Research, analysis, and practical insights on shelf execution, out-of-stock reduction, planogram compliance, and the future of retail visibility — for retailers and CPG brands who need to know what’s really happening in the aisle.
The named mechanism that connects inventory accuracy failure to on-shelf availability failure — the five failure modes inside the store, the four detection methods, and the four-step fix that closes the restock gap at the shelf.
The pillar guide to store-level inventory accuracy — what it really measures, how it differs from on-shelf availability, why the industry average sits near 63%, and the five methods that actually close the gap at the shelf.
Standalone retail AI vision often creates data fatigue instead of solving it. Here’s why a managed Scan → Insights → Action model is the only way to close the gap between digital inventory and the physical shelf.
The pillar guide to the single largest distorter of OSA — the five causes, why POS/IMS/ceiling cameras can’t see it, and how retailers actually detect it at the shelf.
A vendor-neutral buyer’s guide — eight criteria that actually predict outcomes, a head-to-head comparison grid across the eight vendors you’ll likely encounter, and a 10-question RFP checklist.
The pillar guide to OSA — what it really means, how it’s measured (and mismeasured), why industry averages still sit near 92%, and the practices that separate best-in-class retailers from the pack.
The global AI in retail market is projected to reach $55.53 billion by 2030. Here’s how artificial intelligence is reshaping personalization, pricing, inventory accuracy, and shelf monitoring across the store.
AI-powered computer vision is reshaping retail — from $1.77 trillion in annual inventory distortion to systems that detect misplacements in milliseconds.
IHL Services research shows 67% of retailers face weekly execution issues — and the problem compounds at scale. Here’s what the gap looks like and how ground-truth shelf visibility closes it.
See how ShelfOptix delivers the shelf intelligence retailers and brands need to take action — at scale, without the operational burden.
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