Abstract
Online mispriced product incidence has been increased dramatically in recent years. Unlike brick-and-mortar retailers, pricing error brings more financial or custom relation loss to online shopkeepers. Hence, to avoid significant losses caused by mispricing products, it could be a benefit if a vendor can prevent this human carelessness during stocking online. In this article, we present a misprice preventing mechanism which based on the concept of web price mining. Via using business process modelling, our method has the flexibility to replace any algorithm components as well as integrated with any reference sites easily. Experimental results indicate that our mechanism can prevent mispricing product in most cases.