Know which stores convert, which are understaffed at 2pm Saturday, and which are underperforming, so you can lift profitability and service levels with counts you can trust.
You probably already have a counting system. It counts people who never came in, it drifts when the lighting changes, and when it breaks the fix sits in an overseas ticket queue. So nobody trusts the conversion rate and the roster still runs on last year's assumptions.
We map your sites, choose Count Pods or CCTV integration per location, and fit each pod with a lens for its mounting height.
Count Pods mount overhead at each entrance, on the building's own power. CCTV integration runs on a lightweight CPU server inside your network.
Our engineering team loads a custom AI model for each site, then calibrates, tunes and ground-truths it against manual counts before go-live. All of it is done remotely.
Pulse Analytics dashboards, automated reports and the REST API put the data where your team already works.
Countculture visitor counts feed 2degrees' daily retail reporting.
A trial with the Oxford Street business community, sensors mounted under awnings on shop power, counting and classifying footpath users alongside a new separated cycleway.
