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DATA NORMALIZATION

Transform Inconsistent Data Into a Single Streamlined Format

Suppliers use different ACES and PIES versions, naming conventions, and file structures. Curator unifies all of it into a clean, consistent format tailored to your systems.

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THE PROBLEM
Supplier Data Chaos Is Costing You Time and Revenue

When hundreds of suppliers each use different versions of ACES and PIES standards, different naming conventions, and different file structures, the result is catalog chaos. Your team spends hours manually cleaning and aligning data — often introducing errors in the process — while new products sit waiting to go live.

Data Normalization is at the core of Curator's functionality. It analyzes each incoming file, identifies its schema, and transforms the data into a standardized format that aligns with your specific business requirements. Different field names, attribute formats, and standards versions are all reconciled automatically.

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HOW IT WORKS
From Chaos to Consistency — Automatically

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Schema Detection

Curator automatically identifies whether incoming data uses ACES, PIES, or proprietary formats and determines the exact version and structure being used.

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Field Mapping

Different supplier naming conventions and attribute structures are mapped to your target schema, ensuring every record aligns with your internal standards.

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Output Formatting

Normalized data is formatted to match your ERP, e-commerce, or inventory system requirements — ready for seamless integration with zero manual work.

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CASE STUDY
Wholesale Distributor Overcomes Data Chaos

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THE CHALLENGE

A leading wholesale auto parts distributor was struggling to manage catalog data from hundreds of suppliers, each using different ACES or PIES versions, naming conventions, and update schedules. This inconsistency led to mismatched inventory data, incomplete product listings, and delayed updates to their e-commerce platform. Their internal team spent countless hours manually cleaning and aligning data, often introducing errors and slowing down time-to-market.

THE SOLUTION

The distributor implemented DataPoint's Curator to address these issues. Curator automatically analyzed incoming data from hundreds of suppliers, onboarded and audited the data for consistency month after month. It tailored the data to meet the requirements of their ERP and e-commerce systems, ensuring seamless integration. Nightly audits caught discrepancies, keeping their catalog consistently accurate.

THE RESULTS

Increased Efficiency

Manual data processing time was reduced significantly, freeing up resources for more strategic tasks.

Improved Reliability

Fitment and product listings became error-free, boosting customer confidence and satisfaction.

Faster Time-to-Market

New products were added to the catalog in hours instead of days, enabling quicker sales.

Scalability

The distributor could onboard additional suppliers with minimal effort, driving business growth.

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Ready to Eliminate Data Chaos?

Contact us to see how Curator's data normalization can transform your supplier data into a clean, consistent catalog.

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