Automate Restaurant Call Handling and Table Booking with VAPI and PostgreSQL
This workflow automates restaurant call handling by using VAPI to manage incoming calls and PostgreSQL to check and book table availability, providing a seamless virtual receptionist experience.
The workflow acts as a virtual receptionist for restaurants, handling incoming calls via VAPI without human intervention. It collects user details such as name, booking time, and number of people for table bookings. The workflow then checks availability in a PostgreSQL database using n8n, books the table if available, and sends a confirmation back to the user. Additionally, it provides restaurant details to users, mimicking a human receptionist. This automation streamlines the booking process, reduces human error, and enhances customer service efficiency.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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