Integrating data mining into retail customer service has revolutionized how businesses understand and interact with consumers, driving personalized experiences and operational efficiency. By analyzing vast datasets, retailers uncover patterns in customer behavior, optimize service delivery, and mitigate risks, ultimately fostering loyalty and competitive advantage. The data mining technology in Customer Relationship Management (CRM) can make classification, clustering, and association analysis of customer behaviors according to set models to convert the data into useful information to support operating decision-making. This paper discusses a few aspects of how data mining has impacted business operations and its transformative role in retail customer service.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Using Data Mining for Effective Customer Relations in the Retail Sector

  • Amitava Karmaker

摘要

Integrating data mining into retail customer service has revolutionized how businesses understand and interact with consumers, driving personalized experiences and operational efficiency. By analyzing vast datasets, retailers uncover patterns in customer behavior, optimize service delivery, and mitigate risks, ultimately fostering loyalty and competitive advantage. The data mining technology in Customer Relationship Management (CRM) can make classification, clustering, and association analysis of customer behaviors according to set models to convert the data into useful information to support operating decision-making. This paper discusses a few aspects of how data mining has impacted business operations and its transformative role in retail customer service.