WhatsApp AI Restaurant Ordering n8n Workflow w/ GPT-4o & Supabase

Turn WhatsApp messages into fully automated restaurant orders (with AI)

This WhatsApp AI Restaurant Ordering n8n Workflow uses GPT-4o and Supabase to understand customer intent, guide users through menu selection, verify payment receipts via OCR, and send clean, formatted orders to your restaurant staff—end to end, all through WhatsApp Business.

What this workflow does

Designed to automate WhatsApp-based ordering for restaurants and hospitality teams, the workflow:

• Receives incoming customer messages via WhatsApp Business API (supports text, voice, images, PDFs, and location).
• Uses GPT-4 (GPT-4o access recommended) to interpret requests, manage conversation logic, and maintain an ordering flow.
• Handles the full ordering journey—from menu selection to collecting order details.
• Verifies payment receipts using OCR, then confirms the order automatically.
• Sends formatted orders to restaurant staff using the phone numbers you configure.
• Maintains conversation memory using Supabase (including vector storage for context).
• Responds automatically in multiple languages.

Use cases

• Restaurant owners who want fewer missed orders and faster responses on WhatsApp.
• Food delivery services that need location-aware ordering and streamlined fulfillment.
• Hospitality businesses automating FAQs, menu guidance, and order confirmation without hiring extra support staff.

Technical details

• WhatsApp Business API for message intake and staff notifications
• OpenAI API (GPT-4 / GPT-4o) for intent understanding and conversation handling
• Supabase for conversation memory + vector storage
• Google Drive for menu images and QR codes
• Google Maps API for location services
• Gemini API for PDF processing

n8n setup summary: add your API credentials, replace [PHONE_NUMBER] and restaurant placeholders, and upload your menu images to Google.