Lucas Systems’ AI-Powered Dynamic Slotting Simplifies Warehouse Reslotting

Lucas Systems announced its next generation of Dynamic Slotting, which uses artificial intelligence (AI) to provide in-the-moment reslotting decisions.

"This is a game changer for how the industry operates. Traditional slotting is fraught with challenges," says Lucas Systems CTO Scott Mullins. "Dynamic Slotting gives on-floor managers and supervisors the power to optimally reslot on the fly." 

Key takeaways:

•  With a few button pushes on an easy-to-use interface, Lucas Systems software will intelligently sift through an abundance of warehouse data to serve up optimal slotting recommendations.
• Dynamic Slotting's recommendations identify product moves that offer the biggest potential payback. Hundreds of parameters are taken into account, including demand seasonality, item size, SKU velocity and costs. Its similarity detection prevents placing related items side by side to reduce picking errors.
• Dynamic Slotting gives warehouse operators the ability to reslot every day, keeping warehouse slotting in optimal shape.
• Dynamic Slotting applies machine learning algorithms to recommend which products should be moved. It also learns the spatial characteristics of a warehouse and predicts task time based on activity-level data. The model then continues to “learn,“ providing continuous optimization as conditions change.

"It's the type of slotting that every supervisor or manager can use," says Mullins. "This ease-of-use means reslotting can be done more often by those on the floor, which is key to overall optimization."