Case Study: British Multinational Consumer Goods Company achieves improved on-shelf availability and market share with LTIMindtree Vision Analytics

Growing Market Share with Vision Analytics for a Global FMCG Company

The British Multinational Consumer Goods Company needed a better way to identify shelf-share compliance, reduce lost sales, and improve visibility into SKU placement and on-shelf availability across retail stores. LTIMindtree was brought in to replace inconsistent manual updates from sales reps with an automated image-based process, using shelf photos to assess compliance and support more accurate planning and decision-making.

LTIMindtree implemented an AI vision analytics solution that ingests shelf images, detects SKU attributes for both the customer and competitors, and uses active learning and auto-annotation to handle labeled data challenges. The solution now processes 1,000+ images per week across 2,000+ stores, supports 11 brands and 50+ SKUs in 4+ countries, and delivers standardized weekly reports in Excel, helping improve productivity, increase on-shelf availability, and create potential revenue uplift.