Abstract
In this paper, we propose an automated marketing information system for recognizing customer buying behavior in a store using ultrasound sensor and support vector machine. Customer buying behavior means the acts of person involved in buying decision processes at selling area of retailers such as supermarket and shopping center. For example, customer stops in front of shelf, and stretches hand to grasp goods etc. These behaviors express signals of customers' interest in goods. In Japan, many retailers are in face of a difficult problem of low productivity of selling area. One of the biggest problems is that most retailers tend to overlook their customer's behaviors. The retailers must be aware of these customer behaviors as important marketing data in order to make the optimum sales promotion that is well suited to their customer behavior. By some experimental results, we verified that the proposed system can recognize customer buying behavior. The use of our marketing information system will do a lot for making a good example of raising the productivity of selling area using information technology.
