Automated Restaurant Call Handling & Table Booking System with VAPI and PostgreSQL
n8n template #5466Summary
Use templateActs as a virtual receptionist for the restaurant, handling incoming calls via VAPI without human intervention. It collects user details (name, booking time, number of people) for table bookings, checks availability in a PostgreSQL database using n8n, books the table if available, and sends confirmation. It also provides restaurant details to users, mimicking a human receptionist. Key Insights VAPI must be configured to accurately capture user input for bookings and inquiries. PostgreSQL database requires a table to manage restaurant bookings and availability. Workflow Process Initiate the workflow with a VAPI call to collect user details (name, time, number of people). Use n8n to query the
Hand off to your agent
Prompt
Help me set up the n8n workflow "Automated Restaurant Call Handling & Table Booking System with VAPI and PostgreSQL" (https://n8n.io/workflows/5466). It uses: Postgres. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.
Paste into Claude Code and it will do the rest.
Apps and nodes
Similar workflows
NameViews
- Generate Instagram Content from Top Trends with AI Image Generation72K
- AI Agent for realtime insights on meetings16K
- Insert Excel data to Postgres12K
- WordPress - AI Chatbot to enhance user experience - with Supabase and OpenAI11K
- 🤖 Advanced Slackbot with n8n9,377
- ETL pipeline for text processing8,734
- Query Google Sheets/CSV data through an AI Agent using PostgreSQL8,069
- Suspicious Login Detection6,442