Category managers make critical decisions daily about assortment, placement, and pricing—but are these decisions based on actual shelf reality or our assumptions? The difference between the two can mean millions in lost revenue.

AI-powered shelf intelligence provides category managers with unprecedented visibility into product performance at the shelf level. Track which SKUs consistently maintain availability, measure actual facings versus planned, and identify underperforming products occupying valuable space. This granular data transforms category review meetings from opinion-based discussions to fact-driven strategy sessions.

FMCG brands using AI insights for category decisions report 22% improvement in SKU productivity and 12% reduction in slow-moving inventory. The technology reveals hidden opportunities, such as identifying high-potential products that deserve more shelf space or spotting categories where competitors are outperforming you.