Product Master Data Deduplication

Product Master Data Deduplication uses AI to identify and merge duplicate product records across ERP, PIM, and e-commerce systems, enabling a single authoritative product master, by comparing attribute combinations, descriptions, and identifiers to surface likely duplicates for human confirmation, across product master data management workflows.

Organisations with multiple ERPs, acquired product lines, or parallel e-commerce platforms accumulate duplicate product records that carry different descriptions, costs, and specifications for the same physical product. Duplicates cause procurement overspend, incorrect inventory counts, and inconsistent customer-facing product data.

The AI compares product records across systems using attribute similarity (description, SKU patterns, dimensions, weights, supplier codes) and flags likely duplicates with a confidence score. A data steward reviews high-confidence matches and confirms the merge; lower-confidence pairs are queued for manual investigation.

Duplicate product record rate decreases; time to complete a product master data cleanse cycle decreases.

• •Product records from all source systems are extracted into a staging area with a consistent attribute schema.
• •A data steward team and review process exist to confirm or reject proposed matches before merge.
• •The target MDM or PIM platform supports batch merge operations.