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Digital Transformation of Supply Chain Quality Management: Integrating AI, IoT, Blockchain, and Big Data

Author

Listed:
  • Akash Abaji Kadam

    (Servotech Inc, Chicago, IL, USA)

  • Tejaskumar Vaidya

    (Advansoft International Inc)

  • Subba rao katragadda

    (Independent researcher, California, USA)

Abstract

The digital era really changed the face of supply chain quality management. This article explores the transformative power of some emergent technologies, including the Internet of Things, Artificial Intelligence, Machine Learning, and Blockchain, on a global supply chain’s practice. In this context, while the challenges of managing and maintaining globalization are at an all-time high for companies, this set of technologies offers unprecedented opportunities for visibility, accuracy, and efficiency imperatives in a supply chain. Digital innovations have become vital to mitigate risks, optimize processes, and maintain high standards of quality by facilitating real-time data collection, predictive analytics, and decentralized ways of information sharing. The article examines the integration of these technologies within traditional supply chain management frameworks, identifying their potential to drive sustainable competitive advantage. However, it also looks at the challenges created through digital transformation, including data security concerns, system interoperability, and growing pressure to innovate more.

Suggested Citation

Handle: RePEc:alk:jefas0:v:7:y:2025:i:3:id:9733
DOI: 10.32996/jefas.2025.7.3.5
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