Revolutionizing a Manufacturing Client’s Stock Control Using Forecasting Analytics

A manufacturing client sought to improve its inventory management and reduce excess stock. NAVA provided an AI-driven solution that used predictive analytics to anticipate demand and optimize stock levels.

Our Approach

  • Predictive Analytics: We developed AI models that analyzed historical data to forecast demand and optimize inventory management.
  • Automated Stock Replenishment: NAVA’s solution automated replenishment based on predicted demand, reducing manual intervention.
  • Real-Time Data Integration: Our team integrated real-time data, allowing the system to adjust predictions dynamically.

Results

  • 30% Reduction in Inventory Costs: Predictive analytics helped the client maintain optimal stock levels, reducing carrying costs.
  • Increased Operational Efficiency: Automated replenishment minimized stock outs and reduced time spent on manual inventory adjustments.
  • Enhanced Decision-Making: Real-time insights enabled the client to respond proactively to shifts in demand.