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

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.