Artificial Intelligence in Enhancing Operational Efficiency in Logistics and SCM
Artificial Intelligence in Enhancing Operational Efficiency in Logistics and SCM
Thenmozhi. V,Dr. S. Krisknakumari
TLDR
This study highlights how AI automates processes, improves demand forecasting, optimises inventory management, and enhances route planning, and explores AI’s impact on predictive maintenance and customer experience through real-time tracking and chatbots.
Abstract
This study examines the role of Artificial Intelligence (AI) in enhancing operational efficiency in logistics and supply chain management (SCM). It highlights how AI automates processes, improves demand forecasting, optimises inventory management, and enhances route planning. The research also explores AI’s impact on predictive maintenance and customer experience through real-time tracking and chatbots. By leveraging advanced algorithms, organisations can achieve greater accuracy, reduce costs, and increase flexibility, gaining a competitive advantage in the market. The findings provide valuable insights for practitioners and researchers on the strategic opportunities presented by AI in logistics and SCM.
