APPLICATION OF ARTIFICIAL INTELLIGENCE IN LOGISTICS PROCESSES – A CASE STUDY OF MICHELIN POLAND LTD.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN LOGISTICS PROCESSES – A CASE STUDY OF MICHELIN POLAND LTD.

Summary/Abstract: This article focuses on analyzing the use of artificial intelligence (AI) in logistics processes using the example of Michelin Poland Ltd. The purpose of the paper is to assess the degree of application of AI technology in logistics and its impact on operational efficiency. The research includes a literature analysis, a survey of Michelin employees and an evaluation of the effectiveness of the implemented solutions. The results indicate that the implementation of AI has contributed to improving process efficiency, increasing the quality of work and reducing operating costs. Challenges to AI adaptation were also identified, such as high implementation costs and potential employee layoffs. The analysis confirmed that AI is a key component of logistics management strategies in the context of Industry 4.0, contributing to the company’s competitiveness. The article underscores the importance of sustainably implementing AI technologies to maximize benefits and minimize risks, offering valuable lessons for logistics managers and researchers.

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