PREDICTIVE ANALYTICS IN BUSINESS: LEVERAGING ML FOR MARKET FORECASTING

Abstract

Predictive analytics has become a transformative tool in modern business, offering organizations the ability to anticipate market trends and make data-driven decisions. This paper explores how machine learning (ML) technologies are integrated into predictive analytics to enhance market forecasting accuracy. It discusses various ML models, including regression analysis, decision trees, neural networks, and ensemble techniques, emphasizing their application in sales forecasting, customer behavior prediction, and risk assessment. The study also highlights the challenges businesses face when implementing predictive analytics, such as data quality, model selection, and ethical considerations. By leveraging ML-driven insights, businesses can gain a competitive edge, improve strategic planning, and optimize resource allocation in an increasingly dynamic marketplace.