Intelligent pricing method

The invention relates to an intelligent pricing method. A first price prediction model and a second price prediction model are included. An intelligent pricing database is established, and historical data of enterprises and historical data of companions and clients are imported in the intelligent pricing database; the first price prediction model uses an XGBOOST engineering algorithm to generate a first prediction price Px for enterprise historical data; the second price prediction model adopts a sklearn engineering library, and generates a second prediction price Py for historical data of the companions and the customers on the basis of the price database; and an intelligent pricing formula is constructed according to the first predicted price Px, the second predicted price Py and the actual sales price P0 of the last period to calculate a suggested price P, P = b0 * P0 + b1 * Px + b2 * Py, and b0, b1 and b2 are preset weights. According to the method, multiple factors are comprehensively considered to deter