Integrating AR into E-Commerce Platform for Cloth Shopping

Abstract

Online shopping for clothing has grown rapidly, but customers often face difficulty in deciding whether a particular outfit will suit them, as they cannot physically try it before purchase. This project focuses on enhancing the online shopping experience by integrating Augmented Reality (AR) into an e-commerce platform for clothing recommendations. The proposed system allows users to virtually try on clothes using their mobile device camera, providing a real-time visualization of how garments appear on their body. The system also incorporates an AI-based recommendation module that suggests clothing items based on user preferences, body type, and browsing history. By combining AR visualization with intelligent recommendations, the platform helps users make more confident purchasing decisions. The proposed solution reduces uncertainty, minimizes product returns, and improves overall customer satisfaction.

Introduction

The text describes an Augmented Reality (AR)-based online clothing shopping system designed to improve the customer experience in e-commerce.

Traditional online shopping has a major limitation: customers cannot try clothes before buying, leading to uncertainty about fit, appearance, and high return rates. To solve this, the proposed system introduces a virtual try-on feature using AR, allowing users to see how clothes look on their body in real time through a camera interface.

The system also includes an AI-based recommendation module that suggests clothing based on user preferences and browsing behavior, helping users find suitable items faster. The platform supports browsing, filtering, cart management, and checkout, all within a simple user interface.

The methodology involves user login, product browsing, AR-based try-on, personalized recommendations, purchase processing, and performance evaluation. The system architecture connects the user interface with AR, AI recommendation, product database, and payment modules.

Results show that the system improves user engagement and decision-making by making shopping more interactive and realistic. Although minor issues like alignment and lighting sensitivity exist, the overall system enhances convenience, reduces uncertainty, and demonstrates how AR can modernize online fashion shopping.

Conclusion

The Augmented Reality based virtual try-on system for clothing was successfully designed, developed, and tested. The main objective of the project was to provide users with an interactive and realistic shopping experience, and this objective was achieved. The system allows users to browse clothing items and visualize them using AR technology before making a purchase. This helps users understand how the clothing will look, which reduces uncertainty and improves confidence in selecting products. The integration of different modules such as the user interface, AR virtual try-on module, AI recommendation system, product database, and checkout process worked effectively. The AR module displayed clothing items on the virtual model in real time, while the AI recommendation module suggested relevant items based on user preferences. This combination improved user engagement and made the shopping experience more personalized. The system also allowed users to add items to the cart and complete the purchase smoothly, ensuring an end-to-end workflow. The results showed that the developed system can enhance online shopping by providing better visualization of products. Users can make informed decisions without physically trying the clothes. This reduces the chances of wrong selection and helps minimize product returns. Additionally, the system improves convenience as users can explore multiple clothing options quickly and easily. The storage of user data and history also helps in providing improved recommendations for future use. However, some limitations were observed during testing. The performance of the AR module depends on camera quality and lighting conditions. In certain situations, minor misalignment of clothing was noticed when the user moved quickly. These limitations can be addressed in future work by improving tracking algorithms, using advanced AR frameworks, and optimizing system performance. Adding more features such as size detection, body measurement, and real-time adjustments can further enhance the system. In conclusion, the proposed AR-based clothing try-on system successfully demonstrates the use of Augmented Reality in e-commerce applications. The system improves user interaction, enhances visualization, and provides personalized recommendations. It helps users make better purchase decisions and increases overall customer satisfaction. Therefore, the implementation of Augmented Reality in online clothing platforms has strong potential to transform the shopping experience and represents an important step toward the future of digital retail.

References

[1] Lee, Sangyun; Gu, Gyojung; Park, Sunghyun; Choi, Seunghwan; Choo, Jaegul. “High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.” Lecture Notes in Computer Science, vol. 13677, pp. 204–219, 2022. Presented at ECCV 2022. [2] Cho, Yunmin; Ray, Lala Shakti Swarup; Thota, Kundan Sai Prabhu; Suh, Sungho; Lukowicz, Paul. “ClothFit: Cloth?Human?Attribute Guided Virtual Try?On Network Using 3D Simulated Dataset.” IEEE International Conference on Image Processing (ICIP), October 8–11, 2023. [3] Shufang Zhang, Minxue Ni, Lei Wang, Wenxin Ding, Shuai Chen, Yuhong Liu. “A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance (PE-VITON).” IEEE Transactions on Multimedia, 2024. [4] Hwang, J. (2024). Impact of Augmented Reality (AR) and Virtual Reality (VR) on Retail. Magna Scientia Advanced Research and Reviews, 12(1), 295–307. Magna Scientia Publications. https://doi.org/10.30574/msarr.2024.12.1.0165 Singh, P., Khullar, P., Singh, S., & Kaur, A. (2024). “Augmented Reality (AR) and Virtual Reality (VR) in Online Shopping: A Review of Current Research.” International Journal for Multidisciplinary Research (IJFMR), 6(4), 1–7. https://www.ijfmr.com [5] Singh, P., Khullar, P., Singh, S., & Kaur, A. (2024). Augmented Reality (AR) and Virtual Reality (VR) in Online Shopping: A Review of Current Research. International Journal for Multidisciplinary Research (IJFMR), 6(4), 1–7. IJFMR Publications. https://www.ijfmr.com [6] Kumar, T. S. (2021). Study of retail applications with virtual and augmented reality technologies. Journal of Innovative Image Processing, 3(2), 144–156.. [7] Venkateswaran, P. S., Arnone, G., & Balaganesh, D. (2024). Revolutionizing ecommerce: The shift with augmented reality and virtual reality. AVE Trends in Intelligent Technoprise Letters, 1(1), 1–12.

Copyright

Copyright © 2026 Kirti Pawar, Abhishek Gaund, Sarvesh Chate, Hemakshi Rathod, Rajdeep Gaikwad. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.