Automate Airlines Customer Support with GPT-4 and Question Classification
Automate Airlines Customer Support with GPT-4 and Question Classification
This n8n workflow automates airline customer support by classifying travel-related questions, fetching relevant information, generating AI answers, and delivering structured responses to users. It ensures accurate travel information delivery, tracks user satisfaction, and logs interactions for future insights — reducing manual support load and improving customer experience.
Key Features
Allows users to ask airline/travel questions directly through chat via webhook integration.
Automatically classifies questions into categories like baggage, refunds, visas, bookings, and travel info.
Fetches verified travel knowledge and generates responses using AI.
Performs satisfaction check and offers human support if needed.
Logs all conversations and system responses for analytics and support auditing.
Workflow Process
The Webhook Entry Point node receives passenger questions from chat/website (e.g., WhatsApp, web chat widget, or API).
The Data Extraction & Cleaning node formats the user query by removing noise and structuring text.
The Question Categorization node uses AI to classify the inquiry (e.g., baggage policy, cancellation rules, destination info).
The Category Parsing node routes the query to the appropriate context source or knowledge logic.
The Knowledge Retrieval node fetches verified travel or airline-specific information.
The AI Response Generator node produces a natural, accurate customer-facing reply using the retrieved context.
The Response Formatting node adds clarity, structured bullet points, links, and travel guidance tips.
The Satisfaction Check node asks if the user is happy with the answer and branches:
If satisfied → continue to logging
If not satisfied → send request to human support channel
The Human Escalation Path node hands unresolved queries to human support teams.
The Interaction Logger node stores conversation data (question, category, AI response, feedback status) in a database.
The Final Delivery node sends the formatted response back to the user chat channel.
Setup Instructions
Import the workflow into n8n and configure the Webhook Entry Point with your chat platform or airline support portal.
Add OpenAI API credentials in the AI Response Generator and Categorization nodes.
Set up your Knowledge Retrieval source (e.g., internal travel database, API, or curated knowledge file).
Connect a database (e.g., PostgreSQL, MySQL, Supabase, MongoDB) to store conversation logs and user behavior.
Configure optional human support integration (Slack, email, CRM, or support desk tool).
Test the workflow by sending sample airline queries (e.g., “Baggage limit to Dubai?” or “How to reschedule my flight?”).
Prerequisites
n8n instance with webhook, AI, and database nodes enabled.
OpenAI API key for AI classification and response generation.
Airline or travel knowledge source (API or internal knowledge base).
Database connection for logging queries and satisfaction responses.
Customer chat channel setup (WhatsApp, website widget, CRM integration, or Telegram bot).
Modification Options
Enhance the Knowledge Retrieval step to pull real-time data from flight APIs, visa APIs, or airline portals.
Add language translation to support global passengers.
Extend Satisfaction Logic to auto-escalate urgent cases (e.g., flight delays, lost baggage complaints).
Build self-service functions like:
Flight status lookup
Refund eligibility checker
Visa requirement assistant
Customize the Response Formatting to include buttons/links (e.g., check baggage rules, contact support).
Explore More AI Travel Workflows: Get in touch with us for custom airline automation!
