A beauty and cosmetics fulfillment center relied on manual void-fill insertion to protect shipments. Variable box contents made automation difficult, requiring workers to visually assess each box and add cushioning by hand, resulting in inconsistent output, labor dependency, and slower throughput.

CMES Robotics implemented an AI Vision–powered Void Fill Automation Solution that analyzes the interior volume of each outbound box in real time.
Using AI algorithms, the system calculates the exact position and volume of void space and automatically dispenses the required amount of cushioning material.

A dedicated measurement and dispensing system ensures precise void-fill usage, while seamless integration with the customer’s existing packaging line enables continuous, interruption-free outbound automation.

CMES Robotics’s Void Fill solution reduced cushioning material usage up to 30% and increased packing throughput by over 25%. Integration with existing automation eliminated manual inconsistencies, delivering a more efficient, standardized, and high-quality packing process.