Automate restaurant customer service with WhatsApp and Llama AI chatbot

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Important notice

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

1. Workflow Overview

An intelligent WhatsApp based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n ...

Best for

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

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.whatsapp, n8n-nodes-base.wait, n8n-nodes-base.whatsapptrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatollama, n8n-nodes-base.if, n8n-nodes-base.postgres

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automate restaurant customer service with WhatsApp and Llama AI chatbot
Workflow name: Automate restaurant customer service with WhatsApp and Llama AI chatbot

An intelligent WhatsApp-based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n automation platform and powered by an AI language model, this solution streamlines communication, boosts efficiency, and improves customer satisfaction.

Objectives

Automate replies to common customer queries on WhatsApp
Handle table booking requests with confirmation
Provide menu item details, pricing, and dietary information
Share restaurant timing, location, and service availability
Promote offers and handle promotional queries
Operate 24/7 without manual intervention
Store bookings and conversations for reporting and analytics

Workflow Summary

Step 1: Message Reception

Node: WhatsApp Trigger (Webhook or API-based) Function: Listens for incoming customer messages.

Step 2: Intent Recognition

Node: AI Query Processor (e.g., OpenAI API) Function: Detects customer intent (e.g., booking, menu, timing).

Step 3: Conditional Routing

Node: Switch or IF Node Function: Routes flow based on detected intent:

General information (menu, timing, services)
Table booking

Step 4A: Respond to General Info Queries

Node: AI Response or Static Reply Node Function: Returns relevant information (menu, timing, address, etc.).

Step 4B: Process Booking Requests

Nodes:

Collect Booking Details (via chatbot interactions)
Store Booking Info (to DB or Google Sheets)
Send Booking Confirmation (to customer)

Step 5: Context Management

Node: Set/Update Customer Data Function: Maintains conversation state and tracks follow-up messages.

Database or Google Sheet Columns for Table Booking

Column Name	Description
reservation_id	Unique reservation identifier
guest_name	Full name of the guest
contact_number	Customer’s WhatsApp or mobile number
email	(Optional) Email address
booking_date	Reservation date (YYYY-MM-DD format)
booking_time	Reservation time (HH:MM format)
party_size	Number of guests
table_id	(Optional) Table number or identifier
special_requests	Allergies, seating preferences, etc.
status	Booking status: Confirmed / Cancelled / Pending
created_at	Timestamp when booking was made
updated_at	Timestamp when booking was last modified

Prerequisites

Verified WhatsApp Business Account with API access
n8n instance (Cloud or self-hosted)
Access to an AI service (e.g., OpenAI, Claude)
Google Sheets, Airtable, MySQL, or other DB integration

Setup Instructions

Connect WhatsApp API using webhook or third-party WhatsApp provider (e.g., 360Dialog, Twilio).
Integrate AI using HTTP Request or OpenAI node for response generation.
Create Data Store (Google Sheet, Airtable, or MySQL) with defined booking columns.
Design Workflow in n8n with intent detection, conditional logic, and response nodes.
Test End-to-End by sending different WhatsApp queries and checking logs and stored data.

Example Conversation

Customer: “Can I book a table for 2 people tomorrow at 8 PM?” Bot: “Sure. Please provide your name and contact number to confirm the reservation for 2 people at 8:00 PM tomorrow.” [Booking details are saved, and a confirmation is sent.]

Benefits

Fully automated customer interaction
Supports real-time table reservations
Accurate and quick responses
Scales without increasing staff effort
Operates 24/7
Centralized booking data for analytics

Analytics and Reporting

Track key performance metrics such as:

Number of bookings per day/week
Average response time
Customer satisfaction scores (via feedback node)
Popular menu items or query types
Booking conversion rates

Security and Compliance

End-to-end encrypted WhatsApp messages
Role-based access to sensitive data
Compliance with data protection regulations (e.g., GDPR)
Secure API integrations and storage solutions

Conclusion

This WhatsApp chatbot serves as a reliable, AI-powered digital front desk for restaurants. Built using n8n and scalable components, it automates customer support, manages bookings, and enhances operational efficiency while offering a seamless customer experience.

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 - Sticky Note

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

Block 2 - Send Reply to Customer

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

Block 3 - Wait For Response

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 4 - Receive WhatsApp Message

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

Block 5 - Extract Customer Query

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 6 - Generate Reply with AI

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

Block 7 - Check If Table Booking Required

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

Block 8 - Create New Table Booking

Type / Role: n8n-nodes-base.postgres - postgres
Config choices: Version 2.6

Block 9 - Send Booking Confirmation to Customer

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

3. Summary Table

Workflow	Automate restaurant customer service with WhatsApp and Llama AI chatbot
Complexity	intermediate
Nodes	9
Categories	Support Chatbot, AI Chatbot
Author	Oneclick AI Squad
Published	11 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5881/5881.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 Automate restaurant customer service with WhatsApp and Llama AI chatbot 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.

Oneclick AI Squad

224 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.whatsapp n8n-nodes-base.wait n8n-nodes-base.whatsapptrigger @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatollama n8n-nodes-base.if n8n-nodes-base.postgres

Complexity

intermediate

Published 11 Jul 2025

Likes 0

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Install path: /data/workflows/5881/5881.json

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Automate restaurant customer service with WhatsApp and Llama AI chatbot

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Objectives

Workflow Summary

Step 1: Message Reception

Step 2: Intent Recognition

Step 3: Conditional Routing

Step 4A: Respond to General Info Queries

Step 4B: Process Booking Requests

Step 5: Context Management

Database or Google Sheet Columns for Table Booking

Prerequisites

Setup Instructions

Example Conversation

Benefits

Analytics and Reporting

Security and Compliance

Conclusion

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Send Reply to Customer

Block 3 - Wait For Response

Block 4 - Receive WhatsApp Message

Block 5 - Extract Customer Query

Block 6 - Generate Reply with AI

Block 7 - Check If Table Booking Required

Block 8 - Create New Table Booking

Block 9 - Send Booking Confirmation to Customer

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