Problem Statement

The retailer faced significant inventory imbalances, with frequent stock shortages leading to lost sales and overstocking increasing operational costs. The lack of real-time visibility and reliance on manual allocation processes further hindered efficiency, impacting revenue and customer satisfaction.

Key Challenges

• Inventory shortages

  resulted in lost sales and diminished customer loyalty.

• Excess stock

  led to high holding costs and inefficient warehouse management.

• Limited real-time insights

  into inventory needs across stores and distribution centers.

• Manual allocation processes

  were slow, error-prone, and labor-intensive.

Solution Implemented

• Automated allocation decisions: to align stock levels with actual demand.

• AI-driven inventory optimization : to enhance availability while reducing excess stock.

• Real-time visibility into inventory : across stores and distribution centers through advanced analytics.

• Dynamic allocation strategies: to ensure the right stock at the right location for maximum profitability.

• AI-powered workflows : replaced manual processes, reducing errors and improving efficiency.

Business Impact

• Product availability improved from 71% to 92%,

  ensuring customers found the products they needed.

• Lost sales reduced from 15% to 3%,

  significantly boosting revenue.

• Lowered overall inventory levels,

  cutting holding costs and enhancing operational efficiency.