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.

Until now warehouse managers have been constrained from optimizing slotting configurations with the massive data generated by thousands of dynamic SKUs.

Now you can increase throughput 20–40% by continuously configuring warehouses for the best inventory locations, based on SKU velocity, SKU affinity, product/slot information, pick paths and other data.

Warehouses that fail to adapt risk losing their competitive advantage. This report tells you how to make the simple changes that will boost your bottom line.