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Description
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.
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