Everyone’s talking about agentic commerce. But almost no one is talking about what makes it actually work.
By 2030, McKinsey projects the US alone could see up to $1 trillion in orchestrated revenue from agentic commerce with global projections reaching $3-5 trillion. AI agents are already reshaping how consumers discover, evaluate, and purchase products, compressing days of research into seconds. Deloitte estimates 25% of global e-commerce sales will be enabled by AI agents by the end of the decade.
But here’s what the headlines miss: agentic commerce is a consumer facing outcome. Agentic PXM is the operational engine that powers it.
In this thought leadership session, we’ll break down the critical difference between these two concepts and explain why the brands winning in the age of AI aren’t just optimizing for agents on the outside, they’re fundamentally redesigning how product experiences are created, managed, and optimized on the inside.
You’ll learn:
- What agentic commerce is and isn’t. How AI agents acting on behalf of consumers are reshaping discovery, comparison, and purchase, and why BCG warns that “without intervention, retailers risk being reduced to background utilities in agent-controlled marketplaces”
- Why agentic commerce creates a new dependency on product data. As Syndigo CEO Simon Angove and CPO Tarun Chandrasekhar have articulated: “Everyone wants agentic commerce. Nobody has the data to get there.” The three infrastructure gaps: universal APIs, multi merchant carts, and standardized product data, are the real blockers, and only one of them has been quietly building for decades
- What Agentic PXM is and how it’s different. Agentic commerce is what happens in the market. Agentic PXM is what happens inside your organization. It’s the shift from static, human driven product workflows to AI led orchestration with human oversight where coordinated agents handle enrichment, validation, syndication, and optimization across the full product lifecycle
- The maturity journey from AI assisted to agentic. Most teams today are at the “AI assisted” stage using tools to speed up individual tasks like content generation or attribute mapping. Agentic PXM introduces a fundamentally different model: coordinated agents that execute multi step workflows, adapt as conditions change, and continuously improve while humans provide direction where it matters most
- What this means for your 2026 roadmap. Practical steps to move from experimentation to execution, including how to assess your organization’s AI readiness and where agentic workflows can deliver the fastest operational impact
The bottom line: The brands that win in the age of agentic commerce won’t just be visible to AI agents. They’ll be the ones whose product operations are already running on an agentic model faster, more accurate, and always improving. This session will show you what that looks like and how to get there.
Who should attend: Ecommerce leaders, product data managers, digital shelf teams, IT/operations leaders, and anyone responsible for getting products to market faster with better quality and consistency.