Improving Sales Forecasting Accuracy using Machine Learning Algorithms

Abstract: Accurate sales forecasting is a critical component of successful business planning and strategy development. In this study, we investigate the effectiveness of machine learning algorithms in improving sales forecasting accuracy. We use historical sales data from a retail company and compare the performance of traditional time series models with several machine learning algorithms, including random forest, support vector machine, and neural network.

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