The Role of Artificial Intelligence and Machine Learning in Optimizing Supply Chain Management: a Comparative Study of Developed and Developing Countries

EasyChair Preprint 12902

Abstract

Supply chain management (SCM) plays a crucial role in the success of businesses across the globe. With the rapid advancements in technology, artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools to optimize SCM processes. This paper conducts a comparative study between developed and developing countries to analyze the utilization and impact of AI and ML in SCM optimization. By examining case studies, surveys, and existing literature, the study aims to highlight the differences in adoption rates, challenges faced, and outcomes achieved in integrating AI and ML into SCM practices. Furthermore, the study discusses the potential benefits and risks associated with AI and ML implementation in SCM, considering factors such as infrastructure, workforce skills, and regulatory environments. Insights from this comparative analysis provide valuable guidance for businesses, policymakers, and stakeholders in leveraging AI and ML effectively to enhance supply chain efficiency and competitiveness, irrespective of the country's development status.

Keyphrases: Artificial Intelligence, Optimization, Supply Chain Management, machine learning

@booklet{EasyChair:12902,
  author    = {Bolanle Pamilerin and Shophia Lorriane},
  title     = {The Role of Artificial Intelligence and Machine Learning in Optimizing Supply Chain Management: a Comparative Study of Developed and Developing Countries},
  howpublished = {EasyChair Preprint 12902},
  year      = {EasyChair, 2024}}