Sales prediction using machine learning approaches

For the successful business, several factors are considered and prediction is made for sales of product. Here, proposed to forecast Rossamann stores using machine learning algorithms. Sales forecasting done by analyzing customer purchasing behaviour it plays an important role in modern business intelligence. Forecasting future demand key planning activities. helps organizations make improvements, changes plans provide a stock storage solution. Forecast determined use data or information from past works consideration recognized feature future. vital strategic market strategy every company assess present statistics predict potential results. Overall, accurate run more productively efficiently, save money on forecasts predictions. In study, linear regression logistic model analyzed Simple Linear Regression (SLR) Multiple (MLR) trained tested our dataset. The processed select features extract those features. Accurate projections easier shop boost growth higher degree generation. It produces better rate.