In-store analytics for supermarkets: every trip, matched to the receipt

In-store analytics is the measurement of how shoppers move, stop and buy inside a physical store. It shows which zones and aisles they reach, where they slow down in front of a bay and whether the visit ended in a purchase. Our glossary has the full in-store analytics definition.

It depends on the question. People counters measure footfall and store conversion. Computer vision covers the zones its cameras see. Trolley and basket tags matched to receipts, the Shoppermotion approach, measure conversion per bay and in-store media across the whole store. Most supermarkets need the last one for category and media decisions.

People counting measures how many visitors cross the entrance. In-store analytics measures what happens between the entrance and the till: the path, the zones visited, dwell time, contact with each bay and, with ticket matching, what was bought. A counter gives you footfall; full paths explain it.

Yes, when each trip is matched to its receipt. With the Shoppermotion Insights plan, every anonymous trolley or basket path is matched to its own POS ticket, so each stop has an outcome: shelf conversion, missed opportunities and sales lift per placement. Counter-based tools compare total traffic with total sales instead.

No. Shoppermotion uses Bluetooth tags on trolleys and baskets, located by Angle of Arrival antennas on the ceiling with sub-metre precision. Shoppers install no app, there are no cameras and no personal data: the system tracks shopping tools, not people, and it is GDPR compliant by design.

By measuring each placement the way digital media is measured: verified impressions, views, visits to the promoted category and sales lift per screen, end cap or display. Exposure is taken from the real path and linked to the matched receipt. See offline attribution and Retail Media.

Deployed in hours, no works in store. A project usually starts with a pilot store: antennas go on the ceiling, tags go on trolleys and baskets, and the hardware does not interfere with existing electrical or network installations. After the pilot, the rollout extends to more stores and formats.

Shoppermotion has no public price list. Each project is quoted from five factors: store format and size, number of stores, trolleys, baskets or both, ticket matching and service level. The ROI calculator estimates the value for your stores, and the pricing page explains how a quote is built.

Yes. Shoppermotion AI dashboards show traffic, paths and conversion per store, category and bay in one place, with ticket data on the Insights plan. The same data is available through the REST API and data exports, and integrates with Power BI and Tableau if your team prefers its own BI tools.