Blockchain- IoT- AI based integrated architecture for automotive supply chain management

Author(s)	Mr. Aishwaryakumar Sharma, Mr. Ansh Basu, Dr. Shivangi Thakker
Country	India
Abstract	Global supply chains currently face unprecedented complexity driven by rapid technological changes, global disruptions, and intensified competition, with traditional models struggling due to limited visibility, fragmented data, and slow decision-making. To address these inefficiencies and meet heightened sustainability expectations, this research explores the convergence of Blockchain, the Internet of Things (IoT), and Artificial Intelligence (AI) as a transformative solution. While Blockchain offers immutable ledgers for trust and traceability, IoT enables real-time asset monitoring, and AI provides predictive analytics for optimized decision-making. Recognising that existing literature often treats these technologies in isolation, this study bridges the gap by proposing and evaluating an integrated architecture—specifically within contexts like the automotive industry—to demonstrate how their synergistic application can significantly enhance transparency, operational resilience, and environmental sustainability.
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-01-30
DOI	https://doi.org/10.71097/IJSAT.v17.i1.10259
Short DOI	https://doi.org/hbmzx6

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International Journal on Science and Technology