Moskva, Moscow, Russian Federation
This article examines competitive analysis tools, particularly price monitoring, as an element of assortment management systems in small retail businesses. In the context of high consumer price sensitivity and increasing competition from marketplaces, the use of data on competitors' pricing policies is becoming an important factor in improving the effectiveness of management decisions. Particular attention is paid to the practical aspects of collecting, processing, and using market price information, as well as the impact of this data on pricing strategy development, assortment optimization, and improving business financial performance. Based on the analysis of the practical case of a representative of a Russian small commodity business operating in the segment of building materials and household goods, it is shown how the transition from manual price monitoring to an automated system affects business efficiency. Before the introduction of the robot, analysts spent up to 70% of their working time collecting and comparing prices, and 15% of the product range was regularly sold at dumping prices, which led to lost profits. Manual data collection required additional staff to scale — about 3 people with expenses of about 1.5 million rubles. per year, and errors in data collection were up to 10%. After the introduction of the automated system, monitoring time was reduced by 90%, and dumping losses decreased by 2.7 million rubles. per year, and operational efficiency increased by 30%, which freed up employees for strategic tasks. As a result, the company's total revenue increased by about 5% (≈0.9 million rubles/year).
small business, retail, competitive analysis, price monitoring, assortment management, management decisions, digital tools
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