Project Overview
ReStyle aimed to revolutionize the virtual try-on experience for glasses and hairstyles using cutting-edge AI technology. With a validated prototype, they approached us in early 2023 to develop a fully functional SaaS platform that would enhance customer engagement and operational performance. The project evolved into a market-ready product that garnered significant attention, culminating in its acquisition by a larger company.
Goals
• Build a proprietary AI pipeline capable of delivering realistic and responsive virtual try-ons for hairstyles and glasses.
• Optimize the system for real-time performance, ensuring smooth user experiences.
• Incorporate real-world feedback to refine the platform, improving both functionality and ease of use.
• Deliver a scalable SaaS platform designed for widespread adoption.
Challenges
1. Tight Timeframe:
Delivering a polished, high-quality product within a few months required streamlined development and execution.
2. Fast Feedback Integration:
Incorporating user feedback quickly, without interrupting progress, was critical for refining the platform.
3. AI Accuracy and Reliability:
Creating a generative AI model that could reliably produce accurate and visually appealing outputs was critical. Errors or inconsistencies in simulations could undermine user trust, so rigorous validation and testing were necessary.
4. Scalability:
Designing a platform capable of handling enterprise-level usage while maintaining responsiveness and reliability presented significant technical challenges.
Solutions
1. Proprietary AI Pipeline Development:
Generative Adversarial Networks (GANs): Built a sophisticated AI pipeline leveraging GANs to produce high-quality virtual try-ons for hairstyles and glasses. The outputs were designed to adapt dynamically to user inputs, ensuring realism and responsiveness.
Validation Framework: Implemented a robust validation system to test AI-generated results, eliminating inconsistencies and ensuring the highest quality simulations.
2. Iterative User Feedback Integration:
Integrated real-world user feedback at every stage of development to refine features, improve usability, and address pain points.
Conducted multiple rounds of testing and iteration to align the platform with user needs and expectations.
3. Real-Time Processing and Scalability:
Enhanced the platform’s processing capabilities to ensure smooth, real-time interactions on various devices, including low-powered systems.
Designed a scalable backend architecture capable of supporting future growth and enterprise-level adoption.
4. Transparent Collaboration:
Maintained open and proactive communication with ReStyle’s team to adapt to changing requirements and ensure alignment on project goals.
Leveraged teamwork to solve complex challenges efficiently and deliver a polished final product.
Results
Market-Ready in 8 Months:
Delivered a fully functional platform within a tight timeline, despite complexity and challenges.
Strong Market Traction:
The platform quickly gained attention from both individual users and businesses, with strong initial adoption.
Successful Acquisition:
The platform’s quality and market potential led to its acquisition by a larger company, marking a successful outcome for the project.
Positive User Feedback:
Users consistently praised the platform’s ease of use and realistic outputs, describing it as a transformative tool for trying on new looks.
"We have worked with Giorgio and team on machine learning (GAN, Generative), computer vision, and image processing software development for over two years. They has provided crucial staff augmentation for us to build enterprise software for several large US public corporations in the beauty, apparel, and social media industries. 10xStudio engineering performance is rock solid, with proactive communication, collaboration, and delivery. In addition, Giorgio has proven to be a valued PhD advisor for our technology and strategic roadmap discussions.
We wholeheartedly endorse them, and are available for a reference call.”
– Xin Chung, CEO ReStyle