The growing volume of sales increases the importance of analysis tools, most of which are built on the principles of knowledge discovery in databases, which raises the problem of choosing optimal schemes for storing and processing OLAP cubes. The article presents the structure of the auto dealer's analytical system. A data warehouse structure and a set of models for the sales analysis process of a dealership auto center have been developed. The methodology of car dealer sales analysis is established. The article also notes that in modern economic conditions, it is especially important to monitor trends in decline or growth in the activity of auto centers, to identify promising and unpromising types of components, as well as those products that require certain efforts to manufacture and promote them on the market. Carrying out intelligent data analysis allows you to formulate specific and targeted management decisions in terms of increasing the synergistic effect from product sales, which is especially important in modern economic conditions. The article describes the methodology for analyzing car dealer sales. A data warehouse structure was developed, statistical data and data sets for analysis were collected, and a set of models and reports was created to analyze dealership sales. The effectiveness of the proposed research is demonstrated. Keywords: sales, predictive analysis, sales, data mining, data segmentation.
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