What the warehouse sees
A wave released against live stock, with shorts predicted before pickers walk the aisle.
Modules, and the seams between them
Configured to your building and your dock discipline, not to a generic layout.
Inbound and putaway
Receipt against purchase order or ASN, inspection hold, and directed putaway to a bin that exists.
Picking and packing
Wave, batch and zone picking released against dispatch cut-offs, with pack verification.
Dispatch
Load building, carrier manifests, labels and proof of dispatch back to the order.
Counting and audit
Cycle counting by velocity and value, with variance investigation as routine work.
Included in every WMS scope
Location and bin naming scheme Barcode and label standard Device and network survey Putaway and pick strategies Wave and cut-off configuration Multi-client stock separation Count and variance policy Floor training and go-live support
The seams we design first
What AI does in a warehouse, specifically
It looks at movement history and suggests. A supervisor still releases the work.
Slotting suggestions
Fast movers proposed for closer bins based on real pick history, with the travel saving stated.
Short-pick prediction
Lines likely to short flagged at wave release, while there is still time to source them differently.
Count targeting
Counts aimed at the locations where movement history says the ledger is most likely wrong.
Labour forecast
Expected work by shift from the open order book, so the roster is set on demand rather than habit.
Where a WMS scope usually grows next
Inventory management
Valuation, cycle counts and balances that reconcile to finance.
OMSOrder management
Capture, orchestration and fulfilment routing across sites.
INTEGIntegration layer
Interfaces with retries, logs and a named owner for failures.
ERP implementation checklist
Thirty-one decisions that determine whether a rollout lands, most of which come before anyone configures anything. Readable in full, no email required.
