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Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives

Cilt: 8 Sayı: 2 25 Ekim 2025
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Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives

Öz

In recent years, the digitalization of logistics and supply chain management has accelerated, bringing significant advancements through the utilization of artificial intelligence (AI). AI, which offers a broad range of applications, is now integral to enhancing operational efficiency in logistics and supply chains. This paper explores the various applications of AI in these domains, supported by both real-world industry examples and academic literature. The research employs a combined methodology of systematic literature review (SLR) and field research to achieve its objectives. The study aims to identify where AI solutions are applied within logistics and supply chains and to correlate these applications with real-world examples. Findings indicate that AI usage in logistics is categorized within a theoretical framework encompassing 12 distinct domains. The paper details AI applications in prominent companies, including Walmart, Amazon, UPS, DHL, Ocado, Alibaba, Maersk, Siemens, FedEx, Kuehne + Nagel, and DB Schenker. Ultimately, this paper examines how AI has revolutionized logistics and supply chain management, illustrating the transformation through industry applications and academic literature. The results demonstrate a clear trend of AI becoming increasingly integrated into logistical processes, underscoring its growing impact day by day.

Anahtar Kelimeler

Kaynakça

  1. Aghazadeh, H., & Khoshnevis, M. (2024). Martechs and Digital Marketing+ (Types of Digital Marketing). Digital Marketing Technologies (pp. 187-226). Singapore: Springer Nature Singapore.
  2. Aliyev, A. G., Shahverdiyeva, R. O., & Hagverdiyeva, U. H. (2024). Modernization of E-Commerce and Logistics Platforms of Enterprises Based on Artificial Intelligence Technology. Artificial Intelligence, Medical Engineering and Education (pp. 170-181). IOS Press.
  3. Aljazzar, S. M. (2023). Harnessing Artificial Intelligence for Supply Chain Optimization: Enhanced Demand Prediction and Cost Reduction. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) (pp. 1-6). IEEE.
  4. Amosu, O. R., Kumar, P., Ogunsuji, Y. M., Oni, S., & Faworaja, O. (2024). AI-driven demand forecasting: Enhancing inventory management and customer satisfaction. World Journal of Advanced Research and Reviews, 23(2), 708-719.
  5. Annanth, V. K., Abinash, M., & Rao, L. B. (2021). Intelligent manufacturing in the context of industry 4.0: A case study of siemens industry. In Journal of Physics: Conference Series (Vol. 1969, No. 1, p. 012019). IOP Publishing.
  6. Bharadiya, J. (2023). Artificial intelligence in transportation systems a critical review. American Journal of Computing and Engineering, 6(1), 34-45.
  7. Bogue, R. (2022). Warehouse robot market boosted by Covid pandemic and technological innovations. Industrial Robot: the international journal of robotics research and application, 49(2), 181-186.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka (Diğer), Lojistik, Tedarik Zinciri Yönetimi

Bölüm

Derleme

Erken Görünüm Tarihi

22 Ekim 2025

Yayımlanma Tarihi

25 Ekim 2025

Gönderilme Tarihi

17 Ekim 2024

Kabul Tarihi

17 Eylül 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 8 Sayı: 2

Kaynak Göster

APA
Yardımcı Coşkun, İ. (2025). Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 8(2), 217-236. https://doi.org/10.51513/jitsa.1569385
AMA
1.Yardımcı Coşkun İ. Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives. Jitsa. 2025;8(2):217-236. doi:10.51513/jitsa.1569385
Chicago
Yardımcı Coşkun, İlknur. 2025. “Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 8 (2): 217-36. https://doi.org/10.51513/jitsa.1569385.
EndNote
Yardımcı Coşkun İ (01 Ekim 2025) Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 8 2 217–236.
IEEE
[1]İ. Yardımcı Coşkun, “Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives”, Jitsa, c. 8, sy 2, ss. 217–236, Eki. 2025, doi: 10.51513/jitsa.1569385.
ISNAD
Yardımcı Coşkun, İlknur. “Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 8/2 (01 Ekim 2025): 217-236. https://doi.org/10.51513/jitsa.1569385.
JAMA
1.Yardımcı Coşkun İ. Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives. Jitsa. 2025;8:217–236.
MLA
Yardımcı Coşkun, İlknur. “Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, c. 8, sy 2, Ekim 2025, ss. 217-36, doi:10.51513/jitsa.1569385.
Vancouver
1.İlknur Yardımcı Coşkun. Artificial Intelligence-Driven Logistics and Supply Chain Management: Industry Applications and Future Perspectives. Jitsa. 01 Ekim 2025;8(2):217-36. doi:10.51513/jitsa.1569385