International Journal on Science and Technology

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Inventory Control in Modern Supply Chains: Integrating Advanced Technologies for Optimal Performance

Author(s) Maneesh Karumathil Nair
Country United States
Abstract The evolution of supply chain management has positioned inventory control as a critical determinant of operational efficiency and competitive advantage. This comprehensive article examines the intersection of traditional inventory management principles with emerging technologies, particularly focusing on the
integration of predictive analytics, machine learning algorithms, and real-time monitoring systems. It explores how modern inventory control systems are adapting to address contemporary challenges while leveraging technological advances to enhance decision-making processes. The article investigates
traditional methodologies like Economic Order Quantity and Just-In-Time systems alongside modern approaches utilizing IoT-enabled sensors and advanced analytics for real-time tracking. Through examination of cloud-based platforms, data analytics integration, and sustainability considerations, the
article demonstrates how digital transformation is reshaping inventory management practices. It also addresses implementation challenges and future directions, including emerging technologies and integration trends, while providing insights into how organizations can develop resilient and efficient
inventory systems that align with both operational and strategic goals in an increasingly complex supply chain landscape.
Keywords Inventory Management Systems, Supply Chain Digitalization, Predictive Analytics, Sustainability Integration, Real-time Monitoring Technology.
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-11
Cite This Inventory Control in Modern Supply Chains: Integrating Advanced Technologies for Optimal Performance - Maneesh Karumathil Nair - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2365
DOI https://doi.org/10.71097/IJSAT.v16.i1.2365
Short DOI https://doi.org/g87rg8
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