Industries  ›  Retail & supermarkets

Retail & supermarkets

How many walked in. How many reached the till. Which aisle earns the floor space it occupies. Your cameras already counted all of it.

Configured to your store — not a fixed product

Everything on this page is already built. What changes from site to site is your zones, your rules and your report — mapped once when we install, then left alone.

If what you need isn't listed here, it is usually a configuration rather than a new product. One platform, configured per industry, never forked into a different one — so an improvement made for another site reaches yours too.

From a live pilot

A billing counter, read

Real output from a shop we run today. Every person separated, the counter zone mapped, faces blurred and the store anonymised.

Retail billing counter with people detected
Billing counter — live pilotEach person tracked with a stable ID, so one shopper is counted once no matter how long they stay.

What it measures

Every number traces back to a zone on that frame

These run on the cameras you already own. No new lens, no re-cabling, no change to how the shop trades.

Works from day one No new cameras Video stays on site Counts one shopper once

Footfall by hour and day

The number the whole business is judged on, measured continuously and compared week on week.

Walk-past vs. walk-in

Capture rate at the frontage — tells you whether the problem is the window or the floor inside.

Browser vs. buyer

Visits that reach the billing zone against visits that do not. Conversion without touching the POS.

Aisle and section dwell

Which fixture holds attention and which is ignored. Merchandising decided on evidence.

Dead-zone map

Floor area nobody walks through. Usually the cheapest square footage to reclaim.

Billing queue and wait

Queue length and estimated wait, with an alert when three or more are waiting.

Counter open vs. queue

Whether to open the second till, answered live rather than after the complaint.

Staff on floor vs. footfall

Over-staffed at eleven, empty at seven. The roster written from the actual curve.

Time to first staff contact

How long a customer stands in a section before anyone speaks to them.

Unattended counter minutes

Billing desk left empty during trading hours — walkouts nobody records.

Repeat visitors

Share of visits that are returns, and how often they come back. Loyalty without an app.

Trading hours observed

When the shutter actually went up, against when it was meant to. Multi-store owners rarely know.

On request

Built for your site, on your timeline

These need a detection model trained for your space or a link into your existing systems. We scope them per site, so the build matches how you actually operate.

True conversion %

Visits divided by bills, joined to your POS. The CFO number, once the two systems talk.

Empty-shelf detection

Gap-on-shelf alerts. Needs a shelf model and a fixed camera per bay, so we scope it per store.

Trial-room conversion

Entries against purchases for apparel. Highest-intent signal in fashion retail.

What arrives

Before the next shift opens

On WhatsApp or email, with a live dashboard for whoever runs the floor and alerts the moment something needs attention.

STORE — TUESDAY, 12:08 TO 14:26 Customer visits 45 Staff on floor 4 Peak occupancy 4 people at once Average dwell 1 min 27 s Median dwell 1 min 20 s Longest single visit 5 min 25 s Busiest window 12:58 — 11 customers Counter unattended 2 windows during trading hours

Every line above is configurable. Thresholds, time windows, which events raise an alert and who receives it are set with you at install.

Send us two hours of your footage.

We will send back what it says — including an honest assessment of what your cameras can and cannot support. No site visit, no installation, no commitment, and no hardware needed for the trial.

Start with a shift

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