Case Study: Capacity achieves reliable order fulfillment with Covariant AI Robotics

Capacity warehouse thrives during demand challenges despite labor shortage

Capacity, a third-party logistics firm specializing in health and beauty products, faced challenges with warehouse efficiency due to unpredictable demand spikes and limited staff. Their previous attempt to automate order sortation with a robotic putwall had failed to meet its benchmarks. The company was skeptical but turned to Covariant for an AI-powered robotics solution to improve throughput.

Covariant implemented its Robotic Putwall solution, powered by the AI Covariant Brain, which was easily integrated into Capacity’s existing workflow. The system demonstrated the ability to handle new, complex items with high accuracy. As a result, the station achieved a rate of up to 515 picks per hour with minimal human intervention. This success led Capacity to expand its fleet to five Covariant robots, providing reliable, scalable fulfillment that could instantly handle demand spikes and peak seasons, giving them a significant competitive edge.

Capacity

Ed Shapiro

Director of Engineering