Seasonal Returns Forecasting

A major apparel and accessories retailer partnered with a reverse logistics technology provider to deploy an AI-enabled returns management system, as documented in a 2025 Deloitte analysis. The retailer implemented an online returns portal integrated with a mobile application that allows customers to initiate returns and generate QR codes for label-free, box-free drop-offs at retail locations. Store associates use the system to route returned items in real time, either placing merchandise back in stock, routing it to the nearest distribution center, or recycling damaged goods. The retailer reported reductions in both labor costs and transportation expenses through more efficient associate workflows and consolidated reverse shipments.

In the fraud detection domain, Happy Returns began piloting its Return Vision AI fraud auditing system in Nov. 2025 with fashion retailers including a direct-to-consumer apparel brand, a fashion marketplace, and a sportswear manufacturer. The system operates across nearly 8,000 return locations and uses computer vision to verify that returned items match the original purchase. According to Happy Returns pilot data, more than 99% of items returned through the network are verified as genuine, with fewer than 1% flagged for review. For those flagged returns, the system averaged $218 per return in prevented loss. The direct-to-consumer apparel brand's director of logistics and fulfillment noted that more than 85% of the brand's returns now occur in person through the return bar network, providing a level of verification confidence not possible with mail-in returns.