Case Study: Fareportal boosts revenue and reduces fraud with Fraud.net

How a Leading Travel Company Achieved 30% Fraud Reduction with FraudNet's AI-Powered Solution

Fareportal, a fast-growing online travel agency serving customers in nearly 200 countries, needed a better way to manage fraud as its existing system limited global expansion, struggled with increasingly sophisticated attacks, and created too much manual review work. With valuable third-party data trapped in silos, Fareportal turned to Fraud.net’s AI-driven enterprise fraud prevention platform to gain a more unified view of customer risk.

Fraud.net implemented real-time transaction monitoring, automated alert management, intelligent risk scoring, and custom machine-learning models to help Fareportal detect fraud more accurately while keeping good customers moving. Within 90 days, the company reported a 30% reduction in overall fraud, $100 million in additional revenue from new targeted regions, and a 90% decrease in insider threats, while also simplifying reviews and reducing manual workload.

Fareportal