Artificial Intelligence Applications in Secure E-Commerce Supply Chains: Addressing Data Integrity and Fraud Prevention Challenges
Published 2023-12-04
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Abstract
The rapid growth of e-commerce has transformed global trade, creating complex supply chains that span multiple stakeholders and geographical regions. However, this transformation has also brought significant challenges, particularly in ensuring data integrity and preventing fraud. Artificial Intelligence (AI) technologies have emerged as powerful tools to address these issues, providing advanced capabilities for monitoring, analyzing, and securing supply chain operations. This paper explores the applications of AI in enhancing secure e-commerce supply chains, focusing on its role in addressing data integrity and fraud prevention. Through the integration of machine learning, natural language processing, and blockchain, AI enables proactive threat detection, automated anomaly identification, and robust data validation mechanisms. The paper also highlights the challenges associated with implementing AI in supply chain security, including scalability, interoperability, and ethical considerations. By examining case studies and emerging technologies, this work underscores the potential of AI to revolutionize e-commerce security, fostering trust and resilience across supply chain networks.