Aurum classifies every record into the UNSPSC taxonomy, so procurement spend rolls up to real, standard categories instead of scattering across mislabeled codes.
Category codes that disagree with the real category mean spend never rolls up where it should. Aurum places every record into the UNSPSC taxonomy, so items are categorized consistently and spend can finally be analyzed by real, standard category rather than by inconsistent internal codes.
Every record classified into the UNSPSC taxonomy.
Spend rolls up by real, standard category.
Fixes miscoded categories that scatter spend.
A steward reviews classifications by segment and corrects them.
No AI proposal is published without human approval.
UNSPSC — it classifies every record into that standard taxonomy so spend rolls up by real category.
Yes. Stewards review records by category segment and correct misclassifications in their own domain.
No. No AI proposal is published without explicit human approval.
Turns scattered records into one trusted golden master, with humans in control.
A deterministic engine clusters lines describing the same item and collapses duplicates.
The engine proposes; a data steward reviews, corrects and approves every record.
Full audit trail and source lineage per record, with reversible edits.
See the complete product: problem, features, how it works and deployment.
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