AI is reinventing the physical store: it reduces customer friction, strengthens on-shelf execution, and simplifies the daily work of store teams, while giving HQ real-time operational visibility across the network.
From product availability to computer vision, from traffic measurement to task automation, this session highlights concrete, measurable, shop-floor-born use cases.
A pragmatic discussion on how retailers move from isolated pilots to large-scale AI deployment, improving customer experience, operational efficiency, and, among other benefits, enabling better activation of levers such as Retail Media.
Pain points addressed:
Consumer: How can retailers reduce major irritants (out-of-stocks, pricing errors, waiting times, unclear paths) and better understand in-store customer behaviour?
Store: How can they reduce repetitive tasks, preserve shelf continuity despite turnover, and help teams execute faster and better?
HQ: How can they industrialise AI across a full network, control cloud costs, guarantee a <12-month ROI, and build a robust data foundation to steer performance?
