Dwi Hartanti

Residual Learning-Based Hybrid ARIMA–LSTM for Digital Retail Demand Forecasting

The rapid growth of digital retail has increased the need for accurate demand forecasting to support inventory planning and operational decision-making. This study proposes and evaluates a residual learning-based Hybrid ARIMA–LSTM framework for daily retail demand forecasting. A univariate dataset containing 1,826 dail...