International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

The Integration of AI and Machine Learning in Supply Chain Optimization: Enhancing Efficiency and Reducing Costs

Author(s) Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya afrin Priya, Nishat Margia Islam
Country United States
Abstract One of the biggest issues today is the increasing intricacy of supply chain networks and supply chain networks becoming more global. Following is the research paper on supply chain management accompanying the integration of AI & ML for effectiveness & efficiency & reduction of cost impacts. The purpose of the research is to assess the effectiveness of adoption of Artificial Intelligence and Machine Learning tools based on predictive analytics, automation, and real-time decision models with supply chain management tendencies in demand forecasting, inventory control, and logistics. In line with the research design that is mixed method, the data were obtained from high-impact case studies and industry reports with further support from the literature review. The usefulness analysis of AI and ML was conducted in line with the supply chain performance measures that include lead time, cost and system metrics for the actual implementation. The results suggest that the application of AI and ML leads to the key performance improvement in companies, such as an average of 20% decrease in operational costs and 15% shorter delivery times. The study will also provide a new understanding of the real world incorporation of AI and ML in supply chain and a path forward in the literature and practice. These technologies reveal the development prospect of how these supply chains can be rebuilt to be more robust as well as flexible.
Keywords AI, Machine Learning, Supply Chain Optimization, Efficiency, Cost Reduction
Field Engineering
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-26
Cite This The Integration of AI and Machine Learning in Supply Chain Optimization: Enhancing Efficiency and Reducing Costs - Syed Kamrul Hasan, MD Ariful Islam, Ayesha Islam Asha, Shaya afrin Priya, Nishat Margia Islam - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28075
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.28075
Short DOI https://doi.org/g5kns7

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