TrackBackshelf intelligence

Your shelf keeps a ledger.

TrackBack turns the cameras you already own into shelf-level analytics — every pick-up, put-back and pause, recorded as anonymous events. Know what almost sold, and prove which placement earns its keep.

Entry № 01The blind spot

POS sees the sale.
Not the almost-sale.

Your till records what sold. It never saw the shopper who lifted the jar, read the label, checked the price — and put it back. That moment is the most honest feedback in retail, and it goes unrecorded in every store, every day.

16:41:07picked up — Vitamin C Serum, zone B2
16:41:18considered — 11 seconds·
16:41:24put back — zone B2
sale: never happened, reason unknown

The ledger your till never kept.

Entry № 02The signal

Three events.
Cameras you already own.

Pick-up

A hand lifts the product off the shelf. Interest, made physical — the metric your bestseller list is built on, now visible before the till.

Put-back

Returned to the shelf. Interest that didn't convert — the loudest silent feedback in the store: wrong price, wrong size, wrong words on the pack.

Dwell

Seconds spent engaging with a zone. Attention, measured — which displays stop people, and which ones they walk straight past.

No faces. No identities. No video ever leaves the device — see how.

Entry № 03The retrofit

Fitted in an afternoon.

01
Plug in

A small box beside your router. Your existing cameras connect to it — no new hardware on the shop floor, no rewiring, nothing shoppers can see.

02
Detect

Vision runs on the box, inside the store. Footage is read and discarded on the spot; only anonymous events leave: zone, action, timestamp.

03
Decide

The dashboard turns the stream into answers — which shelf earns its space, what gets lifted and abandoned, whether the move you made paid off.

Entry № 04The proof

Move the product.
The ledger settles the argument.

Record a placement change and TrackBack measures it automatically — pick-ups per day before and after, over matched windows. No more gut-feel debates about eye level.

Before · zone D1 — bottom shelf
2.4pick-ups/day
+154%
After · zone B2 — eye level
6.1pick-ups/day

Illustrative example.

Entry № 05The architecture

Private by architecture,
not by settings page.

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Video never leaves the store. Frames are processed on the device and discarded in seconds.

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No faces, no identities, no following anyone around the shop. Events are anonymous by construction — a zone, an action, a timestamp.

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What little data exists lives in the EU, behind a login. GDPR isn't a checkbox here; it's the reason the system is shaped this way.

Put your shelf
on the record.

Book a pilot

Pilots run on your existing cameras. If it doesn't fit, we unplug the box and leave no trace.