increase consumer participation and understanding of sustainability. This means creating an augmented reality (AR) digital twin system that enables online shoppers to realistically experience how things affect the environment throughout the course of their lifetimes. This study introduces a AR-based digital twin system using popular concepts such as circular consumption loops and responsive supply chains. The project builds a virtual world where four seasonal quick trend products locate their digital twins in the eyes of consumers by using OpenLCA software for thorough life cycle analysis. With their ability to traverse each step of the production process, these digital twins offer a comprehensive awareness of environmental effect parameters. The study entails building digital twins providing immersive experiences in the virtual fashion business and deploying an augmented reality interface to help buyers understand the environmental repercussions of their purchases. User testing was used to assess the methodology presented in this study, with the Linear Regression Model of consumer behavior serving as a guide to distinguish it from traditional online shopping. The results show that efforts to promote sustainable practices in fast fashion and to increase customer knowledge and purchasing behavior have been significantly successful. The present study represents a significant advancement in the integration of technology and sustainability in the fashion industry and online shopping, as it accesses new avenues for the development of immersive experiences tailored to environmentally conscious consumers.
Saha et al. (Tue,) studied this question.