Industrial · Data Enrichment

Product Data for ERP Modernization

How a PE-owned industrial manufacturer standardized and enriched fragmented product data across tens of thousands of SKUs to deliver a better customer experience.

Time to value: 4 weeks

Problem

The new ERP needed clean data the business didn't have

The client was migrating to a new ERP to deliver an Amazon-like ordering experience. But their product data was too fragmented to support it — missing attributes, inconsistent units of measure, and no standardization across tens of thousands of SKUs.

Manual cleanup was infeasible at that volume, especially with thin in-house data expertise. Without a fast path to standardized, enriched product records, the modernization the ERP promised would stall before go-live.

Approach

From freeform descriptions to a structured catalog

Four passes took the catalog from inconsistent freeform text to complete master data: standardize the attributes, organize them, fill the gaps, and hold the quality.

Structured attributes from freeform text

AI reads unstructured product descriptions and extracts them into a clean, normalized attribute model — the same field carrying the same meaning across every record.

A product hierarchy from semantic meaning

Semantic analysis groups items by what they actually are, building a coherent category structure the business can navigate, search, and filter.

Complete records, beyond any single source

Missing values are inferred and filled from third-party data and trusted context, taking each record past what the source systems alone could hold.

A quality gate in front of the system of record

A data-quality layer validates every record against the standard before it lands downstream, and keeps watching as new data arrives.

Outcome

A go-live-ready catalog in four weeks

4 wks

Time to value

10k+

SKUs enriched

100s

Manual hours avoided

No hand attribute-tagging or manual validation, even across tens of thousands of records.
A more complete, customer-ready catalog than manual enrichment could have produced.
The intuitive search and filtering the ERP and e-commerce systems were meant to support.
A governance foundation that keeps future data clean and standardized.

The same approach travels well past this catalog. Profiling, standardizing, and enriching against a governed model is how fragmented product data becomes clean enough to migrate onto, search across, and sell from — wherever it lives.

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