| With the rapid development of market economy and the continuous innovation of information technology,the flow of goods is digitized and networked,and the life cycle of goods is shortened continuously,which has a great challenge to the pricing and inventory control of commodities.Therefore,the dynamic pricing and inventory control of the commodity have become an important influence factor of the enterprise revenue management,and the research on the joint decision-making of commodity pricing and inventory becomes more and more important,and how to solve the problem of rational allocation of enterprise resources more effectively and how to use the method of data mining and intelligent computing to apply the inventory and pricing of goods to practice become a hot spot in the present research.Based on the research results of dynamic pricing and inventory control at home and abroad,this paper studies the models and algorithms of dynamic pricing and inventory control under different sales models by summarizing the dynamic pricing and inventory control of commodity.Firstly,the dynamic pricing and inventory control method of commodity based on specific demand function is proposed.This paper introduces the basic demand function model,which aims at maximizing the cumulative profit value of enterprises or businesses,integrates the generalized demand function into the basic model of dynamic pricing and inventory joint decision,and constructs a joint decision-making algorithm for dynamic pricing and inventory control.Finally,the experimental simulation is carried out through the actual market data.Secondly,an adaptive optimization prediction method for dynamic pricing and inventory control based on intelligent predictive model is proposed.The paper introduces the content of market forecast and the related forecast model,carries on the simulation of traditional forecast model based on the grey model and time series model,makes the market forecast by BP neural network and support vector machine model,and constructs the dynamic pricing and inventory control adaptive control algorithm based on intelligent predictive mining.The predicted results are compared with the traditional prediction models.Thirdly,the paper puts forward the dynamic pricing and inventory control method of commodity limited sale.In order to study the limited sales mode appearing in the market,take the commodity limited sale as the main research object,take the corresponding advertisement effect and the reference effect of the consumer psychological price into account the research,and establish the dynamic pricing algorithm of the commodity limited selling without the effect of advertisement in turn.The dynamic pricing algorithm of commodity limited sales with the effect of advertisement effect and the dynamic pricing algorithm of commodity limited sales with reference effect are used to comprehensively establish the dynamic pricing algorithm of commodity limited sales based on the effect of advertisement and reference effect.Finally,the experiment of the algorithm is carried out and the result is compared and analyzed respectively.Finally,the paper puts forward the dynamic pricing and inventory control algorithm of commodity presale.The paper introduces the related research of commodity presale,the pre-sale model is combined with the normal sales and limited sales,the dynamic pricing and inventory control based on the analysis and combination of the dynamic pricing and inventory control algorithm,and the dynamic pricing and inventory control algorithm combined with pre-sale and limited sales are established respectively.Finally,the algorithm is simulated and the results are compared and analyzed. |
