Every completed load invoices itself from its own paperwork, at 10,000 to 15,000 bills of lading a month in production.
Seekr Retail Planogram Vision Agents
Field associates find and correct shelf problems on the first visit, and every visit leaves an auditable record for the brands served.
Vision models in the hands of more than 4,000 field associates spot planogram drift and hidden out-of-stocks, then rank which fix protects the most revenue.
What the agent does
Reads the shelf from a handheld photo, detects planogram drift and hidden out-of-stocks, and ranks the fixes by the revenue each protects.
- Contributed by
- Seekr (Explainable AI platform for decision-critical environments)
- Industry
- Retail, CPG
- Audience
- B2B
01
The problem
Why this exists
Out-of-stocks cost global retail about $1.2 trillion a year, according to IHL Group, and 72% of them trace to in-store ordering and replenishment practices rather than to failures upstream in the supply chain. The problem, and the fix, sit at the shelf.
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For a company whose business is the last 100 feet of retail, executing shelf work for the world's largest consumer packaged goods brands, the hard part was never fixing a shelf. It was knowing where to look. A planogram drifts a few facings at a time, and an out-of-stock hides behind a row that looks full. Miss it, and the associate may not see that shelf again until the next visit. Traditional audits gave brands visibility after the fact, once the chance to fix the problem had passed.
02
Outcomes
What changes when this is in place
- Rollout to more than 4,000 field associates working across more than 40,000 retail locations.
- More in-store issues found and corrected on the first visit instead of requiring a return trip.
- Every shelf becomes a measurable performance surface for the CPG brands served.
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- Less administrative overhead, so associates spend more of each visit on judgment work.
03
How it works
Architecture
SeekrFlow supplies the working parts: vision language models, an agent builder, and explainability that traces every output to its source.
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For this customer, vision language models carrying retail-specific intelligence see what an associate sees. They detect planogram drift and hidden out-of-stocks, then prioritize: the application shows which fix protects the most revenue, with clear guidance on where to focus while the associate is still in the aisle. The models run at the edge, in associates' hands, so guidance arrives inside the visit rather than after it. Each visit produces an AI-verified record of what was right, what was wrong, what was fixed, and why, which is what makes every shelf a measurable surface for the CPG brands the company serves.
Tech stack
SeekrFlow, the AI operating system for decision-critical environmentsVision language models tuned for merchandising workEdge runtime on handheld devices in the aisleAI-ready Data Engine for unstructured documents, images, and recordsBuilt-in explainability that traces every output to its source dataModel-agnostic layer supporting open-weight and fine-tuned models
Next step
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Everyone credited on this solution
- SeekrExplainable AI platform for decision-critical environments
Every organization named here has a page listing the rest of its work on the Hub.
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Verification
Contributor submission
The detail on this page comes from the contributor's own account of their own work. The MACH Alliance reviews a submission before publishing it and does not independently verify the figures in it.
What this page does not establish
- The $1.2 trillion annual cost of out-of-stocks is an IHL Group industry statistic, not a result Seekr or its customer measured.
- The 72% share traced to in-store ordering and replenishment is part of the same IHL Group statistic, not a Seekr measurement.
- The rollout is underway, and the customer has reported no measured improvement in merchandise quality resolution.
- The customer is anonymous, so no figure on this page is independently attributable.
Where this came from
Solution detail is drawn from Seekr's submission to the hub. The $1.2 trillion and 72% figures are IHL Group industry statistics, and the customer is anonymous.
Status: Staged rolloutAdded Oct 28, 2026A listing is an editorial decision, not a MACH Alliance certification.
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