AI adoption in retail product development has undeniably increased production speed, yet many teams are finding themselves paradoxically slower due to a massive, hidden verification burden. Digital experience professionals have seen a significant increase in the time their teams spend reviewing and verifying AI-generated outputs before shipping, with a third identifying this as their number one project bottleneck.

This session explores why retailers are feeling this friction most acutely. We will examine the critical "trust gap" between the teams that believe behavioral data improves AI decision quality and those that are actually using it as a primary input. Join us to learn how leading brands are closing this gap by shifting from manual validation loops to high-trust AI systems that feed real-time behavioral signals into their AI stack. Walk away with a proven framework for boosting AI resolution rates, reclaiming team capacity, and delivering truly intelligent digital experiences.

• Identify the hidden costs of AI: Recognize how the paradox of increased production speed often masks significant, hidden verification burdens that bottleneck retail product development teams.
• Bridge the "trust gap": Understand why utilizing behavioral data as a primary input is critical to improving AI decision quality and reducing the need for manual validation.
• Implement a high-trust AI framework: Learn how to transition from manual, time-intensive review loops to high-trust AI systems by integrating real-time behavioral signals into your AI stack.
• Reclaim team capacity: Acquire actionable strategies to streamline QA processes, allowing teams to shift focus from reviewing AI outputs to delivering enhanced digital experiences.