The Application of Big Data Processing Technology in Packaging Design

In order to solve the problem of high similarity in traditional product packaging, the author proposes a personalized product packaging design method based on big data-driven. Firstly, obtain consumer preference information, use clustering analysis technology to extract packaging preference elements, and then achieve product positioning based on this element and consumer positioning results. Describe product packaging features through images, text, and colors, complete packaging element settings, and finally select packaging materials based on product features to complete packaging design. The results indicate that compared to other methods, big data-driven design methods can achieve more ideal product packaging design results, which is beneficial for improving product sales capabilities. It emphasizes the combination of theoretical knowledge and practical experience. Students need to understand the entire process of packaging design, including packaging design overview, preliminary preparation for packaging design, content of packaging design, and improvement of packaging design: The packaging overview section mainly discusses the basic knowledge of packaging design and the development of packaging.