Case Study: Man Matters reduces RTO by 8.5% with GoKwik's ML model

Man Matters Uses GoKwik’s ML Model To Reduce RTO By 8.5%

Man Matters, a men’s grooming and digital health brand in India, faced a major cash-on-delivery challenge: around 70% of its orders were COD, which drove high return-to-origin (RTO) rates and threatened profitability. To address this, Man Matters partnered with GoKwik and used its Smart COD / real-time RTO risk solution to better manage COD risk at checkout.

GoKwik built a custom machine-learning model after analyzing customer and order behavior across 200+ parameters, then integrated its RTO API into Man Matters’ checkout flow to classify orders by risk and disable COD for high-risk customers. This intervention reduced RTO by 8.5% even though only 3% of high-risk COD orders were blocked, and some of those orders converted to prepaid, helping reduce GMV loss and improve delivery rates.

Man Matters