The Experiment
Validating Innovation Through Real-World Testing
Experiment Timeline
Our comprehensive experiment was conducted from November 1st, 2025 to December 1st, 2025, providing us with one month of intensive user testing and data collection.
This period allowed us to gather extensive feedback, validate our technology across diverse use cases, and refine our platform based on real user experiences. The experiment encompassed multiple product features and engaged participants from various demographics, ensuring a comprehensive evaluation of our virtual try-on technology.
Experiment Procedure
Participants were given access to four distinct features of our platform, each designed to test different aspects of our virtual try-on technology:
Garment Fit
Users uploaded photographs of their own garments along with personal images. Our system generated multiple visualizations, each displaying the individual wearing the garment in different sizes (small, medium, large, XL, XXL, etc.), enabling users to compare fit across size options.
Try On
Participants pasted links to garments from various e-commerce platforms. Our technology processed these links and generated multiple images showing the user wearing the selected garment in different sizes, providing a comprehensive view of how each size would fit.
Try On With Add On
Building upon the Try On feature, users could enhance their virtual try-on experience by adding accessories such as jewelry and other styling elements. This feature generated images showing the individual in various garment sizes, complete with the selected add-ons, creating a complete styling visualization.
In-House Catalogue
We provided access to our proprietary catalogue featuring products that our machine learning models were specifically trained on. This allowed users to experience our technology with garments optimized for our system's capabilities.
Experiment Results
The experiment yielded exceptional results that exceeded our expectations and validated the transformative potential of our technology.
Key Findings
- Massive Participation: Approximately 15,000 individuals participated in our experiment, demonstrating significant interest in virtual try-on technology.
- Innovation Recognition: Participants consistently described our product as innovative and exciting, validating our approach to revolutionizing fashion retail.
- Exceptional Performance: Our machine learning models performed extremely well, exceeding our initial performance projections and demonstrating production-ready capabilities.
- Comprehensive Feedback: We received detailed feedback across various aspects of our platform, including feature preferences, accuracy assessments, and suggestions for improvement.
For detailed feedback and comprehensive insights from our experiment participants, please explore our dedicated feedback section.
View Detailed Feedback