Vol. 4 No. 2 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

IoT-enabled Smart Pharmacies for Automated Inventory Management: Designing IoT-enabled systems to automate inventory management and optimize operations in pharmacies

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  • Dr. Omar Hassan
Dr. Omar Hassan
Professor of Computer Science, University of Khartoum, Sudan
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Published 10-09-2024

Keywords

  • IoT,
  • RFID
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Omar Hassan, “IoT-enabled Smart Pharmacies for Automated Inventory Management: Designing IoT-enabled systems to automate inventory management and optimize operations in pharmacies”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 2, pp. 78–86, Sep. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/24

Abstract

The advent of the Internet of Things (IoT) has revolutionized various industries, and the pharmaceutical sector is no exception. IoT-enabled smart pharmacies offer a promising solution to the challenges faced by traditional pharmacies, particularly in inventory management. This paper explores the design and implementation of IoT-enabled systems for automated inventory management in pharmacies. By leveraging IoT technologies, such as sensors, RFID tags, and cloud computing, pharmacies can achieve real-time monitoring of inventory levels, improve efficiency, reduce costs, and enhance customer satisfaction. This paper presents a comprehensive review of existing literature, discusses key technologies and their integration for smart pharmacy solutions, and proposes a framework for implementing IoT-enabled systems in pharmacies. 

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