A Blockchain-Enhanced Supply Chain Model for Real-Time Transparency and Traceability
Abstract
The global supply chain industry faces challenges of transparency, trust, and traceability. This study introduces a blockchain-enhanced supply chain model aimed at providing real-time visibility and immutable record-keeping across the entire logistics network. Smart contracts automate key transactions, while distributed ledger technology ensures data integrity and auditability. Field trials with industry partners show a 25% improvement in transaction accuracy and a 40% reduction in manual verification processes. This paper highlights blockchain's potential to revolutionize supply chain efficiency, ensuring secure and transparent operations.
References
Chittineni, S. (2019). Optimizing Microservices Performance with Reinforcement Learning: A Case Study in Spring Boot Applications. American Journal of AI & Innovation, 1(1).
Chittineni, S. (2019). AI-Driven Optimization of Backend Systems: Enhancing Performance and Reducing Latency in Large-Scale Applications. Australian Journal of Cross-Disciplinary Innovation, 1(1).
Mohammed, C. S. A. (2019). Exploring the Features and Scope of SAP S/4HANA for Financial Products Subledger Management. Australian Journal of Cross-Disciplinary Innovation, 1(1).
Chittineni, S. (2020). Leveraging Machine Learning for Automated Thread Dump Analysis and Performance Tuning in Enterprise Java Applications. Australian Journal of Cross-Disciplinary Innovation, 2(2).
Mohammed, C. (2021). Revolutionizing Financial Operations: A Comprehensive Study on the Impact of SAP and Kyriba Integration. International Journal of Sustainable Development in Computing Science, 3(2), 1-19. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/696/260
