Abstract: This study proposes a novel approach to optimizing inventory management in retail companies by integrating a machine learning-based demand forecasting model using the XGBoost algorithm.

Abstract: Analysis and prediction of high-dimensional time series are prevalent in numerous real-world scenarios, such as urban traffic. Traditional methods often struggle with the redundancy and ...