AI retail analytics · AI-native

HumanVu

See the store the way your best manager does.

Computer vision and AI analytics for physical retail. Anonymised footfall, dwell time, and conversion mapped against the layout — so you can merchandise from data, not from gut.

100%
On-device processing
0
Faces identified
Zones
Mapped to store layout
Weekly
Trend reports
What it does

The things operators actually need.

Anonymised footfall

See exactly how many people came through the door, segmented by hour, day and entrance — without identifying a single individual.

Dwell and attention

Measure how long shoppers linger in a zone, which displays earn attention, and which parts of the store get skipped entirely.

Heat maps by zone

A literal map of the store overlaid with movement density. Merchandise the way your customers actually shop, not the way the planogram assumes.

Conversion funnels

From entrance to fitting room to till. Identify the step that leaks, and test fixes with before-and-after data you can defend.

Privacy-first, edge-processed

Video never leaves the store. The edge device processes everything on site and ships only anonymous aggregated counts to the cloud.

Built for the boardroom

Every dashboard is designed to answer one question a merchandiser or operator actually asks — not to impress a data scientist.

How it works

From first call to fully live.

  1. 01

    Site survey

    We map the floor plan, entrances, and the questions you want answered.

  2. 02

    Edge install

    Cameras and edge compute go in over a single planned visit. No ongoing disruption.

  3. 03

    Calibration

    We baseline one to two weeks of normal trading so the dashboards reflect your store, not a template.

  4. 04

    Insights on tap

    Your team gets the dashboards, weekly digests, and an escalation line straight to us.

Ready to see it?

Let's put HumanVu in front of you.

A 30-minute demo with the team that built it. Bring your estate, your constraints, and your hardest questions.