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The recent pandemic has limited vehicle movement and disrupted the overall efficiency of supply chain networks. Consequently, the idea of supply chain resilience has drawn a lot of interest from scholars and industry professionals. Businesses must focus on safeguarding and enhancing their market position to avoid disruptions. This study emphasizes how crucial supply chain resilience is becoming, particularly in response to the pandemic, globalization, and technological advancements. It examines how Supply chain efficiency could be enhanced by artificial intelligence (AI) performance, financial management, and risk mitigation. The research offers insightful information about the effects of AI and provides actionable recommendations for improving supply chain operations. Procurement, Production, Inventory Management, Distribution, Transportation. Evaluation Preference: ANN, Rough set theory, Machine Learning, Expert System. The results Distribution achieved the highest rank, while Production received the lowest rank being attained.
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Suresh Pandipati (2025) studied this question.
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