Design of Children’s Product Packaging Preference Based on Big Data Machine Learning

Abstract

Children’s product packaging is also gaining more and more attention from the society as the hope of the future of the homeland and the most interested groups of the society. However, the current packaging design for children’s products is uneven and lacks a good user experience. Therefore, the packaging design of children’s products needs to be improved urgently. Therefore, this article uses big data and machine learning technology to first investigate the packaging preferences of children’s products, and on this basis, designs a product packaging style that is more in line with the current children’s preferences and needs, which provides a reference for subsequent related research. In order to find out the preference of children’s product packaging under big data machine learning, this article uses the literature method, questionnaire survey method, interview method, experimental method, and other research methods to conduct research on the basis of previous research. The results of the study show that the packaging preferences of children and parents for children’s products are mainly affected by the color, type, and material. Children’s products of different colors have different attractiveness to children of different ages, and the difference can reach more than 20%. Parents’ children’s products are mainly affected by the materials and uses of the products, and products that are useful for children’s education and growth are more favored by parents. This shows that if companies want to increase the sales of children’s products, they need to consider the ideas of children and parents at the same time to achieve their goals.