An Analysis and Evaluation of Artificial Intelligence Applications in Logistics and Procurement

Öz

The accelerating evolution of artificial intelligence (AI) technologies is precipitating transformative shifts within logistics and procurement, redefining operational paradigms across both public and private domains. The adoption of AI in finance, supply chain management, and procurement processes has gained remarkable traction, owing to its capacity to deliver heightened efficiency, enhanced accuracy, and improved cost-effectiveness. Yet, despite this momentum, integrative resources that systematically delineate the conceptual foundations, strategic advantages, and practical illustrations of AI within logistics and procurement remain scarce, though notable progress continues to emerge. This paper seeks to advance both scholarly discourse and professional practice by critically evaluating the implications of AI-driven process automation in logistics and procurement. Drawing upon industry-leading platforms such as Symphony and GEP SMART, complemented by sectoral reports and contemporary academic literature, the study develops comprehensive process maps that elucidate applied dimensions of AI integration. Beyond analytical insights, the paper proposes actionable and forward-looking recommendations specifically tailored to the Public Procurement Authority (Kamu İhale Kurumu, KİK) of the Republic of Türkiye, thereby offering a roadmap for embedding AI within procurement governance frameworks.

Anahtar Kelimeler

• Logistics
• Procurement
• Artificial Intelligence
• Machine Learning
• Smart Automation

Kaynakça

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