https://czasopisma.uwm.edu.pl/index.php/oej <p>"Olsztyn Economic Journal" is a scientific journal, published in English by the Faculty of Economic Sciences of the University of Warmia and Mazury in Olsztyn. It publishes scientific papers of methodical, review and empirical nature in the field of social sciences (discipline economics and finance, as well as management and quality studies). The first issue of the journal was published in 2006. From 2007 to 2012 the journal was published semi-annually and from 2013 to 2020 was published quarterly. From 2021 the journal is again published semi-annually. The electronic edition is the primary version of the Journal. <a href="https://czasopisma.uwm.edu.pl/index.php/oej/about">(more)</a></p> Uniwersytet Warmińsko-Mazurski w Olsztynie en-US Olsztyn Economic Journal 1897-2721 <p>An Author declares that his paper has not been published before (under the same or another title, or is a part of another publication) and does not infringe copyrights of other persons**. At the same time, the Author transfers to the Publisher the exclusive right to publish and to circulate this work in print in the form of a non-serial journal publication and in a form of an electronic publication.</p> <p><a href="https://czasopisma.uwm.edu.pl/pliki/oej/authors_statement.doc">Author's statement</a></p> <p><strong>The journal is available on Creative Common license&nbsp;CC-BY-NC-ND</strong></p> <p><strong><img src="/public/site/images/wwierzbicka/licencja_znaczek1.png" width="152" height="53"></strong></p> https://czasopisma.uwm.edu.pl/index.php/oej/article/view/11114 <p>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.</p> Dariusz Racz Klaudia Kucińska Copyright (c) 2025 Olsztyn Economic Journal http://creativecommons.org/licenses/by-nc-nd/4.0 2025-03-29 2025-03-29 20 1 5 16 10.31648/oej.11114