Case Study: a multi-channel retailer improves picking accuracy, productivity, and worker retention with Lucas Systems voice technology

A Lucas Systems Case Study

Preview of the Multi-Channel Retailer Case Study

Apparel retailers optimize DC operations, and improve worker retention with voice technology

A multi-channel retailer specializing in women's apparel was looking to improve picking efficiency and accuracy in its new, highly automated fulfillment center. The voice-add on for their new warehouse management system could not support their advanced process requirements, so they turned to Lucas Systems for a more robust warehouse optimization solution.

Lucas Systems implemented its Jennifer voice-directed AI solution to orchestrate complex workflows, including batch picking, pick-to-tote, and returns processing. This multi-modal solution led to an 8-12% enhancement in picking accuracy and a 15-20% increase in productivity throughout the DC. In a different implementation example, Lucas highlights how another apparel customer doubled their pick rates and significantly reduced employee training time and turnover.


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