The Utilization of Machine Learning and Blockchain in the Safe Handling of a Supply Chain in IoT Ecosystems

Aug 5, 2026

The paper examines how Internet of Things (IoT) devices can drive automation in supply chain management by enabling real-time tracking and monitoring. It addresses the burden of storing highly secured data and the limitations of centralized supply chain databases that are prone to tampering, inefficiency, and security risks. The study focuses on supply chain security, transparency, and efficiency through blockchain and machine learning, proposing their combined role in improving trust, supporting real-time decisions, and handling challenges in current supply chain implementations.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

Introduction

Study background

International Journal of Emerging Research in Applied Medical Sciences (IJERAMS) The Utilization of Machine Learning and Blockchain in the Safe Handling of a Supply Chain in IoT Ecosystems Avinash Gurram Cvm College of pharmacy,telangana,india [avinashrgoud@gmail.com](avinashrgoud@gmail.com) ABSTRACT The revolution in the management of supply chain through introduction of the Internet of Things (IOT) devices will be pushed by automation since the devices can be tracked and monitored in real time. Storing much information that is highly secured however is a very hectic process. The databases that were established with the old systems of the supply chain are of a centralized variety and can be easily tampered with, hence, susceptible to in-efficient processes besides being vulnerable to security risk. The given paper is devoted to the domain of the supply chain security, transparency, and efficiency in regard to the opportunities of the Blockchain and Machine Learning (ML). Blockchain has also been termed as irreconcilable decent and distributed ledger that creates certain transactions that bode wellin respect to the other end of the scale is data quality and ML that provides an idea on the supply chain, tracking anomaly in addition to intelligent decision-making. The two technologies are capable of coming up with an empowering technology that will further increase the level of trust the company will enjoy, reduce the importance of the money used in the course of operation and the outcome of it will be the real time decision making. The hypothesis of the paper posits the descriptions of the application, the perceived gains and the challenges and how they are going to be incorporated in the current supply chains of the technologies. The work integrates the possibilities of the Machine Learning and the Blockchain phenomenon and explains the conceptual model, and after that, the synergetic dilation can be an adequate, efficient, and extensive solution to the problem of supply chain management in the contemporary world. Keywords: blockchain, Machine Learning, IoT Ecosystems, SCM, security DOI: [https://doi.org/10.65477/ijerams.v1.i1.01](https://doi.org/10.65477/ijerams.v1.i1.01) This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and the source are properly cited. 1. Introduction In the paper, the synergetic involvement of Machine Learning and Blockchain solutions in the arsenal of new or robust, fearless and efficient supply chain eco-systems will be presented with the use of the IoT infrastructure (Sharma et al., 2023) (Najmi et al., 2024) . It is achieved in the course of the activity of managing the two fears that imply the integrity of the data and the effective operational processes (Bhadoria et al., 2020) . Now that they are associated with such technologies, their supply chains can foresee a disruptive event, harmonize the processes, and respond quickly to the experience that could not possibly be envisioned (Enyejo et al., 2024) . That is the way the superior decisions will be made and the data analytics will be published which will be essential in the operations and forecast of the issues that are likely to arise in the supply chain (Nasayreh et al., [https://ijerams.org/](https://ijerams.org/) 1 2024) . This section of the body shall adopt the background since it will entail the writing of the more abstract and meaning about what supply chain. management actually do have on the already established businesses. It also determines that the use of the IoT tools is necessary to the improvement of the case of tracking and automation in a real time scope (Udehet al., 2024) . However it does also deal with the matters of unreliability of the systems, reliability of the data and of the security roles. The

FAQs

How does IoT improve supply chain management in this paper?

IoT enables devices to be tracked and monitored in real time, supporting automation and improved tracking and responsiveness.

Why are blockchain and machine learning used together for supply chain security?

Blockchain is used to provide secure, tamper-resistant record keeping, while machine learning supports data-based tracking of anomalies and intelligent decision-making.

What challenges does the paper highlight for current supply chain systems?

Centralized databases can be tampered with, leading to security vulnerabilities, data reliability issues, and inefficient operational processes.

Aug 5, 2026

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