WhatsApp Restaurant Order & Delivery with GPT-4o & Supabase
AI-powered WhatsApp system for restaurant orders, handling text, voice, images, PDFs, locations via GPT-4o, Supabase memory, OCR payments, and multilingual responses.
This workflow builds a full AI-driven restaurant ordering and delivery system integrated with WhatsApp Business API. It processes customer messages including multimedia (text, voice notes, images, PDFs, locations), uses GPT-4o to detect intent, manage conversations, guide menu selection, process orders, verify payments via OCR on receipts, and dispatch formatted orders to staff. Supabase stores conversation history and vectors for menu/context retrieval, ensuring personalized, context-aware interactions.
Key benefits include massive time savings by automating customer service without extra staff, support for multiple languages, seamless handling of complex flows like custom orders or delivery tracking via Google Maps, and robust payment verification. It reduces errors, scales for high-volume orders, and provides real-time updates.
Ideal for restaurant owners, food delivery services, and hospitality businesses seeking efficient WhatsApp automation. Use cases: quick-service eateries handling peak-hour rushes, multi-location chains standardizing orders, or startups launching contactless ordering amid digital shifts.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
Related bundle
WhatsApp Business Automation
7 hand-picked workflows for $39.00.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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