Application of Neural Technology for Prediction Competitive Strategy of Trade Enterprises

  • R. Ya. K
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Abstract

The article is devoted to the study of the specifics of forecasting the competitive strategy of retail enterprises based on the use of the method of neural networks. The main advantages and disadvantages of using this method are highlighted. The method of using neural networks to assess the financial condition of an enterprise is considered. An overview of methods for constructing neural networks for solving various types of economic problems and making decisions is made. The article describes the quality characteristics of neural networks of various types that have been constructed. A sequence of formation and implementation of competitive strategies has been developed, which makes it possible to choose a more rational strategy based on a comprehensive account of the factors of variability in the actions of competitive positioning of a trading enterprise. An analysis of the quality of the multi-level perceptron model is presented. A classification of new cases based on a neural network model is developed. The use of this model allows us not only to assess the financial condition of the enterprise, but also to predict the future and its level depending on the values of financial and non-financial indicators. The main advantages of the proposed sequence is clearly pronounced multiplicity of actions on formation of the strategy; the presence of direct and reverse connections between the stages of the process that the VC eliminates not only strategic, but also analytical (information management), tactical (implementation strategy) and efficient (adjustment strategy) blocks that provide the quality of interaction of processes of strategy formation and its implementation. To solve the problem of analytical support for forecasting the competitive strategy of retail enterprises in the short term, the necessity of using the method of neural networks, which is a component of the system of methods for evaluating and predicting the activities of retail enterprises, is justified. It is proposed to form a long-term competitive strategy of a trading enterprise taking into account its cost, which is determined using a value chain model based on a balanced scorecard. This allows us to ensure an increase in revenue from sales of goods due to improved service, demand forecasting, compliance with contractual discipline, improving logistics, as well as increasing social responsibility of business, taking into account modern challenges of protecting the environment and introducing environmental Economics of the enterprise and social responsibility of business. © 2020, World Academy of Research in Science and Engineering. All rights reserved.

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APA

R. Ya., K. (2020). Application of Neural Technology for Prediction Competitive Strategy of Trade Enterprises. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 5601–5612. https://doi.org/10.30534/ijatcse/2020/20994202

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