Stock the system was sure of, and the shelf was not
HEMA wanted stock accuracy to be improved. Inventory data did not match what was on the shop floor, so products were out of stock while the system said otherwise.
Store teams absorbed the difference. Counting, checking, looking for items that were recorded but not there. Time that does not go into serving customers.
The same data feeds the omnichannel promise. Click and collect, store pick, online availability: all of it rests on knowing what a store really holds.
And beyond availability, HEMA wanted the numbers to steer store layouts, assortments and replenishment.
One integration service between the tags and the systems
We built a serverless RFID Integration Service on AWS that connects Nedap’s RFID platform to HEMA’s own systems. RFID does the counting in the store. The service turns those counts into stock HEMA can act on.
Track the product, not the paperwork
RFID gives real-time product tracking in the store. The first job was making that signal usable next to the store systems already in place.
Build the service serverless
A serverless integration service on AWS, split into microservices. It scales with the rollout instead of being sized for it up front.
Make the gap visible
Expected stock and counted stock rarely agree. The service keeps discrepancy lists, so store teams work from the difference instead of recounting everything.
Roll out store by store
Product information stays synchronised across internal systems as stores come online. 320 of them now run on it.
Three places stock accuracy changes the day
On the shop floor
Discrepancy lists tell a store team which items to look for. Replenishment starts from a number somebody trusts.
Across the channels
Near real-time visibility across all connected stores, so online and in-store availability describe the same stock.
In the planning
Layouts, assortments and replenishment strategies get reviewed against what stores actually held, per store.
The service, and the plumbing around it
Four parts, all of them running in production across the connected stores.
RFID Integration Service
Serverless on AWS, integrated with Nedap’s RFID platform, built as microservices.
Inventory processing
Store counts turned into stock levels, with near real-time visibility across all connected stores.
Discrepancy management
Lists of expected against actual stock, for the store teams that resolve them.
Product data synchronisation
Product information kept aligned across HEMA’s internal systems.
Retail integration engineers who know the shop floor
We work inside HEMA’s integration layer across order, fulfilment and store operations. RFID is one more flow in a landscape we already run.
Serverless integration engineering
Microservices on AWS, built to add stores without redesigning or scaling the service each time.
Vendor platform integration
Nedap’s RFID platform on one side, HEMA’s systems on the other, and a clear contract in between.
More of our work
All cases →
Stock data your stores do not believe?
Tell us where your inventory numbers come from and where they break. We will tell you what it takes to make them match the shelf.