AI-Powered Dynamic Slotting Drives Warehouse Optimization

Webinar Description

Slotting has a significant impact on all the warehouse key performance indicators – productivity, shipping accuracy, inventory accuracy, warehouse order cycle time, and storage density. Yet, typical warehouses have less than a third of items located in optimal locations.

In this session, we will uncover ways to transform your slotting processes, making them more dynamic by using AI to eliminate the time-consuming engineering and manual modeling required for traditional warehouse slotting systems. We’ll show you a game-changing way to make slotting smart, simple, and real-time so you get the benefits of re-slotting as often as you want.
 

What you will take away:

Participants in this session will learn how dynamic slotting:

• Eliminates the need for manual, extensive engineering and measurement
• Employs AI to create a robust slotting model, using the spatial characteristics of the DC, and it’s product order profile to predict optimal placement of products in order to drive efficiency and savings.
• Utilizes machine learning to adapt to the DC and evolve as conditions change, providing continuous optimization.

Speakers:

Kyle Franklin, Senior Solution Consultant, Lucas Systems

Moderator:

Robert Bowman, Editor-in-Chief, SupplyChainBrain