The Challenge
Supply chain disruptions caused frequent inventory stockouts and overstocking across regional distribution centers.
Our Solution
Built a multi-echelon demand forecasting system combining LSTM recurrent neural networks and Random Forests to predict localized demand spikes with seasonal adjustment.
Business Impact
30%Reduction in Holding Costs
98%On-Time Order Fulfillment
15%Decrease in Stockouts