Application of Personalized Packaging Design using Artificial Neural Network with Grey Wolf Optimization

The packing of products takes a significant part in attracting the consumers to purchase the product as well as helping as brand communication. Over 73% of purchasing decisions are developed essentially for sale. An improved demand as well as attractiveness of the products can easily attract the consumers. The consumer can observe the quality of the brands, which has been developed into the package, which may be proficient by number of design components. Shape, image, color as well as package suitability are the significant design components in every product brand. Hence, this research proposes the Artificial Intelligence (AI)-based approach for the Personalized Packaging Design. This paper developed the framework utilizing the Artificial Neural Network with Grey Wolf Optimization (ANN-GWO) for package design. The model can be trained by using ANN-GWO and the output of the model is compared with the expert estimation outcomes. The experimental results show the proposed method attains the scalability of 0.73 and 0.88 for before and after using ANN.