Case Study: Large Fashion eCommerce Company achieves 60% fewer manual reviews and up to 89% lower chargebacks with Nethone

How we reduced chargeback rates for a world-renowed luxury marketplace

Large Fashion eCommerce Company, a leading global luxury-fashion platform operating in 190+ countries, engaged Nethone to address three global pain points: rapidly growing manual review volumes caused by legacy anti-fraud providers, high chargeback ratios (the client’s KPI was <0.5%), and weak chargeback-risk detection that led to financial losses. They sought a scalable fraud prevention solution to reduce manual workload and lower chargebacks without harming customer experience.

Nethone delivered a custom fraud-prevention solution using its proprietary Profiler (5,000+ data points), device fingerprinting, behavioral biometrics and advanced Machine Learning — including two supervised ML models (one to predict chargeback risk and one to replicate and improve on the previous vendor’s decisions) plus targeted models for sensitive traffic segments. After full integration for US, China, UK and Brazil in under four months, Nethone cut manual reviews by ~60%, reduced overall chargebacks by >12% and lowered chargeback rates for some brands by as much as 89%, while increasing accepted traffic.