Deep learning-based pork monopoly network sales volume prediction method

A pork monopoly outlet sales volume prediction method based on deep learning relates to the field of sales volume prediction, and mainly comprises the steps of collecting passenger flow volume data, collecting outlet passenger flow volume data through a passenger flow volume device, and storing the passenger flow volume data in a unit time period; time festivals and climate data are collected, and the time festivals and climate data corresponding to the passenger flow volume data are collected; data cleaning and preprocessing; training and generating a sales volume prediction model; predicting passenger flow volume data in unit time through a passenger flow volume prediction model; predicting the pork sales volume in unit time; the method has the beneficial effects that by training the passenger flow volume prediction model and then predicting the passenger flow volume data according to the passenger flow volume prediction model, the occurrence rule of the passenger flow volume at the pork monopoly network ca