The Improvement of Community Group Purchasing System Through Data Technology and Data Integration Final paper of Business Analytic in Action

Abstract

In this paper, our research mainly discussed the new business model emerging in China, the Community Group Purchasing (CGP) system. We researched the CGP system's upsurge and critical characteristics, seeking its advantages and weaknesses. The main objective of this research is to derive ideal methods to improve the efficiency of the Community Group Purchases industry. This study referred to CGP industry reports, secondary survey outcomes, and academic research papers. Our research used model, data, and geographical conditions analysis to achieve our goal. Our research put forward an innovative CGP logistics model, which involves the new business model of cooperation with local stores and supermarkets, data integration to aggregate goods information and enhance the overall goods mobility, and data technology to plan the most suitable delivery route and to predict the future demand and make better plans. Although this innovative model is somewhat difficult to be implemented, this model can be applied to different kinds of cities and increase the overall efficiency of CGP mode. It is a significant step toward improving the Community Group Purchase industry.