The invention relates to the technical field of
big data mining, and provides an industry
big data sales volume prediction method based on a Prophet
algorithm for solving the problem of low prediction accuracy of an existing sales volume prediction method in the automobile industry, and the method comprises the steps: carrying out the analysis of holidays and festivals, events and the like on historical sales volume data based on a facebook prophet
algorithm, determining influence parameters, adopting historical sales volume data to carry out training test on the proret model to obtain an optimal model, and predicting the sales volume to obtain a first predicted value; performing
moving average, deformation, dimension reduction,
lag and the like on the influence factors, performing
machine learning model (neural network, xgboost and the like) training test by adopting historical sales volume data and all
influence factor data to obtain an optimal
machine learning model, and predicting the sales volume by utilizing the optimal
machine learning model and a factor prediction value to obtain a second prediction value; and obtaining a final sales volume predicted value according to the sales volume predicted value I and the sales volume predicted value II. The method is suitable for predicting the sales volume of the automobile products.