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
- Step 1:
Input
Supplier categories such as High Bay Fixtures
- Step 2:
AI Based Taxonomy Mapping
Suggest a match to the approved Lighting taxonomy
- Step 3:
Outcome
Hold ambiguous category matches for approval
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