Innovations in Warehouse Management: Integrating AI and IoT for Smarter Logistics

Authors

  • ChristianWalter , Austin Carl Department of Computer Engineering, Tulane State University Author

Keywords:

Artificial Intelligence (AI), Internet of Things (IoT), Warehouse Management, Logistics, Real-Time Inventory Tracking

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in
warehouse management represents a significant innovation in logistics, promising to enhance
efficiency, accuracy, and overall operational effectiveness. This paper explores the transformative
impact of AI and IoT technologies on warehouse management systems, highlighting key
advancements such as real-time inventory tracking, predictive maintenance, and automated
decision-making processes. By leveraging AI algorithms and IoT-enabled sensors, warehouses can
optimize resource allocation, reduce operational costs, and improve service levels. The study
examines case examples of successful implementations, demonstrating how these technologies
streamline warehouse operations and enable smarter logistics. The potential challenges and future
directions for integrating AI and IoT in warehouse management are also discussed, providing a
comprehensive overview of this emerging field.

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Published

2024-07-14

How to Cite

Innovations in Warehouse Management: Integrating AI and IoT for Smarter Logistics. (2024). International Journal of Advanced Engineering Technologies and Innovations, 1(3), 530-553. http://ijaeti.com/index.php/Journal/article/view/408