Matt Large

With retail sales flattening, volumes declining and retail confidence still in negative territory, CDOs are being asked to deliver AI-led growth without much top-line tailwind. This panel unpacks how data leaders secure funding, prioritise ruthlessly, and influence the C-suite in a squeezed retail environment.

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.

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.