Sales forecasting and revenue prediction are important tasks for business planning and decision-making. This research paper presents a machine learning-based approach for predicting future sales and estimating revenue using historical sales data. The study involves data collection, preprocessing, exploratory data analysis, feature engineering, model building, and performance evaluation. Different predictive techniques are applied to identify patterns and trends in sales data. The proposed system helps businesses improve forecasting accuracy, optimize planning, and support strategic decision-making. The results demonstrate the usefulness of machine learning methods in generating reliable sales and revenue predictions.
Aggarwal et al. (Sat,) studied this question.