Mining customer knowledge to implement online shopping and home delivery for hypermarkets
作者： Shu-hsien Liao , Yin-ju Chen , Yi-tsun Lin
DOI: 10.1016/J.ESWA.2010.09.059
关键词:
摘要: With advances in modern technology, the Internet population has increased year by globally. For young customers who consider convenience and speed as prerequisites, online shopping become a new type of consumption. In addition, business-to-customer (B2C) home delivery markets have taken shape gradually, because virtual stores risen developed, e.g. mail-order, TV marketing, e-commerce. To integrate above statements, this study combines delivery, attempts to use association rules determine unknown bundling fresh products non-fresh hypermarket. Customers are then divided up clusters clustering analysis, catalog is design based on each cluster's consumption preferences. By method, increase catalogue's attraction customers, hypermarkets offered an business model for sales services propositions. such model, we can expect attract more open broad markets, earn higher profits hypermarkets.
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