James Brooke, Mapp's CEO, presented the Gemma platform, focusing on enhancing e-commerce experiences through AI-driven insights. The discussion emphasized the importance of bridging semantic gaps in fashion retail, enabling better product recommendations based on shopper intent. A knowledge graph created by Gemma organizes implicit knowledge about fashion, enabling agents to provide personalized suggestions. The platform allows retailers to customize their offerings based on regional and cultural variations in consumer language and preferences. The meeting included a Q&A session addressing concerns about consistency in recommendations and the incorporation of user-specific features.

Most eCommerce traffic arrives without a login or customer profile. Retailers still need to convert those sessions, but broad promotions often give away margin to shoppers who would have purchased anyway. Exchange Solutions will demonstrate how ES Engage, an AI-driven Offer Agent for eCommerce, makes real-time offer decisions using current-session behavior, with no PII or identity resolution required. What the live demo covers Exchange Solutions shows ES Engage on FootLocker.com, showing how the Offer Agent evaluates in-session behavior, decides when to stay silent or present an offer, and determines the minimum effective incentive for each session. The demo will illustrate how retailers can move from broad promotions to precise, session-specific offer decisioning, without replatforming or relying on identity resolution. The Foot Locker use case will show how this approach can protect margin, brand standards, and promotional discipline while driving measurable growth.

Fashion retail inventory management is still largely reactive: rigid allocation rules, slow replenishment cycles, and transfers that happen after markdowns have already hit. The result is missed sales, excess stock, and decisions made too late. WAIR will show how Wallie applies agentic AI to that problem. Wallie is an autonomous inventory agent built for Heads of Merchandise managing anywhere from 10 to 1,000+ shop floors. It handles the full inventory lifecycle - initial allocation, daily replenishment, stop-replenishment, and proactive mid- and end-season transfers - without waiting for a human to catch the signal first. What the demo covers In this session, the WAIR team will demo Wallie live: one capability, one use case, real deployment data. NEW: More time for discussion We’ve updated the Show & Tell format to make more room for discussion: about 10 minutes of live demo, followed by 20 minutes of Q&A. Come with questions about agentic architecture, implementation, governance, or how this fits into a composable retail stack.

The Uniform team introduces Scout, its native AI agent designed to operate across the full composable DXP through natural language commands. The discussion covers how a platform-wide agent can support design, development, content, and optimization workflows, while maintaining governance and control. The team also walks through Scout’s MCP capabilities and shows how agentic workflows can help digital teams accelerate delivery and improve marketing autonomy.