In an increasingly customer-centric business environment, effective communication between marketing and senior management is crucial for success. With the rise of globalization and increased competition, utilizing new data mining techniques to identify potential customers is essential for direct marketing efforts. This paper proposes a data mining preprocessing method for developing a customer profiling system to improve sales performance, including customer equity estimation and customer action prediction. The RFM-analysis methodology is used to evaluate client capital and a boosting tree for prediction. The study highlights the importance of customer segmentation methods and algorithms to increase the accuracy of the prediction. The main result of this study is the creation of a customer profile and forecast for the sale of goods.

翻译：在日益以客户为中心的商业环境中，营销部门与高层管理之间的有效沟通对于成功至关重要。随着全球化的兴起和竞争的加剧，利用新的数据挖掘技术识别潜在客户对于直接营销工作至关重要。本文提出了一种用于开发客户画像系统的数据挖掘预处理方法，以提升销售业绩，包括客户资产估值和客户行为预测。采用RFM分析方法评估客户资本，并使用Boosting树进行预测。研究强调了客户细分方法和算法对于提高预测准确性的重要性。本研究的主要成果是创建客户画像并实现商品销售预测。