A leading online fashion retailer from United States approached us to with a frequent challenge of high product return rates caused by sizing and fit issues. Upon understanding the problem statement, we proposed them a Virtual Dressing Room powered by AR, AI, and 3D body scanning. It enables customers to virtually try on clothes and receive accurate fit recommendations. The solution impressed our client and gave heads up to it.
PyTorch
Python
React
AWS
Unity 3D
The client struggled to provide customers with a clear understanding of how garments would look and feel and fit on their bodies. The standard size charts and static images often led to confusion and dissatisfaction.
Another challenge we as services provider faced was securely handling customer data including body measurements and images.
Our e-commerce platform was already well-established, and incorporating new virtual try-on features without disrupting existing operations posed a significant technical challenge.
The client wanted to deliver consistent, high-quality experiences across multiple devices and browsers.
Our client wanted to make customer feel familiar with the brand and building trust with user education.
Our AI developers build detailed digital replicas of garments using high-resolution scanning and cloth simulation algorithms.
We implemented encrypted cloud storage and anonymized data handling to ensure privacy compliance.
We then created plug-and-play APIs allowing seamless integration with Shopify, Magento, and other platforms.
Our designer created adaptive rendering for different devices and networking speeds.
Lastly, we introduced tutorial and gamified experiences to improve user engagement and trust.
We analyzed the client’s challenges, including sizing inaccuracies and low engagement, and identified key factors such as garment data, customer profiles, and integration needs.
Our team designed an architecture combining AR, AI, and 3D modeling, outlining user flows, try-on interfaces, and analytics dashboards for performance tracking.
We developed the virtual dressing room using AR SDKs and AI-driven size recommendation algorithms, integrating it seamlessly with the client’s e-commerce platform.
Extensive testing ensured realistic virtual try-ons, accurate size predictions, and a smooth user experience across multiple devices and browsers.
After validation, we launched the solution on the client’s online store, allowing customers to virtually try on clothes and shop with greater confidence.
We continue to update the system with new data, refining AI models and improving accuracy to adapt to evolving user behavior and fashion trends.
Customers made more accurate purchases after using the virtual try-on feature.
Enhanced confidence led to higher sales and fewer abandoned carts.
Interactive AR features increased session time and repeat visits.
Retailers using the solution were perceived as tech-savvy and customer-centric.
Retailers gained valuable insights into shopper preferences and trends.
Fewer returns led to reduced packaging waste and carbon footprint.
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