Gizem Erdinç

Zero-Inflated Neural Demand Model (ZINDM) for Short-Horizon Sparse Demand Forecasting and Behaviour Analysis

Short-horizon demand forecasting for automotive spare parts remains a challenging task due to sparse observations, frequent zero-demand periods, and limited historical data at the customer-product level. While neural forecasting models have shown promising predictive capabilities, their practical adoption in operationa...