Booking Fraud Detection
Advanced risk assessment that evaluates payment methods, booking patterns, and account behavior to prevent travel reservation fraud.
This template can be edited in GoRules BRMS
Solution
This fraud detection safeguards airlines and travel agencies by analyzing multiple risk factors in booking transactions. It evaluates payment methods with specialized risk scoring for prepaid cards, gift cards, and cryptocurrency transactions. The system flags suspicious booking patterns by monitoring transaction frequency and detecting geographic mismatches between account country and IP location.
For additional protection, it analyzes account history including account age and previous chargebacks. When suspicious activity is detected, the system automatically assigns risk levels (low, medium, high) based on cumulative risk scores from all factors. High-risk bookings trigger mandatory verification requirements and can be routed for manual review, while low-risk transactions proceed normally. This multi-layered approach prevents financial losses while maintaining a smooth booking experience for legitimate customers.
How it works
The decision graph processes booking data through multiple evaluation nodes:
- Payment Risk Analysis: Evaluates transaction risk based on payment method and amount, assigning higher scores to prepaid cards with large amounts.
- Pattern Detection: Identifies suspicious behavior patterns such as multiple rapid bookings or transactions from countries different than the account's registered location.
- Account History Verification: Assesses risk based on account age and previous chargeback history, with new accounts receiving higher risk scores.
- Risk Aggregation: Calculates a total risk score by combining individual risk factors and collects all risk reasons for review.
- Risk Level Classification: Categorizes transactions as low, medium, or high risk based on the total risk score.
- Action Flags: Sets verification requirements and manual review flags based on the assigned risk level.
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