Shelf Execution

Computer vision captures shelf reality across every store. AI scores deviations by dollar impact and routes corrections to the floor, so your team works on the gaps that cost the most.

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Most retailers cannot verify whether stores actually execute them. Manual audits sample a fraction of shelves days after a reset, and the gap between the plan and the shelf is where margin leaks. CINDE Store Intelligence closes that gap with three connected capabilities.

On-demand shelf visibility, not periodic audits

Computer vision captures shelf conditions across stores, replacing manual walks and spot checks. You see compliance scores by store, category, and section without waiting for the next audit cycle.

Corrections prioritized by financial impact

Not every deviation costs the same. AI scores compliance gaps by the revenue and margin at risk, so store teams fix the highest-value problems first instead of working through a generic checklist.

Compliance connected to the plan that created it

Shelf execution data feeds back to the assortment and space planning teams that built the planogram. When the same deviations repeat across stores, you fix the root cause in the plan, not just the symptom on the shelf.

+21.3 points planogram accuracy
at a Canadian grocer, sustained over 12 weeks.
+5.7 points shelf availability
AI-driven shelf monitoring replaced manual checks, with +5.7 points shelf availability and +2% category sales improvement
+10.9 points planogram compliance
at Sonae (Portugal). Deployed across 2 stores covering 7,000+ SKUs and 70% of categories
+66% scanning productivity
and +2.9 points on-shelf availability delivered at Sonae
+20 points planogram execution
at a 1,000+ location convenience store
+4% location revenue
Store Intelligence identified stocking priorities and directed labor activity, delivering +7 points shelf availability and +4% location revenue
How does AI improve planogram compliance in retail?

Computer vision captures shelf conditions at store level and scores deviations by financial impact. Instead of periodic manual audits that sample a fraction of the shelf, AI monitors continuously and routes corrective tasks to the floor, prioritized by the revenue at risk.

What is the difference between planogram compliance and on-shelf availability?

On-shelf availability measures whether a product is present and buyable. Planogram compliance measures whether products are in the right position, with the right number of facings, in the right sequence. A shelf can be fully stocked (high availability) but completely out of compliance with the merchandising plan.

How does computer vision replace manual shelf audits?

Store associates or fixed cameras capture shelf images. Computer vision identifies every product, its position, and its facing count, then compares against the planned planogram. Deviations are scored and routed as tasks. This replaces the manual walk-and-checklist process, covering more shelves with higher accuracy and lower labor cost.

Do I need fixed cameras or store WiFi infrastructure?

CINDE works with mobile capture. Store associates use a handheld device to scan sections during routine shifts. No fixed cameras, no WiFi dependency, no construction required.