This study investigates how ML algorithms should be integrated into business forecasting models while planning use strategic resources effectively. This paper analyzes recent studies along with evaluating multiple machine learning techniques through regression and decision trees and neural networks and ensemble approaches then develops a method for integrating them into organizational forecasting processes. The research demonstrates that ML provides substantial improvements in both immediate and extended planning performance which generates competitive benefits with operational improvements
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