From General to Specialized: AI in Electronic Shopping Amazon Go and Google Lens are powerful AI tools that recognize various electronic shopping items. However, their accuracy may need to be improved in some specialized regions. For example, if you are looking for a specific style of clothing, a general-purpose AI tool may not be able to meet your needs. More focused data processing and model training is necessary to achieve higher accuracy. By collecting small-scale data to train AI models and using pre-trained models like ChatGPT, we can create personalized clothing style recommendations for a better shopping experience. We have to admit that general-purpose AI is useful, but exploring specialized AI data and using pre-trained models can create tailored and practical AI applications for convenience and innovation in daily life and work.