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

Dariusz Racz () and Klaudia Kucinska ()
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Dariusz Racz: Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn
Klaudia Kucinska: Faculty of Economic Sciences, University of Warmia and Mazury in Olsztyn

OLSZTYN ECONOMIC JOURNAL, 2025, vol. 20, issue 1, 5-16

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.

Keywords: logistics management; digital transformation; automation; operational efficiency (search for similar items in EconPapers)
JEL-codes: L91 M11 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ole:journl:v:20:y:2025:i:1:p:5-16

DOI: 10.31648/oej.11114

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