Year: 2025
Type: article
Abstract: The integration of Artificial Intelligence (AI) into logistics and risk management has revolutionized the way businesses operate, offering unprecedented levels of efficiency, accuracy, and predictive capabilities. This paper explores the transformative impact of AI on logistics and risk management, focusing on its applications in supply chain optimization, predictive analytics, and risk mitigation. By leveraging AI technologies such as machine learning, natural language processing, and computer vision, organizations can enhance decision-making processes, reduce operational costs, and improve overall resilience. This paper also discusses the challenges and ethical considerations associated with AI adoption, providing a comprehensive overview of the current state and future prospects of AI in logistics and risk management.
Author: Oluwatumininu Ajayi
Institutions: Texas A&M University – Kingsville, Texas A&M University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4408771192