With the advent of coffee pairing apps, consumers can easily obtain various coffee pairing information. Through this, various coffee pairing experiences can be improved. As a result, companies and companies can use the provided pairing information in their marketing strategies without the help of experts. Taking advantage of this need, the purpose of this study was to develop a coffee pairing app development plan in order to derive a new marketing mix strategy for the coffee industry. Accordingly, this study sought a way to develop a coffee pairing app by utilizing coffee pairing data derived from consideration of previous research and Open AI's ChatGPT. We fine-tuned the ChatGPT model using the derived coffee pairing information, and succeeded in receiving coffee pairing information by connecting the model to the server through prompt engineering. In addition, React Native, a JavaScript framework, was used to develop mobile apps, and Node.js, a JavaScript runtime, and Express.js, a web framework of Node.js, were used for server-side development. As a result, we confirmed that the development of a coffee pairing app can be established as an essential tool that can meet the diverse needs of consumers along with the spread of coffee culture and the growth of the specialty coffee market, and that the coffee pairing app proposed in this study It was predicted that there would be a similar utilization plan. First, personalized recommendations are possible. Second, a marketing strategy can be promoted from two perspectives(coffee pairing provision perspective and utilization perspective). Third, educational use is possible.
Ⅰ. 서 론
Ⅱ. 이론적 고찰
Ⅲ. 연구 과제 및 개발 방법
Ⅳ. 결론 및 시사점
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