AI WhatsApp Restaurant Order Manager with Gemini

Transforms WhatsApp into an AI-powered restaurant ordering system handling multilingual orders, menu management, customer memory, and delivery coordination seamlessly.

n8n
AI WhatsApp Restaurant Order Manager with Gemini

RestaurantBot Pro is a sophisticated n8n workflow that leverages Google Gemini AI to automate the entire restaurant ordering process via WhatsApp. Customers message in any language, receive personalized menu recommendations, place orders naturally, and get instant confirmations with delivery updates. The system maintains customer history for repeat personalization and integrates all data into a database for operational efficiency.

For customers, it provides a frictionless experience: natural language queries are understood, menus are presented dynamically, orders are tallied with prices, and preferences are remembered across sessions. Restaurants benefit from automatic order logging, real-time delivery notifications to staff, and intelligent features like preparation time estimates and recommendations based on past behavior.

Ideal for small to medium restaurants seeking to scale WhatsApp orders without additional staff. It saves hours on manual processing, reduces errors in order taking, boosts customer satisfaction through 24/7 availability, and supports global expansion with easy language customization. Use cases include quick-service eateries, cafes, and delivery-focused businesses integrating with existing POS or CRM systems.

$24.99
Last updated October 3, 2026
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Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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