A sales forecasting method based on random forest algorithm and Adaboost method is proposed. Firstly, by analyzing the characteristics of the sales factors, the characteristics and dimensions of the training data are determined. Then, the feature data is trained by the random forest algorithm based on Adaboost, and the steps of the prediction algorithm are presented. Finally, the experimental results show that this method can greatly enhance the performance of random forest algorithm, and has a high prediction accuracy, as well as a good performance of generalization.