Automated Systems for Efficient Medical Stores


Year : 2025 | Volume : 12 | Issue : 02 | Page : –
    By

    Narender Singh,

  • Tushar Latiyan,

  • Nitin Sharma,

  • Mohd. Shad,

  1. Student, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India
  2. Student, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India
  3. Student, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India
  4. Student, Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India

Abstract

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Medication plays a crucial role in today’s world, and with technological advancements, automation has become essential to save time and effort. One such innovation is Medical Store Automation, an automated system designed to enhance healthcare management. This system incorporates an automatic drawer-opening or cabinet system integrated with stock inventory. Its primary objective is to locate the desired medicine quickly by automatically opening the corresponding drawer, minimizing time spent searching. This paper introduces a system named Medicine Place Finder and Auto Inventory Management System, which efficiently updates and manages medicine stock.

The integration of advanced technologies such as AI-driven inventory tracking, digital prescription management, and automated billing has not only increased efficiency but also reduced operational costs. These systems allow medical stores to maintain accurate stock records, prevent medication shortages, and avoid overstocking, leading to better financial management. Additionally, automated reminders for prescription refills and real-time customer service support contribute to a seamless and personalized customer experience.

Keywords: HTML, CSS, JavaScript, PHP, Artificial Intelligence, Auto Inventory System

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Narender Singh, Tushar Latiyan, Nitin Sharma, Mohd. Shad. Automated Systems for Efficient Medical Stores. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-.
How to cite this URL:
Narender Singh, Tushar Latiyan, Nitin Sharma, Mohd. Shad. Automated Systems for Efficient Medical Stores. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):-. Available from: https://journals.stmjournals.com/joaira/article=2025/view=0


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References

1. Ahmed, S., & Hassan, R. (2022): “Design and Implementation of an Automated Medical Store Management System. Journal of Healthcare Engineering, vol. 2022.
2. Kumar, S., & Gupta, A. (2022): Medical Store Automation: A Review of the Literature. Journal of Pharmacy Technology, vol. 38, no. 2, pp. 53-63
3. Patel, N., Shah, M. (2022): Implementation of RFID-Based Medical Store Management System. International Journal of Pharmaceutical Sciences and Research, vol. 13, no. 5, pp. 145-155.
4. Singh, J., Kumar, R. (2022): Automation in Medical Stores: A Study of the Current Scenario and Future Prospects. Journal of Healthcare Management, vol. 17, no. 2, pp. 123- 135.
5. Goyal, A., Sharma, P. (2022): Design and Development of an Automated Medical Store Inventory Management System. Journal of Engineering Research and Applications, vol. 12, no. 3, pp. 16-25.
6. Rao, K., Rao, S. (2022): & Medical Store Automation Using IoT and Cloud Computing. International Journal of Advanced Research in Computer Science and Software Engineering, vol. 11, no. 4, pp. 12-20.

Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 01/03/2025
Accepted 24/03/2025
Published 25/03/2025
Publication Time 24 Days
94

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