Analysis of Sales Pattern Predictions on New Segment Norms Using Linear Regression

Abstract

This work aims to create a system that identifies the different factors and predicts the most accurate sales for a particular region with the help of history in that particular history. This is to resolve all the challenges and problems that occur while making orders daily. Building this tool will increase the overall sales of the country by aiming at the potential areas of growth which will directly lead to an increase in sales. The Revenue Growth Management analysis generates a sales prediction basedonvarious factors which will help in targeting manufacturing and so on. The aim is to generate a system that predicts accurate sales so least of the products are being manufactured with no use. This will help in targeting the niche market of buyers who are potential buyers.