How I automated 5 core restaurant operations with AI agents — modular architecture breakdown

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.

3 comments