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Using AI to Understand True Customer Numbers and Behaviour

Background and The Challenge

United Carpets is the UK’s largest flooring and bed retailer operating a franchise model. It has around 55 stores, many across the North and Midlands.

Counting real customers in a typical United Carpets showroom is difficult, and the previous footfall system couldn’t solve the key issues.

Across the day, many people go through the door who aren’t customers—for example contractors, staff, and sales reps.

At the same time, real shoppers may arrive alone or in family/friend groups. This mix caused daily numbers to swing, making benchmarking and trend analysis difficult. The data wasn’t consistent enough to be reliable or fair.

Piloting Solutions

In 2024, Axiomatic worked with United Carpets to review available technologies.

After a two-month pilot of two solutions, Axiomatic won the roll-out to deploy the TDI AI‑enhanced footfall solution across both corporate and franchised stores.

TDI addressed many of the issues seen in a typical United Carpets day.

As an overhead door sensor, it delivered the standard “through-the-door” counting accuracy expected from mature solutions.

The key difference was its AI‑enhanced Re‑ID algorithm, which helped United Carpets better understand visitor behaviour.

Re-ID Visitor Filtering

The Re ID feature analyses each person as they move through the monitored area and assigns a unique visitor ID based on observable characteristics.

That record is stored, so if the same person returns later in the same day, they can be recognised and not counted as a new customer.

Because it analyses visitors, the system can also recognise staff uniforms.

As a result, United Carpets could get closer to a fair view of true customer opportunity. Staff going in and out to help load products into vehicles could be excluded, and contractors making multiple trips could be counted only once.

Using the group counting algorithm also helped United Carpets refine how they measured conversion.

Axiomatic delivered the roll-out on budget and ahead of schedule.  If you would like to know more about this case study please get in touch with us.

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