基于大数据驱动的个性化产品包装设计研究

Research on personalized product packaging design driven by big data

为解决传统产品包装高度相似的问题,提出了基于大数据驱动的个性化产品包装设计方法。首先获取消费者喜好信息,使用聚类分析技术提取包装喜好元素,然后根据此元素与消费者定位结果实现产品定位,通过图像、文字以及色彩等描述产品包装特征,完成包装元素设定,最后根据产品特征选用包装原料,完成包装设计。结果表明,相对其他方法,基于大数据驱动的设计方法能够获得更加理想的产品包装设计效果,有利提升产品的销售能力。

To solve the problem of high similarity of traditional product packaging,this paper proposes a personalized product packaging design method based on big data driven.Firstly,it uses cluster analysis techniques to extract packaging preference elements based on the achieved information of consumer preferences.Then it realizes the product positioning according to this element and the results of consumer positioning,and completes the packaging element setting through image,words,color and other descriptions of product packaging characteristics.Finally,it selects packaging materials according to the product characteristics to complete the packaging design.The results show that the design method based on big data driven can obtain more ideal product packaging design effect compared with other methods,and is beneficial to improve the sales ability of products.