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Revolutionizing Supply Chains: Harnessing AI for Optimal Efficiency and Unprecedented Resilience

EasyChair Preprint no. 11957

12 pagesDate: February 5, 2024


This paper explores the transformative impact of Artificial Intelligence (AI) on supply chain management, focusing on its role in optimizing operational efficiency and bolstering resilience. The integration of AI technologies, such as machine learning and predictive analytics, empowers organizations to adapt to dynamic market conditions, enhance decision-making processes, and fortify their supply chains against disruptions. Supply chain management (SCM) plays a pivotal role in the success of businesses across various industries. In today's globalized and dynamic marketplace, the effective management of supply chains has become increasingly challenging. This paper explores the integration of Artificial Intelligence (AI) into supply chain management to enhance optimization and resilience. AI technologies, including machine learning, predictive analytics, and robotic process automation, have revolutionized the way companies plan, operate, and adapt their supply chains. By leveraging AI-driven solutions, businesses can streamline their operations, reduce costs, improve forecasting accuracy, and bolster resilience in the face of disruptions. This paper provides an in-depth analysis of AI applications in supply chain management, discusses real-world case studies, and offers insights into the future of AI-driven SCM. This article explores the profound impact of Artificial Intelligence (AI) on supply chain management, with a specific focus on optimization and resilience. In today's rapidly changing business landscape, effective supply chain management is essential for competitiveness.

Keyphrases: Artificial Intelligence, disruption mitigation, learning, machine, operational efficiency, Optimization, Predictive Analytics, Resilience, Supply Chain Management

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {William Jack and Tinaroo Rayon},
  title = {Revolutionizing Supply Chains: Harnessing AI for Optimal Efficiency and Unprecedented Resilience},
  howpublished = {EasyChair Preprint no. 11957},

  year = {EasyChair, 2024}}
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