ThreadCraft, a Shopify-native apparel brand doing $800K annually, faced a familiar problem: their 3-person ops team spent every Monday drowning in return forms. "We knew 'wrong size' and 'defective' were our top issues, but the details got lost in spreadsheets," explained co-founder Maya Chen.
After implementing ReturnSense, return reason classification became automatic. The AI parsed order data, customer notes, and product metadata to categorize returns with 94% accuracy. Within 30 days, the team identified that 28% of their "wrong size" returns actually involved fit inconsistency across batches—a supplier issue they'd never caught before.
"We contacted our manufacturer and negotiated a quality clause. That alone saved more than the annual ReturnSense cost," Chen said. Return rate stabilization followed over the next quarter, with overall return processing costs dropping 40% as the team reallocated those 15 weekly hours to growth initiatives.