Pickups
Which product and colour was taken from which shelf zone, and when.
In-store product analytics & smart screens
Know every product shoppers pick up. Show it while they decide.
GoTrack shows which products shoppers pick up, how long they hold them and which they put back — for every product and colour, in every store. And, if you want, the screen beside the shelf shows that product at the same moment.
- No face recognition
- No shopper images stored
- Keeps working offline
- Every store from one panel
Your existing camerasStandard IP and USB
Product- and colour-levelNot just “the rack was touched”
Processed in the storeEvents, never footage
TR · EN · ESBuilt and supported in İstanbul
What is GoTrack?
GoTrack is retail vision-analytics software made by GOTONOM in İstanbul. It measures product interaction on the shop floor: which product and colour was picked up, from which shelf zone, how long it was held and whether it went back on the shelf.
Its focus is products: what shoppers do with them. It uses no face recognition, images are processed on a device inside the store, and screens are optional.
See it happen
Picked up. On screen. Measured.
A shopper lifts a product and the screen beside the shelf switches to it while they decide. When it goes back on the shelf, the screen returns to its playlist, and the pickup, the hold time and the put-back are in your reports.
- No tags, no touch: the store's cameras see the product in hand.
- Screens are optional: the same moment is measured without them.
Measured
How fast the screen reacts
0.35 sMedian with one product on the screen
0.51 sMedian when two products share the screen
0.71 sThe slowest of 24 measured fires
Measured on 30 September 2026 in GoTrack's test setup: 25 fires across 8 products; 24 reported their render back (one two-product fire did not). Timed on the store device's clock from the moment GoTrack decided which product was in hand until the screen reported the product content painted, including that report's trip back. The time from lifting a product to that decision is not included here; we will publish it once it is measured. How we measured it
The missing half of your data
Your sales data stops at the till. GoTrack starts at the shelf.
Point-of-sale data tells you what was bought. It is silent about everything a shopper considered and left behind.
What your POS tells you
- Which products sold, and how many
- Which store and which day
- Nothing about the products that were tried and left
What GoTrack adds
- Which products were picked up — and which were never touched
- How long each one was held, and which were put back
- Which products shoppers compared, and when the shelf was busiest
Analytics
Everything your merchandising team has been guessing, measured.
Every report works per product and colour, and can be split by store.
See the analyticsHold time
How long shoppers actually hold each product — not how long they stand nearby.
Put-backs
Products that are picked up and returned, and the put-back rate per product.
Never touched
Products sitting on the shelf that draw almost no interaction.
Compared together
Products picked up one after the other — the pairs shoppers weigh against each other.
Hours and zones
When and where interaction happens, by hour of day and shelf zone.
Store visits
Interactions close in time grouped into a visit — how many products one visit explored. No identities.
Content performance
Which screen content goes with longer holds, per asset and per store.
Audience insightsComing
Which age ranges and genders engage with each product, as aggregate reports.
Smart screens
The product in their hand. On the screen beside them.
While a shopper is still deciding, the nearest screen shows the product they are holding. Pick up a second one, and both share the screen.
- Reacts in the moment: the screen changes while the product is in hand.
- Your playlists play the rest of the time.
- Every store's screens from one panel, and they keep running offline.
Privacy by designRead the privacy approach
GoBot watches the products. Never the people.
GoTrack was designed so that the answer to “what do you keep about our shoppers?” is short — with KVKK and GDPR in mind.
Processed inside the storeImages are analysed on a device in the store, in memory. They are not sent to the cloud for analysis.
No face recognitionNo face templates, no biometric matching, and no shopper is recognised from one visit to the next.
No images keptBy default no camera image is written to disk. What is analysed is discarded.
Events, not videoThe cloud receives product events — product, zone, time, hold time. Never footage.
Use cases
One camera system. Many ways to use it.
Screens are optional: the analytics works with cameras alone.
All use casesShelf analytics, no screens
Pickups, holds and put-backs from your cameras alone.
Learn moreLift and learn
Pick up a product; its story appears on the screen beside it.
Learn moreShowrooms & trade fairs
Hold a product up to the camera and the screen presents it.
Learn moreScreen content testing
Which content goes with longer holds, per asset and store.
Learn moreVisitor counting
On request: how many came in, anonymously.
Learn moreStore and chain benchmarking
The same reports, compared across every branch.
Learn moreWhere it fits
Made for stores where the product does the selling.
Works with your cameras
Standard IP and USB cameras — the camera just needs a clear view of the shelf.
Product- and colour-level
Not “someone touched the rack” — the exact product and colour variant.
Add products yourself
A guided step in the panel — no data-science project, no waiting on a vendor.
Offline-first
Recognition and screens keep running when the internet drops; nothing is lost.
Managed remotely
Every store device reports its health and receives updates without a site visit.
Local team, three languages
Built and supported in İstanbul. Panel and site in Turkish, English and Spanish.
What GoTrack is not
- Not shopper tracking. No shopper is identified, profiled or recognised from one visit to the next. Product analytics vs people counting.
- Not face recognition. No face templates, no biometric data, no shopper recognition.
- Not a POS integration. It does not read your sales data; it sends its events to your systems instead.
Common questions
What is GoTrack?
GoTrack is retail vision-analytics software made by GOTONOM in İstanbul. Using store cameras, it measures product interaction on the shop floor — which product and colour is picked up, how long it is held and whether it is put back — and shows that product's content on the nearest screen.
Does GoTrack count people?
On request, yes. GoTrack's standard reports are about products: what shoppers pick up, hold and put back. For stores that also need visitor numbers, GoTrack can count visitors with the same cameras, anonymously and without face recognition; it is set up per project.
Does GoTrack use face recognition?
No. There is no face recognition, no face template, no biometric matching, and no shopper is recognised across visits.
Does GoTrack work with our existing cameras?
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.
What happens if the store's internet goes down?
Recognition, screens and event recording carry on in the store. Screens play their stored content, and events wait on the device and are sent with their real times when the connection returns.
How quickly does the screen change when a product is picked up?
In our measurement on 30 September 2026, the screen showed the product within 0.71 s of GoTrack deciding which product was in hand, in all 24 measured fires: a median of 0.35 s with one product on screen and 0.51 s with two. The time from the lift itself to that decision is not yet measured separately.
See what happens at your shelves.
Tell us about your stores and we will show you GoTrack on products like yours.
or write to info@gotonom.com