Ai-Driven Adaptive Sharded Blockchain With Zero-Knowledge Traceability (AASB-ZKT) For Smart Supply Chains

Abstract

The growing nature of global supply chains has posed a great challenge in terms of providing a level of transparency, security, scalability, and privacy among the distributed logistics networks. Conventional supply chain management systems are based on the central databases that are susceptible to alteration of data, fraud and insufficient interoperability between the stakeholders. Despite the fact that blockchain technology has became a promising solution to enhance supply chain transparency and traceability, scalability, the high transaction latency, privacy leakage, and energy-consuming consensus mechanisms are current limitations with regard to the existing blockchain-based systems. This paper has provided a new framework to solve these problems which includes AI-driven Adaptive Sharded Blockchain with Zero-Knowledge Traceability (AASB-ZKT) of smart supply chain. The solution proposed combines the use of artificial intelligence-based anomalies detection, dynamically sharded blockchain, privacy protection based on zero-knowledge proofs, smart contracts powered by IoT, and opinion-based weighted consensus. The framework is meant to enhance the throughput of transactions, decrease the latency, increase fraud detection, and provide privacy without traceability. The empirical analysis conducted on the experimental basis proves that the suggested strategy is much more effective in enhancing the scalability, security, and operational efficiency in contemporary supply chain environments.