYY-MM-DD'), 1548, 'Chicago, Online', 0.67, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (6, 'Evelyn Torres', 'evelyn.torres@internalmail', 'Male', TO_DATE('1988-12-17', 'YYYY-MM-DD'), 36, '+1-805-389-6206', TO_TIMESTAMP('2021-04-30T11:39:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1671, 'Silver', 6483, 1, 1, 6, 648.34, 108.06, TO_DATE('2022-01-10', 'YYYY-MM-DD'), 1416, 'London, Online', 1.31, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (13, 'Michelle Ramirez', 'michelle.ramirez@internalmail', 'Female', TO_DATE('2005-04-02', 'YYYY-MM-DD'), 20, '+1-521-409-8170', TO_TIMESTAMP('2021-03-30T00:19:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1702, 'Bronze', 9241, 1, 0, 4, 924.17, 231.04, TO_DATE('2022-01-17', 'YYYY-MM-DD'), 1409, 'Online, Vienna', 0.86, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (14, 'Elizabeth Martinez', 'elizabeth.martinez@internalmail', 'Non-binary', TO_DATE('2009-03-07', 'YYYY-MM-DD'), 16, '+1-525-855-2464', TO_TIMESTAMP('2021-03-29T03:35:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1703, 'Silver', 17532, 1, 1, 9, 1753.27, 194.81, TO_DATE('2022-01-25', 'YYYY-MM-DD'), 1401, 'Mumbai, Online', 1.93, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (15, 'Walter Rogers', 'walter.rogers@internalmail', 'Male', TO_DATE('1973-07-28', 'YYYY-MM-DD'), 52, '+1-538-239-7373', TO_TIMESTAMP('2021-05-23T13:08:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1647, 'Silver', 12817, 1, 0, 5, 1281.75, 256.35, TO_DATE('2022-01-15', 'YYYY-MM-DD'), 1411, 'New Dehli, Online', 1.11, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (16, 'Ralph Foster', 'ralph.foster@internalmail', 'Female', TO_DATE('1998-01-07', 'YYYY-MM-DD'), 27, '+1-492-381-4477', TO_TIMESTAMP('2021-02-27T07:47:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1733, 'Silver', 11665, 1, 1, 8, 1166.54, 145.82, TO_DATE('2022-01-10', 'YYYY-MM-DD'), 1416, 'Online, Sydney', 1.68, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (17, 'Tina Simmons', 'tina.simmons@internalmail', 'Non-binary', TO_DATE('1979-11-18', 'YYYY-MM-DD'), 46, '+1-299-445-1301', TO_TIMESTAMP('2021-04-01T08:20:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1700, 'Silver', 6837, 1, 0, 5, 683.76, 136.75, TO_DATE('2022-01-24', 'YYYY-MM-DD'), 1402, 'Online, Perth', 1.07, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (18, 'Peter Jones', 'peter.jones@internalmail', 'Male', TO_DATE('1990-09-04', 'YYYY-MM-DD'), 35, '+1-934-186-6640', TO_TIMESTAMP('2021-02-09T23:17:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1750, 'Bronze', 2829, 1, 1, 3, 282.91, 94.3, TO_DATE('2022-02-10', 'YYYY-MM-DD'), 1385, 'Online, São Paulo', 0.63, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (19, 'Kathryn Rogers', 'kathryn.rogers@internalmail', 'Female', TO_DATE('2003-01-21', 'YYYY-MM-DD'), 22, '+1-552-330-4968', TO_TIMESTAMP('2021-09-08T18:15:42Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1539, 'Bronze', 6549, 1, 0, 4, 654.91, 163.73, TO_DATE('2022-02-23', 'YYYY-MM-DD'), 1372, 'Buenos Aires, Online', 0.95, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (20, 'Dennis Lopez', 'dennis.lopez@internalmail', 'Non-binary', TO_DATE('1994-02-03', 'YYYY-MM-DD'), 31, '+1-725-264-6998', TO_TIMESTAMP('2021-03-28T09:56:00Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1704, 'Bronze', 6305, 1, 1, 4, 630.51, 157.63, TO_DATE('2022-03-09', 'YYYY-MM-DD'), 1358, 'Mexico City, Online', 0.86, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (21, 'Martha Baker', 'martha.baker@internalmail', 'Male', TO_DATE('1980-06-27', 'YYYY-MM-DD'), 45, '+1-380-276-4439', TO_TIMESTAMP('2021-11-18T07:46:53Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1469, 'Bronze', 9836, 1, 0, 4, 983.65, 245.91, TO_DATE('2022-03-12', 'YYYY-MM-DD'), 1355, 'Bejing, Online', 0.99, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (22, 'Raymond Bailey', 'raymond.bailey@internalmail', 'Female', TO_DATE('1979-04-18', 'YYYY-MM-DD'), 46, '+1-400-401-8969', TO_TIMESTAMP('2021-04-26T05:13:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1675, 'Bronze', 5659, 1, 1, 4, 565.96, 141.49, TO_DATE('2022-03-11', 'YYYY-MM-DD'), 1356, 'Online, Tokyo', 0.87, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (23, 'Christopher Allen', 'christopher.allen@internalmail', 'Non-binary', TO_DATE('2004-04-03', 'YYYY-MM-DD'), 21, '+1-654-843-6603', TO_TIMESTAMP('2021-03-20T00:07:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1712, 'Bronze', 1309, 1, 0, 1, 130.95, 130.95, TO_DATE('2021-03-20', 'YYYY-MM-DD'), 1712, 'Online', 0.21, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (24, 'Jonathan Coleman', 'jonathan.coleman@internalmail', 'Male', TO_DATE('1993-01-17', 'YYYY-MM-DD'), 32, '+1-653-729-1721', TO_TIMESTAMP('2021-04-29T04:26:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1672, 'Silver', 9809, 1, 1, 5, 980.96, 196.19, TO_DATE('2021-08-16', 'YYYY-MM-DD'), 1563, 'Online', 1.09, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (25, 'Walter Turner', 'walter.turner@internalmail', 'Female', TO_DATE('2009-07-08', 'YYYY-MM-DD'), 16, '+1-433-108-1215', TO_TIMESTAMP('2021-05-18T09:33:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1653, 'Bronze', 6807, 1, 0, 3, 680.78, 226.93, TO_DATE('2021-10-18', 'YYYY-MM-DD'), 1500, 'Online', 0.66, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (26, 'Anna Murphy', 'anna.murphy@internalmail', 'Non-binary', TO_DATE('1986-08-05', 'YYYY-MM-DD'), 39, '+1-672-393-3230', TO_TIMESTAMP('2021-05-22T14:29:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1648, 'Bronze', 4088, 1, 1, 4, 408.82, 102.21, TO_DATE('2022-01-21', 'YYYY-MM-DD'), 1405, 'Online', 0.89, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (27, 'Carol Alexander', 'carol.alexander@internalmail', 'Male', TO_DATE('1961-02-21', 'YYYY-MM-DD'), 64, '+1-208-360-6112', TO_TIMESTAMP('2021-05-05T04:31:44Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1666, 'Silver', 7047, 1, 0, 6, 704.78, 117.46, TO_DATE('2022-02-03', 'YYYY-MM-DD'), 1392, 'Online', 1.31, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (28, 'Teresa Brown', 'teresa.brown@internalmail', 'Female', TO_DATE('1991-09-11', 'YYYY-MM-DD'), 34, '+1-916-515-1643', TO_TIMESTAMP('2021-06-09T19:19:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1630, 'Silver', 9472, 1, 1, 5, 947.22, 189.44, TO_DATE('2022-02-01', 'YYYY-MM-DD'), 1394, 'Online', 1.12, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (29, 'Beverly Rivera', 'beverly.rivera@internalmail', 'Non-binary', TO_DATE('2001-05-10', 'YYYY-MM-DD'), 24, '+1-474-917-4394', TO_TIMESTAMP('2021-04-28T21:24:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1672, 'Silver', 11641, 1, 0, 6, 1164.19, 194.03, TO_DATE('2022-03-27', 'YYYY-MM-DD'), 1340, 'Online, Tel Aviv', 1.31, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (30, 'Lisa Hughes', 'lisa.hughes@internalmail', 'Male', TO_DATE('1988-02-13', 'YYYY-MM-DD'), 37, '+1-322-882-4761', TO_TIMESTAMP('2021-07-20T09:27:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1590, 'Silver', 9771, 1, 1, 6, 977.1, 162.85, TO_DATE('2022-01-31', 'YYYY-MM-DD'), 1395, 'Online', 1.38, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (7, 'Carl Lee', 'carl.lee@internalmail', 'Female', TO_DATE('1961-09-28', 'YYYY-MM-DD'), 64, '+1-631-663-3273', TO_TIMESTAMP('2021-09-29T01:30:09Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1519, 'Silver', 8111, 1, 0, 5, 811.18, 162.24, TO_DATE('2022-03-25', 'YYYY-MM-DD'), 1342, 'Bucharest, Online', 1.2, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (8, 'Douglas Flores', 'douglas.flores@internalmail', 'Non-binary', TO_DATE('1963-04-14', 'YYYY-MM-DD'), 62, '+1-977-410-2997', TO_TIMESTAMP('2021-04-28T16:53:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1672, 'Silver', 12886, 1, 1, 8, 1288.67, 161.08, TO_DATE('2022-03-10', 'YYYY-MM-DD'), 1357, 'Berlin, Online', 1.75, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (9, 'Norma Robinson', 'norma.robinson@internalmail', 'Male', TO_DATE('1970-11-06', 'YYYY-MM-DD'), 55, '+1-298-171-7889', TO_TIMESTAMP('2021-02-22T00:57:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1738, 'Silver', 9089, 1, 0, 5, 908.92, 181.78, TO_DATE('2021-12-10', 'YYYY-MM-DD'), 1447, 'Online, Utrecht', 1.05, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (10, 'Gregory Sanchez', 'gregory.sanchez@internalmail', 'Female', TO_DATE('1966-05-22', 'YYYY-MM-DD'), 59, '+1-645-801-6291', TO_TIMESTAMP('2021-06-28T05:37:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1612, 'Silver', 9067, 1, 1, 5, 906.72, 181.34, TO_DATE('2022-02-23', 'YYYY-MM-DD'), 1372, 'Madrid, Online', 1.13, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (11, 'Judy Evans', 'judy.evans@internalmail', 'Non-binary', TO_DATE('1992-02-07', 'YYYY-MM-DD'), 33, '+1-515-170-9397', TO_TIMESTAMP('2021-09-08T19:31:00Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1539, 'Bronze', 8350, 1, 0, 4, 835.07, 208.77, TO_DATE('2022-02-05', 'YYYY-MM-DD'), 1390, 'Johannesburg, Online', 0.95, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (12, 'Jean Patterson', 'jean.patterson@internalmail', 'Male', TO_DATE('1968-06-16', 'YYYY-MM-DD'), 57, '+1-303-357-5928', TO_TIMESTAMP('2021-04-10T12:41:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1690, 'Bronze', 3079, 1, 1, 3, 307.9, 102.63, TO_DATE('2022-02-06', 'YYYY-MM-DD'), 1389, 'Lagos, Online', 0.65, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (37, 'Sandra Bennett', 'sandra.bennett@internalmail', 'Female', TO_DATE('1977-01-27', 'YYYY-MM-DD'), 48, '+1-596-799-1328', TO_TIMESTAMP('2021-05-05T02:55:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1666, 'Bronze', 9583, 1, 0, 3, 958.3, 319.43, TO_DATE('2021-09-25', 'YYYY-MM-DD'), 1523, 'Berlin, Online', 0.66, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (38, 'Jack Brooks', 'jack.brooks@internalmail', 'Non-binary', TO_DATE('1984-05-27', 'YYYY-MM-DD'), 41, '+1-706-342-7324', TO_TIMESTAMP('2021-05-19T05:10:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1652, 'Silver', 7519, 1, 1, 6, 751.99, 125.33, TO_DATE('2021-12-03', 'YYYY-MM-DD'), 1454, 'Online, Utrecht', 1.33, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (39, 'Harry Powell', 'harry.powell@internalmail', 'Male', TO_DATE('1987-09-24', 'YYYY-MM-DD'), 38, '+1-880-717-9684', TO_TIMESTAMP('2021-02-28T18:42:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1731, 'Silver', 9724, 1, 0, 5, 972.44, 194.49, TO_DATE('2021-12-27', 'YYYY-MM-DD'), 1430, 'Madrid, Online', 1.05, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (40, 'Ernest Foster', 'ernest.foster@internalmail', 'Female', TO_DATE('1996-01-22', 'YYYY-MM-DD'), 29, '+1-701-228-2640', TO_TIMESTAMP('2021-06-14T05:56:43Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1626, 'Bronze', 7393, 1, 1, 4, 739.39, 184.85, TO_DATE('2021-12-16', 'YYYY-MM-DD'), 1441, 'Johannesburg, Online', 0.9, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (41, 'Jeremy Howard', 'jeremy.howard@internalmail', 'Non-binary', TO_DATE('1982-11-28', 'YYYY-MM-DD'), 42, '+1-810-659-6551', TO_TIMESTAMP('2021-06-08T13:34:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1631, 'Silver', 12490, 1, 0, 8, 1249.08, 156.14, TO_DATE('2022-01-10', 'YYYY-MM-DD'), 1416, 'Lagos, Online', 1.79, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (42, 'Adam Walker', 'adam.walker@internalmail', 'Male', TO_DATE('1965-12-06', 'YYYY-MM-DD'), 59, '+1-220-787-5484', TO_TIMESTAMP('2021-03-03T06:39:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1729, 'Bronze', 5883, 1, 1, 4, 588.3, 147.08, TO_DATE('2021-12-01', 'YYYY-MM-DD'), 1456, 'Online, Vienna', 0.84, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (61, 'Pedro Aenlo', 'pedro.aenlo@internalmail', 'Female', TO_DATE('1983-09-11', 'YYYY-MM-DD'), 42, '+1-326-222-2674', TO_TIMESTAMP('2021-03-18T04:07:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1714, 'Silver', 11017, 1, 0, 7, 1101.7, 157.39, TO_DATE('2022-03-28', 'YYYY-MM-DD'), 1339, 'Online, Seattle', 1.49, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (62, 'Nus Biollix', 'nus.biollix@internalmail', 'Non-binary', TO_DATE('1971-03-22', 'YYYY-MM-DD'), 54, '+1-201-387-3634', TO_TIMESTAMP('2021-03-17T06:01:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1715, 'Silver', 14327, 1, 1, 8, 1432.75, 179.09, TO_DATE('2022-01-27', 'YYYY-MM-DD'), 1399, 'New York City, Online', 1.7, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (63, 'Eva Ogatius', 'eva.ogatius@internalmail', 'Male', TO_DATE('2004-08-09', 'YYYY-MM-DD'), 21, '+1-324-751-3072', TO_TIMESTAMP('2021-04-13T10:16:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1688, 'Silver', 12943, 1, 0, 6, 1294.39, 215.73, TO_DATE('2021-09-24', 'YYYY-MM-DD'), 1524, 'Chicago, Online', 1.3, 0, 'High Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (64, 'Harriet Auxus', 'harriet.auxus@internalmail', 'Female', TO_DATE('2005-11-29', 'YYYY-MM-DD'), 19, '+1-848-731-9409', TO_TIMESTAMP('2021-07-11T15:23:58Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1598, 'Bronze', 2703, 1, 1, 4, 270.32, 67.58, TO_DATE('2021-12-19', 'YYYY-MM-DD'), 1438, 'London, Online', 0.91, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (65, 'Domingo Morano', 'domingo.morano@internalmail', 'Non-binary', TO_DATE('2006-01-25', 'YYYY-MM-DD'), 19, '+1-844-737-8845', TO_TIMESTAMP('2021-03-08T01:20:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1724, 'Silver', 11409, 1, 0, 8, 1140.99, 142.62, TO_DATE('2022-01-23', 'YYYY-MM-DD'), 1403, 'Bucharest, Online', 1.69, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (66, 'John Venzl', 'john.venzl@internalmail', 'Male', TO_DATE('1985-02-15', 'YYYY-MM-DD'), 40, '+1-515-121-6345', TO_TIMESTAMP('2021-06-01T03:54:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1639, 'Bronze', 3120, 1, 1, 4, 312.09, 78.02, TO_DATE('2021-11-18', 'YYYY-MM-DD'), 1469, 'Berlin, Online', 0.89, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (67, 'Roberto Sipaia', 'roberto.sipaia@internalmail', 'Female', TO_DATE('1976-08-23', 'YYYY-MM-DD'), 49, '+1-530-797-9649', TO_TIMESTAMP('2021-03-02T11:52:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1730, 'Silver', 6929, 1, 0, 5, 692.93, 138.59, TO_DATE('2022-01-10', 'YYYY-MM-DD'), 1416, 'Online, Utrecht', 1.05, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (68, 'Emilio Sessaia', 'emilio.sessaia@internalmail', 'Non-binary', TO_DATE('1967-11-04', 'YYYY-MM-DD'), 58, '+1-870-208-4537', TO_TIMESTAMP('2021-02-24T02:05:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1736, 'Bronze', 4355, 1, 1, 4, 435.59, 108.9, TO_DATE('2022-01-03', 'YYYY-MM-DD'), 1423, 'Madrid, Online', 0.84, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (69, 'Felix Auvacia', 'felix.auvacia@internalmail', 'Male', TO_DATE('1999-09-05', 'YYYY-MM-DD'), 26, '+1-223-247-2319', TO_TIMESTAMP('2021-04-22T12:38:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1678, 'Bronze', 7187, 1, 0, 4, 718.79, 179.7, TO_DATE('2021-12-07', 'YYYY-MM-DD'), 1450, 'Johannesburg, Online', 0.87, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (70, 'Santiago Vautus', 'santiago.vautus@internalmail', 'Female', TO_DATE('1975-06-11', 'YYYY-MM-DD'), 50, '+1-797-841-4560', TO_TIMESTAMP('2021-04-23T19:54:43Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1677, 'Bronze', 7252, 1, 1, 4, 725.26, 181.32, TO_DATE('2022-02-12', 'YYYY-MM-DD'), 1383, 'Lagos, Online', 0.87, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (71, 'Eduardo Flignia', 'eduardo.flignia@internalmail', 'Non-binary', TO_DATE('1983-09-07', 'YYYY-MM-DD'), 42, '+1-582-905-3267', TO_TIMESTAMP('2021-03-09T00:16:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1723, 'Silver', 10172, 1, 0, 6, 1017.2, 169.53, TO_DATE('2022-02-16', 'YYYY-MM-DD'), 1379, 'Online, Vienna', 1.27, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (72, 'Raul Haelfeius', 'raul.haelfeius@internalmail', 'Male', TO_DATE('1986-08-15', 'YYYY-MM-DD'), 39, '+1-863-338-1710', TO_TIMESTAMP('2021-07-09T13:26:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1600, 'Bronze', 4993, 1, 1, 4, 499.35, 124.84, TO_DATE('2022-02-06', 'YYYY-MM-DD'), 1389, 'Mumbai, Online', 0.91, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (73, 'Carlos Maza', 'carlos.maza@internalmail', 'Female', TO_DATE('1960-10-14', 'YYYY-MM-DD'), 65, '+1-350-765-3672', TO_TIMESTAMP('2021-03-14T00:26:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1718, 'Bronze', 3301, 1, 0, 4, 330.18, 82.55, TO_DATE('2022-01-11', 'YYYY-MM-DD'), 1415, 'New Dehli, Online', 0.85, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (74, 'Alex Loera', 'alex.loera@internalmail', 'Non-binary', TO_DATE('1999-09-15', 'YYYY-MM-DD'), 26, '+1-679-420-6779', TO_TIMESTAMP('2021-02-13T20:11:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1746, 'Bronze', 7139, 1, 1, 3, 713.9, 237.97, TO_DATE('2022-02-13', 'YYYY-MM-DD'), 1382, 'Online, Sydney', 0.63, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (75, 'Oscar Moye', 'oscar.moye@internalmail', 'Male', TO_DATE('2008-02-07', 'YYYY-MM-DD'), 17, '+1-213-679-6678', TO_TIMESTAMP('2021-09-21T09:25:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1527, 'Silver', 10506, 1, 0, 6, 1050.63, 175.11, TO_DATE('2022-02-10', 'YYYY-MM-DD'), 1385, 'Online, Perth', 1.43, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (76, 'Daniella Almonte', 'daniella.almonte@internalmail', 'Female', TO_DATE('2003-06-09', 'YYYY-MM-DD'), 22, '+1-543-302-3941', TO_TIMESTAMP('2021-04-09T22:19:40Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 9082, 1, 1, 5, 908.24, 181.65, TO_DATE('2022-02-05', 'YYYY-MM-DD'), 1390, 'Online, São Paulo', 1.08, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (77, 'Paz Montilla', 'paz.montilla@internalmail', 'Non-binary', TO_DATE('1973-07-17', 'YYYY-MM-DD'), 52, '+1-651-722-3923', TO_TIMESTAMP('2021-05-09T03:41:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1662, 'Silver', 12091, 1, 0, 9, 1209.16, 134.35, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'Buenos Aires, Online', 1.98, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (78, 'Gricelda Luebbers', 'gricelda.luebbers@internalmail', 'Male', TO_DATE('1992-10-23', 'YYYY-MM-DD'), 33, '+1-401-903-3417', TO_TIMESTAMP('2021-06-16T21:28:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1623, 'Silver', 5016, 1, 1, 5, 501.66, 100.33, TO_DATE('2022-02-28', 'YYYY-MM-DD'), 1367, 'Mexico City, Online', 1.12, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (43, 'Michael Marker', 'michael.marker@internalmail', 'Female', TO_DATE('2004-05-13', 'YYYY-MM-DD'), 21, '+1-751-772-3371', TO_TIMESTAMP('2021-07-22T09:17:03Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1588, 'Silver', 7773, 1, 0, 6, 777.33, 129.56, TO_DATE('2022-01-23', 'YYYY-MM-DD'), 1403, 'Mumbai, Online', 1.38, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (44, 'Kris Krill', 'kris.krill@internalmail', 'Non-binary', TO_DATE('1969-02-10', 'YYYY-MM-DD'), 56, '+1-935-296-1570', TO_TIMESTAMP('2021-03-29T05:44:21Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1703, 'Silver', 8986, 1, 1, 5, 898.65, 179.73, TO_DATE('2022-01-25', 'YYYY-MM-DD'), 1401, 'New Dehli, Online', 1.07, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (45, 'Fred Fontain', 'fred.fontain@internalmail', 'Male', TO_DATE('1994-03-17', 'YYYY-MM-DD'), 31, '+1-912-387-9520', TO_TIMESTAMP('2021-02-08T20:58:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1751, 'Silver', 13638, 1, 0, 8, 1363.81, 170.48, TO_DATE('2022-02-17', 'YYYY-MM-DD'), 1378, 'Online, Sydney', 1.67, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (46, 'Alwin Elliott', 'alwin.elliott@internalmail', 'Female', TO_DATE('1986-12-01', 'YYYY-MM-DD'), 38, '+1-561-516-7062', TO_TIMESTAMP('2021-09-08T03:42:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1540, 'Bronze', 4579, 1, 1, 2, 457.92, 228.96, TO_DATE('2021-12-16', 'YYYY-MM-DD'), 1441, 'Online, Perth', 0.47, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (47, 'Finian Park', 'finian.park@internalmail', 'Non-binary', TO_DATE('1985-05-21', 'YYYY-MM-DD'), 40, '+1-911-500-6485', TO_TIMESTAMP('2021-12-02T11:18:44Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1455, 'Bronze', 2224, 1, 0, 3, 222.44, 74.15, TO_DATE('2022-02-03', 'YYYY-MM-DD'), 1392, 'Online, São Paulo', 0.75, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (48, 'Florencia Hopkins', 'florencia.hopkins@internalmail', 'Male', TO_DATE('1989-08-23', 'YYYY-MM-DD'), 36, '+1-871-711-6767', TO_TIMESTAMP('2021-06-11T10:51:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1629, 'Silver', 7033, 1, 1, 5, 703.37, 140.67, TO_DATE('2022-02-26', 'YYYY-MM-DD'), 1369, 'Buenos Aires, Online', 1.12, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (49, 'Kaija Crawford', 'kaija.crawford@internalmail', 'Female', TO_DATE('1967-11-06', 'YYYY-MM-DD'), 58, '+1-267-500-8229', TO_TIMESTAMP('2021-03-01T06:09:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1731, 'Gold', 16549, 1, 0, 10, 1654.98, 165.5, TO_DATE('2022-03-15', 'YYYY-MM-DD'), 1352, 'Mexico City, Online', 2.11, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (50, 'Kimiko Brien', 'kimiko.brien@internalmail', 'Non-binary', TO_DATE('1983-07-30', 'YYYY-MM-DD'), 42, '+1-368-942-4839', TO_TIMESTAMP('2021-11-06T02:02:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1481, 'Bronze', 2741, 1, 1, 2, 274.18, 137.09, TO_DATE('2022-03-14', 'YYYY-MM-DD'), 1353, 'Bejing, Online', 0.49, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (51, 'Michael Harris', 'michael.harris@internalmail', 'Male', TO_DATE('1970-02-28', 'YYYY-MM-DD'), 55, '+1-730-705-7213', TO_TIMESTAMP('2021-05-07T12:29:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1663, 'Silver', 6293, 1, 0, 5, 629.32, 125.86, TO_DATE('2022-03-20', 'YYYY-MM-DD'), 1347, 'Online, Tokyo', 1.1, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (52, 'Lola Whitley', 'lola.whitley@internalmail', 'Female', TO_DATE('2001-10-10', 'YYYY-MM-DD'), 24, '+1-200-628-3500', TO_TIMESTAMP('2021-11-19T02:50:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1468, 'Bronze', 6651, 1, 1, 3, 665.12, 221.71, TO_DATE('2022-01-08', 'YYYY-MM-DD'), 1418, 'Online', 0.75, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (53, 'Witney Rockwell', 'witney.rockwell@internalmail', 'Non-binary', TO_DATE('1994-03-23', 'YYYY-MM-DD'), 31, '+1-925-528-7261', TO_TIMESTAMP('2021-05-27T01:51:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1644, 'Bronze', 2340, 1, 0, 2, 234.05, 117.03, TO_DATE('2021-12-08', 'YYYY-MM-DD'), 1449, 'Online', 0.44, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (54, 'Kellan Ye', 'kellan.ye@internalmail', 'Male', TO_DATE('1975-12-27', 'YYYY-MM-DD'), 49, '+1-505-132-9818', TO_TIMESTAMP('2021-09-20T07:22:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1528, 'Bronze', 2796, 1, 1, 2, 279.69, 139.85, TO_DATE('2021-10-03', 'YYYY-MM-DD'), 1515, 'Online', 0.48, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (55, 'Michael Kim', 'michael.kim@internalmail', 'Female', TO_DATE('2004-09-23', 'YYYY-MM-DD'), 21, '+1-482-397-8168', TO_TIMESTAMP('2021-03-06T11:03:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1726, 'Bronze', 6918, 1, 0, 4, 691.85, 172.96, TO_DATE('2021-11-18', 'YYYY-MM-DD'), 1469, 'Online', 0.85, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (56, 'Tamika Hu', 'tamika.hu@internalmail', 'Non-binary', TO_DATE('2003-01-05', 'YYYY-MM-DD'), 22, '+1-226-173-9937', TO_TIMESTAMP('2021-11-23T22:19:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1463, 'Bronze', 1521, 1, 1, 2, 152.18, 76.09, TO_DATE('2022-01-30', 'YYYY-MM-DD'), 1396, 'Online', 0.5, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (57, 'Michael Smith', 'michael.smith@internalmail', 'Male', TO_DATE('2003-04-11', 'YYYY-MM-DD'), 22, '+1-530-210-2411', TO_TIMESTAMP('2021-09-02T03:12:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1546, 'Bronze', 2347, 1, 0, 2, 234.74, 117.37, TO_DATE('2022-01-07', 'YYYY-MM-DD'), 1419, 'Online', 0.47, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (58, 'Shamira Jones', 'shamira.jones@internalmail', 'Female', TO_DATE('1979-11-12', 'YYYY-MM-DD'), 46, '+1-766-702-5709', TO_TIMESTAMP('2021-05-03T03:13:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1668, 'Gold', 17270, 1, 1, 11, 1727.09, 157.01, TO_DATE('2022-03-31', 'YYYY-MM-DD'), 1336, 'Online, Tel Aviv', 2.41, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (59, 'Debbie Sawbridge', 'debbie.sawbridge@internalmail', 'Non-binary', TO_DATE('1978-06-16', 'YYYY-MM-DD'), 47, '+1-934-167-7580', TO_TIMESTAMP('2021-05-29T22:04:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1641, 'Bronze', 2965, 1, 0, 3, 296.51, 98.84, TO_DATE('2022-02-03', 'YYYY-MM-DD'), 1392, 'Online', 0.67, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (60, 'Clair Maldonado', 'clair.maldonado@internalmail', 'Male', TO_DATE('1963-06-02', 'YYYY-MM-DD'), 62, '+1-646-719-5911', TO_TIMESTAMP('2021-03-22T17:50:53Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1709, 'Silver', 8235, 1, 1, 5, 823.58, 164.72, TO_DATE('2021-08-07', 'YYYY-MM-DD'), 1572, 'Online, San Francisco', 1.07, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (31, 'Deborah Taylor', 'deborah.taylor@internalmail', 'Female', TO_DATE('1981-05-12', 'YYYY-MM-DD'), 44, '+1-990-682-7158', TO_TIMESTAMP('2021-03-09T13:25:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1722, 'Silver', 15047, 1, 0, 8, 1504.78, 188.1, TO_DATE('2021-12-20', 'YYYY-MM-DD'), 1437, 'Online, San Francisco', 1.7, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (32, 'Cheryl Young', 'cheryl.young@internalmail', 'Non-binary', TO_DATE('2007-09-21', 'YYYY-MM-DD'), 18, '+1-576-185-6627', TO_TIMESTAMP('2021-03-07T19:55:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1724, 'Silver', 6107, 1, 1, 5, 610.78, 122.16, TO_DATE('2021-11-11', 'YYYY-MM-DD'), 1476, 'Online, Seattle', 1.06, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (33, 'Carolyn Wood', 'carolyn.wood@internalmail', 'Male', TO_DATE('1983-09-02', 'YYYY-MM-DD'), 42, '+1-388-661-4239', TO_TIMESTAMP('2021-06-26T03:36:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1614, 'Silver', 12397, 1, 0, 6, 1239.79, 206.63, TO_DATE('2021-12-20', 'YYYY-MM-DD'), 1437, 'New York City, Online', 1.36, 0, 'High Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (34, 'Patricia Robinson', 'patricia.robinson@internalmail', 'Female', TO_DATE('1973-10-02', 'YYYY-MM-DD'), 52, '+1-327-986-6270', TO_TIMESTAMP('2021-05-02T04:57:03Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1669, 'Bronze', 1064, 1, 1, 2, 106.44, 53.22, TO_DATE('2021-09-26', 'YYYY-MM-DD'), 1522, 'Chicago, Online', 0.44, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (35, 'Joshua Nelson', 'joshua.nelson@internalmail', 'Non-binary', TO_DATE('1960-06-30', 'YYYY-MM-DD'), 65, '+1-288-779-1556', TO_TIMESTAMP('2021-06-06T12:16:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1633, 'Silver', 13466, 1, 0, 7, 1346.67, 192.38, TO_DATE('2021-12-05', 'YYYY-MM-DD'), 1452, 'London, Online', 1.56, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (36, 'Mary Barnes', 'mary.barnes@internalmail', 'Male', TO_DATE('1995-05-27', 'YYYY-MM-DD'), 30, '+1-204-102-8044', TO_TIMESTAMP('2021-06-03T00:49:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1637, 'Bronze', 3737, 1, 1, 4, 373.77, 93.44, TO_DATE('2022-01-15', 'YYYY-MM-DD'), 1411, 'Bucharest, Online', 0.89, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (101, 'Carolyne Centore', 'carolyne.centore@internalmail', 'Non-binary', TO_DATE('1981-06-23', 'YYYY-MM-DD'), 44, '+1-984-975-4342', TO_TIMESTAMP('2021-02-24T17:50:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1735, 'Silver', 7024, 1, 0, 5, 702.43, 140.49, TO_DATE('2022-02-24', 'YYYY-MM-DD'), 1371, 'Mumbai, Online', 1.05, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (102, 'Cornell Pratico', 'cornell.pratico@internalmail', 'Male', TO_DATE('1992-01-24', 'YYYY-MM-DD'), 33, '+1-983-959-4329', TO_TIMESTAMP('2021-05-22T13:23:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1648, 'Silver', 8304, 1, 1, 7, 830.47, 118.64, TO_DATE('2022-01-26', 'YYYY-MM-DD'), 1400, 'New Dehli, Online', 1.55, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (103, 'Sam Rueb', 'sam.rueb@internalmail', 'Female', TO_DATE('1963-11-03', 'YYYY-MM-DD'), 62, '+1-303-298-7545', TO_TIMESTAMP('2021-09-03T05:47:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1545, 'Bronze', 3925, 1, 0, 4, 392.52, 98.13, TO_DATE('2022-02-09', 'YYYY-MM-DD'), 1386, 'Online, Sydney', 0.94, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (104, 'Shakita Sablock', 'shakita.sablock@internalmail', 'Non-binary', TO_DATE('2007-11-12', 'YYYY-MM-DD'), 18, '+1-245-450-3126', TO_TIMESTAMP('2021-05-18T10:45:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1653, 'Silver', 10517, 1, 1, 6, 1051.78, 175.3, TO_DATE('2022-02-14', 'YYYY-MM-DD'), 1381, 'Online, Perth', 1.32, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (105, 'Sandy Heffren', 'sandy.heffren@internalmail', 'Male', TO_DATE('1975-07-03', 'YYYY-MM-DD'), 50, '+1-515-590-7704', TO_TIMESTAMP('2021-05-04T19:01:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1666, 'Silver', 8153, 1, 0, 6, 815.38, 135.9, TO_DATE('2022-02-11', 'YYYY-MM-DD'), 1384, 'Online, São Paulo', 1.31, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (106, 'Tressa Coppens', 'tressa.coppens@internalmail', 'Female', TO_DATE('1996-02-07', 'YYYY-MM-DD'), 29, '+1-429-249-1587', TO_TIMESTAMP('2021-02-23T14:02:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1736, 'Bronze', 9716, 1, 1, 4, 971.65, 242.91, TO_DATE('2022-03-22', 'YYYY-MM-DD'), 1345, 'Buenos Aires, Online', 0.84, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (107, 'Shira Arocho', 'shira.arocho@internalmail', 'Non-binary', TO_DATE('1965-03-28', 'YYYY-MM-DD'), 60, '+1-940-311-7548', TO_TIMESTAMP('2021-07-17T10:18:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1593, 'Bronze', 6850, 1, 0, 4, 685.01, 171.25, TO_DATE('2022-03-13', 'YYYY-MM-DD'), 1354, 'Mexico City, Online', 0.92, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (108, 'Carter Sacarello', 'carter.sacarello@internalmail', 'Male', TO_DATE('1961-08-31', 'YYYY-MM-DD'), 64, '+1-490-646-4489', TO_TIMESTAMP('2021-05-23T17:08:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1647, 'Bronze', 4083, 1, 1, 4, 408.35, 102.09, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Bejing, Online', 0.89, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (109, 'Linda Merida', 'linda.merida@internalmail', 'Female', TO_DATE('2000-01-08', 'YYYY-MM-DD'), 25, '+1-600-203-9567', TO_TIMESTAMP('2021-02-22T15:00:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1737, 'Bronze', 10223, 1, 0, 4, 1022.35, 255.59, TO_DATE('2022-03-30', 'YYYY-MM-DD'), 1337, 'Online, Tokyo', 0.84, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (110, 'Winfred Sohn', 'winfred.sohn@internalmail', 'Non-binary', TO_DATE('1968-02-21', 'YYYY-MM-DD'), 57, '+1-509-812-8193', TO_TIMESTAMP('2021-08-06T14:03:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1572, 'Bronze', 2277, 1, 1, 2, 227.72, 113.86, TO_DATE('2021-11-29', 'YYYY-MM-DD'), 1458, 'Online', 0.46, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (111, 'Nestor Caparros', 'nestor.caparros@internalmail', 'Male', TO_DATE('1965-11-13', 'YYYY-MM-DD'), 60, '+1-698-966-1565', TO_TIMESTAMP('2021-04-28T06:15:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1673, 'Silver', 11371, 1, 0, 5, 1137.18, 227.44, TO_DATE('2021-10-17', 'YYYY-MM-DD'), 1501, 'Online', 1.09, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (112, 'Brooks Craker', 'brooks.craker@internalmail', 'Female', TO_DATE('1973-04-06', 'YYYY-MM-DD'), 52, '+1-322-219-4092', TO_TIMESTAMP('2021-08-20T20:01:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1558, 'Bronze', 5340, 1, 1, 2, 534.08, 267.04, TO_DATE('2021-11-06', 'YYYY-MM-DD'), 1481, 'Online', 0.47, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (113, 'Ruthann Nixa', 'ruthann.nixa@internalmail', 'Non-binary', TO_DATE('1966-02-18', 'YYYY-MM-DD'), 59, '+1-424-115-5710', TO_TIMESTAMP('2021-08-13T08:53:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1566, 'Bronze', 1767, 1, 0, 1, 176.76, 176.76, TO_DATE('2021-08-13', 'YYYY-MM-DD'), 1566, 'Online', 0.23, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (114, 'Kenny Campobasso', 'kenny.campobasso@internalmail', 'Male', TO_DATE('2009-01-11', 'YYYY-MM-DD'), 16, '+1-221-573-3410', TO_TIMESTAMP('2021-06-27T09:22:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1613, 'Bronze', 4329, 1, 1, 4, 432.93, 108.23, TO_DATE('2022-01-10', 'YYYY-MM-DD'), 1416, 'Online', 0.91, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (115, 'Hildred Donnel', 'hildred.donnel@internalmail', 'Female', TO_DATE('2007-10-12', 'YYYY-MM-DD'), 18, '+1-656-505-2357', TO_TIMESTAMP('2021-03-12T13:27:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1719, 'Silver', 14523, 1, 0, 8, 1452.31, 181.54, TO_DATE('2021-11-05', 'YYYY-MM-DD'), 1482, 'Online', 1.7, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (116, 'Luther Ardinger', 'luther.ardinger@internalmail', 'Non-binary', TO_DATE('2005-03-13', 'YYYY-MM-DD'), 20, '+1-398-365-1597', TO_TIMESTAMP('2021-03-10T21:37:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1721, 'Silver', 9088, 1, 1, 6, 908.88, 151.48, TO_DATE('2022-03-24', 'YYYY-MM-DD'), 1343, 'Online, Tel Aviv', 1.27, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (117, 'Rhoda Hasfjord', 'rhoda.hasfjord@internalmail', 'Male', TO_DATE('2003-08-26', 'YYYY-MM-DD'), 22, '+1-847-390-3571', TO_TIMESTAMP('2021-04-22T15:03:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1678, 'Bronze', 7796, 1, 0, 3, 779.62, 259.87, TO_DATE('2021-05-05', 'YYYY-MM-DD'), 1666, 'Online', 0.65, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (118, 'Cori Ablin', 'cori.ablin@internalmail', 'Female', TO_DATE('2001-09-13', 'YYYY-MM-DD'), 24, '+1-592-397-1888', TO_TIMESTAMP('2021-07-09T03:56:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1601, 'Silver', 19647, 1, 1, 8, 1964.77, 245.6, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'Online, San Francisco', 1.82, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (79, 'Dean Bollich', 'dean.bollich@internalmail', 'Female', TO_DATE('1969-12-31', 'YYYY-MM-DD'), 55, '+1-927-738-5459', TO_TIMESTAMP('2021-07-05T09:31:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1605, 'Silver', 6727, 1, 0, 5, 672.78, 134.56, TO_DATE('2022-03-24', 'YYYY-MM-DD'), 1343, 'Bejing, Online', 1.14, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (80, 'Milo Manoni', 'milo.manoni@internalmail', 'Non-binary', TO_DATE('1965-08-31', 'YYYY-MM-DD'), 60, '+1-971-660-8965', TO_TIMESTAMP('2021-03-01T22:55:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1730, 'Silver', 10568, 1, 1, 5, 1056.89, 211.38, TO_DATE('2022-03-26', 'YYYY-MM-DD'), 1341, 'Online, Tokyo', 1.05, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (81, 'Laurice Karl', 'laurice.karl@internalmail', 'Male', TO_DATE('2007-12-15', 'YYYY-MM-DD'), 17, '+1-239-969-1591', TO_TIMESTAMP('2021-03-02T15:53:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1729, 'Bronze', 3263, 1, 0, 2, 326.32, 163.16, TO_DATE('2021-03-13', 'YYYY-MM-DD'), 1719, 'Online', 0.42, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (82, 'August Rupel', 'august.rupel@internalmail', 'Female', TO_DATE('1964-01-26', 'YYYY-MM-DD'), 61, '+1-630-908-6573', TO_TIMESTAMP('2021-08-06T00:40:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1573, 'Bronze', 2102, 1, 1, 2, 210.22, 105.11, TO_DATE('2022-02-02', 'YYYY-MM-DD'), 1393, 'Online', 0.46, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (83, 'Salome Guisti', 'salome.guisti@internalmail', 'Non-binary', TO_DATE('1975-09-30', 'YYYY-MM-DD'), 50, '+1-947-839-1625', TO_TIMESTAMP('2022-01-04T16:01:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1421, 'Bronze', 2845, 1, 0, 2, 284.53, 142.27, TO_DATE('2022-01-31', 'YYYY-MM-DD'), 1395, 'Online', 0.51, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (84, 'Lovie Ritacco', 'lovie.ritacco@internalmail', 'Male', TO_DATE('1964-07-09', 'YYYY-MM-DD'), 61, '+1-452-288-4459', TO_TIMESTAMP('2021-03-17T09:37:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1715, 'Bronze', 3499, 1, 1, 2, 349.9, 174.95, TO_DATE('2021-07-08', 'YYYY-MM-DD'), 1602, 'Online', 0.43, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (85, 'Chaya Greczkowski', 'chaya.greczkowski@internalmail', 'Female', TO_DATE('1983-10-25', 'YYYY-MM-DD'), 42, '+1-888-400-6547', TO_TIMESTAMP('2021-09-19T15:07:32Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1528, 'Bronze', 2121, 1, 0, 2, 212.18, 106.09, TO_DATE('2021-12-20', 'YYYY-MM-DD'), 1437, 'Online', 0.48, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (86, 'Twila Coolbeth', 'twila.coolbeth@internalmail', 'Non-binary', TO_DATE('2005-09-26', 'YYYY-MM-DD'), 20, '+1-687-203-3533', TO_TIMESTAMP('2021-03-23T06:23:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1709, 'Bronze', 3566, 1, 1, 3, 356.64, 118.88, TO_DATE('2022-02-14', 'YYYY-MM-DD'), 1381, 'Online', 0.64, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (87, 'Carlotta Achenbach', 'carlotta.achenbach@internalmail', 'Male', TO_DATE('1967-11-04', 'YYYY-MM-DD'), 58, '+1-556-958-4856', TO_TIMESTAMP('2021-06-04T01:07:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1636, 'Silver', 9313, 1, 0, 7, 931.39, 133.06, TO_DATE('2022-04-03', 'YYYY-MM-DD'), 1333, 'Online, Tel Aviv', 1.56, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (88, 'Jeraldine Audet', 'jeraldine.audet@internalmail', 'Female', TO_DATE('1989-10-04', 'YYYY-MM-DD'), 36, '+1-341-504-1452', TO_TIMESTAMP('2021-07-09T06:10:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1601, 'Bronze', 2023, 1, 1, 2, 202.36, 101.18, TO_DATE('2021-09-22', 'YYYY-MM-DD'), 1526, 'Online', 0.46, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (89, 'August Arouri', 'august.arouri@internalmail', 'Non-binary', TO_DATE('1980-08-31', 'YYYY-MM-DD'), 45, '+1-386-312-6022', TO_TIMESTAMP('2021-05-31T20:01:21Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1639, 'Bronze', 4012, 1, 0, 3, 401.24, 133.75, TO_DATE('2022-01-13', 'YYYY-MM-DD'), 1413, 'Online, San Francisco', 0.67, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (90, 'Ward Stepney', 'ward.stepney@internalmail', 'Male', TO_DATE('1979-08-31', 'YYYY-MM-DD'), 46, '+1-948-415-3074', TO_TIMESTAMP('2021-04-20T01:52:47Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1681, 'Silver', 8205, 1, 1, 5, 820.57, 164.11, TO_DATE('2022-01-22', 'YYYY-MM-DD'), 1404, 'Online, Seattle', 1.09, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (91, 'Ayana Barkhurst', 'ayana.barkhurst@internalmail', 'Female', TO_DATE('1994-03-12', 'YYYY-MM-DD'), 31, '+1-331-830-3226', TO_TIMESTAMP('2021-04-07T03:36:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1694, 'Silver', 11152, 1, 0, 6, 1115.29, 185.88, TO_DATE('2022-01-22', 'YYYY-MM-DD'), 1404, 'New York City, Online', 1.29, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (92, 'Luana Berends', 'luana.berends@internalmail', 'Non-binary', TO_DATE('1993-11-24', 'YYYY-MM-DD'), 32, '+1-826-699-1649', TO_TIMESTAMP('2021-10-26T12:19:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1491, 'Silver', 11175, 1, 1, 5, 1117.58, 223.52, TO_DATE('2022-02-09', 'YYYY-MM-DD'), 1386, 'Chicago, Online', 1.22, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (93, 'Lecia Alvino', 'lecia.alvino@internalmail', 'Male', TO_DATE('1979-05-22', 'YYYY-MM-DD'), 46, '+1-480-854-3960', TO_TIMESTAMP('2021-04-26T23:30:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1674, 'Bronze', 6477, 1, 0, 4, 647.76, 161.94, TO_DATE('2022-01-08', 'YYYY-MM-DD'), 1418, 'London, Online', 0.87, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (94, 'Joleen Himmelmann', 'joleen.himmelmann@internalmail', 'Female', TO_DATE('1997-01-10', 'YYYY-MM-DD'), 28, '+1-444-692-5954', TO_TIMESTAMP('2021-04-04T02:37:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1697, 'Bronze', 6841, 1, 1, 4, 684.18, 171.05, TO_DATE('2022-02-11', 'YYYY-MM-DD'), 1384, 'Bucharest, Online', 0.86, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (95, 'Monty Kinnamon', 'monty.kinnamon@internalmail', 'Non-binary', TO_DATE('1970-03-05', 'YYYY-MM-DD'), 55, '+1-410-367-3518', TO_TIMESTAMP('2021-05-09T13:13:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1661, 'Bronze', 2447, 1, 0, 3, 244.72, 81.57, TO_DATE('2021-11-19', 'YYYY-MM-DD'), 1468, 'Berlin, Online', 0.66, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (96, 'Dania Grizzard', 'dania.grizzard@internalmail', 'Male', TO_DATE('1999-04-09', 'YYYY-MM-DD'), 26, '+1-921-666-1828', TO_TIMESTAMP('2021-03-24T10:38:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1708, 'Bronze', 3306, 1, 1, 2, 330.69, 165.35, TO_DATE('2021-10-30', 'YYYY-MM-DD'), 1488, 'Online, Utrecht', 0.43, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (97, 'Inez Yamnitz', 'inez.yamnitz@internalmail', 'Female', TO_DATE('1962-09-27', 'YYYY-MM-DD'), 63, '+1-352-603-8033', TO_TIMESTAMP('2021-08-01T05:44:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1578, 'Bronze', 8043, 1, 0, 4, 804.31, 201.08, TO_DATE('2021-12-12', 'YYYY-MM-DD'), 1445, 'Madrid, Online', 0.93, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (98, 'Fidel Creps', 'fidel.creps@internalmail', 'Non-binary', TO_DATE('1975-03-07', 'YYYY-MM-DD'), 50, '+1-577-817-4828', TO_TIMESTAMP('2021-05-02T20:47:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1668, 'Bronze', 7331, 1, 1, 4, 733.12, 183.28, TO_DATE('2021-12-04', 'YYYY-MM-DD'), 1453, 'Johannesburg, Online', 0.88, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (99, 'Luis Pothoven', 'luis.pothoven@internalmail', 'Male', TO_DATE('1989-04-02', 'YYYY-MM-DD'), 36, '+1-970-416-8937', TO_TIMESTAMP('2021-02-24T11:44:43Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1736, 'Silver', 5576, 1, 0, 5, 557.62, 111.52, TO_DATE('2021-12-30', 'YYYY-MM-DD'), 1427, 'Lagos, Online', 1.05, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (100, 'Bernardo Phoenix', 'bernardo.phoenix@internalmail', 'Female', TO_DATE('1975-10-01', 'YYYY-MM-DD'), 50, '+1-575-478-2565', TO_TIMESTAMP('2021-04-17T18:04:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1683, 'Silver', 8975, 1, 1, 8, 897.52, 112.19, TO_DATE('2022-01-23', 'YYYY-MM-DD'), 1403, 'Online, Vienna', 1.73, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (200, 'Jessika Doorn', 'jessika.doorn@internalmail', 'Non-binary', TO_DATE('1981-02-28', 'YYYY-MM-DD'), 44, '+1-374-398-8162', TO_TIMESTAMP('2021-03-22T00:08:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1710, 'Bronze', 3141, 1, 1, 2, 314.16, 157.08, TO_DATE('2021-07-14', 'YYYY-MM-DD'), 1596, 'Online', 0.43, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (300, 'Sandra Bass', 'sandra.bass@internalmail', 'Male', TO_DATE('1992-07-09', 'YYYY-MM-DD'), 33, '+1-276-734-5566', TO_TIMESTAMP('2021-04-18T23:15:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1682, 'Silver', 11883, 1, 1, 9, 1188.3, 132.03, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Madrid, Online', 1.95, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (125, 'Joseph Wilke', 'joseph.wilke@internalmail', 'Non-binary', TO_DATE('1980-01-22', 'YYYY-MM-DD'), 45, '+1-906-957-4751', TO_TIMESTAMP('2021-06-20T04:31:32Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1620, 'Bronze', 4019, 1, 0, 4, 401.93, 100.48, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'Online, Utrecht', 0.9, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (126, 'Nella Rupnick', 'nella.rupnick@internalmail', 'Male', TO_DATE('2009-10-13', 'YYYY-MM-DD'), 16, '+1-794-111-5954', TO_TIMESTAMP('2021-03-03T09:30:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1729, 'Silver', 8892, 1, 1, 5, 889.25, 177.85, TO_DATE('2021-11-21', 'YYYY-MM-DD'), 1466, 'Madrid, Online', 1.06, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (127, 'Azalee Goodwater', 'azalee.goodwater@internalmail', 'Female', TO_DATE('2007-10-22', 'YYYY-MM-DD'), 18, '+1-901-562-6094', TO_TIMESTAMP('2021-02-23T13:25:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1736, 'Silver', 8190, 1, 0, 6, 819.0, 136.5, TO_DATE('2022-01-06', 'YYYY-MM-DD'), 1420, 'Johannesburg, Online', 1.26, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (128, 'Stefany Waninger', 'stefany.waninger@internalmail', 'Non-binary', TO_DATE('2005-12-31', 'YYYY-MM-DD'), 19, '+1-892-122-8996', TO_TIMESTAMP('2021-11-15T01:49:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1472, 'Bronze', 8931, 1, 1, 4, 893.13, 223.28, TO_DATE('2022-02-02', 'YYYY-MM-DD'), 1393, 'Lagos, Online', 0.99, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (129, 'Arron Waclawski', 'arron.waclawski@internalmail', 'Male', TO_DATE('2007-12-08', 'YYYY-MM-DD'), 17, '+1-362-286-4325', TO_TIMESTAMP('2021-11-09T08:01:41Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1478, 'Bronze', 7302, 1, 0, 4, 730.21, 182.55, TO_DATE('2022-01-30', 'YYYY-MM-DD'), 1396, 'Online, Vienna', 0.99, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (130, 'Boyd Rearden', 'boyd.rearden@internalmail', 'Female', TO_DATE('1998-04-20', 'YYYY-MM-DD'), 27, '+1-440-133-3389', TO_TIMESTAMP('2021-07-24T05:11:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1586, 'Silver', 7770, 1, 1, 5, 777.09, 155.42, TO_DATE('2022-01-29', 'YYYY-MM-DD'), 1397, 'Mumbai, Online', 1.15, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (149, 'Quinn Yerdon', 'quinn.yerdon@internalmail', 'Non-binary', TO_DATE('1977-04-22', 'YYYY-MM-DD'), 48, '+1-295-376-9086', TO_TIMESTAMP('2021-04-07T13:02:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1693, 'Silver', 8976, 1, 0, 5, 897.62, 179.52, TO_DATE('2022-02-15', 'YYYY-MM-DD'), 1380, 'New York City, Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (150, 'Meg Vetterkind', 'meg.vetterkind@internalmail', 'Male', TO_DATE('2009-01-04', 'YYYY-MM-DD'), 16, '+1-731-263-9324', TO_TIMESTAMP('2021-06-17T19:11:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1622, 'Bronze', 5830, 1, 1, 3, 583.0, 194.33, TO_DATE('2021-10-03', 'YYYY-MM-DD'), 1515, 'Chicago, Online', 0.68, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (151, 'Alex Binette', 'alex.binette@internalmail', 'Female', TO_DATE('1995-07-15', 'YYYY-MM-DD'), 30, '+1-826-291-4188', TO_TIMESTAMP('2021-03-30T19:34:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1701, 'Bronze', 6528, 1, 0, 3, 652.87, 217.62, TO_DATE('2021-12-04', 'YYYY-MM-DD'), 1453, 'London, Online', 0.64, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (152, 'Ali Brengle', 'ali.brengle@internalmail', 'Non-binary', TO_DATE('1978-08-21', 'YYYY-MM-DD'), 47, '+1-926-817-7452', TO_TIMESTAMP('2021-06-20T06:44:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1620, 'Silver', 16296, 1, 1, 7, 1629.67, 232.81, TO_DATE('2022-02-04', 'YYYY-MM-DD'), 1391, 'Bucharest, Online', 1.58, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (153, 'Jaimee Gammons', 'jaimee.gammons@internalmail', 'Male', TO_DATE('1994-05-09', 'YYYY-MM-DD'), 31, '+1-255-284-2909', TO_TIMESTAMP('2021-09-29T07:40:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1519, 'Silver', 3460, 1, 0, 5, 346.06, 69.21, TO_DATE('2021-12-02', 'YYYY-MM-DD'), 1455, 'Berlin, Online', 1.2, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (154, 'Alva Halajian', 'alva.halajian@internalmail', 'Female', TO_DATE('1979-08-01', 'YYYY-MM-DD'), 46, '+1-758-398-4936', TO_TIMESTAMP('2021-04-25T00:29:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1676, 'Silver', 14648, 1, 1, 7, 1464.82, 209.26, TO_DATE('2022-01-28', 'YYYY-MM-DD'), 1398, 'Online, Utrecht', 1.52, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (155, 'Latoria Siprasoeuth', 'latoria.siprasoeuth@internalmail', 'Non-binary', TO_DATE('2000-10-08', 'YYYY-MM-DD'), 25, '+1-557-193-7686', TO_TIMESTAMP('2021-03-24T02:01:00Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1708, 'Silver', 7594, 1, 0, 6, 759.4, 126.57, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'Madrid, Online', 1.28, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (156, 'Merlyn Summerford', 'merlyn.summerford@internalmail', 'Male', TO_DATE('2003-01-17', 'YYYY-MM-DD'), 22, '+1-284-653-7473', TO_TIMESTAMP('2021-04-21T22:38:17Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1679, 'Bronze', 7268, 1, 1, 4, 726.82, 181.71, TO_DATE('2022-01-16', 'YYYY-MM-DD'), 1410, 'Johannesburg, Online', 0.87, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (157, 'Nelson Koschnitzki', 'nelson.koschnitzki@internalmail', 'Female', TO_DATE('1995-06-13', 'YYYY-MM-DD'), 30, '+1-508-223-7015', TO_TIMESTAMP('2021-07-18T07:02:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1592, 'Silver', 15741, 1, 0, 8, 1574.12, 196.77, TO_DATE('2022-02-22', 'YYYY-MM-DD'), 1373, 'Lagos, Online', 1.83, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (158, 'Adeline Iannotti', 'adeline.iannotti@internalmail', 'Non-binary', TO_DATE('1986-10-30', 'YYYY-MM-DD'), 39, '+1-635-811-1928', TO_TIMESTAMP('2021-05-12T04:36:40Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1659, 'Bronze', 6940, 1, 1, 4, 694.0, 173.5, TO_DATE('2022-03-06', 'YYYY-MM-DD'), 1361, 'Online, Vienna', 0.88, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (159, 'Saul Mokry', 'saul.mokry@internalmail', 'Male', TO_DATE('1980-08-24', 'YYYY-MM-DD'), 45, '+1-920-513-2700', TO_TIMESTAMP('2021-05-17T12:10:20Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1653, 'Silver', 11559, 1, 0, 6, 1155.97, 192.66, TO_DATE('2022-03-09', 'YYYY-MM-DD'), 1358, 'Mumbai, Online', 1.32, 0, 'High Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (160, 'Laveta Wida', 'laveta.wida@internalmail', 'Female', TO_DATE('1963-03-23', 'YYYY-MM-DD'), 62, '+1-855-937-5940', TO_TIMESTAMP('2021-04-19T06:47:14Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1682, 'Silver', 7540, 1, 1, 6, 754.02, 125.67, TO_DATE('2022-03-01', 'YYYY-MM-DD'), 1366, 'New Dehli, Online', 1.3, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (161, 'Dexter Petiet', 'dexter.petiet@internalmail', 'Non-binary', TO_DATE('1967-02-08', 'YYYY-MM-DD'), 58, '+1-574-195-1912', TO_TIMESTAMP('2021-03-22T17:38:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1709, 'Silver', 12818, 1, 0, 8, 1281.82, 160.23, TO_DATE('2022-03-21', 'YYYY-MM-DD'), 1346, 'Online, Sydney', 1.71, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (162, 'Chet Morano', 'chet.morano@internalmail', 'Male', TO_DATE('1978-07-28', 'YYYY-MM-DD'), 47, '+1-915-860-4175', TO_TIMESTAMP('2021-03-13T05:28:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1719, 'Silver', 13141, 1, 1, 7, 1314.12, 187.73, TO_DATE('2022-02-21', 'YYYY-MM-DD'), 1374, 'Online, Perth', 1.49, 0, 'High Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (163, 'Jannie Thibideau', 'jannie.thibideau@internalmail', 'Female', TO_DATE('1972-03-22', 'YYYY-MM-DD'), 53, '+1-260-916-3472', TO_TIMESTAMP('2021-10-09T09:28:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1509, 'Bronze', 4517, 1, 0, 4, 451.79, 112.95, TO_DATE('2022-02-04', 'YYYY-MM-DD'), 1391, 'Online, São Paulo', 0.97, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (164, 'Janey Fornell', 'janey.fornell@internalmail', 'Non-binary', TO_DATE('1966-08-29', 'YYYY-MM-DD'), 59, '+1-254-295-7965', TO_TIMESTAMP('2021-07-13T17:14:47Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1596, 'Bronze', 3775, 1, 1, 3, 377.57, 125.86, TO_DATE('2022-03-28', 'YYYY-MM-DD'), 1339, 'Buenos Aires, Online', 0.69, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (165, 'Gerda Bartha', 'gerda.bartha@internalmail', 'Male', TO_DATE('1975-03-13', 'YYYY-MM-DD'), 50, '+1-917-283-7111', TO_TIMESTAMP('2021-10-09T04:22:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1509, 'Bronze', 5185, 1, 0, 4, 518.58, 129.65, TO_DATE('2022-04-04', 'YYYY-MM-DD'), 1332, 'Mexico City, Online', 0.97, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (166, 'Kristina Livshits', 'kristina.livshits@internalmail', 'Female', TO_DATE('1967-05-21', 'YYYY-MM-DD'), 58, '+1-444-587-8063', TO_TIMESTAMP('2021-05-04T18:14:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1666, 'Gold', 18738, 1, 1, 11, 1873.83, 170.35, TO_DATE('2022-03-25', 'YYYY-MM-DD'), 1342, 'Bejing, Online', 2.41, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (131, 'Erasmo Riviera', 'erasmo.riviera@internalmail', 'Non-binary', TO_DATE('1973-11-10', 'YYYY-MM-DD'), 52, '+1-861-762-3367', TO_TIMESTAMP('2021-03-11T15:23:33Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1720, 'Silver', 13571, 1, 0, 7, 1357.18, 193.88, TO_DATE('2022-02-18', 'YYYY-MM-DD'), 1377, 'New Dehli, Online', 1.49, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (132, 'Ambrose Hiday', 'ambrose.hiday@internalmail', 'Male', TO_DATE('1982-01-07', 'YYYY-MM-DD'), 43, '+1-982-374-3898', TO_TIMESTAMP('2021-09-21T16:09:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1526, 'Bronze', 5892, 1, 1, 3, 589.28, 196.43, TO_DATE('2022-02-28', 'YYYY-MM-DD'), 1367, 'Online, Sydney', 0.72, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (133, 'Horacio Rainbolt', 'horacio.rainbolt@internalmail', 'Female', TO_DATE('2002-11-30', 'YYYY-MM-DD'), 22, '+1-376-927-9600', TO_TIMESTAMP('2021-09-08T16:05:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1539, 'Silver', 13609, 1, 0, 5, 1360.96, 272.19, TO_DATE('2022-02-22', 'YYYY-MM-DD'), 1373, 'Online, Perth', 1.19, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (134, 'Taylor Cauchon', 'taylor.cauchon@internalmail', 'Non-binary', TO_DATE('2008-06-01', 'YYYY-MM-DD'), 17, '+1-641-847-7509', TO_TIMESTAMP('2021-07-10T21:37:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1599, 'Silver', 10180, 1, 1, 5, 1018.0, 203.6, TO_DATE('2022-02-12', 'YYYY-MM-DD'), 1383, 'Online, São Paulo', 1.14, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (135, 'Marc Domanski', 'marc.domanski@internalmail', 'Male', TO_DATE('1963-02-09', 'YYYY-MM-DD'), 62, '+1-808-236-2782', TO_TIMESTAMP('2021-03-15T08:04:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1717, 'Gold', 15267, 1, 0, 10, 1526.7, 152.67, TO_DATE('2022-03-12', 'YYYY-MM-DD'), 1355, 'Buenos Aires, Online', 2.13, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (136, 'Kaylene Lusco', 'kaylene.lusco@internalmail', 'Female', TO_DATE('1999-02-07', 'YYYY-MM-DD'), 26, '+1-610-721-4600', TO_TIMESTAMP('2021-09-15T04:15:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1533, 'Bronze', 7016, 1, 1, 4, 701.63, 175.41, TO_DATE('2022-04-05', 'YYYY-MM-DD'), 1331, 'Mexico City, Online', 0.95, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (137, 'Norris Michener', 'norris.michener@internalmail', 'Non-binary', TO_DATE('1982-12-07', 'YYYY-MM-DD'), 42, '+1-965-298-6628', TO_TIMESTAMP('2021-07-18T02:58:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1592, 'Bronze', 3239, 1, 0, 2, 323.92, 161.96, TO_DATE('2022-03-05', 'YYYY-MM-DD'), 1362, 'Bejing, Online', 0.46, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (138, 'Rob Kempt', 'rob.kempt@internalmail', 'Male', TO_DATE('1969-11-02', 'YYYY-MM-DD'), 56, '+1-654-986-3217', TO_TIMESTAMP('2021-12-11T19:30:30Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1445, 'Bronze', 5494, 1, 1, 4, 549.49, 137.37, TO_DATE('2022-03-25', 'YYYY-MM-DD'), 1342, 'Online, Tokyo', 1.01, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (139, 'Elaine Moncure', 'elaine.moncure@internalmail', 'Female', TO_DATE('1964-08-20', 'YYYY-MM-DD'), 61, '+1-565-567-5525', TO_TIMESTAMP('2021-03-05T00:33:33Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1727, 'Silver', 5312, 1, 0, 5, 531.22, 106.24, TO_DATE('2022-01-30', 'YYYY-MM-DD'), 1396, 'Online', 1.06, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (140, 'Joshua Disano', 'joshua.disano@internalmail', 'Non-binary', TO_DATE('1977-05-13', 'YYYY-MM-DD'), 48, '+1-688-419-6772', TO_TIMESTAMP('2021-07-28T03:51:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1582, 'Bronze', 3116, 1, 1, 2, 311.68, 155.84, TO_DATE('2022-02-19', 'YYYY-MM-DD'), 1376, 'Online', 0.46, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (141, 'Lai Kurtich', 'lai.kurtich@internalmail', 'Male', TO_DATE('2002-07-19', 'YYYY-MM-DD'), 23, '+1-242-413-4851', TO_TIMESTAMP('2021-05-22T11:37:30Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1649, 'Bronze', 5308, 1, 0, 4, 530.84, 132.71, TO_DATE('2022-02-23', 'YYYY-MM-DD'), 1372, 'Online', 0.89, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (142, 'Lucas Summerill', 'lucas.summerill@internalmail', 'Female', TO_DATE('1970-08-30', 'YYYY-MM-DD'), 55, '+1-310-499-3331', TO_TIMESTAMP('2021-05-06T12:43:49Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1664, 'Silver', 7883, 1, 1, 5, 788.33, 157.67, TO_DATE('2022-02-25', 'YYYY-MM-DD'), 1370, 'Online', 1.1, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (143, 'Vincent Hibberd', 'vincent.hibberd@internalmail', 'Non-binary', TO_DATE('1962-12-15', 'YYYY-MM-DD'), 62, '+1-369-911-8877', TO_TIMESTAMP('2021-07-22T23:13:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1587, 'Bronze', 3092, 1, 0, 2, 309.22, 154.61, TO_DATE('2021-07-29', 'YYYY-MM-DD'), 1581, 'Online', 0.46, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (144, 'Sharla Topper', 'sharla.topper@internalmail', 'Male', TO_DATE('2004-11-09', 'YYYY-MM-DD'), 21, '+1-661-339-8258', TO_TIMESTAMP('2021-03-01T18:38:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1730, 'Bronze', 3347, 1, 1, 2, 334.71, 167.36, TO_DATE('2021-11-12', 'YYYY-MM-DD'), 1475, 'Online', 0.42, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (145, 'Andrew Schieferstein', 'andrew.schieferstein@internalmail', 'Female', TO_DATE('1994-03-28', 'YYYY-MM-DD'), 31, '+1-467-706-1435', TO_TIMESTAMP('2021-05-11T10:02:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1660, 'Silver', 9966, 1, 0, 5, 996.62, 199.32, TO_DATE('2022-04-01', 'YYYY-MM-DD'), 1335, 'Online, Tel Aviv', 1.1, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (146, 'Rey Wada', 'rey.wada@internalmail', 'Non-binary', TO_DATE('2003-04-06', 'YYYY-MM-DD'), 22, '+1-970-785-3755', TO_TIMESTAMP('2021-03-27T08:54:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1705, 'Silver', 12535, 1, 1, 5, 1253.54, 250.71, TO_DATE('2021-12-10', 'YYYY-MM-DD'), 1447, 'Online', 1.07, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (147, 'Jonell Pecatoste', 'jonell.pecatoste@internalmail', 'Male', TO_DATE('1982-10-23', 'YYYY-MM-DD'), 43, '+1-406-564-4659', TO_TIMESTAMP('2021-06-12T07:27:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1628, 'Silver', 10939, 1, 0, 6, 1093.96, 182.33, TO_DATE('2022-01-21', 'YYYY-MM-DD'), 1405, 'Online, San Francisco', 1.35, 0, 'High Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (148, 'Kurtis Parham', 'kurtis.parham@internalmail', 'Female', TO_DATE('1961-08-02', 'YYYY-MM-DD'), 64, '+1-691-310-7742', TO_TIMESTAMP('2021-03-03T16:28:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1728, 'Silver', 9898, 1, 1, 5, 989.88, 197.98, TO_DATE('2022-01-30', 'YYYY-MM-DD'), 1396, 'Online, Seattle', 1.06, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (119, 'Reinaldo Feltner', 'reinaldo.feltner@internalmail', 'Non-binary', TO_DATE('1989-02-07', 'YYYY-MM-DD'), 36, '+1-666-544-2994', TO_TIMESTAMP('2021-02-26T17:43:17Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1733, 'Silver', 8062, 1, 0, 5, 806.22, 161.24, TO_DATE('2021-11-30', 'YYYY-MM-DD'), 1457, 'Online, Seattle', 1.05, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (120, 'Coralee Acerno', 'coralee.acerno@internalmail', 'Male', TO_DATE('1974-11-01', 'YYYY-MM-DD'), 51, '+1-450-630-1246', TO_TIMESTAMP('2021-05-28T01:06:47Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1643, 'Silver', 10187, 1, 1, 5, 1018.79, 203.76, TO_DATE('2021-09-19', 'YYYY-MM-DD'), 1529, 'New York City, Online', 1.11, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (121, 'Katherine Tagg', 'katherine.tagg@internalmail', 'Female', TO_DATE('1989-02-04', 'YYYY-MM-DD'), 36, '+1-879-597-8692', TO_TIMESTAMP('2021-03-12T23:47:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1719, 'Silver', 7226, 1, 0, 8, 722.68, 90.34, TO_DATE('2022-01-30', 'YYYY-MM-DD'), 1396, 'Chicago, Online', 1.7, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (122, 'Lenore Sullivan', 'lenore.sullivan@internalmail', 'Non-binary', TO_DATE('2008-05-14', 'YYYY-MM-DD'), 17, '+1-824-324-8117', TO_TIMESTAMP('2021-03-07T10:12:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1725, 'Silver', 15526, 1, 1, 6, 1552.61, 258.77, TO_DATE('2022-01-05', 'YYYY-MM-DD'), 1421, 'London, Online', 1.27, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (123, 'erda Sheer', 'erda.sheer@internalmail', 'Male', TO_DATE('1973-06-14', 'YYYY-MM-DD'), 52, '+1-831-359-5383', TO_TIMESTAMP('2021-04-15T05:43:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1686, 'Silver', 9352, 1, 0, 6, 935.22, 155.87, TO_DATE('2022-01-27', 'YYYY-MM-DD'), 1399, 'Bucharest, Online', 1.3, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (124, 'Pete Chevis', 'pete.chevis@internalmail', 'Female', TO_DATE('1975-04-21', 'YYYY-MM-DD'), 50, '+1-929-381-2534', TO_TIMESTAMP('2021-04-16T15:00:09Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1684, 'Silver', 8915, 1, 1, 5, 891.53, 178.31, TO_DATE('2021-10-12', 'YYYY-MM-DD'), 1506, 'Berlin, Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (191, 'Brandy Genco', 'brandy.genco@internalmail', 'Non-binary', TO_DATE('1992-01-03', 'YYYY-MM-DD'), 33, '+1-411-772-8415', TO_TIMESTAMP('2021-06-19T22:29:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1620, 'Bronze', 6513, 1, 0, 4, 651.36, 162.84, TO_DATE('2022-03-10', 'YYYY-MM-DD'), 1357, 'Online, Perth', 0.9, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (192, 'Jewel Pedroncelli', 'jewel.pedroncelli@internalmail', 'Male', TO_DATE('2000-01-25', 'YYYY-MM-DD'), 25, '+1-514-601-2846', TO_TIMESTAMP('2021-10-06T16:24:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1511, 'Silver', 8361, 1, 1, 5, 836.11, 167.22, TO_DATE('2022-02-07', 'YYYY-MM-DD'), 1388, 'Online, São Paulo', 1.21, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (193, 'Verda Puchalla', 'verda.puchalla@internalmail', 'Female', TO_DATE('1993-12-06', 'YYYY-MM-DD'), 31, '+1-304-228-7035', TO_TIMESTAMP('2021-03-12T00:53:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1720, 'Silver', 6027, 1, 0, 5, 602.77, 120.55, TO_DATE('2022-02-20', 'YYYY-MM-DD'), 1375, 'Buenos Aires, Online', 1.06, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (194, 'Norman Simon Lobregat', 'norman.s.lobregat@internalmail', 'Non-binary', TO_DATE('1966-03-26', 'YYYY-MM-DD'), 59, '+1-889-823-6159', TO_TIMESTAMP('2021-03-12T07:14:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1720, 'Silver', 10487, 1, 1, 6, 1048.71, 174.79, TO_DATE('2022-03-16', 'YYYY-MM-DD'), 1351, 'Mexico City, Online', 1.27, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (195, 'Tim Dominic Blasingim', 'tim.d.blasingim@internalmail', 'Male', TO_DATE('1988-07-12', 'YYYY-MM-DD'), 37, '+1-810-106-8335', TO_TIMESTAMP('2021-03-29T05:46:44Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1703, 'Bronze', 4704, 1, 0, 4, 470.42, 117.61, TO_DATE('2022-03-30', 'YYYY-MM-DD'), 1337, 'Bejing, Online', 0.86, 0, 'Low Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (196, 'Tim Genco', 'tim.genco@internalmail', 'Female', TO_DATE('2008-05-17', 'YYYY-MM-DD'), 17, '+1-362-817-1014', TO_TIMESTAMP('2021-06-26T12:27:40Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1613, 'Silver', 6304, 1, 1, 5, 630.42, 126.08, TO_DATE('2022-04-04', 'YYYY-MM-DD'), 1332, 'Online, Tokyo', 1.13, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (197, 'Hung Pedroncelli', 'hung.pedroncelli@internalmail', 'Non-binary', TO_DATE('1984-06-09', 'YYYY-MM-DD'), 41, '+1-495-232-8913', TO_TIMESTAMP('2021-08-19T22:56:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1559, 'Bronze', 3077, 1, 0, 1, 307.76, 307.76, TO_DATE('2021-08-19', 'YYYY-MM-DD'), 1560, 'Online', 0.23, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (198, 'Loyd Puchalla', 'loyd.puchalla@internalmail', 'Male', TO_DATE('2001-12-04', 'YYYY-MM-DD'), 23, '+1-641-457-7887', TO_TIMESTAMP('2021-08-13T20:26:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1565, 'Bronze', 3106, 1, 1, 3, 310.65, 103.55, TO_DATE('2021-12-27', 'YYYY-MM-DD'), 1430, 'Online', 0.7, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (199, 'Eustolia Temores', 'eustolia.temores@internalmail', 'Female', TO_DATE('1975-12-27', 'YYYY-MM-DD'), 49, '+1-651-118-4355', TO_TIMESTAMP('2021-09-05T00:59:01Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1543, 'Bronze', 3793, 1, 0, 3, 379.36, 126.45, TO_DATE('2022-01-18', 'YYYY-MM-DD'), 1408, 'Online', 0.71, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (201, 'Marvis Chou', 'marvis.chou@internalmail', 'Male', TO_DATE('2008-08-13', 'YYYY-MM-DD'), 17, '+1-951-704-6825', TO_TIMESTAMP('2021-10-23T01:49:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1495, 'Bronze', 1514, 1, 0, 1, 151.43, 151.43, TO_DATE('2021-10-23', 'YYYY-MM-DD'), 1495, 'Online', 0.24, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (202, 'Loyd Huckeba', 'loyd.huckeba@internalmail', 'Female', TO_DATE('1995-03-21', 'YYYY-MM-DD'), 30, '+1-960-507-6524', TO_TIMESTAMP('2021-04-10T07:38:06Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 8324, 1, 1, 5, 832.41, 166.48, TO_DATE('2022-01-20', 'YYYY-MM-DD'), 1406, 'Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (203, 'Leon Schoepfer', 'leon.schoepfer@internalmail', 'Non-binary', TO_DATE('1983-02-25', 'YYYY-MM-DD'), 42, '+1-523-621-4690', TO_TIMESTAMP('2021-06-12T11:07:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1628, 'Silver', 10304, 1, 0, 9, 1030.47, 114.5, TO_DATE('2022-04-10', 'YYYY-MM-DD'), 1326, 'Online, Tel Aviv', 2.02, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (204, 'Luigi Nored', 'luigi.nored@internalmail', 'Male', TO_DATE('1973-11-02', 'YYYY-MM-DD'), 52, '+1-853-436-3593', TO_TIMESTAMP('2021-04-10T13:43:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1690, 'Bronze', 5691, 1, 1, 4, 569.11, 142.28, TO_DATE('2021-09-19', 'YYYY-MM-DD'), 1529, 'Online', 0.86, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (205, 'Thaddeus Geneseo', 'thaddeus.geneseo@internalmail', 'Female', TO_DATE('2008-11-21', 'YYYY-MM-DD'), 17, '+1-855-573-5158', TO_TIMESTAMP('2021-05-16T07:41:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1655, 'Silver', 13223, 1, 0, 7, 1322.32, 188.9, TO_DATE('2022-02-07', 'YYYY-MM-DD'), 1388, 'Online, San Francisco', 1.54, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (206, 'Casey Chestand', 'casey.chestand@internalmail', 'Non-binary', TO_DATE('2009-05-29', 'YYYY-MM-DD'), 16, '+1-879-440-5894', TO_TIMESTAMP('2021-03-06T17:53:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1725, 'Silver', 14056, 1, 1, 8, 1405.68, 175.71, TO_DATE('2022-01-31', 'YYYY-MM-DD'), 1395, 'Online, Seattle', 1.69, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (207, 'Pete Carvallo', 'pete.carvallo@internalmail', 'Male', TO_DATE('1971-07-17', 'YYYY-MM-DD'), 54, '+1-679-803-8049', TO_TIMESTAMP('2021-06-23T09:26:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1617, 'Silver', 9707, 1, 0, 8, 970.7, 121.34, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'New York City, Online', 1.81, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (208, 'Angel Sakoda', 'angel.sakoda@internalmail', 'Female', TO_DATE('2005-09-01', 'YYYY-MM-DD'), 20, '+1-237-941-3249', TO_TIMESTAMP('2021-06-27T01:11:32Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1613, 'Bronze', 5618, 1, 1, 4, 561.87, 140.47, TO_DATE('2022-01-27', 'YYYY-MM-DD'), 1399, 'Chicago, Online', 0.91, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (209, 'Donnell Huttle', 'donnell.huttle@internalmail', 'Non-binary', TO_DATE('1965-10-21', 'YYYY-MM-DD'), 60, '+1-982-168-7149', TO_TIMESTAMP('2021-07-28T17:58:38Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1581, 'Silver', 5845, 1, 0, 5, 584.5, 116.9, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'London, Online', 1.15, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (167, 'Matilda Toedebusch', 'matilda.toedebusch@internalmail', 'Non-binary', TO_DATE('1961-07-29', 'YYYY-MM-DD'), 64, '+1-871-840-3782', TO_TIMESTAMP('2021-05-08T12:19:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1662, 'Bronze', 4499, 1, 0, 4, 449.99, 112.5, TO_DATE('2022-03-25', 'YYYY-MM-DD'), 1342, 'Online, Tokyo', 0.88, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (168, 'Ami Dardar', 'ami.dardar@internalmail', 'Male', TO_DATE('1985-10-06', 'YYYY-MM-DD'), 40, '+1-458-886-3479', TO_TIMESTAMP('2021-03-18T03:02:21Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1714, 'Bronze', 512, 1, 1, 1, 51.2, 51.2, TO_DATE('2021-03-18', 'YYYY-MM-DD'), 1714, 'Online', 0.21, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (169, 'Desmond Lifschitz', 'desmond.lifschitz@internalmail', 'Female', TO_DATE('2003-03-02', 'YYYY-MM-DD'), 22, '+1-240-128-7081', TO_TIMESTAMP('2021-06-16T15:22:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1623, 'Silver', 9872, 1, 0, 7, 987.2, 141.03, TO_DATE('2021-12-08', 'YYYY-MM-DD'), 1449, 'Online', 1.57, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (170, 'Marco Slivka', 'marco.slivka@internalmail', 'Non-binary', TO_DATE('1979-09-14', 'YYYY-MM-DD'), 46, '+1-559-153-4531', TO_TIMESTAMP('2021-10-22T00:27:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1496, 'Bronze', 5300, 1, 1, 2, 530.01, 265.01, TO_DATE('2022-02-09', 'YYYY-MM-DD'), 1386, 'Online', 0.49, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (171, 'Danica Riogas', 'danica.riogas@internalmail', 'Male', TO_DATE('1974-02-06', 'YYYY-MM-DD'), 51, '+1-232-174-2483', TO_TIMESTAMP('2021-09-03T14:23:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1544, 'Bronze', 7541, 1, 0, 4, 754.16, 188.54, TO_DATE('2022-01-15', 'YYYY-MM-DD'), 1411, 'Online', 0.95, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (172, 'Cathey Salen', 'cathey.salen@internalmail', 'Female', TO_DATE('1989-04-12', 'YYYY-MM-DD'), 36, '+1-263-958-8377', TO_TIMESTAMP('2021-04-01T21:11:42Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1699, 'Silver', 11504, 1, 1, 7, 1150.48, 164.35, TO_DATE('2022-01-01', 'YYYY-MM-DD'), 1425, 'Online', 1.5, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (173, 'Tabetha Florentino', 'tabetha.florentino@internalmail', 'Non-binary', TO_DATE('1973-09-02', 'YYYY-MM-DD'), 52, '+1-658-514-1105', TO_TIMESTAMP('2021-04-30T17:09:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1670, 'Bronze', 7197, 1, 0, 4, 719.7, 179.93, TO_DATE('2021-10-19', 'YYYY-MM-DD'), 1499, 'Online', 0.87, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (174, 'Daisy Liddicoat', 'daisy.liddicoat@internalmail', 'Male', TO_DATE('1984-11-19', 'YYYY-MM-DD'), 41, '+1-905-730-4832', TO_TIMESTAMP('2021-08-27T22:51:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1551, 'Bronze', 4167, 1, 1, 2, 416.78, 208.39, TO_DATE('2022-04-08', 'YYYY-MM-DD'), 1328, 'Online, Tel Aviv', 0.47, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (175, 'Jacklyn Niskala', 'jacklyn.niskala@internalmail', 'Female', TO_DATE('1991-05-22', 'YYYY-MM-DD'), 34, '+1-965-495-8180', TO_TIMESTAMP('2021-03-31T14:06:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1700, 'Silver', 7035, 1, 0, 5, 703.55, 140.71, TO_DATE('2022-01-14', 'YYYY-MM-DD'), 1412, 'Online', 1.07, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (176, 'Herb Tammen', 'herb.tammen@internalmail', 'Non-binary', TO_DATE('1994-05-01', 'YYYY-MM-DD'), 31, '+1-988-545-5048', TO_TIMESTAMP('2021-04-09T14:50:09Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Bronze', 5501, 1, 1, 4, 550.16, 137.54, TO_DATE('2022-02-27', 'YYYY-MM-DD'), 1368, 'Online, San Francisco', 0.86, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (177, 'Verlie Ashland', 'verlie.ashland@internalmail', 'Male', TO_DATE('1964-11-29', 'YYYY-MM-DD'), 60, '+1-615-463-7010', TO_TIMESTAMP('2021-09-09T14:18:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1538, 'Bronze', 4043, 1, 0, 3, 404.34, 134.78, TO_DATE('2022-02-18', 'YYYY-MM-DD'), 1377, 'Online, Seattle', 0.71, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (178, 'Jacklyn Clippard', 'jacklyn.clippard@internalmail', 'Female', TO_DATE('1992-02-11', 'YYYY-MM-DD'), 33, '+1-826-631-8021', TO_TIMESTAMP('2021-06-01T08:12:00Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1639, 'Bronze', 6220, 1, 1, 4, 622.01, 155.5, TO_DATE('2021-09-13', 'YYYY-MM-DD'), 1535, 'New York City, Online', 0.89, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (179, 'Verlie Bekerman', 'verlie.bekerman@internalmail', 'Non-binary', TO_DATE('2009-05-23', 'YYYY-MM-DD'), 16, '+1-515-655-2927', TO_TIMESTAMP('2021-04-25T08:41:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1676, 'Silver', 13174, 1, 0, 8, 1317.45, 164.68, TO_DATE('2022-02-20', 'YYYY-MM-DD'), 1375, 'Chicago, Online', 1.74, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (180, 'Teisha Grimstead', 'teisha.grimstead@internalmail', 'Male', TO_DATE('1976-01-31', 'YYYY-MM-DD'), 49, '+1-964-514-9645', TO_TIMESTAMP('2021-04-23T00:10:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1678, 'Bronze', 7273, 1, 1, 4, 727.35, 181.84, TO_DATE('2022-02-20', 'YYYY-MM-DD'), 1375, 'London, Online', 0.87, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (181, 'Scotty Goffredo', 'scotty.goffredo@internalmail', 'Female', TO_DATE('1996-07-27', 'YYYY-MM-DD'), 29, '+1-284-184-6366', TO_TIMESTAMP('2021-06-11T19:00:30Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1628, 'Bronze', 2886, 1, 0, 2, 288.66, 144.33, TO_DATE('2021-06-13', 'YYYY-MM-DD'), 1627, 'Bucharest, Online', 0.45, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (182, 'Nelson Golz', 'nelson.golz@internalmail', 'Non-binary', TO_DATE('1988-01-30', 'YYYY-MM-DD'), 37, '+1-224-619-3437', TO_TIMESTAMP('2021-04-23T01:45:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1678, 'Silver', 8996, 1, 1, 8, 899.62, 112.45, TO_DATE('2021-12-04', 'YYYY-MM-DD'), 1453, 'Berlin, Online', 1.74, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (183, 'Jewel Clippard', 'jewel.clippard@internalmail', 'Male', TO_DATE('1960-04-16', 'YYYY-MM-DD'), 65, '+1-290-697-7079', TO_TIMESTAMP('2021-05-03T18:11:41Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1667, 'Silver', 5378, 1, 0, 6, 537.83, 89.64, TO_DATE('2022-03-16', 'YYYY-MM-DD'), 1351, 'Online, Utrecht', 1.31, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (184, 'Rudolph Bekerman', 'rudolph.bekerman@internalmail', 'Female', TO_DATE('1982-07-14', 'YYYY-MM-DD'), 43, '+1-891-665-4781', TO_TIMESTAMP('2021-03-12T16:57:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1719, 'Silver', 10643, 1, 1, 5, 1064.37, 212.87, TO_DATE('2022-01-28', 'YYYY-MM-DD'), 1398, 'Madrid, Online', 1.06, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (185, 'Laurice Grimstead', 'laurice.grimstead@internalmail', 'Non-binary', TO_DATE('1961-07-14', 'YYYY-MM-DD'), 64, '+1-746-438-4371', TO_TIMESTAMP('2021-08-16T01:30:38Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1563, 'Silver', 6968, 1, 0, 6, 696.88, 116.15, TO_DATE('2022-01-15', 'YYYY-MM-DD'), 1411, 'Johannesburg, Online', 1.4, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (186, 'Laurice Goffredo', 'laurice.goffredo@internalmail', 'Male', TO_DATE('1983-07-16', 'YYYY-MM-DD'), 42, '+1-356-536-5953', TO_TIMESTAMP('2021-06-20T12:53:20Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1619, 'Silver', 6034, 1, 1, 5, 603.44, 120.69, TO_DATE('2021-12-13', 'YYYY-MM-DD'), 1444, 'Lagos, Online', 1.13, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (187, 'Scotty R Goffredo', 'scotty.r.goffredo@internalmail', 'Female', TO_DATE('1978-08-22', 'YYYY-MM-DD'), 47, '+1-300-672-3949', TO_TIMESTAMP('2021-03-23T05:10:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1709, 'Silver', 11245, 1, 0, 7, 1124.56, 160.65, TO_DATE('2022-03-14', 'YYYY-MM-DD'), 1353, 'Online, Vienna', 1.5, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (188, 'Emmett Golz', 'emmett.golz@internalmail', 'Non-binary', TO_DATE('1968-09-19', 'YYYY-MM-DD'), 57, '+1-777-114-2645', TO_TIMESTAMP('2021-05-10T17:35:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1660, 'Silver', 14936, 1, 1, 7, 1493.63, 213.38, TO_DATE('2022-01-25', 'YYYY-MM-DD'), 1401, 'Mumbai, Online', 1.54, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (189, 'Norman Lobregat', 'norman.lobregat@internalmail', 'Male', TO_DATE('1969-12-22', 'YYYY-MM-DD'), 55, '+1-962-680-6333', TO_TIMESTAMP('2021-04-17T21:24:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1683, 'Silver', 9149, 1, 0, 5, 914.91, 182.98, TO_DATE('2022-01-05', 'YYYY-MM-DD'), 1421, 'New Dehli, Online', 1.08, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (190, 'Tim Blasingim', 'tim.blasingim@internalmail', 'Female', TO_DATE('1970-01-03', 'YYYY-MM-DD'), 55, '+1-319-303-5291', TO_TIMESTAMP('2021-07-28T11:15:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1582, 'Silver', 13117, 1, 1, 7, 1311.76, 187.39, TO_DATE('2022-01-29', 'YYYY-MM-DD'), 1397, 'Online, Sydney', 1.62, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (216, 'Ruth Robinson', 'ruth.robinson@internalmail', 'Male', TO_DATE('1961-11-18', 'YYYY-MM-DD'), 64, '+1-829-617-7091', TO_TIMESTAMP('2021-04-11T01:00:20Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1690, 'Silver', 10366, 1, 1, 6, 1036.65, 172.78, TO_DATE('2022-01-22', 'YYYY-MM-DD'), 1404, 'Online, Vienna', 1.3, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (217, 'William Diaz', 'william.diaz@internalmail', 'Female', TO_DATE('1960-06-24', 'YYYY-MM-DD'), 65, '+1-344-600-5288', TO_TIMESTAMP('2021-03-10T02:51:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1722, 'Silver', 7492, 1, 0, 6, 749.25, 124.88, TO_DATE('2022-02-08', 'YYYY-MM-DD'), 1387, 'Mumbai, Online', 1.27, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (218, 'Susan Jenkins', 'susan.jenkins@internalmail', 'Non-binary', TO_DATE('2007-05-29', 'YYYY-MM-DD'), 18, '+1-445-201-8210', TO_TIMESTAMP('2021-08-04T05:43:41Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1575, 'Bronze', 7673, 1, 1, 4, 767.3, 191.83, TO_DATE('2022-01-28', 'YYYY-MM-DD'), 1398, 'New Dehli, Online', 0.93, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (219, 'Carol Barnes', 'carol.barnes@internalmail', 'Male', TO_DATE('2003-06-23', 'YYYY-MM-DD'), 22, '+1-575-819-3888', TO_TIMESTAMP('2021-03-22T06:48:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1710, 'Silver', 15358, 1, 0, 9, 1535.85, 170.65, TO_DATE('2022-03-13', 'YYYY-MM-DD'), 1354, 'Online, Sydney', 1.92, 0, 'High Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (220, 'Sarah Murphy', 'sarah.murphy@internalmail', 'Female', TO_DATE('1977-12-08', 'YYYY-MM-DD'), 47, '+1-841-803-2265', TO_TIMESTAMP('2021-04-25T12:50:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1675, 'Silver', 7692, 1, 1, 5, 769.28, 153.86, TO_DATE('2022-02-19', 'YYYY-MM-DD'), 1376, 'Online, Perth', 1.09, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (221, 'Dorothy Gray', 'dorothy.gray@internalmail', 'Non-binary', TO_DATE('1973-02-21', 'YYYY-MM-DD'), 52, '+1-833-172-8347', TO_TIMESTAMP('2021-05-01T01:50:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1670, 'Bronze', 9290, 1, 0, 4, 929.01, 232.25, TO_DATE('2022-02-16', 'YYYY-MM-DD'), 1379, 'Online, São Paulo', 0.87, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (240, 'Edmund Hikel', 'edmund.hikel@internalmail', 'Male', TO_DATE('1998-05-01', 'YYYY-MM-DD'), 27, '+1-426-476-5178', TO_TIMESTAMP('2021-05-03T18:53:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1667, 'Silver', 6203, 1, 1, 5, 620.32, 124.06, TO_DATE('2022-03-07', 'YYYY-MM-DD'), 1360, 'Berlin, Online', 1.09, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (241, 'Jolene Johannesen', 'jolene.johannesen@internalmail', 'Female', TO_DATE('1962-08-18', 'YYYY-MM-DD'), 63, '+1-524-275-6512', TO_TIMESTAMP('2021-04-22T11:32:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1679, 'Silver', 11331, 1, 0, 7, 1133.14, 161.88, TO_DATE('2022-02-22', 'YYYY-MM-DD'), 1373, 'Online, Utrecht', 1.52, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (242, 'Raymon Survant', 'raymon.survant@internalmail', 'Non-binary', TO_DATE('1980-05-02', 'YYYY-MM-DD'), 45, '+1-321-211-1737', TO_TIMESTAMP('2021-06-04T02:07:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1636, 'Silver', 12045, 1, 1, 5, 1204.5, 240.9, TO_DATE('2022-03-09', 'YYYY-MM-DD'), 1358, 'Madrid, Online', 1.12, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (243, 'Reyes Paczkowski', 'reyes.paczkowski@internalmail', 'Male', TO_DATE('1996-09-04', 'YYYY-MM-DD'), 29, '+1-683-100-6989', TO_TIMESTAMP('2021-07-15T23:11:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1594, 'Bronze', 2517, 1, 0, 3, 251.79, 83.93, TO_DATE('2022-02-13', 'YYYY-MM-DD'), 1382, 'Johannesburg, Online', 0.69, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (244, 'Freddie Kirkhart', 'freddie.kirkhart@internalmail', 'Female', TO_DATE('1978-01-29', 'YYYY-MM-DD'), 47, '+1-453-647-2620', TO_TIMESTAMP('2021-03-19T12:14:18Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1712, 'Silver', 9332, 1, 1, 8, 933.28, 116.66, TO_DATE('2022-02-17', 'YYYY-MM-DD'), 1378, 'Lagos, Online', 1.71, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (245, 'Jamison Scrobola', 'jamison.scrobola@internalmail', 'Non-binary', TO_DATE('1963-12-01', 'YYYY-MM-DD'), 61, '+1-462-767-4906', TO_TIMESTAMP('2021-04-20T07:37:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1681, 'Silver', 9896, 1, 0, 5, 989.64, 197.93, TO_DATE('2022-01-04', 'YYYY-MM-DD'), 1422, 'Online, Vienna', 1.09, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (246, 'Rasheeda Teegarden', 'rasheeda.teegarden@internalmail', 'Male', TO_DATE('2008-07-14', 'YYYY-MM-DD'), 17, '+1-625-369-2017', TO_TIMESTAMP('2021-04-17T15:18:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1683, 'Silver', 9229, 1, 1, 6, 922.99, 153.83, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Mumbai, Online', 1.3, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (247, 'Haywood Burd', 'haywood.burd@internalmail', 'Female', TO_DATE('1983-03-26', 'YYYY-MM-DD'), 42, '+1-534-216-5510', TO_TIMESTAMP('2021-03-25T01:40:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1707, 'Bronze', 4599, 1, 0, 4, 459.97, 114.99, TO_DATE('2022-02-01', 'YYYY-MM-DD'), 1394, 'New Dehli, Online', 0.86, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (248, 'Eldon Lannon', 'eldon.lannon@internalmail', 'Non-binary', TO_DATE('1975-12-29', 'YYYY-MM-DD'), 49, '+1-843-812-4729', TO_TIMESTAMP('2021-07-17T18:24:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1592, 'Silver', 7235, 1, 1, 6, 723.57, 120.6, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Online, Sydney', 1.38, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (249, 'Marissa Pontius', 'marissa.pontius@internalmail', 'Male', TO_DATE('1999-06-11', 'YYYY-MM-DD'), 26, '+1-891-563-5367', TO_TIMESTAMP('2021-03-27T20:02:49Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1704, 'Silver', 7129, 1, 0, 5, 712.95, 142.59, TO_DATE('2022-01-05', 'YYYY-MM-DD'), 1421, 'Online, Perth', 1.07, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (250, 'Otha Murton', 'otha.murton@internalmail', 'Female', TO_DATE('2006-09-03', 'YYYY-MM-DD'), 19, '+1-439-800-7348', TO_TIMESTAMP('2021-06-27T14:23:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1612, 'Silver', 8342, 1, 1, 5, 834.29, 166.86, TO_DATE('2022-02-26', 'YYYY-MM-DD'), 1369, 'Online, São Paulo', 1.13, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (251, 'Dannie McCoin', 'dannie.mccoin@internalmail', 'Non-binary', TO_DATE('1985-05-23', 'YYYY-MM-DD'), 40, '+1-790-712-8440', TO_TIMESTAMP('2021-07-24T00:21:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1586, 'Bronze', 5580, 1, 0, 4, 558.06, 139.52, TO_DATE('2022-03-06', 'YYYY-MM-DD'), 1361, 'Buenos Aires, Online', 0.92, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (252, 'Trey Gorham', 'trey.gorham@internalmail', 'Male', TO_DATE('1987-08-05', 'YYYY-MM-DD'), 38, '+1-627-862-4585', TO_TIMESTAMP('2021-05-07T18:29:01Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1663, 'Bronze', 5464, 1, 1, 3, 546.4, 182.13, TO_DATE('2022-03-21', 'YYYY-MM-DD'), 1346, 'Mexico City, Online', 0.66, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (253, 'Nanci Bunt', 'nanci.bunt@internalmail', 'Female', TO_DATE('1976-06-04', 'YYYY-MM-DD'), 49, '+1-851-637-7845', TO_TIMESTAMP('2021-04-25T20:21:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1675, 'Silver', 9561, 1, 0, 6, 956.1, 159.35, TO_DATE('2022-03-19', 'YYYY-MM-DD'), 1348, 'Bejing, Online', 1.31, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (254, 'Will Parliman', 'will.parliman@internalmail', 'Non-binary', TO_DATE('2004-01-06', 'YYYY-MM-DD'), 21, '+1-925-285-4590', TO_TIMESTAMP('2021-04-13T20:44:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1687, 'Silver', 11428, 1, 1, 7, 1142.87, 163.27, TO_DATE('2022-04-05', 'YYYY-MM-DD'), 1331, 'Online, Tokyo', 1.51, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (255, 'Justin Dorff', 'justin.dorff@internalmail', 'Male', TO_DATE('1979-06-15', 'YYYY-MM-DD'), 46, '+1-578-316-8453', TO_TIMESTAMP('2021-10-13T00:51:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1505, 'Bronze', 4778, 1, 0, 2, 477.86, 238.93, TO_DATE('2021-12-20', 'YYYY-MM-DD'), 1437, 'Online', 0.49, 0, 'Low Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (256, 'Wyatt Tschache', 'wyatt.tschache@internalmail', 'Female', TO_DATE('1963-10-31', 'YYYY-MM-DD'), 62, '+1-491-894-4074', TO_TIMESTAMP('2021-07-13T01:57:01Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1597, 'Bronze', 8734, 1, 1, 4, 873.4, 218.35, TO_DATE('2022-03-09', 'YYYY-MM-DD'), 1358, 'Online', 0.91, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (257, 'Chong Carpinelli', 'chong.carpinelli@internalmail', 'Non-binary', TO_DATE('1978-01-29', 'YYYY-MM-DD'), 47, '+1-501-519-3365', TO_TIMESTAMP('2021-06-05T05:06:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1635, 'Silver', 9206, 1, 0, 7, 920.69, 131.53, TO_DATE('2022-02-18', 'YYYY-MM-DD'), 1377, 'Online', 1.56, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (222, 'Ruth Graham', 'ruth.graham@internalmail', 'Male', TO_DATE('1981-09-02', 'YYYY-MM-DD'), 44, '+1-895-737-7380', TO_TIMESTAMP('2021-09-21T21:30:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1526, 'Silver', 4375, 1, 1, 5, 437.56, 87.51, TO_DATE('2022-02-26', 'YYYY-MM-DD'), 1369, 'Buenos Aires, Online', 1.2, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (223, 'Robert West', 'robert.west@internalmail', 'Female', TO_DATE('2004-05-23', 'YYYY-MM-DD'), 21, '+1-500-997-9169', TO_TIMESTAMP('2021-06-12T08:58:36Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1628, 'Silver', 8511, 1, 0, 5, 851.11, 170.22, TO_DATE('2022-03-13', 'YYYY-MM-DD'), 1354, 'Mexico City, Online', 1.12, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (224, 'Carol Metrick', 'carol.metrick@internalmail', 'Non-binary', TO_DATE('1993-08-17', 'YYYY-MM-DD'), 32, '+1-471-654-4317', TO_TIMESTAMP('2021-03-16T01:21:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1716, 'Silver', 4393, 1, 1, 6, 439.32, 73.22, TO_DATE('2022-03-29', 'YYYY-MM-DD'), 1338, 'Bejing, Online', 1.28, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (225, 'Li Robleto', 'li.robleto@internalmail', 'Male', TO_DATE('1977-06-11', 'YYYY-MM-DD'), 48, '+1-354-655-2906', TO_TIMESTAMP('2021-04-03T23:02:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1697, 'Silver', 11158, 1, 0, 6, 1115.84, 185.97, TO_DATE('2022-04-01', 'YYYY-MM-DD'), 1335, 'Online, Tokyo', 1.29, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (226, 'Bert Takes', 'bert.takes@internalmail', 'Female', TO_DATE('1978-08-10', 'YYYY-MM-DD'), 47, '+1-607-126-3734', TO_TIMESTAMP('2021-04-03T10:11:21Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1698, 'Silver', 7203, 1, 1, 5, 720.35, 144.07, TO_DATE('2022-02-02', 'YYYY-MM-DD'), 1393, 'Online', 1.07, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (227, 'Son McLagan', 'son.mclagan@internalmail', 'Non-binary', TO_DATE('1980-06-28', 'YYYY-MM-DD'), 45, '+1-823-143-3227', TO_TIMESTAMP('2021-03-16T17:21:33Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1715, 'Silver', 11110, 1, 0, 5, 1111.04, 222.21, TO_DATE('2022-01-18', 'YYYY-MM-DD'), 1408, 'Online', 1.06, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (228, 'Van Seaforth', 'van.seaforth@internalmail', 'Male', TO_DATE('1963-03-23', 'YYYY-MM-DD'), 62, '+1-757-266-9423', TO_TIMESTAMP('2021-04-24T01:48:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1677, 'Silver', 7974, 1, 1, 5, 797.42, 159.48, TO_DATE('2022-02-16', 'YYYY-MM-DD'), 1379, 'Online', 1.09, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (229, 'Florance Bateman', 'florance.bateman@internalmail', 'Female', TO_DATE('1973-03-23', 'YYYY-MM-DD'), 52, '+1-461-927-8044', TO_TIMESTAMP('2021-03-15T13:35:30Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1716, 'Silver', 12748, 1, 0, 6, 1274.88, 212.48, TO_DATE('2022-01-20', 'YYYY-MM-DD'), 1406, 'Online', 1.28, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (230, 'Bridgette Crevier', 'bridgette.crevier@internalmail', 'Non-binary', TO_DATE('1991-12-29', 'YYYY-MM-DD'), 33, '+1-222-290-3348', TO_TIMESTAMP('2022-01-20T10:45:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1406, 'Bronze', 446, 1, 1, 1, 44.69, 44.69, TO_DATE('2022-01-20', 'YYYY-MM-DD'), 1406, 'Online', 0.26, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (231, 'Murray Vicario', 'murray.vicario@internalmail', 'Male', TO_DATE('2006-06-18', 'YYYY-MM-DD'), 19, '+1-731-653-1747', TO_TIMESTAMP('2021-09-09T16:04:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1538, 'Bronze', 4937, 1, 0, 4, 493.79, 123.45, TO_DATE('2022-02-10', 'YYYY-MM-DD'), 1385, 'Online', 0.95, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (232, 'Loris Thibadeau', 'loris.thibadeau@internalmail', 'Female', TO_DATE('1985-11-08', 'YYYY-MM-DD'), 40, '+1-841-232-4722', TO_TIMESTAMP('2022-01-01T20:05:42Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1424, 'Bronze', 4629, 1, 1, 3, 462.98, 154.33, TO_DATE('2022-04-03', 'YYYY-MM-DD'), 1333, 'Online, Tel Aviv', 0.77, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (233, 'Lakia Fitzen', 'lakia.fitzen@internalmail', 'Non-binary', TO_DATE('1985-03-22', 'YYYY-MM-DD'), 40, '+1-959-177-6733', TO_TIMESTAMP('2021-12-06T09:43:09Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1451, 'Bronze', 4691, 1, 0, 2, 469.18, 234.59, TO_DATE('2022-01-18', 'YYYY-MM-DD'), 1408, 'Online', 0.5, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (234, 'Angelo Carreon', 'angelo.carreon@internalmail', 'Male', TO_DATE('1969-12-22', 'YYYY-MM-DD'), 55, '+1-407-557-1453', TO_TIMESTAMP('2021-06-19T00:50:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1621, 'Silver', 12133, 1, 1, 9, 1213.33, 134.81, TO_DATE('2022-02-25', 'YYYY-MM-DD'), 1370, 'Online, San Francisco', 2.03, 0, 'High Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (235, 'Collene Guderjahn', 'collene.guderjahn@internalmail', 'Female', TO_DATE('1994-12-31', 'YYYY-MM-DD'), 30, '+1-840-117-9948', TO_TIMESTAMP('2021-03-27T07:48:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1705, 'Silver', 12382, 1, 0, 8, 1238.27, 154.78, TO_DATE('2021-11-30', 'YYYY-MM-DD'), 1457, 'Online, Seattle', 1.71, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (236, 'Trenton Stoermer', 'trenton.stoermer@internalmail', 'Non-binary', TO_DATE('2007-12-10', 'YYYY-MM-DD'), 17, '+1-254-276-8038', TO_TIMESTAMP('2021-10-14T23:23:00Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1503, 'Bronze', 4296, 1, 1, 4, 429.68, 107.42, TO_DATE('2022-02-24', 'YYYY-MM-DD'), 1371, 'New York City, Online', 0.97, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (237, 'Barry Tolliver', 'barry.tolliver@internalmail', 'Male', TO_DATE('1980-08-18', 'YYYY-MM-DD'), 45, '+1-438-907-2305', TO_TIMESTAMP('2021-07-23T05:05:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1587, 'Silver', 8768, 1, 0, 6, 876.8, 146.13, TO_DATE('2022-03-07', 'YYYY-MM-DD'), 1360, 'Chicago, Online', 1.38, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (238, 'Lloyd Shackley', 'lloyd.shackley@internalmail', 'Female', TO_DATE('1979-01-22', 'YYYY-MM-DD'), 46, '+1-299-220-2165', TO_TIMESTAMP('2021-05-03T18:39:18Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1667, 'Silver', 13579, 1, 1, 9, 1357.9, 150.88, TO_DATE('2022-02-22', 'YYYY-MM-DD'), 1373, 'London, Online', 1.97, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (239, 'Luciano Lingenfelter', 'luciano.lingenfelter@internalmail', 'Non-binary', TO_DATE('1995-04-13', 'YYYY-MM-DD'), 30, '+1-333-466-2961', TO_TIMESTAMP('2021-06-18T12:14:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1621, 'Silver', 13248, 1, 0, 8, 1324.85, 165.61, TO_DATE('2022-02-25', 'YYYY-MM-DD'), 1370, 'Bucharest, Online', 1.8, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (210, 'Tyler Curlee', 'tyler.curlee@internalmail', 'Male', TO_DATE('1978-08-31', 'YYYY-MM-DD'), 47, '+1-966-957-5069', TO_TIMESTAMP('2021-07-01T18:55:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1608, 'Bronze', 7305, 1, 1, 3, 730.53, 243.51, TO_DATE('2021-07-08', 'YYYY-MM-DD'), 1602, 'Bucharest, Online', 0.68, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (211, 'Markita Larner', 'markita.larner@internalmail', 'Female', TO_DATE('2009-09-08', 'YYYY-MM-DD'), 16, '+1-325-164-5570', TO_TIMESTAMP('2021-11-08T12:53:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1478, 'Silver', 7680, 1, 0, 5, 768.08, 153.62, TO_DATE('2022-02-03', 'YYYY-MM-DD'), 1392, 'Berlin, Online', 1.23, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (212, 'Chante Parez', 'chante.parez@internalmail', 'Non-binary', TO_DATE('1988-01-07', 'YYYY-MM-DD'), 37, '+1-569-740-9031', TO_TIMESTAMP('2021-04-24T00:26:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1677, 'Bronze', 6375, 1, 1, 4, 637.58, 159.4, TO_DATE('2022-02-01', 'YYYY-MM-DD'), 1394, 'Online, Utrecht', 0.87, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (213, 'Alvin Gagner', 'alvin.gagner@internalmail', 'Male', TO_DATE('1965-02-22', 'YYYY-MM-DD'), 60, '+1-563-304-1945', TO_TIMESTAMP('2021-07-30T21:56:13Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1579, 'Silver', 9495, 1, 0, 7, 949.55, 135.65, TO_DATE('2022-02-19', 'YYYY-MM-DD'), 1376, 'Madrid, Online', 1.62, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (214, 'Richard Howard', 'richard.howard@internalmail', 'Female', TO_DATE('2000-04-25', 'YYYY-MM-DD'), 25, '+1-788-311-6440', TO_TIMESTAMP('2021-09-06T15:18:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1541, 'Silver', 7651, 1, 1, 5, 765.13, 153.03, TO_DATE('2022-01-21', 'YYYY-MM-DD'), 1405, 'Johannesburg, Online', 1.18, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (215, 'Donna Foster', 'donna.foster@internalmail', 'Non-binary', TO_DATE('1997-12-26', 'YYYY-MM-DD'), 27, '+1-205-781-9174', TO_TIMESTAMP('2021-08-05T03:04:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1574, 'Silver', 14436, 1, 0, 7, 1443.65, 206.24, TO_DATE('2022-01-22', 'YYYY-MM-DD'), 1404, 'Lagos, Online', 1.62, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (282, 'Patricia Wilson', 'patricia.wilson@internalmail', 'Male', TO_DATE('2003-12-31', 'YYYY-MM-DD'), 21, '+1-282-528-2015', TO_TIMESTAMP('2022-02-20T03:29:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1375, 'Bronze', 3666, 1, 1, 2, 366.69, 183.35, TO_DATE('2022-03-15', 'YYYY-MM-DD'), 1352, 'Bejing, Online', 0.53, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (283, 'James Smith', 'james.smith@internalmail', 'Female', TO_DATE('1964-06-27', 'YYYY-MM-DD'), 61, '+1-238-423-4255', TO_TIMESTAMP('2021-06-01T14:58:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1638, 'Silver', 8586, 1, 0, 6, 858.66, 143.11, TO_DATE('2022-03-31', 'YYYY-MM-DD'), 1336, 'Online, Tokyo', 1.34, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (284, 'Zavert Zimmer', 'zavert.zimmer@internalmail', 'Non-binary', TO_DATE('1967-04-20', 'YYYY-MM-DD'), 58, '+1-459-456-6298', TO_TIMESTAMP('2021-05-15T21:21:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1655, 'Bronze', 5537, 1, 1, 4, 553.74, 138.44, TO_DATE('2022-03-05', 'YYYY-MM-DD'), 1362, 'Online', 0.88, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (285, 'Albert Altmeer', 'albert.altmeer@internalmail', 'Male', TO_DATE('2003-07-29', 'YYYY-MM-DD'), 22, '+1-507-404-2115', TO_TIMESTAMP('2021-08-29T17:02:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1549, 'Bronze', 4300, 1, 0, 3, 430.08, 143.36, TO_DATE('2021-11-14', 'YYYY-MM-DD'), 1473, 'Online', 0.71, 0, 'Low Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (286, 'Wilfred Welch', 'wilfred.welch@internalmail', 'Female', TO_DATE('1996-12-08', 'YYYY-MM-DD'), 28, '+1-253-620-1734', TO_TIMESTAMP('2021-04-27T20:39:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1673, 'Bronze', 5552, 1, 1, 2, 555.28, 277.64, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Online', 0.44, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (287, 'Kristina Nunez', 'kristina.nunez@internalmail', 'Non-binary', TO_DATE('2008-10-05', 'YYYY-MM-DD'), 17, '+1-546-457-2349', TO_TIMESTAMP('2021-06-02T22:18:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1637, 'Silver', 7038, 1, 0, 6, 703.82, 117.3, TO_DATE('2022-02-12', 'YYYY-MM-DD'), 1383, 'Online', 1.34, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (288, 'Mable Ballard', 'mable.ballard@internalmail', 'Male', TO_DATE('1999-06-23', 'YYYY-MM-DD'), 26, '+1-346-595-8070', TO_TIMESTAMP('2022-01-12T03:57:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1414, 'Bronze', 1341, 1, 1, 1, 134.12, 134.12, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'Online', 0.26, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (289, 'Diane Wilkerson', 'diane.wilkerson@internalmail', 'Female', TO_DATE('1980-03-22', 'YYYY-MM-DD'), 45, '+1-851-312-7773', TO_TIMESTAMP('2021-04-12T16:26:47Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1688, 'Silver', 11286, 1, 0, 5, 1128.63, 225.73, TO_DATE('2021-12-24', 'YYYY-MM-DD'), 1433, 'Online', 1.08, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (290, 'Sheryl Banks', 'sheryl.banks@internalmail', 'Non-binary', TO_DATE('2003-12-07', 'YYYY-MM-DD'), 21, '+1-949-498-8461', TO_TIMESTAMP('2021-12-03T18:29:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1453, 'Bronze', 4970, 1, 1, 3, 497.06, 165.69, TO_DATE('2022-04-08', 'YYYY-MM-DD'), 1328, 'Online, Tel Aviv', 0.75, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (291, 'Opal Cruz', 'opal.cruz@internalmail', 'Male', TO_DATE('1961-07-24', 'YYYY-MM-DD'), 64, '+1-834-764-2098', TO_TIMESTAMP('2021-06-15T21:40:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1624, 'Bronze', 6654, 1, 0, 4, 665.48, 166.37, TO_DATE('2021-08-26', 'YYYY-MM-DD'), 1553, 'Online', 0.9, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (292, 'Dale Hughes', 'dale.hughes@internalmail', 'Female', TO_DATE('2008-08-23', 'YYYY-MM-DD'), 17, '+1-910-917-6958', TO_TIMESTAMP('2021-06-22T08:53:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1618, 'Silver', 10932, 1, 1, 6, 1093.24, 182.21, TO_DATE('2022-03-19', 'YYYY-MM-DD'), 1348, 'Online, San Francisco', 1.35, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (293, 'Diana Fowler', 'diana.fowler@internalmail', 'Non-binary', TO_DATE('1974-02-27', 'YYYY-MM-DD'), 51, '+1-851-850-2295', TO_TIMESTAMP('2021-05-18T22:49:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1652, 'Bronze', 5376, 1, 0, 4, 537.65, 134.41, TO_DATE('2022-02-09', 'YYYY-MM-DD'), 1386, 'Online, Seattle', 0.88, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (294, 'Travis Schwartz', 'travis.schwartz@internalmail', 'Male', TO_DATE('1999-08-03', 'YYYY-MM-DD'), 26, '+1-872-980-8695', TO_TIMESTAMP('2021-03-28T08:53:58Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1704, 'Silver', 10153, 1, 1, 6, 1015.37, 169.23, TO_DATE('2021-12-13', 'YYYY-MM-DD'), 1444, 'New York City, Online', 1.29, 0, 'High Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (295, 'Anthony Boone', 'anthony.boone@internalmail', 'Female', TO_DATE('1987-09-13', 'YYYY-MM-DD'), 38, '+1-431-916-8391', TO_TIMESTAMP('2021-03-30T21:04:14Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1701, 'Bronze', 5293, 1, 0, 4, 529.34, 132.34, TO_DATE('2022-01-22', 'YYYY-MM-DD'), 1404, 'Chicago, Online', 0.86, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (296, 'Tim Harmon', 'tim.harmon@internalmail', 'Non-binary', TO_DATE('1962-07-12', 'YYYY-MM-DD'), 63, '+1-317-472-4404', TO_TIMESTAMP('2021-06-26T16:28:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1613, 'Bronze', 10315, 1, 1, 4, 1031.59, 257.9, TO_DATE('2022-03-12', 'YYYY-MM-DD'), 1355, 'London, Online', 0.91, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (297, 'Kristin Brooks', 'kristin.brooks@internalmail', 'Male', TO_DATE('1966-12-27', 'YYYY-MM-DD'), 58, '+1-421-974-2463', TO_TIMESTAMP('2021-06-24T21:55:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1615, 'Bronze', 7991, 1, 0, 4, 799.13, 199.78, TO_DATE('2022-01-26', 'YYYY-MM-DD'), 1400, 'Bucharest, Online', 0.9, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (298, 'Kathy Dennis', 'kathy.dennis@internalmail', 'Female', TO_DATE('1981-10-22', 'YYYY-MM-DD'), 44, '+1-773-978-8410', TO_TIMESTAMP('2021-07-21T22:26:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1588, 'Bronze', 3025, 1, 1, 2, 302.51, 151.26, TO_DATE('2021-12-28', 'YYYY-MM-DD'), 1429, 'Berlin, Online', 0.46, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (299, 'Vickie James', 'vickie.james@internalmail', 'Non-binary', TO_DATE('1994-09-30', 'YYYY-MM-DD'), 31, '+1-853-534-5751', TO_TIMESTAMP('2021-05-13T08:11:19Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1658, 'Silver', 9702, 1, 0, 7, 970.27, 138.61, TO_DATE('2022-01-14', 'YYYY-MM-DD'), 1412, 'Online, Utrecht', 1.54, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (258, 'Adan Lamica', 'adan.lamica@internalmail', 'Male', TO_DATE('1986-10-10', 'YYYY-MM-DD'), 39, '+1-909-303-4501', TO_TIMESTAMP('2021-03-27T04:56:01Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1705, 'Bronze', 4156, 1, 1, 4, 415.67, 103.92, TO_DATE('2022-03-16', 'YYYY-MM-DD'), 1351, 'Online', 0.86, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (259, 'Beckie Lagrenade', 'beckie.lagrenade@internalmail', 'Female', TO_DATE('1995-11-05', 'YYYY-MM-DD'), 30, '+1-271-303-9473', TO_TIMESTAMP('2021-04-02T04:26:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1699, 'Silver', 9050, 1, 0, 6, 905.06, 150.84, TO_DATE('2022-02-28', 'YYYY-MM-DD'), 1367, 'Online', 1.29, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (260, 'Jacques Bartash', 'jacques.bartash@internalmail', 'Non-binary', TO_DATE('1970-10-22', 'YYYY-MM-DD'), 55, '+1-585-192-4648', TO_TIMESTAMP('2021-08-10T23:25:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1568, 'Bronze', 3868, 1, 1, 2, 386.84, 193.42, TO_DATE('2021-12-10', 'YYYY-MM-DD'), 1447, 'Online', 0.47, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (261, 'Buster Landin', 'buster.landin@internalmail', 'Male', TO_DATE('1965-01-30', 'YYYY-MM-DD'), 60, '+1-737-695-3184', TO_TIMESTAMP('2021-05-06T08:42:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1665, 'Silver', 13425, 1, 0, 8, 1342.59, 167.82, TO_DATE('2022-04-02', 'YYYY-MM-DD'), 1334, 'Online, Tel Aviv', 1.75, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (262, 'Kendrick McMurtrey', 'kendrick.mcmurtrey@internalmail', 'Female', TO_DATE('1991-07-13', 'YYYY-MM-DD'), 34, '+1-573-295-9326', TO_TIMESTAMP('2021-07-13T20:03:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1596, 'Bronze', 4084, 1, 1, 3, 408.47, 136.16, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'Online', 0.69, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (263, 'Jerrell Kereluk', 'jerrell.kereluk@internalmail', 'Non-binary', TO_DATE('2007-05-07', 'YYYY-MM-DD'), 18, '+1-288-354-8145', TO_TIMESTAMP('2021-09-05T22:57:17Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1542, 'Bronze', 7872, 1, 0, 4, 787.28, 196.82, TO_DATE('2021-10-28', 'YYYY-MM-DD'), 1490, 'Online, San Francisco', 0.95, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (264, 'Monroe Braylock', 'monroe.braylock@internalmail', 'Male', TO_DATE('1971-07-19', 'YYYY-MM-DD'), 54, '+1-654-700-6202', TO_TIMESTAMP('2021-07-12T03:51:53Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1598, 'Bronze', 6271, 1, 1, 4, 627.18, 156.8, TO_DATE('2021-09-12', 'YYYY-MM-DD'), 1536, 'Online, Seattle', 0.91, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (265, 'Anderson Keaffaber', 'anderson.keaffaber@internalmail', 'Female', TO_DATE('1976-10-11', 'YYYY-MM-DD'), 49, '+1-909-668-6737', TO_TIMESTAMP('2021-08-13T07:50:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1566, 'Silver', 9014, 1, 0, 6, 901.49, 150.25, TO_DATE('2021-12-21', 'YYYY-MM-DD'), 1436, 'New York City, Online', 1.4, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (266, 'Love Whistlehunt', 'love.whistlehunt@internalmail', 'Non-binary', TO_DATE('1966-03-02', 'YYYY-MM-DD'), 59, '+1-554-879-4135', TO_TIMESTAMP('2021-04-25T17:42:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1675, 'Silver', 13187, 1, 1, 8, 1318.72, 164.84, TO_DATE('2022-03-20', 'YYYY-MM-DD'), 1347, 'Chicago, Online', 1.74, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (267, 'Petrina Gummo', 'petrina.gummo@internalmail', 'Male', TO_DATE('2007-01-11', 'YYYY-MM-DD'), 18, '+1-508-279-2474', TO_TIMESTAMP('2021-11-08T09:44:09Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1479, 'Silver', 9039, 1, 0, 6, 903.94, 150.66, TO_DATE('2022-03-15', 'YYYY-MM-DD'), 1352, 'London, Online', 1.48, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (268, 'Jeremiah Nuanes', 'jeremiah.nuanes@internalmail', 'Female', TO_DATE('1967-09-29', 'YYYY-MM-DD'), 58, '+1-463-837-3995', TO_TIMESTAMP('2021-06-01T22:23:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1638, 'Silver', 5703, 1, 1, 5, 570.39, 114.08, TO_DATE('2021-11-10', 'YYYY-MM-DD'), 1477, 'Bucharest, Online', 1.11, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (269, 'Shon Capetl', 'shon.capetl@internalmail', 'Non-binary', TO_DATE('1962-10-30', 'YYYY-MM-DD'), 63, '+1-878-605-9700', TO_TIMESTAMP('2021-08-09T11:45:14Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1570, 'Bronze', 2654, 1, 0, 3, 265.42, 88.47, TO_DATE('2022-02-21', 'YYYY-MM-DD'), 1374, 'Berlin, Online', 0.7, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (270, 'Chasidy Fetui', 'chasidy.fetui@internalmail', 'Male', TO_DATE('1984-03-25', 'YYYY-MM-DD'), 41, '+1-319-228-1639', TO_TIMESTAMP('2021-04-17T05:24:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1684, 'Silver', 10827, 1, 1, 6, 1082.78, 180.46, TO_DATE('2022-02-09', 'YYYY-MM-DD'), 1386, 'Online, Utrecht', 1.3, 0, 'High Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (271, 'Dorsey Arking', 'dorsey.arking@internalmail', 'Female', TO_DATE('2007-03-08', 'YYYY-MM-DD'), 18, '+1-893-767-2550', TO_TIMESTAMP('2021-04-02T17:05:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1698, 'Silver', 12048, 1, 0, 7, 1204.83, 172.12, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Madrid, Online', 1.5, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (272, 'Dagny Bumatay', 'dagny.bumatay@internalmail', 'Non-binary', TO_DATE('2001-10-31', 'YYYY-MM-DD'), 24, '+1-561-972-5416', TO_TIMESTAMP('2021-05-14T09:25:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1657, 'Silver', 11366, 1, 1, 7, 1136.6, 162.37, TO_DATE('2022-03-04', 'YYYY-MM-DD'), 1363, 'Johannesburg, Online', 1.54, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (273, 'Elden Arancibia', 'elden.arancibia@internalmail', 'Male', TO_DATE('2003-09-27', 'YYYY-MM-DD'), 22, '+1-543-383-2620', TO_TIMESTAMP('2021-04-10T05:09:24Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 12083, 1, 0, 7, 1208.36, 172.62, TO_DATE('2022-01-23', 'YYYY-MM-DD'), 1403, 'Lagos, Online', 1.51, 0, 'High Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (274, 'Broderick Dourado', 'broderick.dourado@internalmail', 'Female', TO_DATE('1981-08-21', 'YYYY-MM-DD'), 44, '+1-473-311-4835', TO_TIMESTAMP('2021-04-09T16:00:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 7198, 1, 1, 7, 719.82, 102.83, TO_DATE('2022-01-28', 'YYYY-MM-DD'), 1398, 'Online, Vienna', 1.51, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (275, 'Elden Bufton', 'elden.bufton@internalmail', 'Non-binary', TO_DATE('1991-05-27', 'YYYY-MM-DD'), 34, '+1-649-554-1893', TO_TIMESTAMP('2021-10-10T17:10:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1507, 'Bronze', 5346, 1, 0, 4, 534.65, 133.66, TO_DATE('2022-02-04', 'YYYY-MM-DD'), 1391, 'Mumbai, Online', 0.97, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (276, 'Chassidy Hinderaker', 'chassidy.hinderaker@internalmail', 'Male', TO_DATE('1968-01-11', 'YYYY-MM-DD'), 57, '+1-626-511-9043', TO_TIMESTAMP('2021-04-13T06:11:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1688, 'Bronze', 4148, 1, 1, 4, 414.86, 103.72, TO_DATE('2022-03-24', 'YYYY-MM-DD'), 1343, 'New Dehli, Online', 0.86, 0, 'Low Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (277, 'Broderick Faur', 'broderick.faur@internalmail', 'Female', TO_DATE('1986-06-01', 'YYYY-MM-DD'), 39, '+1-565-325-4242', TO_TIMESTAMP('2021-05-28T07:55:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1643, 'Silver', 9854, 1, 0, 6, 985.41, 164.24, TO_DATE('2022-03-18', 'YYYY-MM-DD'), 1349, 'Online, Sydney', 1.33, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (278, 'Jewel Ginnery', 'jewel.ginnery@internalmail', 'Non-binary', TO_DATE('1984-03-14', 'YYYY-MM-DD'), 41, '+1-980-638-4396', TO_TIMESTAMP('2021-04-09T21:50:07Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 15507, 1, 1, 7, 1550.7, 221.53, TO_DATE('2022-03-14', 'YYYY-MM-DD'), 1353, 'Online, Perth', 1.51, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (279, 'James Williams', 'james.williams@internalmail', 'Male', TO_DATE('1970-01-17', 'YYYY-MM-DD'), 55, '+1-579-630-5190', TO_TIMESTAMP('2021-06-01T00:18:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1639, 'Silver', 5137, 1, 0, 5, 513.71, 102.74, TO_DATE('2022-03-21', 'YYYY-MM-DD'), 1346, 'Online, São Paulo', 1.11, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (280, 'James Wilson', 'james.wilson@internalmail', 'Female', TO_DATE('1963-01-02', 'YYYY-MM-DD'), 62, '+1-817-166-1324', TO_TIMESTAMP('2021-05-21T22:52:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1649, 'Silver', 9323, 1, 1, 6, 932.34, 155.39, TO_DATE('2022-03-01', 'YYYY-MM-DD'), 1366, 'Buenos Aires, Online', 1.33, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (281, 'Mary Wilson', 'mary.wilson@internalmail', 'Non-binary', TO_DATE('1991-12-16', 'YYYY-MM-DD'), 33, '+1-588-807-9655', TO_TIMESTAMP('2021-10-01T01:37:02Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1517, 'Bronze', 5543, 1, 0, 4, 554.37, 138.59, TO_DATE('2022-03-19', 'YYYY-MM-DD'), 1348, 'Mexico City, Online', 0.96, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (307, 'Eloise Burton', 'eloise.burton@internalmail', 'Female', TO_DATE('2007-09-24', 'YYYY-MM-DD'), 18, '+1-302-566-3445', TO_TIMESTAMP('2021-07-04T14:29:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1605, 'Bronze', 4418, 1, 0, 3, 441.8, 147.27, TO_DATE('2022-02-27', 'YYYY-MM-DD'), 1368, 'Online, Perth', 0.68, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (308, 'Felix Fox', 'felix.fox@internalmail', 'Non-binary', TO_DATE('2009-10-31', 'YYYY-MM-DD'), 16, '+1-542-171-5327', TO_TIMESTAMP('2021-09-09T12:21:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1538, 'Silver', 9888, 1, 1, 7, 988.83, 141.26, TO_DATE('2022-03-07', 'YYYY-MM-DD'), 1360, 'Online, São Paulo', 1.66, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (309, 'Gary Barton', 'gary.barton@internalmail', 'Male', TO_DATE('2009-04-02', 'YYYY-MM-DD'), 16, '+1-610-358-5837', TO_TIMESTAMP('2021-06-10T02:49:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1630, 'Silver', 8225, 1, 0, 5, 822.53, 164.51, TO_DATE('2022-03-29', 'YYYY-MM-DD'), 1338, 'Buenos Aires, Online', 1.12, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (310, 'Tracy Mcbride', 'tracy.mcbride@internalmail', 'Female', TO_DATE('1993-03-09', 'YYYY-MM-DD'), 32, '+1-520-706-7875', TO_TIMESTAMP('2021-08-24T13:39:43Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1554, 'Silver', 11642, 1, 1, 6, 1164.26, 194.04, TO_DATE('2022-03-16', 'YYYY-MM-DD'), 1351, 'Mexico City, Online', 1.41, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (311, 'Lorita Koenig', 'lorita.koenig@internalmail', 'Non-binary', TO_DATE('1985-06-02', 'YYYY-MM-DD'), 40, '+1-539-116-2985', TO_TIMESTAMP('2021-05-28T05:31:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1643, 'Silver', 11605, 1, 0, 7, 1160.55, 165.79, TO_DATE('2022-03-30', 'YYYY-MM-DD'), 1337, 'Bejing, Online', 1.56, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (312, 'Kaleigh Meade', 'kaleigh.meade@internalmail', 'Male', TO_DATE('1981-10-27', 'YYYY-MM-DD'), 44, '+1-660-851-3589', TO_TIMESTAMP('2022-02-09T04:18:49Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1386, 'Bronze', 3581, 1, 1, 4, 358.17, 89.54, TO_DATE('2022-04-07', 'YYYY-MM-DD'), 1329, 'Online, Tokyo', 1.05, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (331, 'Winfred August', 'winfred.august@internalmail', 'Female', TO_DATE('1969-01-26', 'YYYY-MM-DD'), 56, '+1-909-418-5821', TO_TIMESTAMP('2021-08-23T21:00:55Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1555, 'Silver', 12624, 1, 0, 6, 1262.43, 210.41, TO_DATE('2021-12-31', 'YYYY-MM-DD'), 1426, 'Lagos, Online', 1.41, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (332, 'Virgie Breeden', 'virgie.breeden@internalmail', 'Non-binary', TO_DATE('2001-09-11', 'YYYY-MM-DD'), 24, '+1-296-242-2213', TO_TIMESTAMP('2021-05-09T06:55:17Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1662, 'Silver', 6782, 1, 1, 6, 678.26, 113.04, TO_DATE('2022-03-27', 'YYYY-MM-DD'), 1340, 'Online, Vienna', 1.32, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (333, 'Ericka Oconner', 'ericka.oconner@internalmail', 'Male', TO_DATE('1961-10-23', 'YYYY-MM-DD'), 64, '+1-570-170-6676', TO_TIMESTAMP('2021-05-27T20:39:58Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1643, 'Silver', 5992, 1, 0, 7, 599.22, 85.6, TO_DATE('2022-03-27', 'YYYY-MM-DD'), 1340, 'Mumbai, Online', 1.56, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (334, 'Cheree Kemp', 'cheree.kemp@internalmail', 'Female', TO_DATE('1975-10-27', 'YYYY-MM-DD'), 50, '+1-275-234-8773', TO_TIMESTAMP('2021-04-26T04:01:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1675, 'Silver', 13951, 1, 1, 7, 1395.13, 199.3, TO_DATE('2022-03-23', 'YYYY-MM-DD'), 1344, 'New Dehli, Online', 1.53, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (335, 'Rayford Salley', 'rayford.salley@internalmail', 'Non-binary', TO_DATE('1978-05-31', 'YYYY-MM-DD'), 47, '+1-763-648-3183', TO_TIMESTAMP('2021-04-07T23:15:41Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1693, 'Silver', 4460, 1, 0, 5, 446.01, 89.2, TO_DATE('2022-03-08', 'YYYY-MM-DD'), 1359, 'Online, Sydney', 1.08, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (336, 'Zulma Olds', 'zulma.olds@internalmail', 'Male', TO_DATE('2001-04-19', 'YYYY-MM-DD'), 24, '+1-540-929-6209', TO_TIMESTAMP('2021-08-22T21:20:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1556, 'Silver', 8665, 1, 1, 7, 866.52, 123.79, TO_DATE('2022-03-19', 'YYYY-MM-DD'), 1348, 'Online, Perth', 1.64, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (337, 'Salena Wadsworth', 'salena.wadsworth@internalmail', 'Female', TO_DATE('1975-08-20', 'YYYY-MM-DD'), 50, '+1-995-102-9620', TO_TIMESTAMP('2021-04-21T07:47:44Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1680, 'Silver', 9151, 1, 0, 5, 915.18, 183.04, TO_DATE('2022-01-18', 'YYYY-MM-DD'), 1408, 'Online, São Paulo', 1.09, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (338, 'Mohammad Cervantes', 'mohammad.cervantes@internalmail', 'Non-binary', TO_DATE('1966-09-02', 'YYYY-MM-DD'), 59, '+1-602-459-5483', TO_TIMESTAMP('2021-04-03T14:39:45Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1697, 'Silver', 6930, 1, 1, 5, 693.07, 138.61, TO_DATE('2022-04-04', 'YYYY-MM-DD'), 1332, 'Buenos Aires, Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (339, 'Tanja Vanover', 'tanja.vanover@internalmail', 'Male', TO_DATE('1977-03-24', 'YYYY-MM-DD'), 48, '+1-813-439-2826', TO_TIMESTAMP('2021-12-13T09:10:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1444, 'Bronze', 7500, 1, 0, 4, 750.02, 187.51, TO_DATE('2022-04-02', 'YYYY-MM-DD'), 1334, 'Mexico City, Online', 1.01, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (340, 'Lonnie Colby', 'lonnie.colby@internalmail', 'Female', TO_DATE('1987-09-08', 'YYYY-MM-DD'), 38, '+1-200-288-8764', TO_TIMESTAMP('2021-06-21T03:45:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1619, 'Silver', 11530, 1, 1, 6, 1153.0, 192.17, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'Bejing, Online', 1.35, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (341, 'Monte Calloway', 'monte.calloway@internalmail', 'Non-binary', TO_DATE('1961-07-12', 'YYYY-MM-DD'), 64, '+1-321-838-6665', TO_TIMESTAMP('2021-04-06T15:59:33Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1694, 'Silver', 7555, 1, 0, 7, 755.54, 107.93, TO_DATE('2022-04-10', 'YYYY-MM-DD'), 1326, 'Online, Tokyo', 1.51, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (342, 'Melisa Banda', 'melisa.banda@internalmail', 'Male', TO_DATE('1974-08-13', 'YYYY-MM-DD'), 51, '+1-207-765-5518', TO_TIMESTAMP('2021-09-06T22:55:53Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1541, 'Bronze', 3957, 1, 1, 2, 395.74, 197.87, TO_DATE('2021-11-30', 'YYYY-MM-DD'), 1457, 'Online', 0.47, 0, 'Low Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (343, 'Gisela Costello', 'gisela.costello@internalmail', 'Female', TO_DATE('1975-09-17', 'YYYY-MM-DD'), 50, '+1-439-802-2541', TO_TIMESTAMP('2021-04-11T13:33:49Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1689, 'Silver', 8784, 1, 0, 5, 878.45, 175.69, TO_DATE('2021-12-06', 'YYYY-MM-DD'), 1451, 'Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (344, 'Libby Krauss', 'libby.krauss@internalmail', 'Non-binary', TO_DATE('1988-01-27', 'YYYY-MM-DD'), 37, '+1-369-837-8802', TO_TIMESTAMP('2021-05-15T23:20:47Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1655, 'Bronze', 7606, 1, 1, 4, 760.63, 190.16, TO_DATE('2022-03-07', 'YYYY-MM-DD'), 1360, 'Online', 0.88, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (345, 'Mireille Pauley', 'mireille.pauley@internalmail', 'Male', TO_DATE('1970-02-26', 'YYYY-MM-DD'), 55, '+1-376-214-2477', TO_TIMESTAMP('2021-04-12T01:23:34Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1689, 'Bronze', 4110, 1, 0, 3, 411.02, 137.01, TO_DATE('2022-03-29', 'YYYY-MM-DD'), 1338, 'Online', 0.65, 0, 'Low Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (346, 'Hassie Grogan', 'hassie.grogan@internalmail', 'Female', TO_DATE('1961-11-27', 'YYYY-MM-DD'), 63, '+1-294-733-6734', TO_TIMESTAMP('2021-08-11T00:18:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1568, 'Bronze', 5272, 1, 1, 4, 527.29, 131.82, TO_DATE('2022-02-26', 'YYYY-MM-DD'), 1369, 'Online', 0.93, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (347, 'Chi Mcwhorter', 'chi.mcwhorter@internalmail', 'Non-binary', TO_DATE('1963-02-16', 'YYYY-MM-DD'), 62, '+1-992-130-8815', TO_TIMESTAMP('2021-05-20T07:40:39Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1651, 'Silver', 11099, 1, 0, 5, 1109.98, 222.0, TO_DATE('2022-03-29', 'YYYY-MM-DD'), 1338, 'Online', 1.11, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (348, 'Connie Delagarza', 'connie.delagarza@internalmail', 'Male', TO_DATE('1964-03-08', 'YYYY-MM-DD'), 61, '+1-713-546-6331', TO_TIMESTAMP('2021-04-16T09:47:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1685, 'Silver', 11181, 1, 1, 6, 1118.15, 186.36, TO_DATE('2022-04-12', 'YYYY-MM-DD'), 1324, 'Online, Tel Aviv', 1.3, 0, 'High Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (313, 'Lexie Magee', 'lexie.magee@internalmail', 'Female', TO_DATE('1984-12-02', 'YYYY-MM-DD'), 40, '+1-234-298-2561', TO_TIMESTAMP('2021-07-28T06:58:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1582, 'Bronze', 5658, 1, 0, 4, 565.8, 141.45, TO_DATE('2021-11-16', 'YYYY-MM-DD'), 1471, 'Online', 0.92, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (314, 'Landon Neville', 'landon.neville@internalmail', 'Non-binary', TO_DATE('1984-05-19', 'YYYY-MM-DD'), 41, '+1-354-132-6574', TO_TIMESTAMP('2021-04-09T14:43:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 10053, 1, 1, 6, 1005.39, 167.57, TO_DATE('2021-11-04', 'YYYY-MM-DD'), 1483, 'Online', 1.3, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (315, 'Lillia Talbott', 'lillia.talbott@internalmail', 'Male', TO_DATE('1988-11-12', 'YYYY-MM-DD'), 37, '+1-278-730-5554', TO_TIMESTAMP('2021-04-27T05:31:26Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1674, 'Bronze', 1984, 1, 0, 4, 198.44, 49.61, TO_DATE('2022-01-03', 'YYYY-MM-DD'), 1423, 'Online', 0.87, 0, 'Low Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (316, 'Dinah Paredes', 'dinah.paredes@internalmail', 'Female', TO_DATE('1962-07-10', 'YYYY-MM-DD'), 63, '+1-298-841-4801', TO_TIMESTAMP('2021-12-04T02:24:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1453, 'Bronze', 579, 1, 1, 1, 57.94, 57.94, TO_DATE('2021-12-04', 'YYYY-MM-DD'), 1453, 'Online', 0.25, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (317, 'Mercy Whiting', 'mercy.whiting@internalmail', 'Non-binary', TO_DATE('1974-04-08', 'YYYY-MM-DD'), 51, '+1-915-942-2466', TO_TIMESTAMP('2021-07-31T19:12:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1578, 'Silver', 10859, 1, 0, 6, 1085.93, 180.99, TO_DATE('2022-03-01', 'YYYY-MM-DD'), 1366, 'Online', 1.39, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (318, 'Thomas Huddleston', 'thomas.huddleston@internalmail', 'Male', TO_DATE('1990-03-16', 'YYYY-MM-DD'), 35, '+1-242-855-9969', TO_TIMESTAMP('2021-08-13T07:00:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1566, 'Silver', 9697, 1, 1, 5, 969.78, 193.96, TO_DATE('2022-03-21', 'YYYY-MM-DD'), 1346, 'Online', 1.17, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (319, 'Rubi Carlisle', 'rubi.carlisle@internalmail', 'Female', TO_DATE('1988-10-21', 'YYYY-MM-DD'), 37, '+1-629-813-1129', TO_TIMESTAMP('2021-04-04T19:39:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1696, 'Silver', 5205, 1, 0, 6, 520.57, 86.76, TO_DATE('2022-04-11', 'YYYY-MM-DD'), 1325, 'Online, Tel Aviv', 1.29, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (320, 'Vivien Cameron', 'vivien.cameron@internalmail', 'Non-binary', TO_DATE('1974-07-26', 'YYYY-MM-DD'), 51, '+1-237-635-5943', TO_TIMESTAMP('2021-05-12T13:55:29Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1658, 'Bronze', 6511, 1, 1, 4, 651.19, 162.8, TO_DATE('2022-02-03', 'YYYY-MM-DD'), 1392, 'Online', 0.88, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (321, 'Maia Leggett', 'maia.leggett@internalmail', 'Male', TO_DATE('1983-12-30', 'YYYY-MM-DD'), 41, '+1-977-803-7961', TO_TIMESTAMP('2021-04-27T00:44:28Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1674, 'Silver', 10865, 1, 0, 8, 1086.53, 135.82, TO_DATE('2022-02-19', 'YYYY-MM-DD'), 1376, 'Online, San Francisco', 1.74, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (322, 'Florencia Kohler', 'florencia.kohler@internalmail', 'Female', TO_DATE('1995-09-06', 'YYYY-MM-DD'), 30, '+1-632-552-2639', TO_TIMESTAMP('2021-04-02T10:11:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1699, 'Silver', 10856, 1, 1, 7, 1085.65, 155.09, TO_DATE('2021-12-22', 'YYYY-MM-DD'), 1435, 'Online, Seattle', 1.5, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (323, 'Lucila Heck', 'lucila.heck@internalmail', 'Non-binary', TO_DATE('1984-04-05', 'YYYY-MM-DD'), 41, '+1-694-492-6642', TO_TIMESTAMP('2021-04-09T06:40:53Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1692, 'Bronze', 3095, 1, 0, 2, 309.59, 154.8, TO_DATE('2021-06-13', 'YYYY-MM-DD'), 1627, 'New York City, Online', 0.43, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (324, 'Kendrick Caraballo', 'kendrick.caraballo@internalmail', 'Male', TO_DATE('1989-08-29', 'YYYY-MM-DD'), 36, '+1-626-740-6193', TO_TIMESTAMP('2021-06-16T20:54:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1623, 'Bronze', 5407, 1, 1, 4, 540.79, 135.2, TO_DATE('2021-09-29', 'YYYY-MM-DD'), 1519, 'Chicago, Online', 0.9, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (325, 'Annemarie Pinckney', 'annemarie.pinckney@internalmail', 'Female', TO_DATE('1963-09-07', 'YYYY-MM-DD'), 62, '+1-697-792-1762', TO_TIMESTAMP('2021-06-25T08:32:14Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1615, 'Bronze', 3699, 1, 0, 2, 369.95, 184.98, TO_DATE('2021-12-02', 'YYYY-MM-DD'), 1455, 'London, Online', 0.45, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (326, 'Carmella Avalos', 'carmella.avalos@internalmail', 'Non-binary', TO_DATE('2004-04-14', 'YYYY-MM-DD'), 21, '+1-437-276-3615', TO_TIMESTAMP('2021-04-20T05:08:57Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1681, 'Silver', 10837, 1, 1, 7, 1083.71, 154.82, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'Bucharest, Online', 1.52, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (327, 'Jules Ruffin', 'jules.ruffin@internalmail', 'Male', TO_DATE('2007-01-28', 'YYYY-MM-DD'), 18, '+1-226-258-7993', TO_TIMESTAMP('2021-04-10T01:52:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1691, 'Silver', 13448, 1, 0, 7, 1344.81, 192.12, TO_DATE('2021-12-09', 'YYYY-MM-DD'), 1448, 'Berlin, Online', 1.51, 0, 'High Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (328, 'Tish Stapleton', 'tish.stapleton@internalmail', 'Female', TO_DATE('1963-01-19', 'YYYY-MM-DD'), 62, '+1-595-415-1664', TO_TIMESTAMP('2021-10-17T02:42:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1501, 'Bronze', 2888, 1, 1, 3, 288.84, 96.28, TO_DATE('2021-12-20', 'YYYY-MM-DD'), 1437, 'Online, Utrecht', 0.73, 0, 'Low Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (329, 'Elin Seidel', 'elin.seidel@internalmail', 'Non-binary', TO_DATE('1997-03-12', 'YYYY-MM-DD'), 28, '+1-418-340-8089', TO_TIMESTAMP('2021-12-16T06:35:08Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1441, 'Bronze', 2781, 1, 0, 2, 278.15, 139.08, TO_DATE('2022-01-14', 'YYYY-MM-DD'), 1412, 'Madrid, Online', 0.51, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (330, 'Shawn Sorenson', 'shawn.sorenson@internalmail', 'Male', TO_DATE('2006-01-19', 'YYYY-MM-DD'), 19, '+1-706-924-4346', TO_TIMESTAMP('2021-09-24T05:10:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1524, 'Silver', 9688, 1, 1, 5, 968.86, 193.77, TO_DATE('2022-02-13', 'YYYY-MM-DD'), 1382, 'Johannesburg, Online', 1.2, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (301, 'Nelson Tate', 'nelson.tate@internalmail', 'Female', TO_DATE('1970-10-08', 'YYYY-MM-DD'), 55, '+1-398-569-4005', TO_TIMESTAMP('2021-04-13T15:51:25Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1687, 'Silver', 12716, 1, 0, 9, 1271.61, 141.29, TO_DATE('2022-02-08', 'YYYY-MM-DD'), 1387, 'Johannesburg, Online', 1.95, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (302, 'Tiffany Pena', 'tiffany.pena@internalmail', 'Non-binary', TO_DATE('1972-05-07', 'YYYY-MM-DD'), 53, '+1-960-115-9388', TO_TIMESTAMP('2021-05-01T12:05:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1669, 'Silver', 10620, 1, 1, 6, 1062.0, 177.0, TO_DATE('2022-01-25', 'YYYY-MM-DD'), 1401, 'Lagos, Online', 1.31, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (303, 'Jeannette Hunt', 'jeannette.hunt@internalmail', 'Male', TO_DATE('1988-10-18', 'YYYY-MM-DD'), 37, '+1-907-679-9916', TO_TIMESTAMP('2021-03-31T00:14:14Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1701, 'Silver', 9194, 1, 0, 6, 919.46, 153.24, TO_DATE('2021-12-08', 'YYYY-MM-DD'), 1449, 'Online, Vienna', 1.29, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (304, 'Willie Cunningham', 'willie.cunningham@internalmail', 'Female', TO_DATE('1973-04-04', 'YYYY-MM-DD'), 52, '+1-917-914-7713', TO_TIMESTAMP('2021-11-07T05:10:49Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1480, 'Bronze', 4527, 1, 1, 4, 452.75, 113.19, TO_DATE('2022-02-20', 'YYYY-MM-DD'), 1375, 'Mumbai, Online', 0.99, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (305, 'Paulette Byrd', 'paulette.byrd@internalmail', 'Non-binary', TO_DATE('1974-07-06', 'YYYY-MM-DD'), 51, '+1-595-546-4197', TO_TIMESTAMP('2021-05-15T01:55:03Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1656, 'Silver', 11032, 1, 0, 6, 1103.22, 183.87, TO_DATE('2022-02-15', 'YYYY-MM-DD'), 1380, 'New Dehli, Online', 1.32, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (306, 'Tasha Cobb', 'tasha.cobb@internalmail', 'Male', TO_DATE('1969-05-19', 'YYYY-MM-DD'), 56, '+1-994-779-7151', TO_TIMESTAMP('2021-11-08T13:18:11Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1478, 'Silver', 9175, 1, 1, 6, 917.54, 152.92, TO_DATE('2022-02-07', 'YYYY-MM-DD'), 1388, 'Online, Sydney', 1.48, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (373, 'Jennifer Cooper', 'jennifer.cooper@internalmail', 'Female', TO_DATE('1988-08-22', 'YYYY-MM-DD'), 37, '+1-205-226-6006', TO_TIMESTAMP('2021-04-07T15:07:59Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1693, 'Bronze', 6848, 1, 0, 3, 684.89, 228.3, TO_DATE('2021-10-23', 'YYYY-MM-DD'), 1495, 'Online', 0.65, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (374, 'Irene Moore', 'irene.moore@internalmail', 'Non-binary', TO_DATE('1996-02-23', 'YYYY-MM-DD'), 29, '+1-735-729-7859', TO_TIMESTAMP('2021-04-13T03:44:15Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1688, 'Silver', 7531, 1, 1, 5, 753.14, 150.63, TO_DATE('2021-12-07', 'YYYY-MM-DD'), 1450, 'Online', 1.08, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (375, 'Sean Adams', 'sean.adams@internalmail', 'Male', TO_DATE('1973-11-14', 'YYYY-MM-DD'), 52, '+1-250-444-7298', TO_TIMESTAMP('2021-06-19T13:53:20Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1620, 'Bronze', 6864, 1, 0, 4, 686.48, 171.62, TO_DATE('2022-03-20', 'YYYY-MM-DD'), 1347, 'Online', 0.9, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (376, 'Stephen Butler', 'stephen.butler@internalmail', 'Female', TO_DATE('1972-05-04', 'YYYY-MM-DD'), 53, '+1-793-630-4726', TO_TIMESTAMP('2022-02-25T05:18:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1370, 'Bronze', 1882, 1, 1, 1, 188.24, 188.24, TO_DATE('2022-02-25', 'YYYY-MM-DD'), 1370, 'Online', 0.27, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (377, 'Adam Martinez', 'adam.martinez@internalmail', 'Non-binary', TO_DATE('2006-10-20', 'YYYY-MM-DD'), 19, '+1-236-762-2950', TO_TIMESTAMP('2021-08-11T14:55:36Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1567, 'Bronze', 4623, 1, 0, 4, 462.39, 115.6, TO_DATE('2022-04-11', 'YYYY-MM-DD'), 1325, 'Online, Tel Aviv', 0.93, 0, 'Low Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (378, 'Angela Bailey', 'angela.bailey@internalmail', 'Male', TO_DATE('2001-12-16', 'YYYY-MM-DD'), 23, '+1-903-136-8885', TO_TIMESTAMP('2021-08-08T13:52:43Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1570, 'Bronze', 765, 1, 1, 1, 76.56, 76.56, TO_DATE('2021-08-08', 'YYYY-MM-DD'), 1571, 'Online', 0.23, 0, 'Low Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (379, 'Pamela Gonzalez', 'pamela.gonzalez@internalmail', 'Female', TO_DATE('1961-09-22', 'YYYY-MM-DD'), 64, '+1-998-276-4461', TO_TIMESTAMP('2021-06-06T02:17:03Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1634, 'Bronze', 7967, 1, 0, 4, 796.7, 199.18, TO_DATE('2021-10-04', 'YYYY-MM-DD'), 1514, 'Online, San Francisco', 0.89, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (380, 'Arthur Hill', 'arthur.hill@internalmail', 'Non-binary', TO_DATE('1992-08-21', 'YYYY-MM-DD'), 33, '+1-784-972-8380', TO_TIMESTAMP('2021-07-01T00:21:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1609, 'Bronze', 4572, 1, 1, 4, 457.23, 114.31, TO_DATE('2022-02-24', 'YYYY-MM-DD'), 1371, 'Online, Seattle', 0.91, 0, 'Low Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (381, 'Jesse Nelson', 'jesse.nelson@internalmail', 'Male', TO_DATE('2007-09-06', 'YYYY-MM-DD'), 18, '+1-548-980-6940', TO_TIMESTAMP('2021-05-02T08:50:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1669, 'Silver', 10592, 1, 0, 7, 1059.24, 151.32, TO_DATE('2021-11-20', 'YYYY-MM-DD'), 1467, 'New York City, Online', 1.53, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (382, 'Stephanie Jones', 'stephanie.jones@internalmail', 'Female', TO_DATE('1973-04-30', 'YYYY-MM-DD'), 52, '+1-539-617-2056', TO_TIMESTAMP('2021-06-29T23:54:20Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1610, 'Silver', 9076, 1, 1, 6, 907.69, 151.28, TO_DATE('2022-02-02', 'YYYY-MM-DD'), 1393, 'Chicago, Online', 1.36, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (383, 'Robert Simmons', 'robert.simmons@internalmail', 'Non-binary', TO_DATE('1982-07-09', 'YYYY-MM-DD'), 43, '+1-828-818-3533', TO_TIMESTAMP('2021-08-12T06:47:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1567, 'Silver', 6466, 1, 0, 6, 646.66, 107.78, TO_DATE('2021-11-12', 'YYYY-MM-DD'), 1475, 'London, Online', 1.4, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (384, 'Denise White', 'denise.white@internalmail', 'Male', TO_DATE('1962-12-08', 'YYYY-MM-DD'), 62, '+1-764-133-6308', TO_TIMESTAMP('2021-05-10T22:11:38Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1660, 'Silver', 7668, 1, 1, 6, 766.83, 127.81, TO_DATE('2021-12-30', 'YYYY-MM-DD'), 1427, 'Bucharest, Online', 1.32, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (385, 'Theresa Wilson', 'theresa.wilson@internalmail', 'Female', TO_DATE('1970-03-21', 'YYYY-MM-DD'), 55, '+1-215-582-8145', TO_TIMESTAMP('2021-05-25T09:16:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1646, 'Gold', 13650, 1, 0, 10, 1365.06, 136.51, TO_DATE('2022-01-25', 'YYYY-MM-DD'), 1401, 'Berlin, Online', 2.22, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (386, 'Andrea James', 'andrea.james@internalmail', 'Non-binary', TO_DATE('2008-07-21', 'YYYY-MM-DD'), 17, '+1-817-551-3711', TO_TIMESTAMP('2021-05-13T10:56:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1658, 'Silver', 12374, 1, 1, 8, 1237.41, 154.68, TO_DATE('2022-03-09', 'YYYY-MM-DD'), 1358, 'Online, Utrecht', 1.76, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (387, 'Steven Brown', 'steven.brown@internalmail', 'Male', TO_DATE('1985-09-24', 'YYYY-MM-DD'), 40, '+1-814-191-1935', TO_TIMESTAMP('2021-04-19T05:50:51Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1682, 'Silver', 7742, 1, 0, 5, 774.26, 154.85, TO_DATE('2022-01-31', 'YYYY-MM-DD'), 1395, 'Madrid, Online', 1.09, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (388, 'Nicholas Diaz', 'nicholas.diaz@internalmail', 'Female', TO_DATE('1986-11-24', 'YYYY-MM-DD'), 39, '+1-212-324-1117', TO_TIMESTAMP('2021-07-03T08:11:01Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1607, 'Silver', 11571, 1, 1, 6, 1157.19, 192.87, TO_DATE('2022-02-07', 'YYYY-MM-DD'), 1388, 'Johannesburg, Online', 1.36, 0, 'High Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (389, 'Justin Bailey', 'justin.bailey@internalmail', 'Non-binary', TO_DATE('1995-02-17', 'YYYY-MM-DD'), 30, '+1-289-919-5241', TO_TIMESTAMP('2021-05-25T23:44:04Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1645, 'Bronze', 4794, 1, 0, 3, 479.45, 159.82, TO_DATE('2022-01-26', 'YYYY-MM-DD'), 1400, 'Lagos, Online', 0.67, 0, 'Low Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (390, 'Pamela Alexander', 'pamela.alexander@internalmail', 'Male', TO_DATE('1965-11-07', 'YYYY-MM-DD'), 60, '+1-440-623-4801', TO_TIMESTAMP('2021-07-04T18:51:05Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1605, 'Silver', 7670, 1, 1, 6, 767.09, 127.85, TO_DATE('2022-02-12', 'YYYY-MM-DD'), 1383, 'Online, Vienna', 1.36, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (349, 'Britney Gable', 'britney.gable@internalmail', 'Female', TO_DATE('1971-09-05', 'YYYY-MM-DD'), 54, '+1-893-698-5461', TO_TIMESTAMP('2021-10-01T06:48:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1517, 'Bronze', 6332, 1, 0, 4, 633.25, 158.31, TO_DATE('2022-01-17', 'YYYY-MM-DD'), 1409, 'Online', 0.96, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (350, 'Lorilee Bautista', 'lorilee.bautista@internalmail', 'Non-binary', TO_DATE('2000-10-09', 'YYYY-MM-DD'), 25, '+1-589-826-4172', TO_TIMESTAMP('2021-05-02T05:25:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1669, 'Silver', 10576, 1, 1, 6, 1057.61, 176.27, TO_DATE('2021-10-08', 'YYYY-MM-DD'), 1510, 'Online, San Francisco', 1.31, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (351, 'Anisa Kurtz', 'anisa.kurtz@internalmail', 'Male', TO_DATE('1998-08-26', 'YYYY-MM-DD'), 27, '+1-883-761-6619', TO_TIMESTAMP('2021-06-03T16:04:46Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1636, 'Silver', 10477, 1, 0, 7, 1047.71, 149.67, TO_DATE('2022-03-23', 'YYYY-MM-DD'), 1344, 'Online, Seattle', 1.56, 0, 'High Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (352, 'Maryalice Evers', 'maryalice.evers@internalmail', 'Female', TO_DATE('1970-10-13', 'YYYY-MM-DD'), 55, '+1-698-780-3582', TO_TIMESTAMP('2021-05-24T20:26:27Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1646, 'Silver', 7691, 1, 1, 6, 769.18, 128.2, TO_DATE('2022-01-12', 'YYYY-MM-DD'), 1414, 'New York City, Online', 1.33, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (353, 'Andria Myles', 'andria.myles@internalmail', 'Non-binary', TO_DATE('2007-09-26', 'YYYY-MM-DD'), 18, '+1-496-219-3446', TO_TIMESTAMP('2021-08-28T06:18:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1551, 'Bronze', 7533, 1, 0, 4, 753.35, 188.34, TO_DATE('2022-03-15', 'YYYY-MM-DD'), 1352, 'Chicago, Online', 0.94, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (354, 'Dede Bundy', 'dede.bundy@internalmail', 'Male', TO_DATE('1967-07-14', 'YYYY-MM-DD'), 58, '+1-873-298-8906', TO_TIMESTAMP('2021-06-08T04:17:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1632, 'Silver', 8304, 1, 1, 5, 830.4, 166.08, TO_DATE('2022-04-03', 'YYYY-MM-DD'), 1333, 'London, Online', 1.12, 0, 'Medium Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (355, 'Twila Hilliard', 'twila.hilliard@internalmail', 'Female', TO_DATE('1962-06-12', 'YYYY-MM-DD'), 63, '+1-385-294-8714', TO_TIMESTAMP('2021-05-22T06:47:48Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1649, 'Silver', 14129, 1, 0, 8, 1412.94, 176.62, TO_DATE('2022-02-16', 'YYYY-MM-DD'), 1379, 'Bucharest, Online', 1.77, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (356, 'Gene Mcginnis', 'gene.mcginnis@internalmail', 'Non-binary', TO_DATE('2007-08-22', 'YYYY-MM-DD'), 18, '+1-537-803-5045', TO_TIMESTAMP('2021-05-04T01:28:40Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1667, 'Bronze', 3223, 1, 1, 2, 322.34, 161.17, TO_DATE('2021-11-18', 'YYYY-MM-DD'), 1469, 'Berlin, Online', 0.44, 0, 'Low Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (357, 'Shaquana Carney', 'shaquana.carney@internalmail', 'Male', TO_DATE('1963-07-28', 'YYYY-MM-DD'), 62, '+1-952-661-7941', TO_TIMESTAMP('2021-07-05T07:00:31Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1605, 'Silver', 8943, 1, 0, 9, 894.3, 99.37, TO_DATE('2022-03-18', 'YYYY-MM-DD'), 1349, 'Online, Utrecht', 2.05, 0, 'Medium Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (358, 'Gita Dobbs', 'gita.dobbs@internalmail', 'Female', TO_DATE('1988-04-22', 'YYYY-MM-DD'), 37, '+1-964-552-9318', TO_TIMESTAMP('2021-08-08T09:50:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1571, 'Silver', 7992, 1, 1, 5, 799.22, 159.84, TO_DATE('2022-02-15', 'YYYY-MM-DD'), 1380, 'Madrid, Online', 1.16, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (359, 'Dorathy Hutchings', 'dorathy.hutchings@internalmail', 'Non-binary', TO_DATE('2005-02-19', 'YYYY-MM-DD'), 20, '+1-977-229-3382', TO_TIMESTAMP('2021-10-10T19:45:22Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1507, 'Silver', 6199, 1, 0, 7, 619.94, 88.56, TO_DATE('2022-03-10', 'YYYY-MM-DD'), 1357, 'Johannesburg, Online', 1.7, 0, 'Medium Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (360, 'Shirley Ward', 'shirley.ward@internalmail', 'Male', TO_DATE('1989-06-07', 'YYYY-MM-DD'), 36, '+1-931-748-9178', TO_TIMESTAMP('2021-06-15T20:49:37Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1624, 'Bronze', 5381, 1, 1, 3, 538.14, 179.38, TO_DATE('2022-01-27', 'YYYY-MM-DD'), 1399, 'Lagos, Online', 0.67, 0, 'Medium Value', 1, 0, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (361, 'Frank Perez', 'frank.perez@internalmail', 'Female', TO_DATE('2007-03-19', 'YYYY-MM-DD'), 18, '+1-875-684-3000', TO_TIMESTAMP('2021-05-31T04:49:56Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1640, 'Silver', 13003, 1, 0, 7, 1300.34, 185.76, TO_DATE('2022-01-28', 'YYYY-MM-DD'), 1398, 'Online, Vienna', 1.56, 0, 'High Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (362, 'Barbara Allen', 'barbara.allen@internalmail', 'Non-binary', TO_DATE('1967-03-13', 'YYYY-MM-DD'), 58, '+1-775-802-6538', TO_TIMESTAMP('2021-07-24T07:24:32Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1586, 'Silver', 10422, 1, 1, 7, 1042.21, 148.89, TO_DATE('2022-02-28', 'YYYY-MM-DD'), 1367, 'Mumbai, Online', 1.61, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (363, 'Justin King', 'justin.king@internalmail', 'Male', TO_DATE('2006-07-07', 'YYYY-MM-DD'), 19, '+1-940-742-8710', TO_TIMESTAMP('2021-09-24T19:31:54Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1523, 'Bronze', 6904, 1, 0, 4, 690.4, 172.6, TO_DATE('2022-03-08', 'YYYY-MM-DD'), 1359, 'New Dehli, Online', 0.96, 0, 'Medium Value', 1, 0, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (364, 'Harold Griffin', 'harold.griffin@internalmail', 'Female', TO_DATE('1967-12-29', 'YYYY-MM-DD'), 57, '+1-476-711-6944', TO_TIMESTAMP('2021-06-25T01:28:58Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1615, 'Silver', 12404, 1, 1, 9, 1240.47, 137.83, TO_DATE('2022-03-02', 'YYYY-MM-DD'), 1365, 'Online, Sydney', 2.03, 0, 'High Value', 1, 1, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (365, 'Jeffrey Coleman', 'jeffrey.coleman@internalmail', 'Non-binary', TO_DATE('2007-06-12', 'YYYY-MM-DD'), 18, '+1-322-231-5602', TO_TIMESTAMP('2021-05-10T07:53:12Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1661, 'Silver', 6276, 1, 0, 6, 627.68, 104.61, TO_DATE('2022-03-19', 'YYYY-MM-DD'), 1348, 'Online, Perth', 1.32, 0, 'Medium Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (366, 'Margaret Bennett', 'margaret.bennett@internalmail', 'Male', TO_DATE('1972-06-14', 'YYYY-MM-DD'), 53, '+1-939-891-1426', TO_TIMESTAMP('2021-08-24T08:51:35Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1555, 'Silver', 8278, 1, 1, 6, 827.81, 137.97, TO_DATE('2022-04-03', 'YYYY-MM-DD'), 1333, 'Online, São Paulo', 1.41, 0, 'Medium Value', 1, 0, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (367, 'Cheryl Phillips', 'cheryl.phillips@internalmail', 'Female', TO_DATE('1965-12-06', 'YYYY-MM-DD'), 59, '+1-548-788-5679', TO_TIMESTAMP('2021-06-12T21:21:32Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1627, 'Silver', 8795, 1, 0, 6, 879.53, 146.59, TO_DATE('2022-04-10', 'YYYY-MM-DD'), 1326, 'Buenos Aires, Online', 1.35, 0, 'Medium Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (368, 'Joan Miller', 'joan.miller@internalmail', 'Non-binary', TO_DATE('1987-05-01', 'YYYY-MM-DD'), 38, '+1-463-893-1943', TO_TIMESTAMP('2021-06-18T02:05:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1622, 'Silver', 8084, 1, 1, 5, 808.47, 161.69, TO_DATE('2022-03-28', 'YYYY-MM-DD'), 1339, 'Mexico City, Online', 1.13, 0, 'Medium Value', 1, 1, 3, 'business casual', 4, 3, 'Houston', 'TX', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (369, 'Chris Powell', 'chris.powell@internalmail', 'Male', TO_DATE('1975-05-05', 'YYYY-MM-DD'), 50, '+1-941-214-1842', TO_TIMESTAMP('2021-08-12T15:58:10Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1566, 'Bronze', 3466, 1, 0, 3, 346.6, 115.53, TO_DATE('2022-03-17', 'YYYY-MM-DD'), 1350, 'Bejing, Online', 0.7, 0, 'Low Value', 1, 0, 3, 'streetwear', 4, 3, 'Phoenix', 'AZ', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (370, 'Russell Rivera', 'russell.rivera@internalmail', 'Female', TO_DATE('1992-02-27', 'YYYY-MM-DD'), 33, '+1-675-912-2621', TO_TIMESTAMP('2021-07-25T00:13:16Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1585, 'Silver', 11793, 1, 1, 7, 1179.3, 168.47, TO_DATE('2022-04-07', 'YYYY-MM-DD'), 1329, 'Online, Tokyo', 1.61, 0, 'High Value', 1, 1, 3, 'casual', 4, 3, 'New York', 'NY', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (371, 'Nancy Hall', 'nancy.hall@internalmail', 'Non-binary', TO_DATE('1967-08-21', 'YYYY-MM-DD'), 58, '+1-556-262-3507', TO_TIMESTAMP('2021-06-20T14:17:23Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1619, 'Bronze', 5663, 1, 0, 2, 566.32, 283.16, TO_DATE('2022-03-24', 'YYYY-MM-DD'), 1343, 'Online', 0.45, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (372, 'Gerald Evans', 'gerald.evans@internalmail', 'Male', TO_DATE('1965-05-07', 'YYYY-MM-DD'), 60, '+1-223-654-5468', TO_TIMESTAMP('2021-05-24T05:16:50Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1647, 'Bronze', 10542, 1, 1, 4, 1054.28, 263.57, TO_DATE('2022-01-17', 'YYYY-MM-DD'), 1409, 'Online', 0.89, 0, 'High Value', 1, 0, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (391, 'Edward Coleman', 'edward.coleman@internalmail', 'Female', TO_DATE('1996-02-05', 'YYYY-MM-DD'), 29, '+1-310-723-6163', TO_TIMESTAMP('2021-05-21T00:29:33Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1650, 'Silver', 9718, 1, 0, 5, 971.8, 194.36, TO_DATE('2022-03-18', 'YYYY-MM-DD'), 1349, 'Mumbai, Online', 1.11, 0, 'Medium Value', 1, 1, 3, 'formal', 4, 3, 'Los Angeles', 'CA', 'USA');
+INSERT INTO customer_analytics_kpi (CUSTOMER_ID, FULL_NAME, EMAIL, GENDER, DATE_OF_BIRTH, AGE, PHONE_NUMBER, ACCOUNT_CREATED_DATE, CUSTOMER_TENURE_DAYS, LOYALTY_TIER, LOYALTY_POINTS, EMAIL_VERIFIED, SMS_OPT_IN, TOTAL_ORDERS, LIFETIME_VALUE, AVERAGE_ORDER_VALUE, LAST_ORDER_DATE, DAYS_SINCE_LAST_ORDER, PREFERRED_STORE, ORDER_FREQUENCY, IS_ACTIVE_CUSTOMER, CUSTOMER_SEGMENT, NEWSLETTER_SUBSCRIBED, PROMOTIONAL_EMAILS, MARKETING_CATEGORIES_COUNT, PREFERRED_STYLE, FAVORITE_COLORS_COUNT, FAVORITE_BRANDS_COUNT, CITY, STATE, COUNTRY) VALUES (392, 'Adam Miller', 'adam.miller@internalmail', 'Non-binary', TO_DATE('2009-01-06', 'YYYY-MM-DD'), 16, '+1-828-825-7684', TO_TIMESTAMP('2021-04-21T22:34:52Z', 'YYYY-MM-DD"T"HH24:MI:SS"Z"'), 1679, 'Silver', 10575, 1, 1, 7, 1057.53, 151.08, TO_DATE('2022-01-24', 'YYYY-MM-DD'), 1402, 'New Dehli, Online', 1.52, 0, 'High Value', 1, 1, 3, 'athletic', 4, 3, 'Chicago', 'IL', 'USA');
+
+
+exit;
+/
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/fashion-retail-app-2026-02-10-11-53.zip b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/fashion-retail-app-2026-02-10-11-53.zip
new file mode 100644
index 0000000..8d9a326
Binary files /dev/null and b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/fashion-retail-app-2026-02-10-11-53.zip differ
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/file_envs.sh b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/file_envs.sh
new file mode 100644
index 0000000..9c30cad
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/file_envs.sh
@@ -0,0 +1,4 @@
+unset ORACLE_HOME
+export JAVA_HOME=/usr/java/latest
+export PATH=$JAVA_HOME/bin:$PATH
+alias sql=/opt/oracle/sqlcl/bin/sql
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/outputs.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/outputs.tf
new file mode 100644
index 0000000..50e55bb
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/outputs.tf
@@ -0,0 +1,10 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+output "generated_admin_user_sql" {
+ value = local_sensitive_file.adw_admin_user_sql.filename
+}
+
+output "api_gateway_hostname_used_for_acl" {
+ value = var.api_gateway_hostname
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/provisioner.tf b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/provisioner.tf
new file mode 100644
index 0000000..5981537
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/provisioner.tf
@@ -0,0 +1,465 @@
+# Copyright © 2026, Oracle and/or its affiliates.
+# All rights reserved. Licensed under the Universal Permissive License (UPL), Version 1.0 as shown at https://oss.oracle.com/licenses/upl.
+
+terraform {
+ required_providers {
+ external = {
+ source = "hashicorp/external"
+ }
+ local = {
+ source = "hashicorp/local"
+ }
+ oci = {
+ source = "oracle/oci"
+ }
+ null = {
+ source = "hashicorp/null"
+ }
+ }
+}
+
+data "oci_objectstorage_namespace" "this" {
+ compartment_id = var.compartment_id
+}
+
+data "external" "atp_wallet_meta" {
+ program = ["bash", "${path.module}/read_wallet_and_cert.sh"]
+
+ query = {
+ wallet_zip = var.atp_wallet_zip_path
+ service_selector = var.service_selector
+ }
+}
+
+locals {
+ app_db_env = var.mongo_mode == "oracle_api" ? "oracle_adb" : (var.mongo_mode == "atlas" ? "atlas" : "oracle_sql")
+
+ oracle_runtime_user = "cohub"
+ oracle_runtime_password = "AaBbCcDdEe123#"
+ oracle_runtime_dsn = "${lower(var.db_name)}_tp"
+ oracle_runtime_wallet = "/home/opc/wallet_${var.db_name}"
+
+ effective_oci_user_ocid = trimspace(var.oci_user_ocid)
+ effective_oci_tenancy_ocid = trimspace(var.oci_tenancy_ocid)
+ effective_oci_fingerprint = trimspace(var.oci_fingerprint)
+ effective_oci_private_key = trimspace(replace(var.oci_private_key_pem, "\r", ""))
+
+ oci_private_key_sql = replace(local.effective_oci_private_key, "'", "''")
+
+ adw_cohub_user_sql = templatefile("${path.module}/adw-co-hub-v0.01-cohub-user.sql.tftpl", {
+ mongo_mode = var.mongo_mode
+ mongodb_hostname = var.mongodb_hostname
+ mongodb_db_name = var.mongodb_db_name
+ mongodb_username = var.mongodb_username
+ mongodb_password = var.mongodb_password
+
+ oci_user_ocid = local.effective_oci_user_ocid
+ oci_tenancy_ocid = local.effective_oci_tenancy_ocid
+ oci_fingerprint = local.effective_oci_fingerprint
+ oci_private_key_sql = local.oci_private_key_sql
+
+ objectstorage_region = var.objectstorage_region
+ objectstorage_namespace = data.oci_objectstorage_namespace.this.namespace
+ atp_creds_bucket_name = var.atp_creds_bucket_name
+
+ atp_hostname = data.external.atp_wallet_meta.result.hostname
+ atp_port = data.external.atp_wallet_meta.result.port
+ atp_service_name = data.external.atp_wallet_meta.result.service_name
+ atp_ssl_server_cert_dn = data.external.atp_wallet_meta.result.ssl_server_cert_dn
+
+ rag_region = var.rag_region
+ genai_embedding_region = var.genai_embedding_region
+ rag_compartment_id = var.rag_compartment_id
+ files_bucket_name = var.files_bucket_name
+ cart_items_api_url = var.cart_items_api_url
+ cart_summary_api_url = var.cart_summary_api_url
+
+ select_ai_model_nl2sql = var.select_ai_model_nl2sql
+ select_ai_model_agent = var.select_ai_model_agent
+ select_ai_model_rag = var.select_ai_model_rag
+ select_ai_embedding_model = var.select_ai_embedding_model
+ })
+
+ adw_admin_user_sql = templatefile("${path.module}/adw-co-hub-v0.01-admin-user.sql.tftpl", {
+ api_gateway_hostname = var.api_gateway_hostname
+ })
+
+ atp_co_mongo_setup_sql = templatefile("${path.module}/atp-co-mongo-setup.sql.tftpl", {})
+
+ adw_ai_profiles_oracle_sql = templatefile("${path.module}/adw_ai_profiles_oracle.sql.tftpl", {
+ rag_region = var.rag_region
+ select_ai_model_nl2sql = var.select_ai_model_nl2sql
+ select_ai_model_agent = var.select_ai_model_agent
+ })
+
+ adw_analytics_oracle_api_sql = templatefile("${path.module}/adw_analytics_oracle_api.sql.tftpl", {
+ rag_region = var.rag_region
+ select_ai_model_nl2sql = var.select_ai_model_nl2sql
+ select_ai_model_agent = var.select_ai_model_agent
+ })
+}
+
+resource "local_sensitive_file" "adw_cohub_user_sql" {
+ filename = "${path.module}/adw-co-hub-v0.01-cohub-user.generated.sql"
+ content = local.adw_cohub_user_sql
+}
+
+resource "local_sensitive_file" "adw_admin_user_sql" {
+ filename = "${path.module}/adw-co-hub-v0.01-admin-user.generated.sql"
+ content = local.adw_admin_user_sql
+}
+
+resource "local_file" "atp_co_mongo_setup_sql" {
+ content = local.atp_co_mongo_setup_sql
+ filename = "${path.module}/atp-co-mongo-setup.sql"
+}
+
+resource "local_sensitive_file" "adw_ai_profiles_oracle_sql" {
+ filename = "${path.module}/adw_ai_profiles_oracle.generated.sql"
+ content = local.adw_ai_profiles_oracle_sql
+}
+
+resource "local_sensitive_file" "adw_analytics_oracle_api_sql" {
+ filename = "${path.module}/adw_analytics_oracle_api.generated.sql"
+ content = local.adw_analytics_oracle_api_sql
+}
+
+resource "null_resource" "remote-exec" {
+depends_on = [
+ local_sensitive_file.adw_cohub_user_sql,
+ local_sensitive_file.adw_admin_user_sql,
+ local_file.atp_co_mongo_setup_sql,
+ local_sensitive_file.adw_ai_profiles_oracle_sql,
+ local_sensitive_file.adw_analytics_oracle_api_sql
+]
+
+ provisioner "file" {
+ source = "wallet_${var.db_name}.zip"
+ destination = "/home/opc/wallet_${var.db_name}.zip"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "wallet_${var.atp_db_name}.zip"
+ destination = "/home/opc/wallet_${var.atp_db_name}.zip"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/file_envs.sh"
+ destination = "/tmp/file_envs.sh"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "${path.module}/adw-co-hub-v0.01-admin-user.generated.sql"
+ destination = "/home/opc/adw-co-hub-v0.01-admin-user.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/cohub-create_tables_ddl.sql"
+ destination = "/home/opc/cohub-create_tables_ddl.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/cohub-product_catalog.sql"
+ destination = "/home/opc/cohub-product_catalog.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/co_install.sql"
+ destination = "/home/opc/co_install.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/co_create.sql"
+ destination = "/home/opc/co_create.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/co_populate.sql"
+ destination = "/home/opc/co_populate.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "${path.module}/adw-co-hub-v0.01-cohub-user.generated.sql"
+ destination = "/home/opc/adw-co-hub-v0.01-cohub-user.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "${path.module}/atp-co-mongo-setup.sql"
+ destination = "/home/opc/atp-co-mongo-setup.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/fashion-retail-app-2026-02-10-11-53.zip"
+ destination = "/home/opc/fashion-retail-app-2026-02-10-11-53.zip"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/co-customer_profile.csv"
+ destination = "/home/opc/co-customer_profile.csv"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/sync_mongo_atp_to_adw.py"
+ destination = "/home/opc/sync_mongo_atp_to_adw.py"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/adw_customer_profile_function_oracle.sql"
+ destination = "/home/opc/adw_customer_profile_function_oracle.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+provisioner "file" {
+ source = "${path.module}/adw_ai_profiles_oracle.generated.sql"
+ destination = "/home/opc/adw_ai_profiles_oracle.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+}
+
+ provisioner "file" {
+ source = "./modules/provisioner/adw_verify_customer_profile_oracle.sql"
+ destination = "/home/opc/adw_verify_customer_profile_oracle.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+# databricks
+ provisioner "file" {
+ source = "./modules/provisioner/atp_customer_analytics_kpi.sql"
+ destination = "/home/opc/atp_customer_analytics_kpi.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+ provisioner "file" {
+ source = "./modules/provisioner/databricks-customer_analytics_kpi.sql"
+ destination = "/home/opc/databricks-customer_analytics_kpi.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+ }
+
+provisioner "file" {
+ source = "${path.module}/adw_analytics_oracle_api.generated.sql"
+ destination = "/home/opc/adw_analytics_oracle_api.sql"
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+}
+
+ provisioner "remote-exec" {
+ connection {
+ agent = false
+ timeout = "30m"
+ host = var.host
+ user = "opc"
+ private_key = var.private_key
+ }
+
+ inline = [
+ "echo 'OCI user ocid length: ${length(local.effective_oci_user_ocid)}'",
+ "echo 'OCI tenancy ocid length: ${length(local.effective_oci_tenancy_ocid)}'",
+ "echo 'OCI fingerprint length: ${length(local.effective_oci_fingerprint)}'",
+ "echo 'OCI private key length: ${length(local.effective_oci_private_key)}'",
+
+ "sudo chmod 777 /tmp/file_envs.sh",
+ "sudo chmod 777 /home/opc/fashion-retail-app-2026-02-10-11-53.zip",
+ "sh /tmp/file_envs.sh",
+
+ "sudo dnf -y install unzip python39 python39-pip firewalld oracle-instantclient-release-el8 oracle-instantclient-basic || sudo yum -y install unzip python39 python39-pip firewalld oracle-instantclient-basic",
+
+ "sudo systemctl enable --now firewalld || true",
+ "ZONE=$(sudo firewall-cmd --get-active-zones 2>/dev/null | head -n 1); if [ -z \"$ZONE\" ]; then ZONE=public; fi; echo \"Using firewalld zone: $ZONE\"",
+ "sudo firewall-cmd --zone=$ZONE --permanent --add-port=5000/tcp || true",
+ "sudo firewall-cmd --reload || true",
+
+ "mkdir -p /home/opc/wallet_${var.db_name}",
+ "unzip -o /home/opc/wallet_${var.db_name}.zip -d /home/opc/wallet_${var.db_name}",
+
+ "cat > /home/opc/wallet_${var.db_name}/sqlnet.ora <<'EOF'\nWALLET_LOCATION = (SOURCE = (METHOD = file) (METHOD_DATA = (DIRECTORY=\"/home/opc/wallet_${var.db_name}\")))\nSSL_SERVER_DN_MATCH=yes\nEOF",
+
+ "sudo rm -rf /home/opc/fashion-retail-app",
+ "mkdir -p /home/opc/fashion-retail-app",
+ "unzip -o /home/opc/fashion-retail-app-2026-02-10-11-53.zip -d /home/opc/fashion-retail-app",
+
+ "APP_DIR=/home/opc/fashion-retail-app/fashion-retail-app",
+ "echo \"APP_DIR=$APP_DIR\"",
+
+ "cat > $APP_DIR/.env <<'EOF'\nDOCUMENT_BACKEND=${var.mongo_mode}\nDB_ENV=${local.app_db_env}\nMONGO_URI=${var.mongo_uri}\nMONGO_DBNAME=${var.mongo_db_name}\nORACLE_USER=cohub\nORACLE_PASSWORD=AaBbCcDdEe123#\nORACLE_DSN=${lower(var.db_name)}_tp\nORACLE_WALLET_LOCATION=/home/opc/wallet_${var.db_name}\nTNS_ADMIN=/home/opc/wallet_${var.db_name}\nEOF",
+
+ "cat > /home/opc/sync_mongo_atp_to_adw.env <<'EOF'\nexport MONGO_URI='${var.mongo_uri}'\nexport MONGO_DBNAME='${var.mongo_db_name}'\nexport ORACLE_USER='cohub'\nexport ORACLE_PASSWORD='AaBbCcDdEe123#'\nexport ORACLE_DSN='${lower(var.db_name)}_tp'\nexport ORACLE_WALLET_LOCATION='/home/opc/wallet_${var.db_name}'\nEOF",
+
+ "cd $APP_DIR && if [ -d flask_session ]; then mv flask_session flask_session_local_backup_$(date +%s); fi",
+ "cd $APP_DIR && rm -rf venv",
+ "cd $APP_DIR && python3.9 -m venv venv",
+ "cd $APP_DIR && ./venv/bin/python -m pip install --upgrade pip",
+ "cd $APP_DIR && ./venv/bin/python -m pip install 'Flask==2.0.3' 'Werkzeug==2.0.3' 'Flask-Session==0.4.0' 'pymongo[srv]==4.0.2' 'oracledb' 'python-dotenv' 'select_ai' 'Markdown' 'PyYAML'",
+
+ "sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"ADMIN/${var.db_password}@${var.conn_db}\" @/home/opc/adw-co-hub-v0.01-admin-user.sql",
+ "sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"ADMIN/${var.atp_db_password}@${var.conn_db_atp}\" @/home/opc/co_install.sql",
+ "sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"CO/AaBbCcDdEe123#@${var.conn_db_atp}\" @/home/opc/co_create.sql",
+ "sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"CO/AaBbCcDdEe123#@${var.conn_db_atp}\" @/home/opc/co_populate.sql",
+
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Running ATP CO Mongo Setup ==='; sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"ADMIN/${var.atp_db_password}@${var.conn_db_atp}\" @/home/opc/atp-co-mongo-setup.sql; fi",
+
+ "echo '=== Importing co-customer_profile.csv into Mongo-compatible backend ==='",
+ "ls -lah /home/opc/co-customer_profile.csv",
+ "if [ \"${var.mongo_mode}\" = \"atlas\" ] || [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then cd $APP_DIR && ./venv/bin/python - <<'PY'\nimport csv\nimport json\nfrom pymongo import MongoClient\n\nmongo_uri = '${var.mongo_uri}'\ndb_name = '${var.mongo_db_name}'\ncsv_file = '/home/opc/co-customer_profile.csv'\n\nprint('Connecting to Mongo-compatible backend...')\nclient = MongoClient(mongo_uri, serverSelectionTimeoutMS=10000, connectTimeoutMS=10000, retryWrites=False)\nclient.admin.command('ping')\ndb = client[db_name]\n\ncustomer_profile = db['customer_profile']\napp_users = db['app_users']\nshopping_cart = db['shopping_cart']\nchat_history = db['chat_history']\n\ncustomer_profile.drop()\napp_users.delete_many({})\nshopping_cart.delete_many({})\nchat_history.delete_many({})\n\ndocs = []\nusers = []\nseen_emails = set()\n\nwith open(csv_file, newline='', encoding='utf-8-sig') as f:\n reader = csv.DictReader(f)\n for row in reader:\n if not row.get('DATA'):\n continue\n\n doc = json.loads(row['DATA'])\n docs.append(doc)\n\n customer_id = doc.get('customerId')\n personal = doc.get('personalInfo', {}) or {}\n email = personal.get('email')\n full_name = personal.get('fullName')\n\n if email and email not in seen_emails:\n users.append({\n 'email': email,\n 'full_name': full_name or email,\n 'password': 'user',\n 'customer_id': customer_id,\n 'is_active': 'Y'\n })\n seen_emails.add(email)\n\nif docs:\n customer_profile.insert_many(docs)\n print(f'Inserted into customer_profile: {len(docs)}')\nelse:\n print('No documents found in DATA column')\n\nif users:\n app_users.insert_many(users)\n print(f'Inserted into app_users from customer profiles: {len(users)}')\nelse:\n print('No users generated from CSV')\n\napp_users.delete_many({'email': 'demo@demo.com'})\napp_users.insert_one({\n 'email': 'demo@demo.com',\n 'full_name': 'Demo User',\n 'password': 'demo',\n 'customer_id': 1,\n 'is_active': 'Y'\n})\nprint('Inserted demo user into app_users')\n\nshopping_cart.insert_one({'_bootstrap': True})\nshopping_cart.delete_one({'_bootstrap': True})\nchat_history.insert_one({'_bootstrap': True})\nchat_history.delete_one({'_bootstrap': True})\n\nprint('customer_profile count =', customer_profile.count_documents({}))\nprint('app_users count =', app_users.count_documents({}))\nprint('shopping_cart count =', shopping_cart.count_documents({}))\nprint('chat_history count =', chat_history.count_documents({}))\nprint('sample profile =', customer_profile.find_one({}, {'customerId': 1, 'personalInfo.email': 1, 'personalInfo.fullName': 1}))\nprint('sample app user =', app_users.find_one({}, {'email': 1, 'full_name': 1, 'customer_id': 1}))\nPY\nfi",
+
+ "sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/cohub-create_tables_ddl.sql",
+ "sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/cohub-product_catalog.sql",
+ "sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/adw-co-hub-v0.01-cohub-user.sql",
+
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Syncing Mongo ATP profiles into ADW ==='; set -a; . /home/opc/sync_mongo_atp_to_adw.env; set +a; /home/opc/fashion-retail-app/fashion-retail-app/venv/bin/python /home/opc/sync_mongo_atp_to_adw.py; fi",
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Applying Oracle customer profile function ==='; sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/adw_customer_profile_function_oracle.sql; fi",
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Applying Oracle AI profiles ==='; sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/adw_ai_profiles_oracle.sql; fi",
+
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Creating ATP analytics table ==='; sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"CO/AaBbCcDdEe123#@${var.conn_db_atp}\" @/home/opc/atp_customer_analytics_kpi.sql; fi",
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Loading ATP analytics data ==='; sql -cloudconfig /home/opc/wallet_${var.atp_db_name}.zip \"CO/AaBbCcDdEe123#@${var.conn_db_atp}\" @/home/opc/databricks-customer_analytics_kpi.sql; fi",
+ "if [ \"${var.mongo_mode}\" = \"oracle_api\" ]; then echo '=== Wiring ADW analytics over atp_co_link ==='; sql -cloudconfig /home/opc/wallet_${var.db_name}.zip \"cohub/AaBbCcDdEe123#@${var.conn_db}\" @/home/opc/adw_analytics_oracle_api.sql; fi",
+
+ "cd $APP_DIR && ./venv/bin/python db_connection.py",
+
+ "sudo pkill -f 'app.py' || true",
+ "cd $APP_DIR && nohup ./venv/bin/python -u ./app.py > app.log 2>&1 &",
+ "sleep 3",
+ "cd $APP_DIR && tail -n 200 app.log || true",
+
+ "echo '=== Application deployment finished ==='",
+ "echo 'You can now access the application in your browser.'",
+ "echo 'URL: http://${var.host}:5000'",
+ "echo 'Use one of the demo users populated from the database to sign in.'",
+ "echo 'Example credentials:'",
+ "echo ' Username: tammy.bryant@internalmail'",
+ "echo ' Password: user'",
+ "echo '=== Application is ready ==='"
+ ]
+ }
+}
\ No newline at end of file
diff --git a/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/read_wallet_and_cert.sh b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/read_wallet_and_cert.sh
new file mode 100755
index 0000000..75b9f36
--- /dev/null
+++ b/cloud-foundation/solutions/AI-Live-Hub-Fashion-Retail-Demo/modules/provisioner/read_wallet_and_cert.sh
@@ -0,0 +1,102 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+input="$(cat)"
+
+wallet_zip="$(printf '%s' "$input" | python3 -c 'import json,sys; print(json.load(sys.stdin)["wallet_zip"])')"
+service_selector="$(printf '%s' "$input" | python3 -c 'import json,sys; print(json.load(sys.stdin)["service_selector"])')"
+
+workdir="$(mktemp -d)"
+cleanup() {
+ rm -rf "$workdir"
+}
+trap cleanup EXIT
+
+if [[ ! -f "$wallet_zip" ]]; then
+ python3 - <