Analysis of the implementation for big data analysis in sales prediction: LSTM, ANN and DNN

As a matter of fact, big data analysis is a choice made by the sales forecasting industry in response to the trend of the times, especially with the rapid development of computation ability and machine learning models. In general, it consists of two parts, i.e., big data and machine learning. To be specific, machine learning has received widespread attention in this field after being supported by big data. On this basis, this study will select the implementation of three machine learning models, LSTM, ANN and DNN. The prediction accuracy of these three models all meets practical requirements, and their performance in complex data is better than traditional models, but their costs are still not affordable for most companies. The purpose of this article is to help readers understand the development of big data analysis in the sales forecast industry, its current advantages and disadvantages, as well as possible future development directions.