What the order desk sees
One order record, one status, and routing rules written from your own exceptions.
Modules, and the seams between them
Orchestration rules are written from your own exceptions, not from a template.
Order capture
Storefront, marketplace, EDI and manual entry landing on one schema with one validation set.
Orchestration
Sourcing, splitting, holds and release rules, with every decision recorded and reversible.
Fulfilment routing
Which warehouse, store or third party ships each line, by cost, stock and promise date.
Returns and exchanges
Authorisation, receipt, inspection and credit, on the same record as the original order.
Included in every OMS scope
Channel and order type map Sourcing and split rules Promise date logic Hold and fraud rules Status model and customer wording Returns policy configuration Exception queue design Service desk training
The seams we design first
What AI does in order management, specifically
It clears the queue of things a human would decide the same way every time.
Exception triage
Blocked and failed orders grouped by cause and ranked by what it costs to leave them sitting.
Promise date confidence
A date offered with the history behind it, so the ones likely to slip are visible before the customer is told.
Address and duplicate cleanup
Malformed addresses and duplicate orders caught at capture rather than at the dock.
Return reason clustering
Free-text return reasons grouped into causes a merchandiser or a plant can act on.
Where an OMS scope usually grows next
Warehouse management
Receiving through dispatch on one stock ledger.
IMSInventory management
Valuation, cycle counts and balances that reconcile to finance.
ECOMEcommerce
Storefront and checkout reading the warehouse stock position.
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.
