Effect of artificial intelligence and automation on the supply chain

Authors

  • Marko Galić Agria d.o.o., Osijek, Croatia
  • Tomislav Horvat Dilj d.o.o., Vinkovci, Croatia
  • Ana Marić Bogdanovci municipality, Bogdanovci, Croatia

DOI:

https://doi.org/10.32015/JIBM.2025.17.2.4

Keywords:

Artificial Intelligence, automation, supply chain management

Abstract

Artificial Intelligence (AI) and automation have become transformative forces in global supply chain management, fundamentally reshaping how organizations plan, produce, and deliver goods and services. This paper examines how AI driven technologies, machine learning, robotics, predictive analytics, and the Internet of Things (IoT) improve efficiency, resilience, and sustainability across supply networks. The study identifies AI’s critical role in optimizing logistics operations, forecasting demand, and managing risks through data‐driven decision-making. The analysis highlights both the advantages of AI implementation, greater accuracy, cost reduction, and enhanced agility and its challenges, including data integration, ethics, high investment costs, and workforce adaptation. The paper concludes with recommendations for strategic adoption of AI and automation to ensure competitiveness and sustainability in the evolving digital economy.

References

Chen, Y., Du, L., Zhang, B., Wang, L., Wang, K., Huang, X., & Shi, Y. (2025). The impact of artificial intelligence on the sustainability of international trade enterprises. International Review of Economics & Finance, 104136. https://doi.org/10.1017/9781009407847

Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of artificial intelligence in automation of supply chain management. Journal of Strategic Innovation and Sustainability, 14(3), 43-53. https://doi.org/10.33423/jsis.v14i3.2105

Ivanov, D. (2023). The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695. https://doi.org/10.1080/00207543.2022.2118892

Ivanov, D., & Dolgui, A. (2019). Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience. International Journal of Production Research, 57(15-16), 5119-5136. https://doi.org/10.1080/00207543.2018.1521025

Ledro, C., Nosella, A., & Vinelli, A. (2022). Artificial intelligence in customer relationship management: literature review and future research directions. Journal of Business & Industrial Marketing, 37(13), 48-63. https://doi.org/10.1108/JBIM-07-2021-0332

Lindholm, T. (2025). AI-powered ads: brand loyalty, trust, & ethical impact. [Master's thesis, Lappeenranta-Lahti University of Technology LUT]. https://lutpub.lut.fi/bitstream/handle/10024/169292/Mastersthesis_Lindholm_Teemu.pdf?sequence=1

Shamsuddoha, M., Khan, E. A., Chowdhury, M. M. H., & Nasir, T. (2025). Revolutionizing supply chains: unleashing the power of AI-driven intelligent automation and real-time information flow. Information, 16(1), 26. https://doi.org/10.3390/info16010026

Smyth, C., Dennehy, D., Fosso Wamba, S., Scott, M., & Harfouche, A. (2024). Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda. International Journal of Production Research, 62(23), 8537-8561. https://doi.org/10.1080/00207543.2024.2341415

Stradner, S., & Brunner, U. (2020). Impact of digitalization on logistics provider business models. In Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 29 (pp. 911-938). Berlin: epubli GmbH. https://www.econstor.eu/bitstream/10419/228943/1/hicl-2020-29-911.pdf

Zeb, S., & Lodhi, S. K. (2025). AI for predictive maintenance: Reducing downtime and enhancing efficiency. Enrichment: Journal of Multidisciplinary Research and Development, 3(1), 135-150. https://doi.org/10.55324/enrichment.v3i1.338

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Published

2025-11-28

Issue

Section

Professional article

How to Cite

Galić, M., Horvat, T. ., & Marić, A. (2025). Effect of artificial intelligence and automation on the supply chain. Mednarodno Inovativno Poslovanje = Journal of Innovative Business and Management, 17(2). https://doi.org/10.32015/JIBM.2025.17.2.4