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Artificial Intelligence Technology Application in Supply Chain Management: Systematic Literature Review
Shafaamri, Asmaa
Shafaamri, Asmaa
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Abstract
The systematic literature review is a basic scientific procedure that enables researchers to see the "lay of the land" in a field. The value of this systematic literature review resides in providing a clear and thorough assessment of the currently available data. Identify any questions that have clear answers based on the evidence and for which further study is not required. As a result, authors can enhance their understanding of the topic of interest, create new research questions, and acquire critical abilities for synthesizing current literature. In a systematic review, research findings are found, assessed, and synthesized to provide a current evidence summary that can support evidence-based practice. This paper used systematic literature to identify the application of artificial intelligence technology in supply chain management. The data was collected from three databases, and several research, inclusion, and exclusion criteria were applied in searching. The inclusion and exclusion criteria were applied to answer the research questions, which sought to identify the supply chain processes that applied artificial intelligence technology and which Artificial intelligence technologies were most commonly used. After applying the search criteria, the review's result indicates that forecasting is one of the most common supply chain processes using AI, and the most common technology used in forecasting is machine learning.