Prediction Analysis for Demand Forcasting in Automotive Industry

Effectively managing risks in the supply chain is a critical aspect of modern business operations, and predictive analysis emerges as a key tool in business. This topic explores the application of predictive analysis to anticipate and mitigate risks within the supply chain. The article delves into the use of machine learning models to early detect potential issues, providing a proactive approach to risk management. Through an examination of case studies, the paper highlights the impact of predictive analysis on reducing vulnerabilities and enhancing the resilience of the supply chain. The research aims to shed light on the practical implementation of predictive analysis for risk management, offering insights to both industry practitioners and researchers.