Hey everyone 👋 Finished a portfolio project I'm excited to share — a Restaurant AI Suite that automates 5 core areas of restaurant operations. The problem it solves: Restaurant owners spend hours every week on tasks that can be fully automated — checking reviews, handling bookings, monitoring stock, promoting the menu. This system handles all of it. 🍽️ What it does: → Monitors reputation on Google Maps, TripAdvisor & Yelp — AI sentiment analysis every 6 hours → Handles reservations via Telegram bot — auto-confirms by email, sends reminder 24h before → Recommends menu items daily based on live weather conditions → Checks inventory and sends low-stock alerts before items run out → Analyzes dish photos with AI vision and generates professional menu photos with DALL-E 3 All results go into a live dashboard the owner can check from their phone. 💡 The key design decision: modular architecture. Each agent is an independent n8n workflow. The client can start with 1 agent and add more over time — without touching existing workflows. Need a guest return engine? Delivery bot? Social media poster? Each one slots in as a new agent. This is the approach I use for all client projects now — start small, expand modularly. Full project on GitHub: github.com/Evgeniy1970-ai/restaurant-ai-suite Portfolio: neolithai.netlify.app Has anyone here built automation for HoReCa clients? Would love to hear what challenges you ran into.

Making this thread where people can talk & interact during the course. Have a question, spot an error, built something cool? Post it down below