Shelf Operations AI

Stop sales loss from OOS and shelf execution errors.

Analyze live shelf images to identify out-of-stock conditions and placement errors as they emerge. AI gives your team visual evidence to act quickly, replenish with confidence, and protect sales.

Request a shelf operations demo
Product concept screen combining OOS, planogram, and product movement analysis in one shelf operations view
Concept image for illustrative purposes only.
  • OOS & replenishment
  • Planogram verification
  • Product movement
  • Depletion & recovery patterns

AI analysis built for each shelf issue

Independently validate and operationalize the capabilities you need for OOS, placement mismatches, and product movement in your stores.

OOS

Detect shelf gaps and prevent lost sales

Detect low or empty products, alert teams to unfinished replenishment work, and review time-based history for each product.

Planogram

Keep execution aligned with planograms

Compare the live shelf with the planned layout to find mismatched products and manage the alert and review workflow.

Product movement

Optimize shelf changes with data

Use ESL integration to support price-label moves and shelf changes without manual barcode scans.

Simplify shelf management in 3 steps—from setup to action

Move through a clear, guided process from selecting the problem to taking action on the floor.

  1. 01

    Choose the problem and set the baseline

    Select the store’s most urgent issue—such as OOS or placement errors—and register the reference shelf state for comparison.

  2. 02

    Run precise AI analysis for your store

    AI accounts for real-world variables including lighting, occlusion, and camera angles to deliver reliable analysis with fewer errors.

  3. 03

    Turn evidence into immediate action

    Review OOS and placement errors with visual evidence, then direct replenishment or re-merchandising actions to the right staff.

Fast, secure analysis at the edge—without cloud transfer

On-device Vision and VLM inference turns shelf and slot imagery into SKU observations, OOS states, planogram mismatch candidates, and product-movement results. Evidence images and analysis results follow the transmission, retention, and review rules defined for the selected camera and workflow design.

  • Models distinguish product and SKU observations within configured shelf, slot, and region-of-interest boundaries.

  • Each candidate result keeps the observed state and evidence needed for operator review.

  • Sensitive store imagery is managed securely according to your security policy and is available only to authorized reviewers.

See the evidence behind each shelf action

The demo shows the image, observed state, and review decision behind each OOS, planogram, or movement action.

  • Shelf and slot images, marked regions of interest (ROI), analysis time, and the resulting state

  • OOS observations, replenishment work, and available analysis history

  • Expected product, observed result, and evidence for each planogram mismatch candidate

  • Movement result, review decision, action status, and confirmed integration boundary

AI AGENT Integration review

Automate complex shelf reviews by talking with an AI Agent

AI Agent access is not included in the current Shelf AI default scope. During the demo, we review whether OOS observations, planogram mismatch candidates, and product-movement review states can connect to an AI Agent approved by your organization for natural-language queries.

Questions for an integration review

  • Prioritize the OOS slots that need review and include the supporting evidence.

  • Group planogram mismatch candidates by observed result and review status.

  • List product-movement results that still need an operator decision.

Availability depends on a separately scoped data connection, site and role permissions, and enabled outputs. AI Agent integration review is limited to query and organization; restocking, placement changes, and external updates remain operator actions outside the default scope.

Concept illustration showing authorized data flowing through an access boundary to an AI reasoning layer and evidence-backed answers
Concept image for illustrative purposes only.

Frequently asked questions

Can one store use all three capabilities?

Yes. When camera coverage and the installation environment are in place, OOS detection, planogram checks, and product-movement analysis can run together in one store. We assess the site before deployment and recommend the most effective scope.

How quickly can selected products be supported?

We can prioritize AI analysis for high-revenue or urgently managed product groups. After a short initial learning period to account for variables such as lighting and package variations, coverage expands gradually once stable analysis is established.

How far does workflow automation go?

Today, we focus on automated analysis and review that helps store operators make faster, more accurate decisions. AI identifies OOS and placement errors with supporting evidence, while the operator makes the final confirmation.

Start with the most urgent issue in your store

In a demo meeting, we design a tailored capability scope and a clear path to measurable ROI.

Request a shelf operations demo