One shelf photo.
A full audit
in seconds.
The rep snaps the shelf; the AI counts your SKUs and facings, checks them against the planogram, and measures your share of shelf against every competitor on the rack — before they leave the store.
Stop trusting
a tick-box shelf audit.
Facing counts, planogram compliance and share of shelf — read from the photo by AI, not estimated by a rep in a hurry.
The photo is the audit.
The rep frames the shelf and taps once. Image recognition finds every pack, reads the facings and maps them to your product catalogue — no manual checklist, no "looked fine to me", and a geo- and time-stamped photo on file.
Every pack counted, not eyeballed.
The model identifies each SKU and how many facings it holds, flags out-of-stock gaps and misplaced packs, and compares the real shelf to the planogram you set — so a missed facing is caught on the visit, not at month-end.
Your space vs theirs, measured.
The audit does not stop at your packs — it measures the whole rack, so you see your share of shelf against each competitor and how it moved since the last visit. Merchandising arguments backed by a photo, not a feeling.
One number the field can be held to.
Every audit rolls up to a planogram-compliance score per store, per beat and per rep, trending over time — so a slipping outlet is visible on the dashboard long before it costs a secondary-sales dip.
Questions, answered.
The rep takes one photo of the shelf. Image recognition detects every SKU and its facings, maps them to your catalogue, checks them against the planogram and scores compliance — in seconds, with the photo geo- and time-stamped on record.
Yes. The audit reads the whole rack, so you get share of shelf against each competitor and how it has moved since the last visit — merchandising evidence backed by the photo.
Out-of-stock gaps, misplaced packs, under-faced SKUs versus the planogram, and outlets whose compliance score is slipping — all surfaced on the visit and rolled up to the dashboard.
The model is trained to your product catalogue, so it recognises your packs and common competitor packs in the category; new SKUs are added as your range changes.
AI (SI) planogram and shelf audits sit in the Supply Chain module and are also available as a platform extension. We tune recognition to your catalogue and shelves on a short call.
Teams that switched, tell it better.
Earlier I noted leads in a diary at night and half of them were lost. Now I just speak to Kini AI after each visit — the lead is recorded with the outlet and quantity, scored, and my follow-up is set before I've even left the shop. Nothing slips any more.
Kinematic's analytics changed how we plan. We see beat coverage, conversion by zone and pipeline health live — so territory and sales strategy decisions are made on this month's data, not last quarter's reports. Reviews that took days now take an hour.
Ready to see
it in action?
Tell us about your field team and we'll set up a personalised demo — showing exactly how Kinematic maps to your workflows.