AI-based travel optimisation can dramatically increase labour productivity and worker satisfaction by saving unnecessary steps

Many DCs are experimenting with robotic solutions to reduce warehouse labor by eliminating travel. But what if there was a technology that could achieve the same results without adding new automation or robotics?

Lucas Systems has introduced an AI-based tool that reduces travel 30-70 percent in picking operations.More than two dozen DCs are using this technology
today. Many have doubled productivity in piece picking, while others have seen double-digit productivity gains in case picking.

This paper reviews popular approaches to reducing travel in distribution center operations, and describes how AI-based travel optimisation can be used, either alone or alongside other travel reduction strategies and technologies, including robots.

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