Machine Learning Techniques in Supply Chain Management: An Exploratory Literature Review

Supply chain processes demand the use of a technology that can handle their growing complexity. Therefore, this study aims to investigate how machine learning techniques contribute to the management of the supply chain, by analyzing the current literature. Using an exploratory literature review methodology, this study analyzes the publications available in scientific databases: Scopus, Web of Science, and Science Direct. We have found 94 references that we extracted and analyzed using three tools: Zotero, NVIVO, and SPSS. We present, in this paper, an analysis of the meta-data, then we discuss machine learning techniques used in the different departments of the company, finally we present the perspectives of our study.