Comparison of Sales Prediction in Conventional Insights and Machine Learning Perspective

Abstract

Generally, the predictions of sales volume can be regarded as using the system of the forecasting model to estimate the future sales quantity and amount for products and services. Accurate sales forecasting based on the previous sales situation can promote enterprise do better in the future income and encourage enterprises to establish and maintain a highly efficient sales management teamThis paper will analyze traditional sales forecasting methods and sales forecasting methods based on big data models which related to the perspective of machine learning, and then compare them. According to the analysis, the two sales forecasting methods have their own advantages and disadvantages. In the future, enterprises can adopt the two sales forecasting methods in parallel to maximize the utilization advantage of sales forecasting for enterprises. These results shed light on guiding further exploration of choosing appropriate sales model for enterprises.