A Productivity Breakthrough for Retail Distribution

Eliminate travel and increase throughput without expensive automation

While many distribution centers are investigating robotics to reduce labor by eliminating travel, Lucas has introduced an AI-based tool that achieves the same results at a fraction of the cost. Customers have reduced picking travel 30-70 percent without restructuring their distribution infrastructure or changing their warehouse or labor management systems.

  • 122% in lines per hours
  • 99.99% same-day shipping
  • 50% reduction in labor hours
  • 33% increase in throughput
  • Simplified work release and management


Learn why retail leaders choose Lucas

Fill out the form below to schedule a demo with one of our industry experts to see how Lucas has made work easier and faster for companies just like yours.

Trusted by Distribution Leaders

Customer Logos

Read our customer stories

How Does Travel Optimization Work?

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. 

Maximize pick density with dynamic prioritization

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.

Skyrocket productivity with intelligent batch picking

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

Cut travel in half with pick path optimization

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.

Optimize robots and humans simultaneously

While Jennifer™ orchestrates and optimizes within picking zones, a DC can add robots for conveyance between pick zones or other staging locations. Autonomous Mobile Robot1This 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 →

Minimize turnaround times with waveless order release

As an added bonus for DCs processing higher volumes of ecommerce orders, the tool supports continuous order streaming or so-called waveless order release.

Get Started With These Helpful Resources

Check out our knowledge center

We helped Apex Tool Group, a leading manufacturer of hand and power tools, operate with 10% fewer man hours.“You rarely implement a new system and have users tell you ‘It’s made my life so much easier!’ Making the processes better for associates makes them more productive. And that’s better for the business.”

-Chris Rufa, Senior Director of Global Distribution

Download Case Study

Pet Supermarket
We helped Pet Supermarket, a leading pet supply retailer, increase throughput by 33%.“This was the smoothest implementation of any technology I have been involved with in my 28 years.”

-Mac Whetsel, VP of Operations

Download Case Study

Ready to eliminate travel and increase throughput without expensive automation?

Schedule a demo