In order to enhance students’ satisfaction with community group buying services, this study focuses on improving the service quality of community group buying in university communities by taking into account customer needs. Firstly, we conducted interviews and reviewed literature to understand the current status of community group buying at M University, as well as the key focus for students when utilizing these services. Secondly, we utilized an improved SERVQUAL scale to establish an evaluation system for the service quality of community group buying at M University, and categorized the quality factors reflecting customer needs using the KANO model. Then applying the Importance-Performance Analysis (IPA) method, we analyze and figure out the importance and satisfaction of these quality factors among M University students. Afterward, we employed the integrated KANO-IPA model to determine the priority order for maintaining and improving the quality factors of community group buying. The last but not least is that we propose strategies for enhancing customer satisfaction in community group buying at M University owe to the combination of automation and intelligent technologies.