Leveraging AI and Distributed Ledger Technology for Enhanced Supply Chain Visibility and Accountability

Abstract

AI and DLT can play a transformative role when it comes to supply chain visibility and accountability. Artificial intelligence can be utilized to improve predictive analytics, demand forecasting, and automation of operations, resulting in real-time, data-driven decision-making. However, while DLT provides security, immutability, traceability, and decentralized control that enhance transparency, reduce the possible of fraud and build trust among diverse parties across the supply chain. This paper discusses the symbiosis of both technologies and will demonstrate how their emerging capabilities deliver end-to-end visibility, streamlining operations and improving goods traceability throughout supply chain logistics. Case studies from diverse industries including manufacturing, logistics, and retail highlight the tangible implementation and benefits of these technologies in real-world settings. The paper also emphasizes the difficulties and constraints encountered during the deployment of AI and DLT technologies, with specific mention to interoperability, scalability, and data privacy issues. Also it outlines a path for organizations to embrace such technologies and better integrate them into their supply chains, increasing efficiency, accountability, and competitive advantage.