AI-Powered Supplier Data Normalization for Procurement Analytics
Unifying supplier data across ERPs, reducing manual effort, and enabling accurate, scalable procurement insights.
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Is inconsistent supplier data across multiple ERP systems limiting your procurement visibility and decision-making accuracy?
A leading global enterprise, operating across multiple regions, sought to modernize procurement analytics by addressing supplier data inconsistencies. Fragmented supplier records across ERPs led to duplicated identities, limited spend visibility, compliance challenges, and heavy manual oversight.
Anblicks implemented an AI+Rules-driven supplier normalization framework that combined Tax ID matching, ML clustering, and curated business rules to unify supplier identities with ≥98% accuracy. The solution included automated pipelines on Snowflake, dashboards on Power BI, and future-ready integration with ServiceNow for governance workflows.
The result: cleaner supplier master data, stronger alignment between Procurement and Finance, and a scalable foundation for advanced analytics.
Business Impact at a Glance
- 5X reduction in manual effort with automated, repeatable normalization
- 4X increase in supplier data consistency across systems
- Improved spend visibility through unified supplier records across ERPs
- Strengthened compliance with trusted data across Procurement and Finance
- Scalable framework ready for growth, new ERPs, and AI use cases
Download the full success story to see how Anblicks helps enterprises unlock procurement analytics with AI-powered supplier data normalization.