Owens and Minor Turns to Lucas to Support Growth

Owens & Minor has consistently focused on improving operations in its DCs through a combination of process improvement and technology investments. Those efforts had plateaued, and the company was facing rising costs due to increasing volumes of orders for less than case quantities. The challenge was to improve productivity and reduce the costs for picking low unit of measure (LUM) items, and to increase picking accuracy compared to their existing RF-based process which required scanning every pick line.
O&M

About Owens and Minor

Owens and Minor is a leading distributor of branded medical, surgical and disposable products. Predominately distributing to acute care or hospital facilities throughout the United States, they also serve surgery centers and primary and extended care markets.
"After we rolled out the plan and implemented it, we were extremely suprised in how easy it was to implement. We were very happy with how easy it was to train people on the system and how easy it was to use."
Ralph Loresa
General Manager

The Lucas Solution

• The Lucas solution includes unique AI-based optimization that is embodied in Jennifer™, the brains, voice and orchestration engine of the solution.
• The Lucas system uses order, inventory and task information from their legacy WMS, and Jennifer™ prioritizes the orders and organizes work assignments based on rules configured for O&M’s needs.
Voice-directed picking across product areas, including case pick to pallet and cart picking for LUM items.
The management console helps managers manage work, audits and exceptions, and provides real-time productivity reporting.
• The Lucas mobile application runs on industry standards mobile devices.
Warehouse Optimization
Lucas management console

The Results

• Each new user received 2-3 hours of training and the vast majority were picking productively on their first day.
• Overall DC productivity across all activities (including receiving, replenishment and other tasks that were unchanged) increased greater than 10 percent.
Improved worker satisfaction compared to the previous RF-based process.

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