Retail / CPG

Shelf Execution

See every shelf. Fix what matters first.

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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Planograms represent millions of dollars in merchandising strategy.

Most retailers have no way to verify whether stores actually execute them. Manual audits sample a fraction of shelves, days or weeks after a reset. By the time you find a deviation, the revenue impact has already happened. The gap between the plan and the shelf is where margin leaks.

Continuous 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.

Real outcomes, proven in production

+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

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Frequently asked questions about planogram compliance AI retail

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.
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.
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.

Know what your shelves look like right now

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