Wolive – Online Shopping Application with Virtual Fitting Room

Abstract

The objective of this study was to provide an efficient and interactive online shopping experience to customers.  The fashion industry plays a pivotal role in the economic landscape of any nation. Traditionally, people are used to physical clothing stores. However, with the emergence of the digital era and recent increase in the number of online retail stores, more citizens have shifted to online shopping. While online shopping brings many benefits like time saving and worldwide accessibility, it also brings about problems of sizing and fitting or clothing relying only on measurements. In response to these problems, Wolive platform was developed. This is a fully functional online shopping platform with a virtual fitting room feature. Customers can browse through a wide range of clothes in the store and virtually try them on a 3-Dimensional model generated using Artificial Intelligence technology according to their precise measurements. This will portray the fit of the clothing item on the customer uniquely, helping in their decision-making process and improving efficiency of the overall shopping experience. Customers can then securely pay and place their orders. Wolive platform also provides functionality for site administrators to manage the inventory.