Every AI company can demo intelligence. Very few can convert it into revenue. As agentic AI accelerates into retail, most product teams are optimising for capability not for the realities of how buying decisions are actually made. The result is a growing gap between what works in controlled environments and what succeeds at the point of sale. For Chief Product Officers, this is a product strategy problem. Winning in retail requires more than powerful models it demands products designed around decision journeys, commercial constraints, and the complex dynamics of trust, timing, and integration within the buying process. Drawing on experience scaling billion-dollar omnichannel P&Ls at Walmart and leading global product portfolios at Circana, this session unpacks why standardised approaches to agentic AI continue to fall short and what CPOs must do differently. Attendees will leave with a clear framework for building AI products that don’t just perform in demos, but win in-market: aligning product, sales, and retail partners from day one, designing for real purchase environments, and creating solutions that survive beyond the pilot to drive sustained revenue.