Which products draw hands
Pickups per product and colour, by shelf zone and hour.
Not every store wants a screen on the shelf. GoTrack's product analytics works with cameras alone: which products are picked up, held, compared and put back, per product, colour and store.

Camera-based shelf analytics measures what shoppers do with the products on a shelf, using ordinary store cameras instead of tags, sensors or scanners. GoTrack reports pickups, hold time, put-backs, never-touched products and products compared together, by hour and shelf zone.
Pickups per product and colour, by shelf zone and hour.
The put-back rate per product: the ones that are considered, then left.
Products that sit on the shelf without interaction: candidates for a new place on the shelf.
In the store. Images are analysed on a device in the store and are not sent to the cloud for analysis. Only product events and device health reach the cloud, which is also why recognition and screens keep working without internet.
Usually. IP cameras with RTSP, ONVIF cameras, HTTP streams and USB cameras are supported. The camera must see the shelf; if an existing camera does not, an extra camera may be needed.
Yes. It reports pickups per product and variant, average hold time, put-back rate, products compared together and never-touched products. It measures how long a product is held, not how long someone stands in front of it.
No. GoTrack's product analytics works with cameras alone. Screens are optional: add them when you want the shelf to react to the product in hand.
Tell us about your stores and we will show you the reports on products like yours.
or write to info@gotonom.com