Abstract:
A merchandise selection system comprises a merchandise trial selection module, a sales volume prediction module, and a targeted selling module. The trial selection module determines a set of trial parameters including city information, product information, price information, and trial period information. The sales volume prediction module determines estimated sales volume for a product during a sales period in a selected city based on trial result. The targeted selling module determines to feature the product for the sales period in the selected city if the estimated sales volume meets a threshold. The merchandise selection system provides better prediction result, facilitates precise planning, and enables better control of shelf space in each city.
Abstract:
A system and method of combining group buying with regular selling is provided. A group-buying company advertises a first product for sale from a group-buying website. The first product is a group-buying deal with deep discount offered for a short period of time. The group-buying websites also provides recommendation information on one or more products based on the first product. The one or more recommended products are supplied by another non-group-buying company. Consumers are able to purchase the one or more recommended products from the group-buying website.