Lucas uses order, inventory, and location information from WMS and other systems and Jennifer™ – the brain, voice and orchestration engine of the Lucas system – applies real-time optimization algorithms to create optimal work assignments. Jennifer™ then uses a virtual model of your facility to define an optimal pick sequence or travel path.
Jennifer™ prioritizes all available work assignments based on rules that you can configure and adjust throughout the day or week. Rules can be based on ship dates, routes, carriers, order types and more.
Rather than following a simple first-in-first-out batching method, Jennifer™ uses mathematical models to create optimized batches of pick lines and assigns them to pickers on-demand, as they request work. In contrast to typical WMS batching rules, the Lucas models weigh a variety of factors, including: 1) Order priority 2) Product locations 3) Product dimensions 4) Starting and ending points 5) Potential travel path 6) User permissions
After batches are created, Lucas applies multiple algorithms to determine an optimized path for the user to take through the warehouse to complete their work. The algorithms consider aisle directions (one-way aisles, for example), base item designations, and other factors to determine the most efficient pick path.
While Jennifer™ orchestrates and optimizes within picking zones, a DC can add robots for conveyance between pick zones or other staging locations. This can further reduce worker travel to and from fixed drop off or induction points. Likewise, Jennifer™ can be used to optimize the travel of robots for full pallet moves, both in inbound and outbound operations. Learn more →
As an added bonus for DCs processing higher volumes of ecommerce orders, the tool supports continuous order streaming or so-called waveless order release.