A Review of Fifty-Five Streetwear (Clothing Website)

The rapid expansion of the e-commerce fashion industry has increased the demand for intelligent online shopping systems that offer personalized, interactive, and reliable user experiences while maintaining efficient backend operations. Although existing e-commerce platforms incorporate features such as recommendation systems, inventory management, and improved website design, these components are often implemented independently, resulting in fragmented user experiences and limited decision support. In particular, the lack of real-time assistance and realistic product visualization remains a significant challenge for appearance- sensitive products such as clothing. This paper presents FIFTY FIVE, an integrated online shopping platform developed as a project-based research study. The proposed system combines AI-driven personalization, real- time chatbot assistance, and an AI-based virtual try-on feature that enables users to customize their appearance and visualize products before purchase. The platform follows a backend- focused, API-based architecture, with MongoDB used for managing users, products, and orders. An administrative module supports effective system management and operational control. By integrating intelligent user interaction with a scalable backend architecture, the proposed system bridges the gap between advanced technological capabilities and seamless user experience, contributing to the development of modern, user-centric e- commerce platforms.