Towards Self-Organizing Internet of Things - Aware Systems for Online Sales
Yukiko Yamamoto, Takashi Kawabe, Setsuo Tsuruta, Ernesto Damiani, Atsuo Yoshitaka, Yoshiyuki Mizuno, Rainer Knauf · 2015
In online business, it is important to construct sale web pages offering attractive services for popular products in order to improve page access as well as purchase rates. Moreover, online shop owners need to hold various types of (campaign) sales frequently throughout the year to keep customers coming back. Also, online shopping systems have to adapt to its circumstances such as customers' needs and the surrounding economic situations. To cope with these requirements, a self-organized IoT Internet of Things (IoT) systems is proposed for online shopping. In these systems, on-sale products, the price, etc. are automatically adapted, using knowledge or information acquired by being aware of users' needs such as discount request, product stock, product popularity, and so on. Thus, campaign sales are semiautomatically organized, interacting with shop owners using a management page and a visual editor of our system. In our approach, awareness is achieved by monitoring/analyzing the data of user's behavior such as eye gaze and posture.