Intelligent warehousing and picking management

What would a leap from traditional spare part shelves to an automated, self-controlled and self-learning warehouse management sound like? When real-time information is always available, you can face the challenges of tomorrow already today.

How does intelligent dynamic warehousing work?

LeanwareWMS has a process-controlling, intelligent warehouse system instead of traditional bookkeeping. Instead of stock location balances, WMS uses inventory unit balances that form the basis for dynamic warehousing. The products of a purchase or manufacturing batch are received into individualized inventory units (e.g., pallet or box).

In dynamic warehousing, the product doesn’t have a fixed active or reserve location, instead the optimum location for the product in the warehouse is calculated during shelving or filling. This way, the products are always in the right place and empty space is used efficiently.

Being dynamic is an important part of space and total efficiency, in addition to inventory accuracy. Dynamic warehousing also guarantees 100% traceability as well as FIFO and FEFO.

LeanwareWMS has added intelligence to dynamic warehousing in the form of machine learning, which independently optimizes and maintains the right XYZ product placement in the warehouse and this way decreases the picking distances of the pickers significantly.

Intelligent warehousing and picking management features

Dynamic warehousing

Self-maintaining XYZ product placement

Automatically controlled and prioritized picking work queues

AI-based picking list creation

Intelligent picking management makes work easier in every phase

LeanwareWMS automatically combines orders and schedules the picking work queue. WMS also automatically manages the necessary fillings. WMS tells the picker exactly what to pick i.e. the picking list. WMS tells the picker the picking order for the shortest route. WMS guides the picker during every phase of the picking. This ensures that the picker can fully concentrate on the physical work of picking.

Additionally, the AI algorithm of WMS picking can combine orders that are picked close to one another on the same picking list, thus minimizing picking distances. This way the picker receives picking lists in which all of the orders are picked in the same small area. In orders with few rows, this results in up to 60% shorter picking distances when compared to picking that does not utilize AI optimization.

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Petri Karjalainen