Automate Taxi Service Estimation with AI and Database Integration

This workflow automates taxi service fare estimation by integrating AI, PostgreSQL, and Redis for efficient data handling and caching. It processes incoming messages, calculates route distances using Google Maps API, and provides fare estimates.

This n8n workflow is designed for advanced users to automate taxi fare estimation. It integrates multiple services including AI for processing queries, PostgreSQL for service data retrieval, and Redis for session management and caching. The workflow listens for messages from a call center, retrieves service data, resets session data, and calculates route distances using Google Maps API. It supports error management and multi-language outputs, making it suitable for production environments.
Platform
n8n
Category
AI & Machine Learning
Price
$24.99
Creator
Eva Kowalski

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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