Dynamic Work Optimization is an advanced module within Lucas Engage that dynamically manages priority, maximizes pick density, and optimizes travel paths in picking and other travel-intensive warehouse processes.
DWO uses AI and advanced mathematical models to reduce travel, increase pick density, and optimize the use of labor and other DC resources. For travel-intensive activities like putaway, replenishment and picking, the tool calculates the shortest path and optimal work sequence, significantly reducing travel compared to organizing work based simply on warehouse sequence. For batch picking processes, the tool applies advanced algorithms developed by Lucas to create optimized batch assignments that maximize pick density and minimize travel. Working together, the batch and travel path optimizations can reduce average travel time by 50 percent or more.