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Promoting fashion customer relationship management dimensions based on customer tendency to outfit matching: mining customer orientation and buying behaviour

机译:基于客户倾向于装备匹配的促进时尚客户关系管理尺寸:采矿客户方向和购买行为

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摘要

The purpose of this study is to mining dimensions of customer relationship management (CRM) based on consumer tendency to outfit matching. Consumers are clustered into groups based on descriptive variables, consumer desire to outfit matching and customer relationship dimensions. According to the results of this research, female customers with the age 30 or younger, who have a bachelor degree and are single, are inspired to outfit matching and prefer customer involvement dimensions. Also, long-term partnership is the most significant dimensions of CRM for consumers who do not engage in outfit matching. Then, association rules were applied for extracting customer buying behaviour that influence customer tendency to outfit matching. These results can be useful for the fashion industry to apply more effective CRM systems and customise them with customer's preferences and behaviour analysis. Compared with traditional techniques, the data mining methods have great potential for investigating customers' preferences.
机译:本研究的目的是基于消费者倾向于搭配匹配的消费者倾向来挖掘客户关系管理(CRM)的占用。消费者基于描述性变量聚集成群组,消费者愿意匹配和客户关系维度。根据本研究的结果,女性客户拥有30岁或以下的人,他们拥有学士学位和单身,都是启发到匹配和更喜欢客户的参与维度。此外,长期合作伙伴关系是CRM对于不啮合搭配的消费者最重要的尺寸。然后,申请关联规则用于提取客户购买行为,这些行为影响客户倾向于装备匹配。这些结果对于时装行业可以应用更有效的CRM系统并通过客户的偏好和行为分析定制它们。与传统技术相比,数据挖掘方法具有调查客户偏好的巨大潜力。

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