Case Study: a large retailer increases recovery by $4.5 million with goTRG's R1 omnichannel return solution

How goTRG Increased Recovery By $4.5 Million

A large retailer was manually sorting over 1 million SKUs of returned merchandise at their return center, a process that relied on human judgment and resulted in low recovery rates. Seeking an overhaul of their returns strategy to increase margins, they engaged goTRG for an automated solution.

goTRG implemented its R1 software solution, utilizing its 9040 disposition engine and a vast UPC database to automatically sort each returned item into the most profitable channel. This data-driven approach increased the retailer's net margin recovery by $4.5 million in the first year alone, a 17% increase, while also reducing inventory by 16%.