Forecasting Future Sales of Bigmarts

Abstract

Abstract: In this contemporary era, supermarket and general stores have been scrutinizing the sales record for knowing the demands of customers and to find the straggles in general trend. So, as the data is available a predictive model has been built using various algorithms such as Polynomial regression, XGBoost, Linear regression, and Ridge regression techniques for forecasting the sales of a business in advance. The prediction is based on sales of supermarket for various outlets to calibrate the business model to expected outcomes. With the results and analysis provided by the model retailers can know the sales volume in advance