Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

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AI and Blockchain-Based Product Authenticity and Order Verification

Authors
K. Bruno Antony Ragul1, *, M. Gokul1, A. R. Umayal1
1Department of Artificial Intelligence and Machine Learning, St. Joseph’s College of Engineering, Chennai, India
*Corresponding author. Email: ragulbruno@gmail.com
Corresponding Author
K. Bruno Antony Ragul
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_49How to use a DOI?
Keywords
Product authenticity verification; Blockchain ledger; Smart Contracts; Blockchain; Hyperledger Fabric; Computer Vision; Natural Language Processing
Abstract

Counterfeits products, delivery issues, and unclear supply-chain operations still remain a challenge to the. security of the contemporary e-commerce systems. These issues distrust a customer and cause a lot of financial and brand reputational risks. New developments in artificial. blockchain and intelligence (AI) are offering an opportunity to. establish automated and tamper resistant verification mechanisms that act on various steps of an order lifecycle. This work proposes an integrated product authenticity and order. verification system that integrates computer vision, natural language processing and decentralized ledger. technology. It is a system that gathers product pictures, textual. processes them through and produces descriptions, and QR metadata. trained visual similarity analysis, description models. consistency checks, and anomaly detectors. Verified product the identifiers and transaction events are then logged on to a. Smart contracts, but based on Hyperledger-based blockchain. checkpoint rules and machine decision. The framework creates explainable clear outputs, with corresponding similarity scores, indicators of attribute-mismatch, and on-chain traceable records. The solution improves consumer confidence, boosts supply-chain. transparency, and increases availability of digital verification. tools, but being strictly speaking an assistive system, work. than an alternative to official quality-control mechanisms.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_49How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - K. Bruno Antony Ragul
AU  - M. Gokul
AU  - A. R. Umayal
PY  - 2026
DA  - 2026/04/24
TI  - AI and Blockchain-Based Product Authenticity and Order Verification
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 613
EP  - 626
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_49
DO  - 10.2991/978-94-6239-654-8_49
ID  - Ragul2026
ER  -