Dynamic O2O Resources Clustering Method Study

O2O is becoming popular in recent years. O2O encourages online selling and offline serving. A customer values a product or service by his/her habit or prefer. This action is affected by different factors. Customers take care for these factors differcently, but the core is to hope a better over all servicing experiences. This paper proposed a dynamic O2O resources clustering method. The proposed method is utilized into clothing market modeling, and 6 key factors were found via this model. Analysis show that the model has directed a right conclusion to the current O2O application in clothing market.