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Industrial Automatic Control Systems and Controllers

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The Automated Control System Stockists
Chistyakova M.A.

Growth of the list of names of products sold has forced many trade organizations to seek new approaches to forecasting sales. It was possible through a detailed analysis to predict the sale of dozens of kinds of goods, but to do it with hundreds, much less thousands of rows is not possible. Moreover, for any company that claims to place on the market to build sales forecasts for all, or at least the most common types of goods, otherwise she would have suffered significant financial losses.
The main characteristic of such problems is the existence of a database on sales of large range of products (from hundreds to tens of thousands). This means that a large number of time series of sales that require periodic extension for budget planning and management decisions.
Obviously, the errors in predicting demand or lead to excessive filling of the warehouse, which increases the storage costs of production, or the inability to sell a particular product to the buyer because of its lack of stock, which had a negative impact on customer loyalty to the company and reduces profits.
Analysis and forecast of changes in the status of stocks needed to assess the prospects of the turnover of material and financial resources, the dynamics of production and distribution costs, which should form the basis for continuous planning of the value of the company.
The paper presents the results on the development and theoretical basis of proposals to improve the management of finished goods inventory in the supply of enterprises in terms of economic reform.

Keywords: sales forecasting; inventory of finished products; the neural network learning parameters of the neural network.

Contacts: E-mail: vital-chi@narod.ru

Pp. 03-11.

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