A Practical Guide to Structuring Teams, Workflows, and Governance for Agentic Commerce Optimization
AI shopping agents are changing how consumers research, find, and buy products.
For brands and retailers, that creates a new organizational question: who owns how products are evaluated, recommended, and measured across the AI Digital Shelf?
This guide helps commerce leaders structure the teams, workflows, governance, and ownership model required to compete in AI-powered shopping.
Read them in order or jump to the one that matches the problem on your desk this quarter.
Agentic commerce cannot be owned through scattered experimentation. This chapter explains why ACO requires a new operating model, clear ownership, and a repeatable way to act on what your team learns.
Where does your organization stand today? This chapter helps you assess whether your team is in the Explorer, Builder, or Leader stage, and what needs to change across teams, workflows, governance, systems, and measurement.
Who owns ACO, and who needs to be involved? This chapter gives commerce leaders a practical blueprint for defining ownership, aligning disciplines, structuring workflows, and making the operating decisions that matter first.
Run an Agentic Readiness Report on your catalog. See your eligibility, gaps, and the priority work to ground your operating model in real data.