ABSTRACT
A customer’s identification (ID) (i.e., the information identifying each customer) tends to be missed when RFID tags are attached to items in a retail store because of privacy concerns.5 This has been regarded as an obstacle in predicting a customer’s attitude about each item. In this chapter, we consider the circumstance in which RFID tags are used. Although individual customers cannot be distinguished, we can obtain data about the group behavior of customers. By applying the concept of chance discovery (i.e., to discover an event significant for decision making), in Section 17.2, we first show how an expensive cheese can be meaningful even if we do not discount its price. Based on this idea, we experimentally show that the data on the group behavior of customers in the real space are recorded with ID-less RFID tags and that the visualization of the data with KeyGraph, a data visualization tool for chance discovery, aids the discovery of new values in the market. This expectation is validated by experiments in a library.
