Enhancing Accuracy and Efficiency in Physical Count Processes: Leveraging AI, IoT, and Automation for Real-Time Inventory Management in Supply Chain

Prabhakaran Rajendran, Nirmal Kumar Balaraman, Hareesh Viswanathan

2025

Abstract

This paper aims at studying how much AI, IoT, and automation play a crucial role in improving the calibration and effectiveness of physical inventory count exercises. As supply chain networks become enhanced, companies are using these technologies to counter issues that come with the use of enhanced inventory control including but not limited to errors, slowness among others. About this, the present paper examines two different case studies one, based on a well-known logistics company in Finland, and the other, Amazon’s fulfillment centers exploring how the application of AI, IoT and automation enhance real-time inventory management. The study informs that the adoption of these technologies greatly improves both the integrity and efficiency of inventory data, accurate real-time monitoring, and less reliance on manual adjustments, and streamlines warehouse logistics. This paper fills the existing literature gap in understanding technological advancements in inventory management and provides valuable recommendations to companies that wish to transform in the context of the Fourth Industrial Revolution.

Paper Citation

in Harvard Style

Rajendran P., Balaraman N. and Viswanathan H. (2025). Enhancing Accuracy and Efficiency in Physical Count Processes: Leveraging AI, IoT, and Automation for Real-Time Inventory Management in Supply Chain. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoT; ISBN 978-989-758-750-4, SciTePress, pages 493-500. DOI: 10.5220/0013506000003944

in Bibtex Style

@conference{ai4eiot25,
author={Prabhakaran Rajendran and Nirmal Balaraman and Hareesh Viswanathan},
title={Enhancing Accuracy and Efficiency in Physical Count Processes: Leveraging AI, IoT, and Automation for Real-Time Inventory Management in Supply Chain},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoT},
year={2025},
pages={493-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013506000003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: AI4EIoT
TI - Enhancing Accuracy and Efficiency in Physical Count Processes: Leveraging AI, IoT, and Automation for Real-Time Inventory Management in Supply Chain
SN - 978-989-758-750-4
AU - Rajendran P.
AU - Balaraman N.
AU - Viswanathan H.
PY - 2025
SP - 493
EP - 500
DO - 10.5220/0013506000003944
PB - SciTePress