Problem Statement

The manufacturer struggled with SKU duplication and inconsistent product data across ERP, PLM, and procurement systems, leading to poor demand forecasting and frequent supply chain inefficiencies.

Key Challenges

• High SKU duplication

  (multiple codes for the same product).

• Inconsistent product attributes

  across ERP, PLM, and procurement systems.

• Supply chain inefficiencies

  due to fragmented product and supplier data.

• Difficulty in forecasting

  demand accurately because of incomplete and inaccurate data.

• Slow new product introductions

  due to manual data governance.

Solution Implemented

• Deployed Semarchy xDM natively : in Snowflake to unify product, SKU, and supplier data.

• Used pushdown-optimized : matching, merging, and validation to identify and eliminate duplicate SKUs.

• Implemented data stewardship workflows via browser-based xDM : interface for business teams to manage Golden Product Records.

• Integrated supplier and product data : from ERP, PLM, and procurement systems into Snowflake for a single trusted source.

• Maintained zero data movement, : ensuring all governance and enrichment occurred within Snowflake.

Business Impact

• Reduced SKU duplication by 40%,

  lowering inventory complexity and procurement errors.

• Improved demand forecasting accuracy

  by 15%, enabling better production planning.

• Achieved smoother supply

  chain operations with consistent product and supplier data.

• Accelerated new product rollout

  by eliminating manual data cleansing delays.
  

• Improved collaboration across

  procurement, supply chain, and manufacturing teams with one Golden Product Record.