Lessons from BlaBlaCar: Harmonizing Customer Experience with Fraud Control

BlaBlaCar will share how they tackled chargeback fraud & false positives while preserving a seamless payment experience using machine learning. Operating in an industry where speed is crucial for the user experience, BlaBlaCar faced the challenge of handling real-time fraud checks, encountering the limitations of rule-based risk optimization, which required substantial manual oversight. Machine learning has enabled them to significantly lighten the operational workload, positively impacting both their authorization rate & fraud rate, as to optimize security without compromising conversion.

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