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Store, web, app and marketplace all quote the same figure, and it was accurate when the overnight job finished. We connect POS, OMS and warehouse systems into one availability model, so the order you accept is one you can fulfil.
Four systems · one promise
Where it breaks
They order online and the store has nothing to pick. They collect in store and the web still shows it available. Every seam in the estate eventually reaches someone holding a receipt.
Web, app and marketplace all read a figure produced hours ago. Two of them sell the same unit, and the difference is settled later by a cancellation email nobody wanted to send.
We put one availability model behind every channel and reserve the unit at the moment an order is accepted.
Click and collect arrives as a printout or a queue in a system nobody watches during trade. Staff learn about the order when the customer is already standing at the counter.
We push orders into the store systems staff already use, with the pick, the location and the deadline attached.
An estate that copes in March meets November. The batch window disappears, queues build behind the slowest connector, and the failure lands on the four days that carry the year.
We build event-driven flows that degrade in a defined way under load, tested against your peak profile rather than an average one.
How it works
We normalise stock movements, reserve units as orders are accepted, route fulfilment to the best location and feed every channel from the same source.
Scroll the diagram sideways →
GS1 identifiers so a product means the same thing in every channel, EDI for vendors that trade that way, and marketplace connectors against the same model rather than one integration each.
A store runtime keeps the till trading and the picks queuing when connectivity drops, then reconciles on return.
Oversell rate, reservation age, channel feed lag and connector failures all land on one dashboard, so nobody has to survive the peak week blind.
Products
MetricMonitor and Easy-Invois read the same product, order and stock model, so what was promised, what shipped and what was invoiced all agree.
Oversell rate, cross-channel fill rate, order throughput, connector health and feed lag on one screen, with alerts sized for your busiest trading days.
Explore MetricMonitor →Vendor, marketplace and wholesale invoicing with multi-country tax rules, rebate settlement and reconciliation against what was sold and shipped.
Explore Easy-Invois →How we work
Accepting the order and holding the unit are the same step. No job catches up afterwards. Two channels cannot commit the same unit, because the second one finds it already taken.
It is included in every engagement. A new channel or connector runs beside the existing one until the numbers agree.
The till sells and the picks queue locally, then reconcile when connectivity returns. A network problem should cost you a delay, never a sale.
Load profiles come from your own worst week. Anything that degrades under pressure does so in a way you chose beforehand.
Recent work
Anonymised at the client's request
A retailer ran POS in stores, a separate e-commerce platform and two marketplace connectors, synchronised overnight. Overselling was treated as a cost of doing business, and peak season was planned around avoiding it rather than fixing it.
We put one availability model behind every channel, moved the reservation into the moment the order is accepted, and pushed store picks into the systems staff already had open. The POS and e-commerce platforms were not replaced.
Talk to us about your estate →Questions
Every source maps into one canonical availability model rather than into each other, and every channel reads from it. Adding a marketplace becomes a connector against a model that already exists, instead of another synchronisation problem between two platforms.
Get started
Tell us which channels you sell through and where the stock number comes from. An integration architect reviews it and comes back within two working days.
