Sales Forecasting and Business Intelligence Dashboard Using Machine Learning

Sales forecasting means estimating future sales from past data. It helps businesses plan their stock, production, and budget. This paper explains how machine learning can be used for sales forecasting. The paper describes a simple step-by-step method: collecting sales data, cleaning the data, exploring it with charts, selecting useful features, training models, testing them, and predicting future sales. Three models are discussed: Linear Regression, Decision Tree Regression, and Random Forest Regression. They are checked using MAE, MSE, RMSE, and R² scores. The paper also covers how sales forecasting is used in retail, e-commerce, inventory management, production, and marketing. It ends with future ideas such as advanced models (XGBoost, LSTM), real-time forecasting, cloud systems, AutoML, and explainable AI.