A popular online fashion retailer in the United States came to us with a common problem. Many customers were returning clothes because the size or fit was not right. We understood their concern. We suggested a Virtual Dressing Room using AR, AI, and 3D body scanning. This tool allows customers to try on clothes virtually and find the right size. The client liked the idea. They were happy to move forward with the solution.
PyTorch
Python
React
AWS
Unity 3D
The client struggled to help customers understand how a garment would actually look and fit on their bodies. Size charts and flat images often created confusion and led to wrong size choices.
Handling body measurements, photos, and other personal details needed strong security. The client wanted a safe way to manage this data without risking user trust.
Their eCommerce store was already running smoothly. Adding a virtual try-on feature without breaking current systems was a major technical concern.
The client wanted the virtual try-on to work well on different devices, screen sizes, and browsers, which required careful planning and testing.
The client also wanted users to feel comfortable with the virtual dressing room and trust the new experience. They needed a simple, user-friendly solution that customers could adopt easily.
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.
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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