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

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Authors: Aishwaryakumar Sharma, Ansh Basu, Shivangi Viral Thakker
Cited by: 0

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.

Fields of Study & Subjects

Blockchain Technology Applications and Security Impact of AI and Big Data on Business and Society Food Supply Chain Traceability

Publication details

Journal / source
International Journal on Science and Technology
Volume
17
Issue
1
Publication date
30 January 2026