Ai Chatbot Call Center Taxi Booking Worker (Production Ready, Part 5) 4048 – n8n Workflows – Free Template

⬇️ Download workflow.json
Archivo detectado: wf-4048.json

What This Workflow Does

This n8n workflow automates taxi booking operations by integrating multiple systems into a unified automation process. It captures booking requests through a chat interface, processes them through business logic, stores data in PostgreSQL, manages scheduling with Google Calendar, and uses Redis for efficient data caching. The workflow intelligently routes different booking scenarios and executes secondary workflows for specialized handling.

How It Works

The workflow begins with a trigger that initiates the automation process, followed by data preparation and chat interface activation. When a user submits a booking request through the chat trigger, the system evaluates the request using conditional logic nodes. Based on the booking details, it either retrieves cached data from Redis, queries the PostgreSQL database for driver and vehicle information, or routes the request to specialized handling workflows. Google Calendar integration automatically schedules the taxi service, and the switch node determines the optimal workflow path based on booking complexity or special requirements.

Use Cases

  • Real-time taxi booking requests through conversational chat interfaces with instant confirmation and driver assignment
  • Automated driver scheduling and availability management using Google Calendar synchronization
  • Quick-access booking history and customer data retrieval through Redis caching for improved response times
  • Complex multi-stop or corporate booking routing that requires secondary workflow processing
  • Integration of booking data with existing taxi fleet management databases and customer records

Nodes Used

  • executeWorkflowTrigger: Initiates the workflow and receives incoming booking requests
  • Set: Prepares and formats data for processing throughout the workflow
  • Chat Trigger: Enables conversational interface for customers to submit taxi booking requests
  • Redis: Caches frequently accessed data like driver availability and pricing information
  • PostgreSQL: Stores and retrieves comprehensive booking records, driver details, and customer information
  • If: Evaluates booking conditions to determine if special handling or additional processing is needed
  • Switch: Routes booking requests to different workflow paths based on booking type or complexity
  • executeWorkflow: Triggers secondary workflows for specialized booking scenarios
  • Google Calendar: Schedules and manages taxi assignments in a centralized calendar system
  • Sticky Note: Provides internal documentation and workflow notes for team reference

Prerequisites

  • Active n8n instance with workflow automation capabilities
  • PostgreSQL database with tables for drivers, vehicles, bookings, and customers
  • Redis server configured for caching driver availability and booking data
  • Google Calendar account with API access and appropriate permissions
  • Chat interface configuration for customer-facing booking interactions
  • Secondary workflows prepared for specialized booking scenarios
  • Proper database credentials and API keys configured in n8n

Difficulty Level

Intermediate. This workflow requires foundational knowledge of n8n workflow structure, basic understanding of SQL for database queries, familiarity with REST APIs, and experience integrating multiple services. Users should be comfortable configuring conditional logic, working with data transformation nodes, and managing external service connections. Some customization of database queries and API mappings will be necessary to match specific taxi booking requirements.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

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