Growing pet supplies brand Bark & Batch hit a processing ceiling: 500 monthly returns against a 12-person team with no dedicated returns manager. "Everyone touched returns at some point, which meant inconsistent data and slow reporting," explained ops lead Rachel Kim.
ReturnSense provided the scalable classification layer Bark & Batch needed. Within 60 days, the system achieved 89% classification accuracy—validated against manual review samples—and integrated with their existing Shopify analytics setup.
The first major insight: 22% of "wrong product" returns involved customers ordering the wrong size based on unclear product guides. Bark & Batch restructured their size charts, reducing these errors by 34% in the following quarter.
"We thought AI classification was overengineered for our size. Turns out, it's exactly what we needed to grow without hiring," Kim said. Return processing time dropped from 4 days average to under 18 hours.