Use of Generative AI in Logistics – Case Study of Croatia

Maja Trstenjak (), Vanina Macowski Durski Silva, Biljana Cvetić, Bernhard Axmann, Goran Đukić and Tihomir Opetuk
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Maja Trstenjak: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Vanina Macowski Durski Silva: R. Eng. Agronômico Andrei Cristian Ferreira, s/n – Trindade, Federal University of Santa Catarina
Biljana Cvetić: The Technical University Ingolstadt of Applied Sciences
Bernhard Axmann: University of Belgrade, Faculty of Organizational Sciences
Goran Đukić: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Tihomir Opetuk: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture

A chapter in Proceedings of the International Conference on Industrial Logistics (ICIL) 2025, 2026, pp 58-65 from Springer

Abstract: Abstract This paper explores the current state of generative artificial intelligence (GenAI) adoption in the logistics sector in Croatia. With the rapid global development of tools such as ChatGPT, Microsoft Copilot, and other AI-enhanced systems, this study investigates how logistics professionals in Croatia are engaging with these technologies in their daily work. A structured 19-item questionnaire was distributed to 552 professionals, yielding 23 valid responses. The survey examined the use of both general-purpose GenAI tools and specialized office-based applications, along with broader automation practices. Results indicate that while overall usage and satisfaction levels remain low, there is a growing awareness and strong intent to adopt GenAI tools in the near future. These findings provide a valuable foundation for understanding the early stages of GenAI integration in Croatian logistics and offer guidance for future research, policy, and industry initiatives aimed at supporting digital transformation.

Keywords: Generative AI; logistics; Industry 5.0; Logistics 5.0 (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-032-14489-8_6

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DOI: 10.1007/978-3-032-14489-8_6

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