Refurbishment Grading & Routing

Microland has integrated AI-driven grading into its returns and IT asset disposition operations, enabling efficient processing of large device volumes. Teams can more quickly determine whether items should be refurbished, resold, or recycled.

Optoro, a reverse logistics technology provider, reports processing more than 100 million returns using automated grading. In one case, an online marketplace for home remodeling used automated routing to resell more than 91% of its returns, boosting net recovery by 150% and cutting exception rates by more than half.

Urban Threads, a fashion retailer, deployed AI scanning to detect fabric flaws. This reduced processing time from 14 days to four days and lowered refund complaints by 30%.

In smartphones, machine vision has become central to profitable refurbishment. By detecting every cosmetic and functional issue, AI enables accurate grading, stronger resale values, and higher customer satisfaction. McKinsey research shows that remanufacturing industrial products delivers 40% to 65% more economic benefit compared to producing new ones, underscoring the fiscal impact of improved grading accuracy.