Every location achieved at least 97% absolute accuracy against an independent count of the same periods. This is the minimum across all 35 stores, not the average, based on 13,076 visitors and 1,099 verified trading hours.

On a November weekday in Central Europe, visitors move through a fashion store entrance in winter coats and carrying shopping bags. One camera carries both the entrance and exit count. Across the region, 34 more stores depend on the same kind of measurement.

Between November 2024 and April 2026, all 35 stores went through the same check.

The stores

One doorway carries the whole store’s number

A fashion chain makes decisions by store and by hour. How many colleagues does the Saturday floor need? Does a new window display bring people through the door, or only up to it? Which locations earn investment when the next like-for-like review comes?

Every one of those decisions divides sales by visits. At most of these locations, the visits side of that calculation rests on a single entrance and exit pair. Where the count rests on one pair, there is no second measurement point to dilute an error. The pair is right, or the store’s denominator is wrong.

A fashion store entrance is also a difficult place to count. The doorway is narrow, so groups arrive abreast. Window shoppers hover at the threshold without entering. For five months of the year, heavy outerwear changes every silhouette that crosses.

A count that drifts at one doorway misrepresents the whole store. Accuracy is not something a model simply has. It is something a deployment produces. That is why Indivd verifies counting accuracy after installation, periodically thereafter, and following significant changes to camera placement or configuration.

The check

One standard, applied thirty-five times

The chain decided where, when, and how much was tested at each store. Some locations were assessed during winter weeks, while others were assessed during spring and summer periods. The checks covered single days or multi-day windows, depending on each store’s calendar.

Across the programme, 13,076 visitors were included in the comparison over 1,099 verified trading hours. Indivd’s count was compared with an independent count covering the same periods.

The check covered 80 counting lines on 38 cameras. At each location, the complete tested set was assessed together.

The measure is strict. It counts every miss and every overcount in full, with no netting between them. On that measure, the minimum across the 35 locations was 97.00 percent absolute accuracy.

The result is published as a floor, not an average, because the minimum is the only figure that applies to every store at once.

Why does the way accuracy is calculated matter? See our guide to testing any people counting accuracy claim.

What the number carries

One verified basis for comparing 35 stores

Verified between November 2024 and April 2026: at least 97.00 percent absolute accuracy at every one of 35 fashion stores in Central Europe.

This is the minimum across the set, not an average. The programme covered 13,076 visitors, 1,099 verified trading hours, and 80 counting lines on 38 cameras.

What the chain gains is a like-for-like comparison that means something. Hourly conversion at one store can sit against hourly conversion at another because both denominators were tested in the same way, using the same measure.

The Saturday rota, a window change read through its effect on entry rate, and the investment case for one location over another all depend on a count checked against an independent reference during that store’s selected trading periods.

Without a consistent standard, errors can compound quietly. One overcounting pair can make a healthy store appear to have a conversion problem. One undercounting pair can lead to Saturday staffing based on fewer visitors than actually arrived. A chain comparing stores with unequal denominators risks applying the wrong lessons across its estate.

In a separate customer-commissioned review executed by KPMG using Indivd's quality-assurance methodology, approximately 99% absolute counting accuracy was recorded. Read how that result differs in scope from Indivd's wider deployment claims.

What the chain can ask next is what one tested store never could: run one change across the estate and trust every number that moves.

More verifications in this series: a hardware and home-improvement chain in Northern Europe and a home-improvement store verified during its garden season. The full collection is available under Quality assurance stories.

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