A systematic review of machine learning in logistics and supply chain management: current trends and future directions

Purpose This paper presents a review of the existing state-of-the-art literature on machine learning (ML) in logistics and supply chain management (LSCM) by analyzing the current literature, contemporary concepts, data and gaps and suggesting potential topics for future research. Design/methodology/... View More