Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
Nowadays various kinds of data about customers behavior on online websites or applications can be collected for the marketing analysis. However, especially for the physical retailing stores, it is still difficult to acquire their behaviors on competing firms. In this research, we develop a novel approach of considering the usage of competitors and present the way to predict customers future purchase on retailing stores with ID-POS data combined with the third-party large-scale geofence location data collected from the smartphone apps.