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Case studies

Five warehouses, five different reasons to stop counting by hand.


Ten sites across five countries run Sentispec Inventory in production. The five studies here are what different operations actually bought it for, and each one measured something different.

Each of the five bought the same thing, a camera unit on a forklift they already owned, and used it for something different. Every figure on this page is measured at a live site after go live, and the benchmark states the method behind each one. To put your own audit cost and count frequency against them, the ROI calculator needs no form.

€7,000Per minute of production protected
3,600 to 80Hours for a wall to wall count
99.97%Stock accuracy at a global 3PL
90%Lower annual audit cost, pharma cluster

Six operations

What each one was trying to fix.


The outcomes are above. These are the problems that sent each operation looking in the first place, which is usually the better guide to whether a site resembles yours.

The ten sites

Ten live deployments, and what each one measured.


Every live deployment, not a selection. Accuracy is measured after implementation, and break even is the point at which the site had recovered its cost.

Sites are identified by location and sector at the request of our customers. Named references available on request.
LocationPallet locationsAccuracy after go liveSectorValue realisedBreak even
Duisburg, Germany30,00099.9%Retail and fashion95% lower stocktaking cost, 90% fewer loading errors1 month
Cuxhaven, Germany5,00099%+Manufacturing95% fewer stock errors, production stops eliminated at €7,000 loss per minute1 month
Łódź, Poland15,00099.99%Manufacturing, retail and fashion90% lower stocktaking cost, 90% fewer loading errors3 months
Bremen, Germany35,00099.5%Retail and fashion85% lower stocktaking cost, 90% fewer loading errors3 months
Mechelen, Belgium65,00099.99%+Retail95% fewer put away errors, 90% lower stocktaking cost3 months
Venlo and Roermond, Netherlands85,00099%+Retail and fashion95% lower stocktaking cost4 months
Willebroek, Belgium29,00099.99%Retail and fashionContract renewed, 90% lower stocktaking cost, 9 point accuracy gain5 months
Kolding, Denmark25,00099%+Food80% lower stocktaking cost, 80% fewer loading errors6 months
Horsens, Denmark40,00099%+Retail85% lower stocktaking cost, 90% fewer loading errors6 months
Geel, Belgium7,00099.99%+Pharma85% lower stocktaking cost, alignment with safety regulation6+ months

Break even runs from 1 month to 6 months and beyond, and the spread is mostly explained by how expensive the manual count was to begin with. See the benchmark page for the method behind every column.

Next step

Ask us for the site that looks most like yours.


A 30 minute demo using recordings from a warehouse with your racking, your label format and your count frequency.