Autonomous Supply Chains Using Blockchain-AI Hybrid Systems
DOI:
https://doi.org/10.63345/sjaibt.v1.i1.103Keywords:
Blockchain, Artificial Intelligence, Autonomous Supply Chains, Smart Contracts, Predictive Analytics, Decentralized LogisticsAbstract
The rapid evolution of global trade and logistics has generated unprecedented complexity within supply chains, leading to challenges in transparency, efficiency, trust, and resilience. Autonomous supply chains, powered by the convergence of blockchain and artificial intelligence (AI), present a transformative paradigm capable of addressing these issues. Blockchain ensures immutable, decentralized, and tamper-resistant data sharing across multiple stakeholders, while AI enables predictive analytics, optimization, and autonomous decision-making. Together, blockchain-AI hybrid systems offer real-time traceability, fraud prevention, automated contract execution, risk prediction, and dynamic resource allocation.
This manuscript explores the design, development, and implementation of blockchain-AI integrated architectures for autonomous supply chains. The study reviews existing literature, proposes a methodology for system modeling, and evaluates simulation results highlighting improvements in transaction trust, demand forecasting accuracy, inventory optimization, and fraud reduction. Statistical analysis reveals significant efficiency gains across metrics such as transaction speed, compliance traceability, and overall operational costs. A simulation research model demonstrates that blockchain-AI supply chains reduce bullwhip effects, minimize delays, and enhance global scalability.
The research concludes that blockchain-AI hybrid systems provide a robust framework for building fully autonomous, adaptive, and resilient supply chains that align with Industry 4.0 and beyond. Implications include enhanced sustainability, reduced costs, and competitive advantages for global enterprises. The paper also discusses limitations, ethical challenges, and future research directions in the evolution of autonomous, self-governing supply chain ecosystems.
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