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FIT:MATCH.ai Self Scan

FIT:MATCH.ai uses advanced 3D body scanning and AI technology to create personalized fit profiles for users, helping them find clothing that fits their unique body shapes. By matching users with accurately fitting apparel, it aims to reduce returns, improve customer satisfaction, and enhance the overall shopping experience for both consumers and retailers.

FIT:MATCH.ai Self Scan 

FIT:MATCH.ai is revolutionizing the way women shop for bras by leveraging advanced technology to solve a pervasive problem: 92% of women are wearing the wrong bra size. By utilizing LiDAR-enabled smartphones to conduct precise 360-degree scans of a person's breast shape and size, ensuring highly accurate bra fitting, enhancing customer satisfaction and reducing returns. This product explores the challenges faced by the bra fitting industry, the innovative solutions, and the substantial impact on retailers and consumers.

 

The app continuously learns from user feedback and purchase history, enhancing its recommendations over time by providing a seamless, customized shopping experience.

The app continuously learns from user feedback and purchase history, enhancing its recommendations over time by providing a seamless, customized shopping experience.

Clients

Challenges

The traditional bra fitting process is fraught with inconsistencies and inaccuracies:

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  1. Incorrect Sizing: A staggering 92% of women are wearing bras that do not fit correctly. This discomfort and lack of support can lead to physical and psychological discomfort.

  2. Inconsistent Training: Professional bra fitting is becoming a less sought-after career, leading to a shortage of skilled fitters. Training for sales associates is inconsistent, resulting in varied size readings even within the same store.

  3. Privacy Concerns: Many women are uncomfortable with the traditional bra fitting process, which involves close physical contact and personal measurement, posing privacy concerns.

Role

  • Leadership Management and Collaboration

    • Led to a team of 18 global cross-functional teams.

    • Engaged and communicate with stakeholders to align project goals and expectations. 

  • User Experience Design

    • Developed comprehensive user journeys with correlating interaction flows. 

    • Created a seamless and engaging user experience through intuitive design and usability testing.

  • Product Lifecycle Management

    • ​Developed a detailed project plans, timelines, and milestones to ensure successful delivery.

      • Prototyped iterations accordingly to market research, Voice of Customer interviews, usability tests, and first time user research. 

      • Created a strategic 1 year product roadmap aligned with business goals

        • Code base stability ​

        • Pushed 30+ feature improvements to production in 45 days

  • Performance Monitoring

    • Defined key performance indicators (KPIs) to measure product success and inform decision-making.

    • Tracked project progress using KPIs and metrics, ensuring adherence to scope, time, and budget constraints.

      • ​88% NPS, 92% retention rate, and 94% customer satisfaction rate

  • Product Marketing

    • Identified and segmented target markets to tailor marketing strategies effectively.

    • Developed compelling product positioning and messaging to differentiate the product in the market.

    • Created and executed a comprehensive Go-to-Market strategy for product launches, including timing, channels, and promotional activities.

User Journey

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Interaction Flow

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Solutions

  1. LiDAR-Enabled 360 Scans: Utilizing LiDAR-enabled smartphones, FIT:MATCH.ai performs 360-degree scans of a woman's breast shape and size. This technology creates a digital twin of the user, ensuring privacy and accurate data capture.

  2. Algorithm-Based Recommendations: The algorithm processes the skin measurements from the scan to recommend the best band and cup size based on the user's unique breast shape and size. This method has a 94% accuracy rating in scanning and recommending bra sizes.

  3. Inventory Optimization: Suggest sister sizes if the user's preferred size is out of stock, optimizing inventory management and ensuring customer satisfaction.

  4. Privacy and Data Protection: Digital twin scans do not collect any of the patients personal data and or imagery that is. A digital twin is created from point cloud renderings and or matched from our pre-existing database of digital twins in which we can reconcile purchase history to show purchase recommendations.

    • “Your digital twins purchased XXX…”

Results

  • Our algorithm has a 94% accuracy rating in scanning and recommending bra band and cup sizes for brands like Macy's, Savage x Fenty, and Fabletics. As well as, determining inventory to provide sister size bras if the user's size is out of stock.

  • 88% NPS, 92% retention rate, and 94% customer satisfaction rate.

  • Users report significantly higher satisfaction rates due to better-fitting bras, enhanced comfort, and the convenience of the scanning process.

  • Retailers benefit from 40% reduced return rates, improved inventory management, and increased customer loyalty.

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