A Cost-Minimization Model to Optimal Packaging Size in E-commerce Context

Li, Yueyi; Zhang, Xiaodong; Wang, Pei

doi:10.1145/3377672.3378032

Cited by 1 publication

(1 citation statement)

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“…Packaging design plays a vital role in attracting consumer attention, conveying brand identity, and enhancing the attractiveness of products (Alhamdi, 2020;Azzi et al, 2012). The traditional packaging design process requires a large amount of manpower, time, and resources, resulting in high design costs and insufficient levels of innovation for small and medium-sized enterprises (Yueyi et al, 2019). However, thanks to the rapid development of artificial intelligence (AI), AI-generated packaging design presents a new solution where AI uses algorithms and data-driven methods to provide customized packaging designs and other related evaluation solutions (Liu, 2022;Shi, 2022).…”

Section: Introductionmentioning

confidence: 99%

Analyzing AI-Generated Packaging's Impact on Consumer Satisfaction With Three Types of Datasets

Chen,

Luh,

Wang

2023

International Journal of Data Warehousing and Mining

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The study quantitatively examines how AI-generated cosmetic packaging design impact consumer satisfaction, offering strategies for database-driven development and design based on this evaluation. A comprehensive evaluation system consisting of 18 indicators in five dimensions was constructed by combining literature review and user interviews with expert opinions. On this basis, a questionnaire survey on AI-generated packaging design was conducted based on three types of datasets. In addition, importance-performance analysis was used to analyze the satisfaction of AI-generated packaging design indicators. The study found that while consumers are highly satisfied with the information transmission and creative attraction of AI-generated packaging design, the design's functional availability and user experience still have to be improved. It is suggested that the public model be combined into the data warehouse to build an AI packaging service platform. Focusing on the interpretability and controllability of the design process will also help increase consumer satisfaction and trust.

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