Paper Contents
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 sourcesincluding 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 systems modular design supports scalability, enabling businesses to adapt quickly to market changes, streamline operations, and ultimately improve customer satisfaction and profitability-
Copyright
Copyright © 2024 Brundha R. This is an open access article distributed under the Creative Commons Attribution License.
