The Convergence of IoT and Blockchain in Supply Chain Monitoring: A Holistic Approach to Data Integrity, Automation, and Cybersecurity

Abstract

The introduction of the Internet of Things (IoT) and the Blockchain technology is a ground-breaking paradigm of the contemporary supply chain management. In this paper, the convergence is discussed in a holistic way, focusing on its potential to become synergistic and providing an undisputable basis of data integrity, provide trust less automation, using smart contracts, and improve the cybersecurity postures significantly. As the IoT devices create large, real-time streams of data about the location, condition, and status of goods, blockchain offers a decentralized and tamper-evident registry to store this information, and thus establish its validity and establish a single source of truth within multi-party and multi-faceted networks. The research design that is used in this study is an empirical study design because it investigates the effectiveness of this fusion in solving the perennial supply chain challenges, which include: being opaque, fraud, inefficient and prone to cyber-attacks. In addition, it explores the new role of Artificial Intelligence (AI) and machine learning as the enabling factors that streamline IoT data analytics and blockchain functions. The discussion then generalizes the research on architectural paradigms, performance measures and implementation obstacles, and concludes that the IoT-Blockchain-AI triad is needed to create resilient, transparent, and intelligent supply chains that can self-operate and demonstrate compliance. Nevertheless, issues concerning the scalability, interoperability, energy usage, and the alignment with the regulatory requirements have to be tackled systematically to be widely adopted.