Case Study: FlixBus boosts acceptance and reduces disputes with Ravelin Technology

FlixBus boosts acceptance 40.7% with Ravelin Technology

FlixBus, a global travel tech company operating bus and train services, faced the challenge of increasing payment acceptance rates and reducing dispute rates across its complex international markets. Their fraud team, led by Krystyna Savotchenko, needed a bespoke solution to prevent fraud without negatively impacting the customer experience. They partnered with vendor Ravelin Technology to leverage its machine learning and AI-native fraud prevention services.

Ravelin implemented a custom-built solution that utilized advanced machine learning features enriched with Mastercard's global identity data. This provided unparalleled fraud detection accuracy. The results were a significant revenue boost, including a 40.7% uplift in payment acceptance for FlixBus and a substantial reduction in dispute rates, down 14.9% for FlixBus and 19.3% for its subsidiary Greyhound. Ravelin's solution successfully increased approvals and expanded transaction volume while reducing the resources spent on dispute management.

FlixBus