Automated Restaurant Virtual Receptionist & Table Booker with VAPI & Postgres

Automates restaurant call handling using VAPI to collect booking details, checks table availability in PostgreSQL, books tables, and sends confirmations without human intervention.

n8n
Automated Restaurant Virtual Receptionist & Table Booker with VAPI & Postgres

This n8n workflow acts as a fully automated virtual receptionist for restaurants, leveraging VAPI for handling incoming phone calls. It captures essential booking information such as customer name, preferred time, and party size through natural voice interactions. The system then queries a PostgreSQL database to verify table availability in real-time. If a suitable table is free, it automatically reserves it, updates the database, and relays a confirmation back to the caller via VAPI, complete with restaurant details like menu highlights or location info.

Key benefits include 24/7 availability without staff involvement, reducing operational costs and errors in manual bookings. It scales effortlessly for high call volumes during peak hours, improves customer satisfaction with instant responses, and provides a seamless, human-like experience powered by AI. Integration with PostgreSQL ensures reliable data management, enabling analytics on booking trends and occupancy rates.

Ideal use cases span independent eateries to hotel restaurants needing efficient reservation systems. Customize for multi-location chains by adjusting database queries or adding SMS notifications. Prerequisites include VAPI credentials and a PostgreSQL setup with tables for bookings and availability; test thoroughly with sample calls for optimal performance.

$19.99
Last updated October 17, 2026
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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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