### Scenario Description Develop a comprehensive AI-driven solution for restaurants, featuring: - A mobile app for customers (menu browsing, voice ordering, AI recommendations, table reservation, payments, loyalty) - A POS system for staff (voice-enabled order entry, billing, inventory, analytics, scheduling) - Integrated voice assistant for natural language interaction - Full automation (order routing, smart table assignment, feedback collection, delivery integration) ### Reasons for scenario - Modern restaurants require efficient, automated systems to streamline operations and improve customer experience. - AI and voice assistants can reduce manual workload, increase order accuracy, and enable personalized service. - Automation in POS and restaurant management increases efficiency and scalability. - This scenario showcases advanced ML/NLP/AI capabilities, integrating voice and automation into real-world hospitality use cases. ### Other Comments - Tech stack suggestions: Flutter/React Native/Swift/Kotlin, Node.js/Python/Java, Dialogflow/OpenAI Whisper/Amazon Lex, PostgreSQL/MongoDB/Firebase, AWS/Azure/GCP. - Suitable for demonstration and extension of Microsoft AI platform capabilities in vertical solutions. - Sub-issues can address architecture, UI/UX, voice AI integration, backend APIs, payment, hardware setup, and testing.