HumanVu
Understand your customer using real-time analytics.
Computer vision and AI analytics for physical retail. Shopper age, anonymised footfall, dwell time, and customer emotional reporting.
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. Using customer analytics, key a video to a specific display.
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.
From first call to fully live.
- 01
Site survey
We map the floor plan, entrances, and the questions you want answered.
- 02
Edge install
Cameras and edge compute go in over a single planned visit. No ongoing disruption.
- 03
Calibration
We baseline one to two weeks of normal trading so the dashboards reflect your store, not a template.
- 04
Insights on tap
Your team gets the dashboards, weekly digests, and an escalation line straight to us.
Let's put HumanVu in front of you.
Bring your team, your dreams and your biggest wish list.