Russian Federation
In the context of growing competition in the market, technologies capable of promptly assessing the competitiveness of companies and their products are becoming relevant. This article is devoted to the development and application of automated competitiveness analysis systems that allow collecting, processing and analyzing data on competitors in real time. The main approaches to creating such systems are considered, including the use of machine learning methods, web scraping and big data analysis to collect information on prices, product range, customer reviews and competitor positioning. Examples of successful implementations of such systems in various industries are given, and possible problems and limitations in their use are discussed. The results of the study show that automation of the competitive analysis process not only increases the accuracy and speed of data processing, but also provides businesses with additional tools for strategic planning and decision-making.
automated systems, competitiveness analysis, competitive analysis
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