
An empty shelf never shows up in the sales report. The day closes with normal revenue and the loss stays invisible. Measure how large it is in your own operation in under a minute.
Calculate my chain's lossYour chain's data
Where your operation stands today and where you want it to get to.
If you do not have the exact figure, use your chain's average.
If your chain does not measure stockouts, leave it at the industry average: 10.8% in July 2026, according to Neogrid and ABRAS, the Brazilian supermarket association. High-turnover categories go beyond 15%.
This is your target, and it is here to size the potential gain. Actual results depend on your operation.
Scenario limit: the calculation does not go below a 4% out-of-stock rate. Not even the best-performing categories in the national index come close to that. Coffee, the best in July 2026, came in at 7.4%.
Calculation assumption
This field is neither your chain's data nor your target. It is the model's only parameter, taken from industry research. It is shown here in the open, and you can adjust it.
Industry parameterWhen an item is missing, some shoppers switch brands and the store keeps the sale. The rest buy somewhere else. The study by ECR Brasil with ABRAS and ACNielsen found 37% going to another store and 53% switching brands.
We carry the values you simulated over with your request. No need to type them again.
The assumption is exposed on purpose. Any estimate of stockout loss depends on approximation, and it is better to debate the assumption than to debate a number nobody can trace.
The whole topic, from the concept to prevention, is in out-of-stocks: what they are, the types, how to calculate and how to prevent them.
From the sales and inventory history already in your ERP, we return the actual stockout rate by category and by store, the lost sales in monetary terms, and the 50 SKUs that cost you the most. No installation and no process change. What we ask for is a data extract and two hours of your time.
After the diagnostic, the next step is preventing stockouts from happening. That is the job of INTEGRA, the autonomous replenishment platform powered by artificial intelligence from Integrity-UX, which works on the data the chain already has to predict stockout risk and trigger replenishment ahead of time.

IT consulting specializing in infrastructure, data and artificial intelligence.
Microsoft Partner | Since 2010
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We serve clients throughout Brazil