Optimizing Supplier Master Data for a Global Fashion Retailer: How Quantzig Achieved 30% Improvement in Data Accuracy

Business Challenge

A leading global fashion retailer struggled with inconsistent supplier master data across multiple regions and systems. The lack of centralized, accurate data led to inefficiencies in procurement, supply chain disruptions, and compliance risks. Suppliers were often duplicated or misclassified, making it difficult to track sourcing history and performance metrics. Additionally, data silos prevented seamless supplier collaboration and hindered decision-making.

Inconsistent supplier data

Data silos & duplication

Manual entry errors

The retailer also faced challenges in maintaining data integrity due to frequent changes in supplier information, manual data entry errors, and a lack of automated validation. These inefficiencies increased operational costs, delayed order processing, and affected vendor negotiations. To drive efficiency and transparency, the company sought a data-driven approach to cleanse, standardize, and govern supplier master data effectively.

How Quantzig Helped

Quantzig implemented a structured supplier master data optimization framework to enhance data accuracy, streamline procurement, and improve supplier management.

1. Data Cleansing & Deduplication : Identified and removed duplicate, obsolete, and inconsistent supplier records.
2. Data Standardization : Created uniform supplier classification and categorization across systems.
3. Automated Data Governance : Established validation rules to ensure real-time data accuracy and compliance.
4. Supplier Performance Dashboard : Enabled real-time monitoring of supplier KPIs for better decision-making.
5. Integration with Procurement Systems : Synchronized master data across ERP and procurement platforms.

With Quantzig’s end-to-end data optimization, the retailer gained a structured, scalable approach to managing supplier data, improving operational efficiency and procurement effectiveness.

Results & Impact

By implementing a data-driven supplier management framework, the retailer achieved a 30% improvement in data accuracy, significantly reducing duplicate and outdated records. Enhanced supplier visibility streamlined procurement, ensuring timely sourcing and better vendor negotiations.

Additionally, manual data errors dropped by 40%, leading to faster processing and cost savings. The integration of automated governance reduced compliance risks, improved contract adherence, and enhanced supplier relationships, resulting in overall procurement efficiency.