Date of Publication :17th January 2024

Abstract: The term artificial intelligence (AI) originated in the 1950s as part of a project to artificially simulate and reproduce human brain processes, which, like many other projects, failed. More recently, however, in the 2000s, the term encompasses a much broader approach to the application of digital processing technologies to all aspects of individual and collective life, from the most intimate to the social, economic, learning, cultural, political, communication, and so on.
Indeed, the digital transformation of the logistics chain represents the most important evolution of the sector and remains a crucial issue for many transport players. In a highly competitive market, an efficient and flexible supply chain is a real asset. Companies are therefore looking for tools to optimize their processes and support decision-making in order to improve operational efficiency and customer satisfaction and reduce economic and environmental costs. This article aims to show that artificial intelligence is a powerful tool for logistics players, as it is able to intervene in all stages of the supply chain: from design to delivery of the product to the end customer. Given this emerging logic, it is interesting to ask what potential AI techniques can be used in supply chain management (SCM) research?

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