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Retail Inventory Optimization

A retail chain with 500+ stores struggled with inventory imbalances—some locations overstocked while others faced frequent stockouts.

We implemented an AI-powered inventory management system that uses machine learning to predict demand at the store and SKU level.

The retailer reduced stockouts by 70%, decreased excess inventory by 25%, and improved inventory turnover by 35%.

Smart Retail - Applications - E2E Test Site | My Site