Artificial Intelligence Applications in the Supply Chain: A Narrative-Umbrella Review

作者：Laura Silva-Leyva, Ulises Martínez-Contreras, Arturo Woocay-Prieto, Carlos Ronquillo-Salas · 发表于：Revista de Innovación Sistemática · 年份：2025 · DOI：10.35429/jsi.2025.9.23.1.1.10

Traditional statistical methods present limitations in the face of exponential data growth and the complexity of modern supply chains [SCs]. Artificial Intelligence [AI], with its ability to handle massive data, is gaining relevance. Therefore, it is interesting to understand, based on recent scientific publications, which AI algorithms are gaining importance, as well as their impact on the field. A search was conducted for systematic literature review articles on AI applications in SCs, identifying key areas and algorithms employed, their contributions, and potential future research. The selected articles were in English, had to contain the words "systematic review" in the title, and were due to be published between 2021 and 2025. They highlighted advances in various areas of the supply chain and identified opportunities in topics such as reverse logistics, environmental sustainability, returns automation, and the integration of AI with other technologies.