UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Volume 12 Issue 8
August-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2508321


Registration ID:
568062

Page Number

d163-d170

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Title

Securing Supply Networks with Blockchain and Advanced Data Analytics

Abstract

Global trade liberalization, supply chains are facing more challenges in terms of trust, supply chain transparency, and operational effectiveness. This research investigates the interdependence between big data analytics and blockchain technology to create robust, transparent, and information-led supply networks. Blockchain's shared ledger guarantees an untameable record of transactions, which allows real-time visibility and the reduction of opportunities for fraud or data manipulation. Besides, predictive analytics and machine learning algorithms use historical and real-time data to aid in inventory optimization, demand planning, and risk management policies. The envisioned framework signifies how blockchain and data science integration enhances the resilience of supply chains, enhances decision correctness, and builds stakeholder confidence. In addition, the study discusses the level to which smart contracts might automate regulatory compliance and trigger dynamic operational adjustments, thus minimizing manual interventions and human errors. It further elaborates on the manner in which the integration of Internet of Things (IoT) sensors can allow for improved timeliness and fidelity of data, which further improves analytical outcomes. By mass simulation-based testing and comparative examination against common centralized supply chain management systems, this research verifies the efficacy of this integrated approach in shifting contemporary supply chain management into a secure, effective, and future-proof ecosystem. The outcomes indicate that blockchain and high-end analytics not only mitigate threats of counterfeiting and delay, but also maintain drives for sustainability by enabling transparent tracking of the environmental footprint across supply chains. Finally, suggestions for mass deployment and potential future research avenues in edge AI as well as federated learning are suggested to ensure continuous innovation and responsiveness in global supply chains

Key Words

Blockchain, Supply Chain Security, Advanced Data Analytics, Predictive Analytics, Transparency, Inventory Optimization, Demand Forecasting, Risk Mitigation, Decentralized Ledger, Data-Driven Decision Making.

Cite This Article

"Securing Supply Networks with Blockchain and Advanced Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.d163-d170, August-2025, Available :http://www.jetir.org/papers/JETIR2508321.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Securing Supply Networks with Blockchain and Advanced Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppd163-d170, August-2025, Available at : http://www.jetir.org/papers/JETIR2508321.pdf

Publication Details

Published Paper ID: JETIR2508321
Registration ID: 568062
Published In: Volume 12 | Issue 8 | Year August-2025
DOI (Digital Object Identifier):
Page No: d163-d170
Country: KANCHEEPURAM , TAMIL NADU , India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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