Abdullaev U.A. 1
1 FGBOU VPO «Voronezh State Academy of Forestry» Voronezh
In this paper, the focus is removed creating regression models predicting the development of productive enterprises, engaged in trade, the use information technology, on the basis of self-organizing information systems. The possibility of the development of methods and algorithms that improve the functioning of self-organizing information system by forecasting and search the collecting of relevant information. This article is to show the role of information systems in the management of industrial enterprise trade, which improve and optimize enterprise processes targeted trade using the regression and correlation analysis. Developed specific types of nonlinear mathematical models for forecasting and analysis, sales of private companies. Provides a graphical interpretation of the results using the desktop software Windows XP.