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. Watch the on-demand demo →
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
Read more about intelligent batching →
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.
Let’s turn your distribution operation into a competitive advantage, together.