Case Study: theCut reduces fraud and false positives with Akkio

theCut reduces false positives by 30% with Akkio

theCut, a service platform for barbers and shops, faced the challenge of accurately detecting fraudulent transactions on its payment processing platform. Their original manual method, which relied on if/then statements, was slow, generated many false positives, and wasted valuable support team resources. To address this, they turned to vendor Akkio to implement a predictive AI solution.

Akkio enabled theCut to build and deploy a machine learning model directly into their platform via an API. The solution ingested transaction data from Snowflake to automatically identify patterns and predict fraud. As a result, theCut slashed false positives by 30%, saved two months of development time, and achieved over 90% accuracy in fraud detection, saving time and boosting revenue.

TheCut