AI WhatsApp Assistant for Restaurant Orders & Delivery

Automate WhatsApp orders for restaurants with AI-powered chat, dynamic delivery fee calculation by distance, and CRM integration for efficient customer service.

n8n
AI WhatsApp Assistant for Restaurant Orders & Delivery

This n8n workflow deploys an intelligent AI-powered WhatsApp assistant tailored for restaurants, burger joints, and delivery services. It handles end-to-end order processing: receiving customer messages, guiding them through menus with recommendations, confirming selections, and managing interactions seamlessly. Key integrations include WhatsApp for messaging, AI for natural conversations, geolocation services for distance-based fee calculations, and databases for storing customer data like orders, preferences, and addresses.

Benefits include real-time automation that reduces manual labor, minimizes errors in order taking, and enhances customer satisfaction with instant responses and updates. It calculates delivery fees dynamically based on customer location, ensuring accurate pricing. Integration with CRM and POS systems syncs data effortlessly, enabling better inventory management, sales tracking, and personalized service.

Ideal use cases: Small to medium restaurants handling high-volume WhatsApp orders, delivery platforms optimizing logistics, or food businesses scaling customer support without additional staff. Note: Requires self-hosted n8n with community nodes for full functionality; secure API credentials are essential.

Streamline operations, boost revenue through upselling via AI recommendations, and provide 24/7 service to compete in the fast-paced food delivery market.

$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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