Enhancing Stock Control for a Retail Logistics Client

A retail supply chain client struggled with stock outs and excess inventory. NAVA implemented predictive analytics and automated inventory management, ensuring optimal stock levels and reducing manual errors.

Our Approach

  • AI-Driven Demand Forecasting

    • Integrated predictive analytics to analyze sales trends, seasonal demand, and customer behavior.
    • Enabled automated stock replenishment, reducing the risk of understocking or overstocking.

  • Automated Inventory Tracking

    • Implemented RFID and barcode scanning for real-time stock updates.
    • Ensured seamless warehouse-to-store visibility to optimize inventory distribution.

Results

  • 25% Reduction in Stockouts: Predictive analytics improved demand forecasting, ensuring products were available when needed.
  • Reduced Inventory Holding Costs: Optimized inventory levels led to lower storage and holding costs.
  • Streamlined Order Fulfillment: Automated inventory processes reduced manual intervention, enabling faster order fulfillment.