The study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine learning techniques. Evaluations focus on...

Accurate demand forecasting is important for automotive manufacturing and sales planning because it allows firms to minimize costs and improve their effectiveness. Based on the limitations of existing literature, this paper seeks to establish a novel machine learning-assisted hybrid-input...