Artificial Intelligence in Enhancing Operational Efficiency in Logistics and SCM
DOI:
https://doi.org/10.32628/IJSRST24115107Keywords:
Artificial Intelligence, Supply Chain Management, Demand Forecasting, Route OptimizationAbstract
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.
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AI Applications for Improving Transportation and Logistics Operations Amrish Solanki1, Shrikaa Jadiga2 (2024) https://www.researchgate.net/publication/379901056_AI_Applications_for_Improving_Transportation_and_Logistics_Operations
Artificial intelligence in logistics and supply chain management: A primer and roadmap for research, Robert Glenn Richey jr, Soumyadeb Chowdhury(2023) https://onlinelibrary.wiley.com/doi/full/10.1111/jbl.12364
Impact of Technology on Logistics and Supply Chain Management Rajiv Bhandari (2024) https://www.iosrjournals.org/iosr-jbm/papers/7th-ibrc-volume-2/17.pdf
Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review by Abderahman Rejeb, Karim Rejeb Steve Simske and Horst Treiblmaier (2021) https://www.mdpi.com/2305-6290/5/4/72 DOI: https://doi.org/10.3390/logistics5040072
The evolution and future of logistics and supply chain management Ronald H. Ballou (2007) https://www.scielo.br/j/prod/a/MFgkvJ5HcbtHbHVdn9WCzws/
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