--- title: "Camera shelf analytics, no screens needed | GoTrack" description: "Measure which products shoppers pick up, hold and put back with cameras alone. No screens, tags or sensors. No face recognition." url: https://gotrackgo.com/en/shelf-analytics language: en updated: 2026-11-08 publisher: GOTONOM Yazılım Teknolojileri A.Ş. --- # Shelf analytics with the cameras you have, no screens needed 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. ## What is camera-based shelf analytics? **Camera-based shelf analytics** measures what shoppers do with the products on a shelf, using 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. ## What you learn without adding a single screen ### Which products draw hands Pickups per product and colour, by shelf zone and hour. ### What gets put back The put-back rate per product: the ones that are considered, then left. ### What nobody touches Products that sit on the shelf without interaction: candidates for a new place on the shelf. ## How it fits into a store - **Cameras:** placed close to the shelf so they see the products clearly; specified for each project; we supply them, or you buy them to that specification. - **Nothing on the products:** no tags, stickers or sensors. - **Processed in the store:** images are analysed on a device in the store; only product events reach the cloud. - **Add screens later:** the same system can drive [lift-and-learn screens](https://gotrackgo.com/en/lift-and-learn) when you are ready. ## Questions ### Do we need screens to use GoTrack? 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. ### Which reports does GoTrack produce? Pickups, hold time, put-backs, never-touched products and products compared together, per product, colour, zone, hour and store; store visits; and, with screens, which content goes with longer holds. Every report can be filtered by store and exported as CSV or PDF. ### Can GoTrack tell the colours of the same model apart? Yes. Reports are per product and colour. When two variants are so alike that a camera cannot separate them, GoTrack shows them as a pair instead of guessing between them. ### Are images processed in the store or in the cloud? 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. ## Further reading - [Product interaction analytics vs shelf recognition](https://gotrackgo.com/en/product-interaction-vs-shelf-recognition): Shelf image recognition checks stock, planograms and share of shelf. Product interaction analytics measures what shoppers do with products. - [What is put-back rate? How to read it](https://gotrackgo.com/en/what-is-put-back-rate): Put-back rate is the share of pickups that go back to the shelf. How it is calculated, how to read it by product and colour, and the mistakes to avoid. - [Lab note: our put-back rate was wrong, and why](https://gotrackgo.com/en/put-back-rate-correction): Lab note, 8 Oct 2026: our dashboard showed 69% put back on a test shoe table where every shoe came back. Four counting errors, fixed and re-measured. - [What is hold time in a store? How to use it](https://gotrackgo.com/en/what-is-hold-time): Hold time is how long a product stays in a shopper's hand after a pickup. What it tells you, how to read it by product and colour, and its limits. ## See your shelves in numbers. Tell us about your stores and we will show you the reports on products like yours. [Request a demo](https://gotrackgo.com/en/demo) · or write to info@gotonom.com --- GoTrack · by GOTONOM · https://gotrackgo.com/en/ · info@gotonom.com