Welcome to the ERP UI Repository for our intelligent supply chain management platform. This system streamlines stock tracking, order management, and delivery operations — tailored for Manufacturer, Employees, and Retailers with a smart, role-based interface.
- 🔐 Authentication & Access Control
- 🌐 Dashboards
- 📦 Stock Management Module
- 💰 Accounting & Billing
- 👤 User Profile & Configuration
- 🧠 IoT & AI Integration
- 🛠️ Backend Overview
- 📦 IoT Edge-AI Package (IMX500)
- 💻 Tech Stack
- 🚀 Frontend Setup Guide
- 🎬 Vendor Frontend Setup Demo Video
- Login Page: Secure login system with Django access token authentication.
- User Roles: Manufacturer, Employee, and Retailer dashboards based on login credentials.
- Real-time stock levels, sales, and order tracking.
- Auto-order allocation system to assign tasks to employees intelligently.
- Reports and analytics with visualizations like bar charts and graphs.
- Assigned delivery tasks and order fulfillment interface.
- Shipping details and package tracking module.
- Real-time instructions and update system.
- Browse and place orders based on available stock.
- Track order status with live updates.
- Instant notifications on fulfillment or delays.
- Stock Count: Inventory metrics and real-time count.
- Stock Overview: Product availability and movement.
- Stock Overview Graph: Visual chart of supply and demand.
- High Demand Alerts: AI-based notification of fast-moving SKUs.
- Add Product: Interface for registering new products.
- Create New Bill: Generate bills and track invoices.
- Add New Customer: Customer creation and CRM module.
- Customer Invoices: View and manage past invoices.
- Vendor Bills: Manage purchase-side bills from suppliers.
- Track Payments: Visual payment tracking with due alerts.
- Configure Documents: Customize invoice/bill formats.
- User Details: Update personal and role-based information.
- Third-party Integration: Connect with external systems (e.g., accounting APIs, logistics).
- Company Configuration:
- Create Company
- Manage Company Details
(via IMX500 Sensor – on Backend)
An edge AI package powers vision-based automation:
- QR & Box Detection for order tracking
- Defect/Mismatch Detection for quality assurance
- Low-latency edge inference using OpenCV, YOLOv5, and MobileNet
- Data transmitted via MQTT
This comprehensive guide is designed to help you get started with the frontend of the Ignyte project. It provides step-by-step instructions for installation, configuration, and running the development server, ensuring a smooth setup process for developers at all experience levels.
- 🌐 Navigate to the frontend folder
git clone https://github.com/Vendor-Innovate-Solutions/Vendor-frontend cd Vendor-frontend - 📥 Install dependencies
npm i
- 🔄 Start the development server
npm run dev
- 🖥️ Visit in browser Open
http://localhost:3000
Note: The backend allows only port 3000 by default
- 📋 Prerequisites
Node.js (v16+ recommended) npm (comes bundled with Node.js)
🎥 Click here to watch on YouTube
Note: Just for information and understanding
Watch the full backend demo here 👉 Watch on YouTube
Built using Django and Django REST Framework — logic and automation powered from the backend.
- Orders from retailers are auto-assigned to employees based on workload, shift, and proximity.
- Real-time supply task completion auto-updates stock levels.
- Reduces manual intervention & ensures live accuracy.
- Secure, token-based endpoints.
- Fully modular and scalable for POS or ERP integration.
A smart hardware-vision interface that brings intelligence to package handling and verification.
- QR Code Detection: For rapid box verification.
- Defect Detection: Identifies mismatched or damaged inventory.
- AI runs on-device (Sony IMX500) with low latency.
- Uses MQTT to send real-time insights to the backend.
| Layer | Technology |
|---|---|
| Frontend | TypeScript, TailwindCSS, React |
| Backend | Django, Django REST Framework |
| Database | PostgreSQL |
| IoT / AI | IMX500, OpenCV, YOLOv5, MobileNet |
| Deployment | Railway, Docker, Gunicorn |