Shelf Operations AI
Review OOS, shelf placement, and product movement.
Link shelf and slot evidence to the current product assignment. Review empty or low observations, placement mismatches, and fill, removal, or replacement results with supporting images and a clear operator action.
Start with the most urgent OOS, planogram, or product-movement workflow.
- OOS & replenishment
- Planogram verification
- Product movement
- Depletion patterns
Keep OOS, planogram, and movement decisions separate
Validate each signal against its own baseline and workflow, then review the results in one shelf operations view.
OOS
Prioritize current shelf gaps with evidence
Distinguish empty or low observations from unresolved replenishment work, then inspect the supporting image and analysis history.
Planogram
Review mismatches against the current baseline
Use the active product assignment as the expected placement and review mismatch candidates without treating them as OOS alerts.
Movement
Turn movement findings into controlled recommendations
Review fill, removal, replacement, or uncertain results before confirming, correcting, rejecting, or holding a proposed change.
Connect one shelf workflow in 3 steps
Connect the selected shelf signal to its baseline, supporting evidence, and operator response.
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01
Define the capability and baseline
Define the shelf, slots, OOS states, and current product assignments, then connect them to a replenishment or placement decision.
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02
Run controlled capture and analysis
Test realistic lighting, occlusion, angle, packaging, and assortment conditions, and keep shelf and slot evidence for each result.
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03
Connect evidence to action
Prioritize OOS work, review planogram or movement findings, and define staff actions, integration boundaries, and capability-specific success criteria.
On-device Vision and VLM for shelves
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.
Image transmission, retention, and review permissions are documented for the selected design.
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
Define how an AI Agent should support shelf review
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.
Questions shelf operations teams ask
Can one site use all three capabilities?
OOS, planogram, and movement can be assessed together when the installation, camera coverage, product data, and enabled capabilities support them. Each capability keeps its own success criteria.
How quickly can it cover the selected products?
Support is established for the selected product set. Similar packaging, new variants, occlusion, display changes, capture frequency, and edge processing are assessed because they affect coverage and response time.
How far does workflow automation go?
The current scope surfaces OOS observations, placement mismatch candidates, and movement results for evidence review. Planogram generation or optimization and automatic external updates are not included by default; integrations require compatibility and an explicit approval workflow.
Start with one site and one shelf decision
The demo maps the selected scope, evidence, operator response, and capability-specific success criteria.
After the demo, we summarize the evidence, operator response, and next site-review step.