Today incorporationofestimationanddecision analysis is required by analytical systems. Predictingthe item sales is a very tough challenge so the business organization depends on the predictions of sales trends. Accuracy obtained in sales predictions serves as a boon to business organizations. Machinelearning algorithms are efficient and effective for extractinghidden information from a huge dataset to enhance efficiency and accuracy of sales prediction. The detailed study and analysis of predictive models is used to performfuture sales predictions. Theproblem with traditional prediction systems is that they are tough to deal with the enormous dataset inorder to providethe accurate prediction. To overcome these challenges various machine learning techniques and algorithms can be used. On the basis of their performance, the model which gives more accuracy will be used to predict forecasting trends. The results obtained are encapsulated collectively in terms of accuracy, reliability and efficiency of the techniques that are used for forecasting and prediction.