Achieving high sustainability levels within supply chains is essential for addressing global environmental challenges and meeting international sustainability goals. This literature review explores the application of Machine Learning (ML) and Artificial Neural Networks (ANN) in promoting Sustainable Supply Chain Management (SSCM). The study systematically analyzes current research to assess the role of ML and ANN in optimizing the triple-bottom-line (economic, environmental, and social) sustainability of supply chains across various industries. This review provides valuable insights for practitioners by offering guidelines on implementing ML and ANN technologies to achieve more sustainable supply chains. It also serves as a roadmap for scholars, outlining potential research avenues to address current gaps and contribute to the development of a holistic and sustainable SSCM framework.