In online business, it is important to launch sale campaigns for popular products in order to improve page access as well as purchase rates. Online shop owners need to hold campaign sales frequently throughout the year to keep customers coming back. Also, online sales campaigns have to adapt to external circumstances such as customers' needs and the surrounding economic situations. To cope with these requirements, we propose an adaptive system for automatically generating online sales campaigns. In this system, sale products, their price, etc. are automatically adjusted, 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 pages are semi-automatically organized, interacting with shop owners via a management page and a visual editor. Our system is ready to use heterogeneous data sources, including monitoring/mining the data of user's behavior such as eye gaze as well as economical and/or past sale data.
Digital eco-system for online shopping / T. Kawabe, Y. Yamamoto, S. Tsuruta, E. Damiani, A. Yoshitaka, Y. Mizuno - In: MEDES '13 : proceedings of the fifth International conference on management of emergent digital ecoSystems : Luxembourg, Luxembourg, october 29-31, 2013 : proceedings / [a cura di] L. Ladid, A. Montes, P.A. Bruck, F. Ferri, R. Chbeir. - New York : Association for computing machinery, 2013. - ISBN 9781450320047. - pp. 33-39 (( Intervento presentato al 5. convegno International Conference on Management of Emergent Digital EcoSystems tenutosi a Luxembourg nel 2013 [10.1145/2536146.2536178].
Digital eco-system for online shopping
E. Damiani;
2013
Abstract
In online business, it is important to launch sale campaigns for popular products in order to improve page access as well as purchase rates. Online shop owners need to hold campaign sales frequently throughout the year to keep customers coming back. Also, online sales campaigns have to adapt to external circumstances such as customers' needs and the surrounding economic situations. To cope with these requirements, we propose an adaptive system for automatically generating online sales campaigns. In this system, sale products, their price, etc. are automatically adjusted, 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 pages are semi-automatically organized, interacting with shop owners via a management page and a visual editor. Our system is ready to use heterogeneous data sources, including monitoring/mining the data of user's behavior such as eye gaze as well as economical and/or past sale data.
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