An improved method for calculating the impact of economic factors on the sales of consumer goods was developed.
A general model of the complex processes development in the industrial and socio-economic fields and methods of processes analysis based on the theory of infinitesimal operator were developed.
The algorithms of influence of the cost of goods on offer and forecasting company representatives under the distribution of products through network marketing were developed.
It was developed an application algorithm which determines the degree of influence of coupons, which are distributed by the retail network among consumers, on demand.
It is developed an application algorithm which determines the degree of influence of online advertising on demand. The research coresponds to the classic chart Marketing mix modeling.
The improved method of Bayesian random effect models according to it happens that the calculated coefficients of influence of price on demand are contrary to business and common sense. This is because the input data does not always satisfy the conditions that require the Bayesian random effectmodel. It were developed the algorithms which allow determining such new values of coefficients that satisfy the business logic, but practically do not affect the modeling error.
An applied algorithm of modeling the influence of multilevel promotional actions on demand is developed.