Intelligent Infrastructure for Real-Time Inventory and Logistics in Retail Supply Chains

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Raviteja Meda
Avinash Pamisetty

Abstract

In the rapidly evolving landscape of retail supply chains, the integration of intelligent infrastructure for real-time inventory and logistics management presents a transformative opportunity. This study investigates the deployment of advanced technological frameworks that enable retailers to enhance operational efficiency, reduce costs, and respond dynamically to market demands. It explores how IoT-enabled infrastructures, combined with big data analytics and machine learning algorithms, facilitate real-time tracking and management of inventory across various stages of the supply chain. The integration of these technologies not only improves visibility and accuracy in inventory management but also optimizes logistical processes by providing actionable insights for strategic decision-making. The paper delves into the design and functionality of intelligent systems that support automated inventory management and logistics. Key components such as sensor networks, RFID technology, and cloud-based platforms are examined for their roles in creating connected ecosystems that streamline operations. Emphasizing the significance of interoperability, the research highlights how seamless communication between disparate systems enhances information flow and reduces bottlenecks, ultimately leading to improved supplier and customer satisfaction. Furthermore, this research underscores the importance of real-time data analysis in predictive analytics and demand forecasting. By leveraging real-time insights, retailers can anticipate trends, adjust inventory levels proactively, and implement agile supply chain strategies that mitigate the risks of stock shortages or overstock. The investigation concludes by discussing potential challenges, such as cybersecurity risks and the need for robust data governance frameworks, proposing solutions to address these issues effectively. In doing so, this study aims to provide a comprehensive overview of how intelligent infrastructure can be harnessed to revolutionize inventory and logistics management in retail supply chains.

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How to Cite
Raviteja Meda, & Avinash Pamisetty. (2023). Intelligent Infrastructure for Real-Time Inventory and Logistics in Retail Supply Chains. Educational Administration: Theory and Practice, 29(4), 5215–5233. https://doi.org/10.53555/kuey.v29i4.10068
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Articles
Author Biographies

Raviteja Meda

Lead Incentive Compensation Developer, 

Avinash Pamisetty, Mulesoft Developer

Mulesoft Developer,