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Glossary term

What is AI Based Taxonomy Mapping?

Definition

AI-Based Taxonomy Mapping uses machine learning to automatically match products to the correct categories, subcategories, and product types. It reduces manual errors, eliminates inconsistent classification, and speeds up catalog onboarding. In PIM, this ensures products are categorised accurately for better search, navigation, and marketplace readiness.

A suggested category still needs to satisfy the destination taxonomy and any confidence rules. For example, an autonomous product data operation could take supplier categories such as High Bay Fixtures, suggest a match to the approved Lighting taxonomy, and hold ambiguous category matches for approval.

AI Based Taxonomy Mapping in an autonomous operation

  1. Step 1:

    Input

    Supplier categories such as High Bay Fixtures

  2. Step 2:

    AI Based Taxonomy Mapping

    Suggest a match to the approved Lighting taxonomy

  3. Step 3:

    Outcome

    Hold ambiguous category matches for approval

A suggested category still needs to satisfy the destination taxonomy and any confidence rules.

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