The challenge
FIT:match developed Reflect, a 3D digital twin platform powered by RealSense™ depth technology, enabling accurate, real-time body scanning and hyper-personalized fit recommendations with privacy at its core.
The solution
Powered by an active stereo depth sensor and AI algorithms, BioAffix® Gate Vision integrates RealSense™ biometric facial authentication technology with identity badging to deliver secure and private access-control solutions.
The results
With RealSense™ sensors at the foundation, Reflect delivers 5× higher conversion, up to 80% fewer returns, and 25% higher order values—while scaling seamlessly across retail stores, gyms, clinics, and home environments. The platform’s precision, speed, and adaptability are redefining fit across industries, building user trust and transforming how people engage with their bodies and products.
FIT:match technology, powered by RealSense sensors and proprietary AI, delivers non-invasive 3D body scanning and real-time data analysis.
Its platform serves retail, fitness and wellness and healthcare, offering personalized recommendations for consumers, athletes, and clinicians.
Moving Beyond 2D Body Measurement
Fit is one of the most persistent challenges in the apparel industry. The traditional sizing system relies on two-dimensional metrics — the waist, chest and hip areas captured by a tape measure— unable to measure the complex, three-dimensional shape of the human body. This leads to customer frustration, costly returns and lost loyalty. Retailers struggle to meet the needs of diverse consumers, especially in hard-to-fit categories like undergarments. For example, research shows that 80% of women are wearing the wrong size bra.
Other fit-tech companies use optical capture, resulting in 2D images, which fail to reflect the full picture of the human body’s shape.
In the fitness and wellness arena, gym members, coaches and athletes seek metrics beyond what wearables provide; they want immediate, personalized body data that can help them perform at their highest level.
In healthcare, the stakes are even higher. Plastic surgeons require accurate 3D models to plan and evaluate procedures and predict garment sizes post-surgery. In surgical settings, slow and inefficient patient registration processes can discourage doctors from using device navigation systems — undermining expensive equipment investments and compromising patient outcomes.
These industries needed a new approach to understanding and applying body data— one that delivered 3D accuracy, real-time performance, and strict privacy protections, across consumer and clinical environments.
FIT:match 3D Digital Twin Platform Powered by RealSense
FIT:match developed Reflect, a first-of-its-kind SaaS platform that creates digital twins of users by capturing their unique 3D body morphology using computer vision —3D depth sensors —from RealSense. Patented algorithms then match users to similar real body scans – their closest digital twin — from a proprietary, ever-expanding database to deliver precision fit recommendations.
“FIT:match’s Reflect technology opens the door to a 3D world in where we can now match the individual’s morphology to deliver extremely accurate predictions around fit,” said FIT:match founder and CEO Haniff Brown. “it’s logical that four people can have the same measurements but wear four different sizes because their shape is different. To ensure the accuracy requires the right sensors and ecosystem of technology. And that’s what RealSense sense provides.”
Reflect was initially developed for use in retail but expanded to the fitness/athletic performance and healthcare sectors. For gym members and athletes, Reflect’s 3D shape tracking provides a more comprehensive view of body transformation beyond traditional metrics, such as weight or BM.
Users can view their progress through their avatar, gaining insights into improvements in body composition, such as muscle mass, and overall shape changes.
Reflect also addresses complex challenges in healthcare. Plastic surgeons first adopted Reflect to fit patients with accurate post-surgical compression garments. But it quickly became clear that 3D body mapping could also be a powerful tool in planning and evaluating procedures like fat grafting and augmentation.RealSense computer vision provides the backbone—high-fidelity, real-time, privacy-centric 3D scanning—helping to enable a new standard for body mapping across industries.
It works in combination with the company’s AI engine that delivers hyper-personalized recommendations, time savings – product suggestions and body shaping metrics are delivered in seconds – and omnichannel flexibility, enabling those results to be offered in-store, at gyms and sporting events, in homes and across digital platforms.
The partnership begins: Savage X Fenty and the fitting room of the future
FIT:match’s partnership with RealSense began in 2022 to support a digital fitting room solution for Savage X Fenty by Rihanna. The solution needed to be highly accurate, ultra-private, fast and seamless for in-store use and completely secure.
FIT:match turned to RealSense for a portfolio of sensors, initially selecting the L515 LiDAR for its ability to securely capture detailed point clouds.
““The L515 LiDAR sensor’s ability to collect the raw frames of the point clouds gave the retailer and the consumer a lot of confidence that their data was protected,” said Brown. “Additionally, security could be handled locally, which adds a level of speed and additional privacy protection, giving retailers and consumers confidence.”
By 2024, FIT:match transitioned from L515 to RealSense D415 stereo sensors for greater environmental flexibility, which enabled consistent scanning in less controlled environments like gyms and sports facilities.
Retail Success: From Fitting Room to Checkout
The initial retail deployments were not just innovative—they were commercially transformative. At Rhianna’s Savage X Fenty in New York City, results exceeded expectations, with:
- 5X conversion rates: Shoppers who used the FIT:match experience were five times more likely to complete a purchase than those who did not.
- 25% higher average order value: The system eliminated sizing conversations, allowing associates to focus on lifestyle selling and bundling.
- Up to 80% fewer returns: In hard-to-fit categories like bras, this was a game-changer.
- Instant ROI: The retailer broke even on its investment within the first weekend.
- Expanded market access: FIT:match’s inclusive technology increased appeal among underrepresented body types and sizes.
- Greater loyalty: The experience drove shopper loyalty, increasing their willingness to sign up for the loyalty program.
“FIT:match’s Reflect technology opens the door to a 3D world in where we can now match the individual’s morphology to deliver extremely accurate predictions around fit,” said FIT:match founder and CEO Haniff Brown. “it’s logical that four people can have the same measurements but wear four different sizes because their shape is different. To ensure the accuracy requires the right sensors and ecosystem of technology. And that’s what RealSense sense provides.”
Reflect also drives a better omni-channel shopping experience, generating similar results to the in-store experience – increasing customer conversion and average order value and lower customer returns. The online shopping experience is enhanced through Fit:AI, an AI-powered chat bot that delivers an ultra-personalized experience for the user.
“The feedback on the consumer side has also been phenomenal. Everything we do at FIT:match is built around trust – at the consumer level, at the retailer level, at the enterprise level,” said Brown. “If that trust erodes, then we don’t have a product. In New York, customers lined up and even traveled across state lines for the experience. Our anonymized holographic twins and transparent data practices made people feel safe — and excited.”
Beyond Retail: Evolving into Fitness and Healthcare
Traditional card-based access solutions are fast but lack robust security, leaving systems vulnerable to breaches. BioAffix Gate Vision, powered by RealSense ID technology, overcomes these challenges by delivering reliable, non-touch biometric authentication through advanced AI algorithms and secure hardware, redefining access control with unparalleled speed and accuracy.
Healthcare Breakthrough: Reflect + RealSense in Plastic Surgery
FIT:match’s Reflect platform found powerful applications in aesthetic surgery. Plastic surgeons now use it for
- Garment Fitting: Accurately fitting post-op compression wear for better recovery.
- Clinical Use: Helping surgeons visualize outcomes, optimize fat distribution, and track healing over time.
Plastic Surgeons are using FIT:match to track outcomes, such as fat survival rates. The 3D data helps answer critical questions: How much fat survived the graft? Is swelling reducing as expected? Is the body evolving according to plan?
“In fat grafting and augmentation, doctors can now see exactly how the body is evolving,” said Brown. “We’re answering questions that were once guesswork — with data.”
What started with garment fitting has grown into full procedural planning and evaluation.
The impact has been profound, creating new levels of confidence for both patients and practitioners.
Biomedical Breakthrough: Faster, Smarter Surgery
In surgical navigation, FIT:match’s RealSense-powered registration system cut the setup time from six minutes to just six seconds. Traditionally, matching a patient’s anatomy to pre-operative CT or MRI scans for navigation systems takes over six minutes, leading some surgeons to abandon these tools altogether. This single improvement unlocked:
- Increased usage of surgical navigation systems by removing friction
- Improved patient safety and surgical precision
- Surgeon satisfaction by reducing technical frustration
- 0.4mm scan accuracy, built on RealSense’s native fidelity and enhanced through FIT:match’s proprietary optimization layers
This use case was over a year-and-half in development, requiring FIT:match engineers to optimize the RealSense D405 sensors so it could match how surgeons used the handheld scanning device.
Looking Ahead: AI, Computer Vision, Data — and the End of the Size Chart
FIT:match is building a future where body shape — not clothing size — drives product and service design. Their vision includes:
- Partner with clothing manufacturers , leveraging anonymized shape data to improve product design and reduce material waste
- Support GLP-1 users and wellness clients in tracking shape changes over time
- Serve as the “fit hub” across multiple brands and retailers, at malls, for example, offering a universal 3D fit passport
- Power the future of telehealth and remote care with accurate at-home scans
RealSense technology is essential to that vision. offering a versatile portfolio that powers consistent results across all environments, at home, in gyms and in surgical suites.
As AI and 3D imaging move from buzzword to baseline, FIT:match and RealSense are at the forefront—proving that fit is no longer a guessing game, but a science.
“FIT:match’s Reflect technology opens the door to a 3D world in where we can now match the individual’s morphology to deliver extremely accurate predictions around fit… it’s logical that four people can have the same measurements but wear four different sizes because their shape is different. To ensure the accuracy requires the right sensors and ecosystem of technology. And that’s what RealSense sense provides.”
— Haniff Brown,
Founder and CEO, FIT:match