We present a data-driven forecasting technique with integrated inventory control for seasonal data and compare it to the traditional Holt-Winters algorithm. Results indicate that the data-driven approach achieves a 2-5% improvement in the average regret.
Citation
Technical Report, Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA.