A smart restaurant management system that uses LLM MODELS(AI) to take orders via WhatsApp and manages them on a live Dashboard.
Hotels and service businesses struggle with:
- Manual handling of guest requests
- Delays in menu sharing and order placement
- Fragmented payment and communication systems
- High staff workload for repetitive queries
ConciergeAI automates guest interactions by acting as a virtual concierge that can:
- Share digital menus instantly
- Take orders via chat
- Enable seamless payment flows
- Respond to common guest queries 24/7
All through a conversational AI interface.
- AI-powered chat concierge
- Digital menu delivery
- Order management
- Integrated payment flow
- Scalable backend architecture
- Designed for hotels & hospitality use-cases
- Backend: Node.js / Python (as applicable)
- AI / NLP: LLM-based conversational logic
- Messaging: WhatsApp / Web chat (planned)
- Payments: Razorpay / Stripe (planned)
- Database: MongoDB / PostgreSQL
🚧 MVP in active development
Core features are being built and tested.
Architecture is designed to scale for real-world deployment.
- Founder & Product Lead
- Core Developer(s)
To become a reliable AI concierge layer for hospitality businesses, reducing operational friction and improving guest experience through automation.
This repository contains the core codebase for ConciergeAI.