Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability
Decision Support Systems
Generating Dual-Directed Recommendation Information from Point-of-Sales Data of a Supermarket
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Extracting the Potential Sales Items from the Trend Leaders with the ID-POS Data
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Video-based conjoint analysis and agent based simulation for estimating customer's behavior
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
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This paper presents an investigating customer walking paths in a super market. So far, such investigations have cost very much to examine in real situations. For this reason, at first, we observed an actual retail store and analyzed sales data such as POS (Point Of Sales). From the results of the observation, we made use of the paper RFID tags in this research. Compared with the conventional methods, it is not only easy to collect data for walking paths with patched RFID tags but feel the customers to the tag putting on the basket which issues are characterized as the research. Intensive experiments have revealed that the flow of customers, which is related to the point of the Reward Card. This method will make use of the sales increase factors; the design of a store, item layout, the places of in-store advertisement and so on. The result of the gathering data from the device enables us to carry out "virtual experiments" through changing various parameters of retail businesses and store operations if we adapt to the simulator.