Due to supply chain disruptions caused by successive pandemics and crises, firms face significant hurdles. Strong contingency planning techniques and proactive risk management are necessary to preserve resilience in the current volatile and unpredictable business environment. In this article, we propose a framework based on artificial intelligence, and more precisely, machine learning, to improve the resilience of supply chains. The framework we propose in this paper integrates artificial intelligence and particularly machine learning methods to effectively identify, evaluate, and mitigate risks, for the ultimate goal which is to ensure business continuity, and maintain performance levels during disruptions. Throughout the use of AI technologies, organizations can analyze data and make real-time decisions, therefore reducing the impact of disruptions on their supply chain operations and improving their ability to adapt to changing conditions. Besides the framework, this paper explores the already existing practices in the context of supply chain management and enhancing supply chain resilience.