This paper aims to analyze and review the most recent scientific literature regarding the implementation of Machine Learning (ML) in Supply Chain Management (SCM). Moreover, an examination was conducted to find out what areas and industries were addressed in the use cases, and how ML may impact SCM. A Systematic Literature Review (SLR) was conducted for this purpose. It was found that the applied examples mainly used ML's prediction capabilities, and some industries such as health care and logistics were the main focus areas. Then, discussions were developed based on the results of the systematic literature analysis, which can be used as motivation for future research.