A multinational retail company managing a vast network of stores and warehouses, struggling with stockouts and overstocking issues. ​ 

The client faced high inventory holding costs and frequent stockouts, leading to lost sales and customer dissatisfaction. The existing inventory policies were static and did not adjust dynamically to demand fluctuations.  

We deployed a mathematical optimization model integrating demand forecasting and safety stock calculations. Using stochastic inventory models, we optimized reorder points and order quantities to balance service levels and costs.  

Stock levels were optimized, reducing both excess inventory and stock shortages. Improved forecasting led to better demand management, higher turnover, and more efficient capital use.