Procter & Gamble: P&G uses an AI-powered shelf monitoring tool called RackSmart, developed with partner Impact Analytics, which uses mobile phone images and computer vision to automatically audit store shelves — identifying P&G product availability, detecting out-of-stocks, checking planogram compliance, and capturing competitor shelf data — and feeds results in real time to P&G merchandisers. | AI Trace
Data Analysis
P&G uses an AI-powered shelf monitoring tool called RackSmart, developed with partner Impact Analytics, which uses mobile phone images and computer vision to automatically audit store shelves — identifying P&G product availability, detecting out-of-stocks, checking planogram compliance, and capturing competitor shelf data — and feeds results in real time to P&G merchandisers.
Details
RackSmart enables P&G field representatives to capture store shelf images with a mobile phone; the system's computer visionAI then automatically identifies each product (P&G and competitor), checks stock levels and shelf placement against planned layouts, and generates alerts and reports for merchandisers. According to Impact Analytics' own product page, the system replaced manual shelf audits. Third-party analysis citing P&G as a user reports a 75% improvement in shelf audit process efficiency. The system feeds real-time shelf data into P&G's supply chain demand forecasting processes.
