Agentic commerce does not browse a shelf, it queries a record. Ask a shopping agent for a zero sugar lemon lime twelve pack under 25 calories and it answers from structured fields. Any attribute missing from the record is a product that cannot be returned.
Three things have to be true at once before a machine can act on a product. The record has to be complete, it has to carry how people actually describe the product, and it has to resolve to a single row.
Every field an agent might filter on, not only the ones a person reads on a shelf. Size, pack count, claims, ingredients, container and origin, filled on every UPC rather than only where a supplier happened to provide them.
How people describe, shop and use the product. Occasions, benefits and use cases that never appear on the pack and are exactly what a natural language query asks for.
A single canonical row per UPC, with retailer, marketplace and internal identifiers mapped onto it. The same product sitting in four systems under four keys is four chances for a query to miss it.
A shopper asks an agent for something specific. Every clause in the question has to land on a field before the product can be returned.
Agent readiness is not a separate product. It is what the record looks like once the catalog underneath it is complete, resolvable and carrying consumer context.
Take the record Harmonya already maintains instead of assembling one, coded to the same definitions every run.
Thirty minutes on your categories. How the attributes get built, and the questions your team could put to them.
