Supply Chain Digital Transformation is urgently needed in light of the profusion of unforeseeable global events, such as political, economic, and climatic changes. Issues like supply shortages, inventory stockouts, supply-demand mismatch, and lack of coordination and transparency are troubling most modern supply chains. This study explores how smart technologies can be better used to accomplish digital transformation across various supply chain stages and stakeholders. In order to provide a comprehensive knowledge base, this paper reviews 210 of the most significant research articles to scientifically examine the relationships between smart technologies and their strategic role in supply chain digital transformation. This is attempted through literature review, bibliometric analysis, descriptive data analysis, and visual representation. The core contribution of this paper is to highlight the untapped potential of supply chain digital transformation, with a special focus on applications of Artificial Intelligence and Machine Learning technologies. Another novelty of this study is a detailed mind map that facilitates visualizing, comprehending, and simulating the broad range of results obtained from the bibliometric study. Research gaps, consequences, and future research directions are also highlighted as a further point of reference for academicians and practitioners.