Abstract:

In this research; It is aimed to determine what information the fashion expert systems, which offer suggestions to consumers in e-commerce, collect directly from the consumer in order to identify the consumers and determine their clothing and purchasing behavior. In addition, it is also among the aims of the research to reveal whether there are significant relationships between the various characteristics of businesses and the number of questions they ask customers. It is a survey model research. The surveys were made over the internet. 30 enterprises selected by judgmental sampling from the research universe constituted the sample of the research. Research data were collected using observation forms. Collected data are classified. The frequency and rates of data included in the classifications in the sample were determined. Significant differences were sought between the number of questions asked by e-commerce businesses and some other features. It was observed that the data requested by fashion expert systems directly from their customers were collected in 3 main classes. These are; data on describe personal characteristics, data on customer's purchasing behavior and data on determine the customer's dressing habits and style. However, it was concluded that the data for determining the purchasing behavior, dressing habits and styles of the customer were directly requested from the customer by a few expert systems.

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