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AI Virtual Fitting Software

AI-powered fit technology for smarter, confident fashion e-commerce

AI Virtual Fitting Software Casestudy
  • Turn smartphone photos into 3D fits for personalized shopping.
  • Converting 2D images to a 3D body model
  • Best-Fit Size Recommendations
  • 3D Scan Support for Precision Fit

Building an AI-Powered Virtual Fitting Platform for a Fashion E-Commerce Consultancy

Overview
The Client

The digital fashion landscape was changing rapidly, and the client sought a solution that would bridge the gap between consumers and perfectly fitted fashion. Experion came up with an innovative approach that leveraged cutting-edge AI technology. We designed an AI-powered virtual fitting software solution that could convert 2D images into detailed 3D body models for making online fashion shopping more convenient, personalized, and satisfying.

The client is an e-commerce consultancy serving an Australian fashion brand that is recognized for its contemporary, sculptural take on women’s clothing. The brand balances feminine sensibilities with avant-garde techniques, and the consultancy set out to give its shoppers greater convenience and confidence when buying online.

Solving Business Challenges with Smarter Solutions

Challenges

Solutions

Challenges
Bridging the gap between shoppers and perfectly fitted fashion The digital fashion landscape was changing rapidly. Consumers wanted the convenience of online shopping without the uncertainty of whether a garment would fit.
Solutions
AI fit technology built for e-commerce fashion Our team applied cutting-edge AI to deliver a solution that connects consumers with perfectly fitted fashion, transforming how shoppers choose and buy apparel online.
Challenges
Capturing accurate body data without complexity Getting reliable body shape and measurement data typically demands specialized tools or effort from the shopper, which can often discourage adoption.
Solutions
2D to 3D transformation from everyday photos The AI-based solution captures multiple 2D images of a user and converts them into highly detailed 3D mesh representations. Shoppers need only two to six images taken on their smartphone.
Challenges
Turning body data into reliable size predictions Accurate size and shape prediction has to work across a wide range of body types, demographics, and ages, else the recommendations lose credibility.
Solutions
Intelligent 3D model estimation The 3D model estimator is trained on diverse anthropological datasets spanning demographics, gender, and age. It can accurately predict body measurements and shapes, enabling personalized dress size recommendations and fashion choices.
Challenges
Delivering personalization that reduces returns Generic sizing and one-size-fits-all suggestions lead to poor fit, lower satisfaction, and avoidable returns.
Solutions
Best-fit recommendations and personalized suggestions AI insights suggest best-fit product recommendations and apparel recommendations tailored to each user's body fit, creating a more engaging and enjoyable shopping journey.
Challenges
Enabling higher precision when required Some shoppers and use cases call for greater accuracy than photo-based estimation alone.
Solutions
3D scan input support The solution also accepts 3D scan inputs, ensuring a precise fit for fashion products.

Outcomes

AI Virtual Software
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The AI-powered virtual fitting software transformed a guess-and-return shopping experience into a convenient, personalized, and fit-confident digital journey.

  • Best-fit product recommendations minimizing returns and increasing customer satisfaction.
  • Fashion and apparel suggestions tailored to each user’s body fit.
  • Effortless 2D to 3D conversion from just two to six smartphone images.
  • AI-generated 3D profile avatars for a more immersive shopping experience.
  • Enhanced accuracy through 3D scan inputs.
  • Personalized size recommendations powered by models trained on diverse demographic, gender, and age data.

The solution made buying fashion online simpler, and more satisfying, setting the stage for a brighter e-commerce future.

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