A high-volume e-commerce fulfillment center manually unloaded mixed inbound boxes of varying sizes and weights, creating worker strain, safety risks, and labor-planning challenges due to fluctuating volumes.

The site deployed CMES Robotics’s 3D vision AI depalletizing system, which identifies box size, weight, and position to autonomously plan optimal unload paths. A 6-axis robot with a hybrid end-effector handles varied boxes without re-teaching, ensuring flexible, precise operation in dynamic environments.

The system processes an average of 600 boxes per hour, accurately handling irregular stacks and integrating seamlessly with existing conveyors. With an average ROI just over one year, it boosts throughput, improves consistency across shifts, and reduces injury risk by minimizing manual lifting.