One order record from capture to delivered
Orders arrive from a storefront, a marketplace, a sales rep and an EDI feed, and each one splits, ships and returns differently. We put them all on one record with one status anyone can read.
Customer service cannot say where an order is without calling the warehouse.
The same order exists in three systems with three statuses.
Split shipments break the invoice.
Returns are processed as a favour, then reconciled never.
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.
Bring us an order that went wrong.
We will follow it through every system it touched and show you where the record broke.