Automated Restaurant Receptionist & Table Booking with VAPI
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Automate your restaurant's reception and table booking process using n8n and VAPI. This workflow handles incoming calls, checks table availability in PostgreSQL, books tables if available, and sends instant confirmations back to your virtual receptionist, enhancing efficiency and customer experience.
About This Workflow
Streamline your restaurant operations by deploying a smart virtual receptionist powered by VAPI and n8n. This sophisticated workflow acts as your 24/7 booking agent, intelligently managing incoming calls to collect customer details like name, booking time, and party size. It then seamlessly connects to your PostgreSQL database to verify table availability in real-time. If a table is open, the system automatically processes the booking and sends immediate confirmation via VAPI, ensuring a smooth and delightful experience for your patrons. This not only frees up your staff but also eliminates missed booking opportunities, providing a modern, efficient, and reliable solution for your hospitality business.
Key Features
- Intelligent Voice Reception: Leverages VAPI to interact with customers, collect booking details, and provide hotel service information over the phone.
- Real-time Table Availability: Dynamically queries your PostgreSQL database to instantly check and confirm table availability.
- Automated Booking & Confirmation: Processes table reservations and sends booking confirmations back through VAPI without manual intervention.
- Seamless Database Integration: Directly connects with PostgreSQL for robust and reliable storage and retrieval of booking data.
- Dual-Flow Efficiency: Separately manages availability checks and actual booking requests for optimized performance and clarity.
How To Use
- Configure VAPI Webhooks: Set up your VAPI integration to send booking request data to the two distinct n8n webhook paths provided in the workflow (one for availability, one for booking).
- PostgreSQL Database Setup: Ensure you have a PostgreSQL database configured with a
table_id(or similar table for bookings) and appropriate columns for booking time, number of people, and customer details. - Update Database Credentials: Connect your PostgreSQL instance by updating the 'Postgres-test' credential within the 'Query Table Availability (Postgres)' and 'Upsert Booking in Postgres' nodes.
- Customize Database Queries: Modify the SQL queries within the PostgreSQL nodes to match your specific table and column names for availability checks and booking upserts, including logic for checking time slots and capacity.
- Adjust VAPI Responses: Fine-tune the JSON response bodies in the 'Respond: Availability Status (VAPI)' and 'Respond: Booking Confirmation (VAPI)' nodes to align with VAPI's expected confirmation formats and messages.
Apps Used
Workflow JSON
{
"id": "35550c92-153f-454d-b156-e34e23f21aa4",
"name": "Automated Restaurant Receptionist & Table Booking with VAPI",
"nodes": 18,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 35550c92-153f...
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