A US discount retailer faced data silos and discrepancies after acquiring multiple stores. Unifying this data was crucial for operational efficiency.
The retailer aimed to consolidate fragmented data, improve data accuracy, and align item hierarchies for better inventory management.
Leveraging AI-driven data consolidation tools, the retailer redefined item hierarchies and established consistent data practices across the enterprise.
The retailer deployed robust data governance frameworks and automated tools, ensuring accuracy and consistency in item classification and inventory data.
The retailer achieved 95% data accuracy, streamlined inventory management, and improved decision-making capabilities, resulting in operational excellence.
The retailer now relies on its enhanced data foundation to drive growth, support customer needs, and adapt to future market dynamics effectively.