Shelf Intelligence: The Revenue Imperative for Modern Retail

Retail is entering a critical inflection point where inventory accuracy and shelf execution directly determine revenue performance. Despite years of digital investment, retailers continue to lose an estimated $1.7 trillion globally due to out-of-stocks, overstocks, and distorted inventory signals—while customers increasingly turn to competitors when products are unavailable.

This webinar expands on research conducted in collaboration with the research firm IHL Group, based on surveys and in-depth interviews with hundreds of retail executives globally. In the session, Greg Buzek, President and Chief AI Officer at IHL Group, shares findings from IHL’s latest research, revealing a widening gap between retail profit leaders and laggards. The data shows that profit leaders are investing significantly more in inventory visibility, clean data, and AI-enabled operations—and are 94% more likely to be early adopters of advanced shelf intelligence capabilities.

Joined by Christian Floerkemeier, CTO and Co-Founder of Scandit, the discussion explores how modern shelf intelligence has evolved through advances in computer vision, AI, and hybrid data capture. Together, they explain why relying on a single technology no longer works, and how combining mobile devices, fixed cameras, and autonomous solutions enables retailers to improve on-shelf availability, reduce labor inefficiencies, and support profitable omnichannel fulfillment such as BOPIS and ship-from-store.

Designed for retail leaders across operations, IT, digital transformation, merchandising, and supply chain, this webinar provides strategic insight into why clean, accurate shelf data has become the foundation for AI-driven retail—and why retailers that fail to act risk falling permanently behind as the performance gap continues to widen.