Abstract
A study cafe is a new form of learning environment that combines a study room and a cafe. Regarding the COVID-19"s impact, the unmanned platform has become the new normal. The number of unmanned study cafes, launched by individuals, is rapidly increasing due to lower labor costs. Despite strong growth and promising market potential, little research on customer relationship management in unmanned study cafes has been conducted. Unlike franchises, the founder of an individual business must learn customers from the ground up. As a result, the purpose of this research is to provide a framework for individual founders to use in developing CRM strategies for their own unmanned study cafe. To accomplish this, analyze transaction data to better understand customers" untact transaction behavior and usage patterns, and also provide an example of customer segmentation approach using machine learning classification model so founders can plan practical CRM strategies based on the customer groups.
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