Software Components for AI Sommelier System

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Technical Specification: Software Components for AI Sommelier System 1. System Overview The AI Sommelier system is an advanced interactive digital sommelier designed to enrich guest experiences through intelligent conversation, personalized wine education, and engaging interaction. The system combines conversational AI, avatar technology, and seamless integration with physical robotic components to deliver an immersive hospitality experience. The system guides guests through wine selections, shares interesting wine facts and pairing suggestions, and enhances overall customer engagement in winery settings. 2. Product Description The system operates via an intuitive, user-friendly frontend interface that can be deployed on an iPadOS device or a web-based application. Guests are greeted by a lifelike or cartoon-styled avatar capable of natural speech and interactive dialogue. The AI seamlessly integrates speech-to-text and text-to-speech technologies, responding promptly and naturally to guest inquiries. The primary function of the avatar is to provide expert consultation about wines, leveraging extensive database information about wine types, f lavor profiles, pairings, vintages, and producer details. Through intelligent event detection mechanisms such as motion sensors or cameras, the system can dynamically switch from engaging conversation to performing automated actions, such as guiding the user to tasting stations or initiating wine-pouring sequences using robotic arms. 3. Application Frontend • • • • • • • Platform: iPadOS or Web App Technology: SwiftUI, React Native, or Web-based frameworks (selection based on development team skillset) Functionality: Interactive avatar interface Wine carousel with images and QR code integration Conversational AI interaction (GPT-4o) Speech-to-text and text-to-speech capabilities 4. AI Interaction Components • • • • • Conversational AI: OpenAI GPT-4o for natural language understanding, response generation, and wine education. Speech-to-Text: Whisper STT for accurate transcription of guest speech. Text-to-Speech: ElevenLabs TTS for natural and realistic voice output. Optional Apple TTS for offline or low-data fallback. 1 5. Avatar System • • • Realistic Avatar: D-ID (for lifelike avatars) Cartoon Avatar: Ready Player Me Custom Avatar: WebGL-based (optional, as per branding requirements) 6. Backend Server • • • Technology Stack: Flask (Python) or Node.js, supporting external business logic, database interactions, and API control Communication Protocols: WebSockets or REST API for frontend-backend integration Database Integration: Ability to interact and query comprehensive wine databases for dynamic content delivery during consultation sessions 7. Interaction Logic • • • Event Listeners: Motion detection via iPad event listeners (PIR sensor or camera input) Fallback Mechanism: Automatic timeout after 30 seconds of inactivity returning interface to the home/dock screen Mode Switching: Dynamic switching from conversational avatar mode to wine-pour robotic sequences 8. Performance and Optimization • • Local Caching: Implementation for wine information and QR menus to reduce API call frequency and latency Future Integrations: QR code scanning and smart inventory tracking for enhanced recommendation functionality 9. Development and Deployment Milestones • • • Initial Development: Upon approval, commence immediate frontend and backend development Stage 1 Implementation: AI app development and testing completed within 3-4 weeks Feedback Integration: Collect and integrate guest feedback for refinement before proceeding to further development stages 10. Security and Compliance • • Ensure secure communication channels between frontend and backend Comply with data privacy standards, ensuring safe handling of customer data