Complexity and uncertainty along supply chains can be made more manageable through data-driven processes. Artificial intelligence (AI) methods in particular can be used to analyse large amounts of data from companies. As a result, a strategic supply chain risk management can be set up to monitor various sources of risk. In this context, this article provides a systematic overview of the possible applications of AI methods.