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

Abstract

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.

Keywords

• Artificial intelligence
• Smart Logistics
• Smart Supply chain

Yapay Zekâ Tabanlı Lojistik ve Tedarik Zinciri Yönetimi: Sektörel Uygulamalar ve Gelecek Perspektifleri

Abstract

Son yıllarda lojistik ve tedarik zinciri yönetiminin dijitalleşmesi hız kazanmış ve yapay zekâ (YZ) kullanımıyla önemli ilerlemeler kaydedilmiştir. Geniş bir uygulama yelpazesi sunan yapay zekâ, lojistik ve tedarik zincirlerinde operasyonel verimliliğin artırılmasında önemli bir unsur haline gelmiştir. Bu makale, bu alanlardaki yapay zekâ uygulamalarını, hem gerçek dünya endüstri örnekleri hem de akademik literatür ile destekleyerek incelemektedir. Araştırma, sistematik literatür taraması (SLR) ve saha araştırmasını birleştiren bir metodoloji kullanmaktadır. Çalışmanın amacı, lojistik ve tedarik zincirlerinde yapay zekâ çözümlerinin nerelerde uygulandığını belirlemek ve bu uygulamaları gerçek dünya örnekleri ile ilişkilendirmektir. Bulgular, lojistikte yapay zekâ kullanımının 12 farklı alanı kapsayan teorik bir çerçeve içerisinde sınıflandırıldığını göstermektedir. Makalede Walmart, Amazon, UPS, DHL, Ocado, Alibaba, Maersk, Siemens, FedEx, Kuehne + Nagel ve DB Schenker gibi önde gelen şirketlerdeki yapay zekâ uygulamaları ayrıntılı olarak ele alınmaktadır. Sonuç olarak, bu makale yapay zekânın lojistik ve tedarik zinciri yönetiminde nasıl bir devrim yarattığını incelemekte ve bu dönüşümü hem endüstri uygulamaları hem de akademik literatür aracılığıyla ortaya koymaktadır. Elde edilen sonuçlar, yapay zekânın lojistik süreçlere giderek daha fazla entegre olduğunu ve etkisinin gün geçtikçe arttığını göstermektedir.

Keywords

• Akıllı Lojistik
• Akıllı Tedarik Zinciri
• Yapay Zeka.

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