Application of Artificial Intelligence in Logistics Processes: a Case Study of Michelin Poland Ltd.

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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Publication Details

Journal
Olsztyn Economic Journal
Published
2025-03-29
DOI
https://doi.org/10.31648/oej.11114
Primary Topic
Regional Development and Management Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of Artificial Intelligence in Logistics Processes: a Case Study of Michelin Poland Ltd.

Dariusz Racz, Klaudia Kucińska
1 links
Olsztyn Economic Journal
Regional Development and Management Studies
article

Application of Artificial Intelligence in Logistics Processes: a Case Study of Michelin Poland Ltd.

Dariusz Racz, Klaudia Kucińska
article en

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.

Olsztyn Economic JournalVol. 20(1)
University of Warmia and Mazury in Olsztyn (PL)
Openalex Percentile: Top 77%
Regional Development and Management Studies
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