In a sales promotion task, suppliers prepare and present the sales promotion proposal plans for negotiating with retailers' buyers what commodities they should sell. For the electronic sales promotion tasks, a B-to-B EC system using mass customization technology has been developed. In this system, a standard sales promotion proposal plan is modified with customization rules for each retailer. The customization rules vary by the retailer's conditions. Furthermore, the effective lifetime of the customization rules is very short because of the appearance of new commodities and seasonal changes. Therefore, the rules should be generated automatically.
This paper proposes a customization rule generation method from sales log data for mass customization technology. Customization rules determine the related commodities from a target retailers' conditions and an arbitrary commodities on the standard plan. In proposal method, these rules are generated based on correlative probability, existence probability, and reverse correlative probability according to the related commodities from order transactions. The related commodities for target customization rules become the addition commodities for personal sales promotion proposal plan.
The proposed method has been applied to real log data in wholesale industry. It is confirmed that the proposal plans from customization rules are efficient for sales promotion task.
抄録全体を表示