A shopping agent that always returns a complete answer is not necessarily useful. In commerce, completeness can be a warning sign.
Product pages are uneven. A listing may state price, stock, return terms, handling time and a delivery estimate while omitting exact dimensions, compatibility, maximum load or included accessories. A human buyer usually notices the gap and asks a follow-up question. A language model may instead complete the pattern from similar products and present the inferred value with the same confidence as a seller-declared fact.
The difficult part of AI commerce is therefore not only retrieval. It is preserving provenance and uncertainty through the entire decision process.
Three classes of product facts
An agent-facing product record should distinguish at least three classes:
