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AI-Driven Big Data and Blockchain Convergence for Carbon Footprint Accountability in Global Supply Chains
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Author(s): Ravikumar Natarajan (Marwadi University, Rajkot, India)and Aarthi Selvakumar (Marwadi University, Rajkot, India)
Copyright: 2026
Pages: 34
Source title:
Enhancing Sustainability in Global Supply Chains With Big Data Analytics
Source Author(s)/Editor(s): Mohammad Kamrul Hasan (Tongling University, China), Tahsina Khan (Bangladesh University of Professionals, Bangladesh), Arbia Hlali (Taibah University, Saudi Arabia)and Md Mehedi Hasan Emon (American International University-Bangladesh, Bangladesh)
DOI: 10.4018/979-8-3373-6896-2.ch004
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Abstract
The urgency of climate change has heightened the need for accurate carbon accountability in global supply chains. Conventional systems suffer from fragmented data, poor interoperability, and risks of greenwashing, reducing trust and compliance. This chapter explores the convergence of Artificial Intelligence (AI), big data, and blockchain as a transformative solution. AI and big data enable emission forecasting, anomaly detection, and process optimization, while blockchain ensures immutability, transparency, and tamper-proof reporting. Case studies from Walmart and Volvo illustrate practical applications. The chapter also examines socio-economic implications, regulatory aspects, and technological barriers, while highlighting opportunities such as AI-enabled smart contracts, blockchain-based neutrality certifications, and predictive sustainability with digital twins. Collectively, these innovations provide a pathway to low-carbon, ethical, and transparent supply chains aligned with global sustainability and ESG goals.
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