Industry
We build software for one industry: grocery chains. Products, guides and KPIs are set up in the language of that business.
In a grocery chain the constraint that decides profitability is shelf life, followed by thin net margins, a wide product range and a daily promotion cycle. Loss does not pile up in one line: it builds drop by drop in the batch past its expiry date, in the shrinkage record, in the count variance and on the shelf whose price was never updated. That is why Mindpera's data model is built for grocery from the start: department and branch enter the grain, shrinkage is kept apart from count variance with a reason code, expiry is tracked by batch, and when a threshold is crossed the alert goes to the branch concerned.
The reason for narrowing the focus is simple: rather than adapting the same formula to six industries, we solve the sticking points of one industry in depth. Mindpera is used every day in 8 grocery branches today, and the product is shaped by feedback from the teams in those branches.
Grocery Chains
Shrinkage, shelf and margin in grocery chains, regional chains, delis and gourmet stores
In a grocery chain, loss does not build up in one place; it forms drop by drop in products that pass their expiry date, in waste records, in count variances and on shelves whose price was never updated. In a business with a thin net margin, those drops are the result itself.
Taken one at a time, each line is small; the problem is how often it is measured. A full count done once a year shows the error twelve months later, when the cause can no longer be found. In its 2025 integrated annual report, Migros named a 30 basis point improvement in its loss rate as the main driver of its gross profit gain: loss that is measured and managed weekly turns directly into margin. The same logic holds in a regional chain, at the deli counter and on the gourmet shelf; only the line where the loss builds up changes.
See it with the numbers of your own branches.
The first call takes about 30 minutes and is spent understanding what your current systems actually produce.