AI-Enhanced Supply Chain Transparency Using Blockchain
A Case Study in Global Trade
Keywords:
Artificial Intelligence, Blockchain Technology, Supply Chain Transparency, Global Trade, Real-Time Data AnalyticsAbstract
This paper presents a case study on the integration of artificial intelligence (AI) and blockchain technology to enhance supply chain transparency, focusing on how real-time data analytics powered by AI can improve tracking and accountability. In today’s complex global trade environment, the need for enhanced transparency in supply chains has never been more crucial. Traditional supply chain systems often suffer from inefficiencies, lack of visibility, and trust issues among stakeholders. This study examines how AI algorithms can analyze vast amounts of data generated along the supply chain, while blockchain technology ensures the integrity and immutability of this data. By exploring a specific case study, this paper highlights the practical applications of these technologies in fostering transparency, reducing fraud, and improving decision-making processes. The findings underscore the potential for AI and blockchain to revolutionize supply chain management, offering a blueprint for future implementations across various industries.
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