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USE CASE / CATALOG ENRICHMENT

A richer catalog. A clearer standard.

Turn inconsistent product descriptions into a shared attribute vocabulary, with explicit rules for what can be inferred.

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THE STARTING POINT

A real workflow.
A focused experiment.

A merchandising team needs consistent filters across supplier descriptions. Begin with a few high-value attributes and leave unknown values empty rather than guessing.

ILLUSTRATIVE EXAMPLE · NOT A LIVE MODEL OUTPUT

Normalize the attributes in “Navy cotton crew-neck tee, size medium”.

{
  "color": "navy",
  "material": "cotton",
  "neckline": "crew",
  "size": "M"
}
THE WORKFLOW

Make the task repeatable.

01

Define the vocabulary

Choose supported attributes and canonical values that fit your catalog.

02

Map representative examples

Cover abbreviations, synonyms, missing details, and conflicting descriptions.

03

Validate the output

Compare normalized values with reviewed labels and inspect unsupported attributes.

WHAT TO CHECK

Measure the details
that matter.

KEEP EXPLORING

Other specific problems.

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START WITH ONE SPECIFIC PROBLEM

Build. Evaluate.
Improve.

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