User Feedback

Insights That Shape Our Future

Positive Reviews

The feedback we received has been overwhelmingly positive, with users expressing genuine excitement about our technology and its potential to transform their shopping experience.

Overwhelming Enthusiasm

Users were exceptionally excited to see themselves virtually try on various garments in different sizes. The core concept resonated strongly, with participants describing the experience as revolutionary and engaging. The idea itself proved to be a resounding hit.

High Fitment Accuracy

Approximately 86% of users found our fitment suggestions to be accurate and helpful. This high accuracy rate validates our machine learning approach and demonstrates the effectiveness of our size recommendation system.

Try On With Add On: A Standout Feature

The "Try On with Add On" feature emerged as the most popular option among participants. Users loved the ability to visualize themselves wearing garments from e-commerce sites enhanced with jewelry and other accessories. This feature was described as innovative and received exceptional praise.

Strong Try On Performance

The standard "Try On" feature was the second most utilized option, with users expressing satisfaction with the fitment results. Participants appreciated the convenience of pasting product links and receiving multiple size visualizations.

Improvement Feedback

We value constructive feedback as it guides our product development. The following areas were identified for enhancement:

  • Non-Traditional Garments: For certain clothing items that deviate from traditional outfit designs, the fitment accuracy and generated images were not as precise as desired. We are actively working to improve our model's handling of unconventional garment styles.
  • Brand Integration: Nearly all participants emphasized the importance of brand partnerships. Users expressed strong interest in a system where they can describe their preferences and receive product recommendations from partnered brands that match their requirements. This feature is now a top priority in our roadmap.
  • Expanded Add-On Selection: While users loved the existing add-on options, there is clear demand for an expanded selection of jewelry and accessories. We are committed to significantly growing our add-on catalogue.
  • In-House Catalogue: Our proprietary catalogue was utilized by only 9% of participants. Users prefer the freedom to select products from external sources rather than being limited to our training dataset. Based on this feedback, we will be discontinuing this feature to focus on more user-preferred options.
  • End-to-End Purchase Journey: Users want a complete shopping experience where they can seamlessly transition from virtual try-on to purchase. We are developing integration capabilities to enable direct purchases once users decide on their preferred items.

Our Next Steps

Based on the comprehensive feedback we received, we have outlined a clear roadmap for continuous improvement and expansion:

Model Enhancement

We are committed to improving all verticals of our machine learning models, enhancing accuracy across diverse garment types, body shapes, and styling scenarios.

Engineering Excellence

We are actively hiring additional engineers to fine-tune our models and develop high-quality, robust web and mobile applications that deliver exceptional user experiences.

Data Expansion

We are continuously expanding our training dataset to improve model performance, ensuring our technology handles edge cases and diverse scenarios with increasing accuracy.

Conversational Product Discovery

Once we onboard brand partners, we will build an innovative conversational interface where users can describe their preferences and receive personalized product recommendations from our brand catalogue.

Brand Partnerships

Brand onboarding is a critical priority. We are actively engaging with fashion brands to create partnerships that will enable users to access a wide range of products through our platform.

Commitment to Excellence

We are dedicated to incorporating this valuable feedback into our product development process. Your insights are instrumental in helping us build the future of virtual try-on technology.