Unbox Robotics CEO: AI plus robots fix returns

Ghadge's argument starts from a structural mismatch. Ecommerce spent a decade optimising the forward path from warehouse to doorstep, but warehouses were never built to handle the volume coming back. Reverse logistics is effectively a second supply chain running the opposite way, and the survey data he cites — 79 percent calling circularity crucial against 20 percent judging their supply chains fit for purpose — is his evidence that the gap is wide and acknowledged.

His proposed fix is not one technology but two working in tandem. AI and computer vision assess a returned item and recommend a next step within seconds; mobile robots then move it to the right sorting, grading or restocking location. Ghadge notes many such systems now use decentralised coordination among robots, which lets a fleet adapt in real time as volumes spike instead of stalling at the first bottleneck. He also points to vertical robotic systems that use warehouse height rather than floor space, letting retailers add returns capacity in peak seasons without expanding their footprint — a constraint he treats as pressing wherever space is costly to add.

The stakes hinge on whether this combination moves from pilot to standard practice. Ghadge cites Gartner projecting that by 2030 half of new warehouses in developed markets will be designed with robotic fleets as the operational backbone, and describes the resulting workplace as human-optional, with people reserved for exceptions. Whether retailers treat that as a resilience play or a cost exercise is likely to determine how quickly returns teams are hired and trained differently — a shift Ghadge frames as mattering as much as any efficiency gain.