From stockroom scan to shop-floor decision
Everything from the stockroom scan to the shop-floor heat map, on one platform.
The last mile of wholesale was a black hole
Once products shipped to the store, the brand lost sight of them completely - what arrived in the stockroom, what made it onto the floor, what was selling, what was ageing on the shelf. Decisions for one of its most prestigious accounts ran on guesswork and quarterly reports that landed weeks too late.
Launch dates that lied. A product "launched" on the 1st might not touch a rail until the 8th. Week-one sell-through was understated by design, and the buying and allocation decisions built on it inherited the error.
A host store's intake, not the brand's. Deliveries moved through the department store's own receiving process - complex, shared with every other brand in the building, and invisible from HQ. Chasing a delivery meant phone calls.
Mis-deliveries surfaced weeks late. Stock that arrived by mistake, or carried a barcode the brand's master inventory did not recognise, was only discovered at the next manual count - long after anything could be done about it.
Sell-through rate is the number a wholesale brand runs on - it drives buying, allocation and markdown decisions. Diluted dates dilute all three.
From the moment stock left the warehouse to the moment it sold, the brand had no view of it at all - not arrival, not the floor, not what was ageing.
From one manual count to the next, the stockroom was invisible: no ageing picture, no mis-delivery alerts, no floor-coverage view.
One platform, three systems, every timestamp that matters
Six screens from the platform, each shown as it runs on the device you are reading this on. The first four are the stock intelligence system; the last two are the visual merchandising layer that grew on top of it once the data existed.
The calls we made
The department store's intake process was never going to change for one brand. We built around it: a courier feed for arrival, scanners at the stockroom door and the floor door, and let the store keep working exactly as it always had.
Capture had to survive retail reality - seasonal staff, rush deliveries, no training window. Batch scanning into one window, one submit, and the platform does the thinking.
A scanner that rejects a barcode blocks a delivery. We accepted everything, synced every scan against the brand's master inventory, and turned the unknowns into same-day discrepancy alerts at HQ - mis-deliveries became information instead of surprises.
Sell-through only means something if day one is the day customers could buy. Every metric in the platform runs from the floor scan, integrated with the sales tool so the sale closes the loop automatically.
Built by a senior team end to end and handed over with the client owning the platform outright.
Sell-through the brand could finally trust
Every product timestamped from the loading bay to the sale. Mis-deliveries flagged the day they happen. And a floor that gets measured, redrawn and tested like the asset it is.
Every product now tracked from warehouse dispatch through stockroom arrival, floor placement and point of sale. For the first time the brand had genuine sell-through intelligence at store level.
Buying and allocation decisions now run on dates that are true.
Handled to the standard the work demands
The brand's master product inventory synced into the platform; store-side data captured and segregated to the concession. Nothing crosses the host store's systems that should not.
Capture built for the stockroom as it is - batch scanning, graceful handling of unknowns, and interfaces seasonal staff use without training.
Built senior-only and handed over with the client owning the platform outright. Client names available under NDA.
