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After enrichment runs, each product carries signals that tell you how far it got and how complete its data is. This page covers what to look for, when to re-run enrichment, and why the values you entered yourself are safe. For the shared vocabulary, see Core concepts.

Enrichment status

Every product tracks an enrichment status that tells you where it is in the process — for example, whether it’s still queued, in progress, finished, or ran into a problem. Use it to spot products that haven’t been enriched yet or need attention.

Completeness score

Alongside the status, each product carries a completeness score — a single number that reflects how much of the product’s data is filled in. A higher score means a more complete record; a low score points to a product still missing descriptions, attributes, or other fields. Use it to prioritize which products to review or re-enrich first.
The score reflects completeness, not correctness. A high score means the fields are populated — always spot-check the values themselves.

What “enriched” looks like

A well-enriched product has its descriptive content written, its attributes standardized to your catalog’s values, and identifiers or brand data filled in from the sources enrichment consulted. Because enrichment adds a new version rather than overwriting, the enriched result sits alongside the version you started with — the latest or production-labeled version usually holds the richest data. See Versioning for which version to read.

Re-running enrichment

You can run enrichment again on a product — for example after the brand updates its site, or after new data lands in the lakehouse. Each run adds another version with the freshest merged result, so re-running is safe and never destroys earlier versions.

Your values are protected

Enrichment merges sources by priority — brand site > lakehouse > your input > AI-generated — and the values you entered outrank AI-generated content. That means re-running enrichment won’t quietly overwrite your input with a machine-generated guess: your data is preserved, and enrichment fills the gaps around it.
Because enrichment adds a new version rather than editing in place, the version you started with — including the values you entered — always remains available. See Versioning.

How enrichment works

The steps enrichment runs and how sources merge by priority.

Versioning

Why enrichment adds versions and which one holds the richest data.