Enhanced Shopping Solution for Fashion Retail

Abstract

This research study proposes a complete system that has the potential to change the face of online fashion shopping. The solution has four crucial features: inventory control, augmented reality (AR) services, chatbots powered by artificial intelligence (AI), and sales management. All of these elements work together to improve the shopping experience and maximize revenue in the online fashion industry. Customers may virtually try on a variety of fashion goods, such as apparel, shoes, and sunglasses, thanks to the AR service, which encourages more interaction and well-informed purchase decisions. The AI chatbot completes this experience by offering individualized support, assisting clients in choosing appropriate clothing, responding to questions, and making suggestions based on unique tastes. To assure the success of the system, the research uses diligent data collecting, rigorous preprocessing, and purposeful data segmentation. Performance measures and equations are used to evaluate accuracy and efficiency. This project aims to indicate in a new era of online fashion retail where the virtual shopping experience competes with its physical equivalent in both engagement and convenience by smoothly combining these revolutionary components.