What the term really means
A commerce model in which an AI agent supports or performs product search, comparison, selection and purchase.
How it works in practice
A shopping agent may compare variants, availability and delivery terms, but its choice must not obscure price, seller identity or return conditions.
The decision to make before implementation
A merchant must choose the product source of truth and decide whether an agent may recommend, add to cart or also initiate payment.
How to verify that it works
Review recommendation relevance, cancellations, returns, price and stock accuracy, and cases where the selected item missed the customer intent. Compare results with an agreed baseline and review routine cases, difficult exceptions and human hand-offs separately. A practical Agentic Commerce test should have an owner, a review date and a recorded example of an outcome the team will not accept.
The PAR HOUSE Agency approach
We approach Agentic Commerce from the workflow rather than a tool demonstration. A merchant must choose the product source of truth and decide whether an agent may recommend, add to cart or also initiate payment. We then build a small measurable scope, record assumptions and expand only after quality review.
