Case Study: Trainline reduces fraud and block rates with Ravelin Technology

Protecting profits Trainline’s journey toward secure growth

Trainline, the world’s leading independent rail and coach travel platform, needed to protect rail industry revenue while still letting genuine customers buy tickets and receive refunds smoothly. In 2019, the company moved to a machine-learning-first approach to fraud and chose Ravelin Technology to help improve decisioning as transaction volumes grew across multiple markets.

Ravelin Technology provided a bespoke machine learning model, automation, and link analysis tools to support Trainline’s fraud and refund-abuse efforts. The results included a 75% reduction in block rate in the UK, a 64% reduction in block rate in European markets, manual review rates down by 92%, and active rules reduced by 30%, while fraud rates stayed low and Trainline and its rail partners also saw revenue protection gains, including over £10/$12 million saved for Northern and a 39% reduction for Great Western Railway.

Trainline

Nick Aiken

Director of Fraud and Payments