A food manufacturing and distribution center relied on manual labor for transloading boxes of varying sizes and weights. Repetitive lifting caused fatigue, safety risks, and stacking inconsistencies, while process delays and fluctuating outbound volumes led to labor shortages and unstable productivity across shifts.

CMES Robotics deployed a 3D vision–based robotic transloading solution that identifies and handles irregular boxes in real time. The system detects box position and orientation and re-stacks them along optimized paths for consistent accuracy. Custom grippers and placement logic integrate seamlessly with existing conveyors, delivering a flexible, scalable automation solution.

Following the adoption of CMES Robotics’s automation, the logistics center achieved a significant increase in transloading throughput and a substantial reduction in loading errors.
By replacing repetitive lifting and stacking tasks with intelligent robotics, worker safety improved dramatically and labor burden decreased, leading to a more stable working environment.

Enhanced process efficiency minimized delays and optimized overall material flow, strengthening both the reliability and productivity of the center’s end-to-end supply chain operations.