Sales strategy mining system with visualization of action history

Authors:
Haruhi Satonaka;Wataru Sunayama
Affiliations:
Graduate School of Information Sciences, Hiroshima City University, Japan;Graduate School of Information Sciences, Hiroshima City University, Japan
Venue:
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
Year:
2013

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Abstract

Recently, sales data of a store is called POS (Point of Sales) data. POS data set of items that each customer purchased is highly expected to be utilized for creating new sales strategies. Though POS data is generally analyzed by data mining techniques, the results do not contain the fact why the customers purchased the items. Therefore, customers moving history in a store is important because such data is directly connected to the reason why they have bought items. However, it was difficult to obtain moving history data. In this paper, Sales Strategy Mining system that supports users to create new sales strategies with customers moving history is proposed. Moving history data is combined with POS data and visualized on the interface effectively. According to the experimental results, the system was effective to create new various sales strategies.