Booking Fraud Detection
Advanced risk assessment that evaluates payment methods, booking patterns, and account behavior to prevent travel reservation fraud.
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.
Flight Dispatch Decision System
Rules-based aviation system that evaluates weather, aircraft, crew, and weight factors to ensure regulatory compliance and safe flight operations.
Dynamic Airline Ticket Pricing Engine
Automated fare optimization system that sets ticket prices based on time to departure, seat availability, market demand, and competitor pricing.
Booking Personalization System
Dynamic flight booking platform that tailors UI, discounts, and features based on customer loyalty status, device type, booking history, and traffic source.
Flight Ancillary Recommendations
Data-driven system that personalizes travel add-on recommendations based on customer profile, route details, and previous purchasing behavior.
Airline Seat Map Display Rules
Dynamic seat map system that personalizes seat availability based on loyalty tier, fare class, group size and cabin occupancy levels.
Online Check-in Eligibility System
Automated passenger validation system that determines online check-in eligibility based on travel documents, flight timing, and special assistance requirements.
Flight Rebooking Fee Calculator
Dynamic fee system for airline booking modifications that adjusts charges based on fare class, time to departure, loyalty status, and change history.
Airline Upgrade Eligibility
Advanced passenger upgrade decision engine that evaluates loyalty status, fare class, corporate agreements, and cabin availability to prioritize upgrades.
Airline Loyalty Points Calculator
Advanced system for calculating airline loyalty program points based on fare class, route type, distance, member status, and seasonal promotions.