Warehouse operations face unprecedented challenges, including rising labor costs, low unemployment, fluctuating demand, and increasing customer expectations across B2B and B2C channels. The self-optimizing warehouse — driven by advanced warehouse execution systems (WES) powered by artificial intelligence and machine learning — represents a revolution in fulfillment efficiency.
In this Back to the Future Report learn how new systems powered by machine learning (ML) can provide daily warehouse storage slotting change recommendations that can be executed on a daily basis.
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.
This session will highlight the unique benefits of utilizing optimization software to improve efficiency and attract and retain the next generation of warehouse workers.
Warehouse work has been transforming at an amazing rate over the past several years and operators are constantly looking for new, innovative ways to deliver immediate, impactful improvements in productivity and accuracy.