DATA GOVERNANCE TO AI: NAVIGATING RETAIL'S DATA CHALLENGES
8-9 July 2026 | Hilton Syon Park, London
Agenda Day 2
8:00 am - 8:30 am
EVENT REGISTRATION & COFFEE
8:30 am - 8:40 am
OPENING ADDRESS FROM THE CHAIR
8:40 am - 9:25 am
PANEL DISCUSSION: ENABLEMENT VS. EFFICIENCY: THE TWO‑SPEED STRATEGIC ROADMAP
Retailers need efficiency gains immediately while simultaneously building AI fluency for the long term. Examine how and why other data leaders structure a two‑speed roadmap: fast‑moving automation data products for cost, and capability‑building enablement pathways for scale. Hear how value gates, councils, and disciplined backlogs prevent shiny‑object waste while improving margin impact.
• Understand and contrast different enablement and automation pathways for data teams.
• Discover how our panellists are identifying quick‑win POCs and readiness criteria.
• Explore build councils, demand‑shaping, and value‑gating mechanics.
• Expand into the murky territory of scaling pilots into enterprise capabilities that improve margin.
9:25 am - 9:55 am
CASE STUDY PRESENTATION: DRIVING REAL RESULTS WITH AI IN LUXURY RETAIL: FROM GAMIFICATION TO REAL-WORLD STAFF ENGAGEMENT
10:00 am - 10:30 am
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
10:35 am - 11:05 am
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
11:10 am - 11:40 am
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
10:00 am - 10:30 am
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
10:35 am - 11:05 am
CASE STUDY THINK TANK: THE JOURNEY FROM DATA MESH TO ROI
Global retail organisations are accelerating their data journeys by leveraging modern architecture, automation and skill development. Explore strategies to bridge business and technology and unlock new ROI generating opportunities through real-world use cases.
• Discuss different approaches to implementing and scaling data mesh across diverse business units for agility and autonomy.
• Find out what leveraging AI-driven automation to improve operational efficiency and customer analytics means in this context.
• Develop a step-by-step roadmap to partnership models - bridge the gap between business and technology.
11:10 am - 11:40 am
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
11:45 am - 12:30 pm
THE RETAIL DATA & AI WAR ROOM 90 DAYS TO A TRADING UPLIFT: A FRONTLINE COMMAND LAB FOR RETAIL DATA LEADERS
Join a team and read your assigned realistic scenario that unfolds over the 90‑day simulation. Each scenario will challenge you to make rapid, data‑driven decisions, apply AI tools, and coordinate across functions. The war room is designed as a collaborative command lab—you will debate and prioritise, to turn data into decisive frontline action.
Welcome to the war room, Commander. You are stepping into the shoes of the data leader of RetailCo, a fictional (but uncomfortably familiar) retailer in commercial freefall. Trading has slipped, key categories are underperforming, media spend is not converting, stockouts are spiking, and nobody trusts the numbers—because they should not. Your mission is to lead the data, analytics, and AI response that pulls RetailCo out of the fire within 90 days. You will use signal intelligence, data products, AI, rapid modelling, and cross-functional decision frameworks to stabilise the business, unlock margin, and restore confidence. What you choose to fix, or ignore, determines RetailCo’s fate.
12:35 pm - 1:05 pm
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
1:05 pm - 2:05 pm
NETWORKING LUNCH
2:05 pm - 2:35 pm
ONE-TO-ONE BUSINESS MEETINGS & NETWORKING
2:05 pm - 2:35 pm
THE DATA-DRIVEN SOLUTIONS INITIATIVE: USE NEXT-GEN DATA AND AI SOLUTIONS TO SOLVE PRICING STRATEGY PROBLEMS.
This session is a collaborative problem-solving think tank. Bring your own pricing challenge to the table for peer-to-peer exchange, rapid experimentation, and collective solution-building—no scripted scenarios, just the toughest pricing realities tackled head-on.
In a market defined by fragile consumer confidence, aggressive price competition, the threat of agent-to-agent retail and uneven AI maturity, data leaders face a new generation of pricing challenges that traditional models and rules simply can’t solve. This session puts you in the driver's seat to tackle the hardest data-driven pricing problems still blocking margin gains.
• Deep-dive into shared unsolved pricing problems alongside peers, examining data gaps, model behaviour, failure patterns, governance bottlenecks, and country-by-country complexity.
• Break down why these issues persist and what you plan to do next to build a pricing architecture that delivers speed and protects profit.
• Trade experiments, lessons, what worked, and what absolutely didn’t, and where agentic or AI-augmented pricing shows real promise.
2:40 pm - 2:45 pm
LIVE POLLS
2:45 pm - 3:15 pm
PLENARY PRESENTATION: FROM INSIGHT DECKS TO REVENUE STREAMS: MONETISING RETAIL DATA WITH PARTNERS
As consumption remains sluggish and retailers search for new profit pools, monetising data with retail media, brands, marketplaces, and fintechs is back at the top of the agenda. This session unpacks joint value stories that suppliers pay for. Understand why macro headwinds make predictable, high-margin data income so attractive right now.
• Discover successful models, category insights, media audiences, store trials, and pricing experiments.
• Explore governance, pricing, and privacy guardrails that keep shopper trust intact.
• Expand on frameworks for prioritising and launching new monetisation offerings
3:15 pm - 4:00 pm
PANEL DISCUSSION: WINNING THE BATTLE OF THE AGENTS: HOW RETAIL BRANDS CAN EARN THE FIRST RECOMMENDATION IN AGENT-TO-AGENT COMMERCE
As LLM agents increasingly mediate shopping decisions, “agent visibility” becomes a new competitive front. This session explores how CDOs build structured content, schemas, trust signals, and guardrails that make brands easier for machines to understand—and recommend first. Join the panellists in a heated debate and examine how agent-ready data products create commercial uplift in a margin-pressured landscape.
• Understand what agent-to-agent commerce could mean for retail discovery.
• Discover how peers plan to test and measure their brand’s LLM visibility.
• Explore how panellists recommend to structure content, attributes, and proofs for agent parsing.
• Hear how to build teams, KPIs, and processes for ongoing agent optimisation.
4:00 pm - 4:05 pm
CHAIRPERSON’S CLOSING REMARKS
