AI-powered restaurant order and menu management with WhatsApp and Google Gemini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

RestaurantBot Pro WhatsApp Order Automation System Description RestaurantBot Pro is a complete AI powered restaurant ordering system that transforms your WhatsApp into a smart ordering platform. Th...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.whatsapptrigger, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.whatsapp, n8n-nodes-base.supabase, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.supabasetool

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Tamer.

Original n8n.io source

1.1 Workflow description

Title: AI-powered restaurant order and menu management with WhatsApp and Google Gemini
Workflow name: AI-powered restaurant order and menu management with WhatsApp and Google Gemini

RestaurantBot Pro - WhatsApp Order Automation System

Description

RestaurantBot Pro is a complete AI-powered restaurant ordering system that transforms your WhatsApp into a smart ordering platform. This intelligent automation handles customer interactions in any language you configure, manages your menu database, processes orders, and coordinates delivery operations - all through familiar WhatsApp messaging.

How It Works

Customer Experience:

Customers message your restaurant's WhatsApp number in their preferred language The AI assistant greets them and presents your current menu with prices Customers can ask questions about items, place orders, and specify delivery details The system remembers customer preferences and order history for personalized service Customers receive instant confirmation and order updates

Restaurant Operations:

All orders are automatically saved to your database with customer details The system generates formatted messages for your delivery team with all order specifics Menu items are stored using advanced AI search, making it easy to find and recommend dishes Customer database grows automatically, tracking preferences and order history Real-time order processing with preparation time estimates

Smart Features:

Understands natural language ordering in any language (easily customizable in system settings) Intelligent menu recommendations based on customer queries Automatic price calculations and order summaries Memory system that recalls customer preferences across conversations Seamless integration between customer orders and delivery coordination Fully customizable language support - simply modify the AI agent's system instructions to serve customers in Arabic, English, French, Spanish, or any language of your choice

Setup Steps

Database Preparation

Set up your restaurant database with customer and order tables Configure AI-powered menu search capabilities Enable vector extensions for intelligent menu recommendations

WhatsApp Integration

Connect your business WhatsApp account Configure webhook endpoints for message handling Set up automated responses and delivery notifications

AI Configuration

Connect Google Gemini AI models for natural language processing Customize language settings by editing the AI agent's system instructions to match your target audience Set up structured order processing and validation

Menu Management

Add your menu items through the admin interface Include prices, descriptions, categories, and preparation times Enable intelligent search and recommendations

Delivery Setup : just add delevery phone number to the "Send Order to delevery" node

Perfect for: Restaurants serving any cuisine and customer base - whether you need Arabic, English, French, Spanish, or any other language support. Simply adjust the AI agent's language settings to match your customers' preferences. Ideal for traditional ethnic restaurants, international chains, local eateries, delivery-focused establishments, and any restaurant wanting to modernize their ordering process while maintaining authentic customer communication in their preferred language.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - WhatsApp Trigger

Type / Role: n8n-nodes-base.whatsAppTrigger - whatsAppTrigger
Config choices: Version 1

Block 2 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - Send last message

Type / Role: n8n-nodes-base.whatsApp - whatsApp
Config choices: Version 1

Block 4 - Get user

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 5 - Check if user exists

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 6 - Add user to db

Type / Role: n8n-nodes-base.supabase - supabase
Config choices: Version 1

Block 7 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 8 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 9 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 10 - Create order in database

Type / Role: n8n-nodes-base.supabaseTool - supabaseTool
Config choices: Version 1

Block 11 - Add menu item

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 12 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1.1

Block 13 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 17 - Embeddings Google Gemini

Type / Role: @n8n/n8n-nodes-langchain.embeddingsGoogleGemini - embeddingsGoogleGemini
Config choices: Version 1

Block 18 - Google Gemini Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 19 - Send Order to delevery guy

Type / Role: n8n-nodes-base.whatsApp - whatsApp
Config choices: Version 1

Block 20 - Insert Menu Item to Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1.3

Block 21 - Get Menu Items from Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1.3

3. Summary Table

Workflow	AI-powered restaurant order and menu management with WhatsApp and Google Gemini
Complexity	advanced
Nodes	21
Categories	Support Chatbot, AI Chatbot
Author	Tamer
Published	21 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5096/5096.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does AI-powered restaurant order and menu management with WhatsApp and Google Gemini do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Tamer

6 workflows

Nodes

n8n-nodes-base.whatsapptrigger @n8n/n8n-nodes-langchain.agent n8n-nodes-base.whatsapp n8n-nodes-base.supabase n8n-nodes-base.if @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.supabasetool

Complexity

advanced

Published 21 Jun 2025

Likes 0

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Install path: /data/workflows/5096/5096.json

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AI-powered restaurant order and menu management with WhatsApp and Google Gemini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

RestaurantBot Pro - WhatsApp Order Automation System

Description

How It Works

Customer Experience:

Restaurant Operations:

Smart Features:

Setup Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - WhatsApp Trigger

Block 2 - AI Agent

Block 3 - Send last message

Block 4 - Get user

Block 5 - Check if user exists

Block 6 - Add user to db

Block 7 - Simple Memory

Block 8 - Structured Output Parser

Block 9 - If

Block 10 - Create order in database

Block 11 - Add menu item

Block 12 - Default Data Loader

Block 13 - Sticky Note

Block 14 - Sticky Note1

Block 15 - Sticky Note2

Block 16 - Google Gemini Chat Model

Block 17 - Embeddings Google Gemini

Block 18 - Google Gemini Chat Model1

Block 19 - Send Order to delevery guy

Block 20 - Insert Menu Item to Vector Store

Block 21 - Get Menu Items from Vector Store

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions