Artificial Intelligence in Supply Chain Management: A Systematic Literature Review and Guidelines for Future Research

Artificial intelligence (AI) has been considered an important enabler of supply chains (SC), as it helps to monitor SC competitiveness and management. Thus, AI has been gaining notability in management. However, no academic manuscript offers a detailed study of specific artificial intelligence techniques. Indeed, several existing reviews in this field provide considerable insight, but are often too general. To address this issue, we conducted a systematic literature review that aims to provide solid and relevant foundation, targeting the artificial intelligence techniques that are most prevalent in supply chain management. This research identified the main artificial intelligence technics in the field of supply chain management, namely, artificial neural networks, fuzzy logic and genetic algorithm, although other topics have emerged as well, such as sustainability, environment, big data, and automatization. We recognize that AI plays an important role in SCM and how beneficial it is to use it while being considered risky at the same time. Addition-ally, we disclose how beneficial AI techniques are, since when used together they allow using fewer resources to obtain optimal results in SCM. Future research should examine how the application of artificial intelligence techniques may differ across organizations of different sizes.