E-Ticarette Dijital Dönüşüm: Yapay Zekâ Destekli Lojistik Modellerinin Geleceği

Year 2025, Volume: 6 Issue: Özel Sayı, 89 - 108, 30.06.2025

Emine Genç , Heves Genç

https://doi.org/10.56203/iyd.1658714

Abstract

E-ticaret sektöründe dijital dönüşüm süreci, lojistik ve tedarik zinciri yönetiminde yapay zekâ ve büyük veri analitiği kullanımını zorunlu hale getirmiştir. Bu çalışma, yapay zekâ destekli lojistik modellerinin e-ticaret sektöründeki uygulamalarını ve sağladığı avantajları literatür taraması ile incelemektedir. Yapılan araştırmada, yapay zekâ teknolojilerinin talep tahminleme, stok yönetimi, rota optimizasyonu, akıllı depo sistemleri, drone ve otonom araçlarla teslimat gibi birçok lojistik süreci optimize ettiği ve maliyetleri düşürdüğü tespit edilmiştir. Ayrıca, müşteri memnuniyetini artırmada akıllı dolaplar gibi alternatif teslimat çözümlerinin etkili olduğu belirlenmiştir. Bununla birlikte, yapay zekâ sistemlerinin yüksek yatırım maliyetleri, veri güvenliği riskleri, yasal regülasyonlar ve işgücü üzerindeki olumsuz etkileri gibi bazı zorluklar da bulunmaktadır. Sonuç olarak, e-ticaret sektöründeki işletmelerin dijital dönüşüm stratejilerini geliştirerek, yapay zekâ teknolojilerini proaktif bir şekilde benimsemesi ve bu süreçte karşılaşabilecekleri zorlukları aşmaya yönelik adımlar atması gerektiği önerilmiştir.

Keywords

E-ticaret , yapay zekâ , dijital dönüşüm , lojistik yönetimi , son mil teslimat.

Digital Transformation in E-Commerce: The Future of Artificial Intelligence-Supported Logistics Models

Abstract

The digital transformation process in the e-commerce industry has made the use of artificial intelligence (AI) and big data analytics essential in logistics and supply chain management. This study examines applications and benefits of AI-supported logistics models in e-commerce through a comprehensive literature review. The findings indicate that AI technologies significantly optimize logistics processes such as demand forecasting, inventory management, route optimization, intelligent warehouse systems, and deliveries using drones and autonomous vehicles, thereby reducing operational costs. Additionally, alternative delivery solutions like smart lockers have been identified as effective in enhancing customer satisfaction. Despite these benefits, the implementation of AI-driven logistics faces challenges such as high initial investment costs, data security risks, regulatory barriers, and adverse impacts on the workforce. Consequently, it is recommended that e-commerce businesses proactively embrace AI technologies by developing robust digital transformation strategies and taking measures to address potential implementation challenges.

Keywords

E-commerce , artificial intelligence , digital transformation , logistics management , last mile delivery.

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