Supply Chain Management

The Supply Chain Management (SCM) system is designed to enhance the efficiency, transparency, and resilience of supply chain operations. This project integrates advanced data analytics, machine learning, and real-time tracking to overcome the limitations of traditional SCM systems, such as demand volatility, inventory imbalances, and poor response to disruptions. By utilizing diverse data sources—including historical demand, market trends, and consumer insights. The system provides accurate demand forecasting and optimal inventory management. Key features include real-time visibility across the supply chain, predictive analytics for proactive decision-making, and a responsive structure that mitigates risks such as stockouts and overstocking. The system’s modular design supports scalability, enabling businesses to adapt quickly to market changes, streamline operations, and ultimately improve customer satisfaction and profitability.

Authors

Publication Details

Journal
International Journal of Management and Humanities
Published
2025-02-20
DOI
https://doi.org/10.35940/ijmh.d1768.11060225
Citations
8
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
9.14
Controls
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article

Supply Chain Management

R Brundha, Meenaumadevi M Guide, Mrs. K. Sugashini
8 citations
International Journal of Management and Humanities
Quality and Supply Management
9.14
article

Supply Chain Management

R Brundha, Meenaumadevi M Guide, Mrs. K. Sugashini
article en
8 citations

Abstract

The Supply Chain Management (SCM) system is designed to enhance the efficiency, transparency, and resilience of supply chain operations. This project integrates advanced data analytics, machine learning, and real-time tracking to overcome the limitations of traditional SCM systems, such as demand volatility, inventory imbalances, and poor response to disruptions. By utilizing diverse data sources—including historical demand, market trends, and consumer insights. The system provides accurate demand forecasting and optimal inventory management. Key features include real-time visibility across the supply chain, predictive analytics for proactive decision-making, and a responsive structure that mitigates risks such as stockouts and overstocking. The system’s modular design supports scalability, enabling businesses to adapt quickly to market changes, streamline operations, and ultimately improve customer satisfaction and profitability.

International Journal of Management and HumanitiesVol. 11(6)
Openalex Percentile: Top 3%
Quality and Supply Management
9.14
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