Main Article Content
Abstract
Working in sales is not always an easy game. Anyone in the role will tell you that they love it—but often want to pull their hair out. Companies have long struggles with how to include sales team insights into their operations forecasts. Machine learning techniques is a very effective tool in extracting hidden knowledge from an enormous dataset to enhance accuracy and efficiency of forecasting.Traditional forecast systems are difficult in dealing with the accuracy of sales forecasting. In this paper we briefly analysed the concept of sales data and forecasting using various supervised machine learning techniques on the basis of a performance evaluation, a best suited predictive model is suggested for the sales forecast. The results are summarized in terms of accuracy of efficient techniques taken for prediction. The studies found that the best fit model is support vector machine which shows maximum accuracy in forecasting and future sales prediction.