Automated Fraud Detection for Travel Bookings

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This n8n workflow automates the detection and handling of potentially fraudulent travel booking transactions. It begins with receiving booking data via a webhook, extracts key details, and enriches the data by performing IP geolocation checks. An AI-powered analysis using Google Gemini evaluates the transaction’s risk, which is then combined with rule-based risk factors such as transaction amount, booking time, and payment method.

Based on the overall risk score, the workflow branches into different actions: critical risks trigger user account blocking and immediate alerts; high risks generate review flags and email notifications; and all data is logged into Google Sheets for record-keeping. The workflow concludes by sending a detailed response back to the requester, indicating the transaction’s risk level and recommended actions.

This setup is particularly useful for travel agencies, online booking platforms, or financial institutions seeking to automate fraud detection, reduce false positives, and ensure quick response times to suspicious activities.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, code, gmail, googleSheets, httpRequest, if, respondToWebhook, set, stickyNote, webhook

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