Blockchain and AI Integration in Supply Chain Management: Transforming Transparency, Security, and Efficiency in Material Flow Systems

Authors

  • Md Fazle Alahi Bhuiyan Master of Business Administration, Central Michigan University, Mount Pleasant-48859, United States. Author
  • Kazi Rakib Hasan Saurav Master of Business Administration, Central Michigan University, Mount Pleasant-48859, United States. Author

DOI:

https://doi.org/10.60087/jklst.vol4.n4.012

Keywords:

Block chain, Supply Chain Management (SCM), Logistics Management, End-to-End Supply Chain

Abstract

Background: Over the last few years, blockchain and artificial intelligence (AI) applications in supply chain management (SCM) have become a transformational solution to increase transparency, security, and efficiency. Conventional supply chain systems are associated with inefficiencies, information silos, faddiness, and deficiency of traceability, which greatly impede efficiency. The synergies of a decentralized and safe data format of blockchain and predictive performance of AI have the chance to resolve these issues and streamline supply chain processes. Methods: The study employed the mixed-methods approach, which included secondary data gathering based on peer-reviewed articles, industry reports, and case studies related to blockchain and AI integration. The study utilizes statistical analysis to investigate current trends and associations and machine learning algorithms are used to examine how blockchain and AI can influence supply chain performance indicators, including demand forecasting, inventory management, and operational effectiveness. The data on different industries such as food, pharmaceuticals and logistics were studied to have a glimpse of the real-world uses of such technologies. Results: The findings indicate that blockchain and AI integration have a significant positive impact on transparency as it creates an unalterable and up-to-date version of each transaction and improves operational efficiency since it allows for the optimization of resource distribution, demand forecasting, and inventory control. Blockchain offers verifiable data, which is reassured, and AI can make predictive analytics and automation that can decrease errors and enhance decision-making initiatives within supply chains. Conclusion: A combination of blockchain and AI is an exciting option to revolutionize supply chain management. Although other issues such as scalability and system integration are still facing challenges, the benefits of these technologies are enormous in terms of security, transparency and efficiency.

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Published

25-12-2025

How to Cite

Md Fazle Alahi Bhuiyan, & Saurav, K. R. H. . (2025). Blockchain and AI Integration in Supply Chain Management: Transforming Transparency, Security, and Efficiency in Material Flow Systems. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 4(4), 108-118. https://doi.org/10.60087/jklst.vol4.n4.012

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