ULUSLARARASI TİCARETTE E-TICARETİ GELİŞTİRMEK İÇİN YAPAY ZEKA KULLANIMI

Abstract

Küresel ticaret bağlamında e-ticaret, karmaşık gümrük prosedürleri, çeşitli ödeme sistemleri, kültürel ve dil engelleri ile karmaşık lojistik gibi birçok zorlukla karşı karşıyadır. Bu tez, yapay zekânın (AI) bu engelleri aşmak ve dış ticarette e-ticaret operasyonlarını geliştirmek için nasıl kullanılabileceğini araştırmaktadır. Görüşmeleri içeren tek yöntemli bir araştırma yaklaşımının kullanılmasıyla, çalışma, makine öğrenimi, doğal dil işleme ve bilgisayar görüşü gibi yapay zekâ teknolojilerinin e-ticaretin temel alanlarında uygulanmasını incelemektedir. Bu alanlar arasında tedarik zinciri optimizasyonu, envanter yönetimi, kişiselleştirilmiş pazarlama stratejileri ve sınır ötesi işlemlerin kolaylaştırılması yer almaktadır. Bulgular, yapay zekâ entegrasyonunun operasyonel verimlilikte önemli iyileşmelere, tahmin doğruluğunda artışa ve müşteri katılımında yükselişe yol açtığını ortaya koymaktadır. Ayrıca, araştırma, yapay zekânın uluslararası ticaret süreçlerini kolaylaştırma, maliyetleri düşürme ve her büyüklükteki işletme için küresel pazar erişimini teşvik etme potansiyelini vurgulamaktadır. Tez, e-ticaret işletmeleri, politika yapıcılar ve teknoloji geliştiriciler için yapay zekânın faydalarını maksimize ederken etik ve düzenleyici hususları ele almak üzere uygulanabilir önerilerle sona ermektedir. Ayrıca, uluslararası e-ticarette yapay zekânın gelişen rolünü daha fazla keşfetmek için gelecekteki araştırma alanlarını belirlemektedir.

Keywords

• Yapay Zeka
• E-Ticaret
• Dış Ticaret
• Makine Öğrenimi
• Kişiselleştirilmiş Pazarlama
• Müşteri Katılımı.

Using Artifıcial Intelligence For Enhancing E-Commerce In Foreign Trade

Abstract

In the context of global trade, e-commerce faces numerous challenges, including complex customs procedures, diverse payment systems, cultural and language barriers, and intricate logistics. This thesis investigates how artificial intelligence (AI) can be harnessed to overcome these obstacles and enhance e-commerce operations in foreign trade. Utilizing a single-method research approach that includes interviews, this study investigates the implementation of artificial intelligence technologies, including machine learning, natural language processing, and computer vision, within critical sectors of e-commerce. These areas include supply chain optimization, inventory management, personalized marketing strategies, and facilitation of cross-border transactions. The findings reveal that AI integration leads to substantial improvements in operational efficiency, accuracy in forecasting, and heightened customer engagement. The study also emphasizes how AI can strengthen international trade procedures, save expenses, and promote global market access for companies of all kinds. The thesis concludes with actionable recommendations for e-commerce enterprises, policymakers, and technology developers to increase the advantages of AI while adopting ethical and regulatory considerations. Additionally, it highlights potential avenues for future research to deepen the understanding of AI's evolving impact on international e-commerce.

Keywords

• Artificial Intelligence
• E-commerce
• Foreign Trade
• Machine Learning
• Personalized Marketing
• Customer Engagement.

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