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Artificial Intelligence (AI) has the potential to revolutionize various aspects of business operations. AI can be used to analyze data and make predictions about demand, optimize logistics and transportation routes, and identify inefficiencies in the supply chain. This can lead to improved responsiveness to changes in demand, reduced lead times, and lower costs. This paper reviews and analyzes the applications of AI in supply chain management (SCM) using the Scopus database. The objective is to address the current research gap of AI’s impact on the performance of SCM, determining the AI techniques that can enhance the performance of SCM, the SCM subfields that have high potential to be enhanced by AI, the impact of AI application on the performance of SCM, and how the performance can be described in agile-lean perspective. Scopus database was utilized to outline and identify the active countries/regions in the field of AI impact on SCM performance, subject area, and type of documents.
Baha M. Mohsen (Sun,) studied this question.
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