Smart mirror retail technology lets shoppers try on clothes, makeup, glasses and jewelry on a screen that reflects them back, without touching a single product.
In 2026 the category has moved past novelty. Mirrors now run AI-generated try-ons in seconds, pull straight from e-commerce catalogs, and feed data back into loyalty programs, while beauty and pharmacy chains use them for AI skin analysis at the counter.
The hard part is choosing a partner. Some smart mirror companies are software platforms that need a hardware partner, some are studios that design the whole installation, and some rent turnkey units by the day. The right choice depends on whether you sell apparel, beauty, eyewear or jewelry, and whether you want a permanent fitting room fixture or a window display that runs for a season.
This guide compares specialists in AR and AI try-on mirrors for physical retail, including fitting rooms, beauty counters, optical stores, jewelry showcases and store windows. Each entry covers what the company actually builds, where it is based and named projects you can check.
| Company | Headquarters | Best For | Signature Work | YORD | Prague, Czech Republic and New York, USA | Custom AI try-on mirrors inside wider retail installations | AI try-on mirror for Sparta Prague merchandise at Footballmania | FFFACE.ME | New York, London and Paris | Turnkey AR mirror activations for fashion and beauty brands | World’s largest AR mirror for Maybelline New York in Kyiv, 2023 | Perfect Corp | New Taipei City, Taiwan (NYSE: PERF) | AI skin analysis and AR makeup try-on at beauty and pharmacy counters | AI skin analysis mirrors in Amazon’s first parapharmacy in Milan, 2025 | mirrAR | Edison, New Jersey, USA | In-store jewelry try-on screens for jewelers and watch retailers | In-store try-on screens for Indian jewelry chains | Fittingbox | Toulouse, France and Miami, USA | Eyewear try-on and lens demonstration for optical stores | Optical Fit Pro in-store lens simulation, launched 2025 | DRESSX | Los Angeles, USA | Full-length AI garment try-on mirrors for flagships and pop-ups | DRESSX Mirror try-on for Alice + Olivia guests at NYFW | INDE | Los Angeles, USA | AI clothing try-on mirrors and large-screen AR for malls and public spaces | Vyu AI 55-inch clothing try-on mirror, launched 2025 | Kivisense | Chengdu, China, with an office in Paris | AR magic mirrors for luxury and beauty retail in China and Europe | AR Magic Mirror in-store installations and Kivicube WebAR | AR-GO | Paris and Montpellier, France | Rentable touch-free magic mirrors for stores, events and pop-ups | Magic Mirror with AI presence detection, 10,000+ activations | Filter Maker | La Rochelle, France | AR mirror builds with a monthly content subscription | AR mirrors for fashion boutiques, sold outright or by subscription |
YORD is a creative technology studio founded in 2019 by Adam Rajnoha (CEO) and David Maťák (CTO), with offices in Prague and at 477 Madison Avenue in New York. The team of 35+ people has delivered more than 200 projects in AI and XR, and the studio lists Apple, Meta, LEGO and Bentley among the brands it has worked with. Smart mirrors sit inside its interactive installations practice, next to AI photobooths, LED immersive walls and sensor-driven interactive walls, so a retail mirror can be planned as part of a larger in-store experience rather than bought as a standalone screen.
Its clearest retail mirror project is an AI-powered try-on booth for Sparta Prague merchandise, built for Footballmania in partnership with ČSOB and Mastercard and installed at the Sparta Prague boutique. Fans stand in front of the screen, pick a jersey and see an AI-generated image of themselves wearing it, with an interactive quiz and QR code sharing layered on top. YORD reports 100+ try-ons in a single day. The studio also built an AR game for L’Oréal that drew 87,000 players in a month, which shows the beauty side of its try-on and AR work.
YORD describes its smart mirrors as a combination of AI, computer vision and real-time rendering, with hardware and software designed for continuous public use, crowds and unpredictable behavior. Its listed mirror use cases include fashion and accessory try-ons, sports merchandise previews and beauty visualization. Its awards, as listed on its site, include Best XR Retail Solution at the XR Awards 2023.
FFFACE.ME launched in March 2019 as an AR innovation studio and now runs offices in New York (55 Water Street), London and Paris, where it sits at STATION F. Co-founder Dima Kornilov serves as global CEO. The agency builds AI and AR mirrors, virtual try-ons, AR filters and CGI, and it holds official partner status with Snapchat and Meta. Its client roster, as shown on its site, includes Prada, Maybelline, Bershka and Mugler.
In October 2025 the company launched LOOOK.AI, a platform that turns any screen into a smart mirror. It integrates several AR and AI engines, processes the live camera stream in real time, scales to screens of any size and is managed remotely through an admin panel. Photo printing and QR code video sharing come built in, and Bershka was named among the first brands to use it.
The studio’s best known mirror project is the one billed as the world’s largest AR mirror, created for Maybelline New York in Kyiv in October 2023 to launch a new mascara. Maybelline’s brand team credited it with around three million organic views and mentions.
Perfect Corp, founded by Alice Chang in 2015 and listed on the NYSE under PERF, is best known for the YouCam apps, but it also sells a full in-store consultation stack to beauty retailers. Its in-store offering covers AR makeup try-on, AI skin shade finding, AI skin analysis, hair color try-on, barcode-triggered try-on and product recommendations, run through the YouCam for Business app. Shoppers can control it without touching the screen, using eight hand gestures, voice commands and virtual arm swatches for comparing lipstick shades, and retailers get a content management system with try-on analytics.
The strongest recent proof of its mirror work comes from pharmacy and skincare retail in Italy. In January 2025 Perfect Corp and PHOENIX Pharma Italia, which operates over 1,000 pharmacies, rolled out AI skin analysis at the BENU parapharmacy in Milan’s Citylife, using illuminated smart mirrors from Inovshop connected to iPads. The system checks eight skin concerns plus skin type and recommends from more than 200 products. A month later the same partners put self-service mirrors running Perfect Corp’s Skincare Pro into Amazon’s first parapharmacy, which opened in central Milan on February 12, 2025, with analysis of 15 skin concerns.
Perfect Corp is software-first: fixture partners such as Inovshop supply the hardware, Skincare Pro runs on iPads for kiosks, and a Skin Analysis API lets retailers build their own units.
mirrAR, formerly known as StyleDotMe, is an AR and AI virtual try-on company headquartered in Edison, New Jersey. It is strongest in jewelry, where realistic rendering of earrings, necklaces, rings and bracelets is harder than most categories, and it has expanded into watches, eyewear, handbags, beauty and skincare. Its product line includes WebAR for online stores, a mobile SDK, SocialAR filters and a dedicated In-Store product.
The In-Store product lets retailers run try-ons on display screens in physical stores, drawing on a centralized inventory. That solves a common jewelry problem: a store can let a shopper try on pieces that are not in the showcase that day, or that are locked in a vault. mirrAR’s jewelry clients include Tanishq, Senco Gold & Diamonds, Kalyan Jewelers, Malabar Gold, Forevermark and Little Switzerland, and its site also lists fashion names such as Coach, Tommy Hilfiger, Kenneth Cole and Titan.
One case study on its site describes a jewelry retailer that ran the system in six offline stores and reached more than one lakh (100,000) customers, alongside more than 4.5 lakh try-ons on its website. An AI-powered CRM for lead capture helps connect in-store try-on sessions to follow-up sales.
Fittingbox is the specialist on this list for eyewear. Headquartered in Toulouse with a second base in Miami, it pioneered AR virtual mirror technology for glasses and says it runs quietly behind the scenes for many of the largest optical and luxury groups. It maintains what it describes as the world’s largest database of 3D frames, with over 195,000 pairs digitized, and reports more than 300 million eyewear virtual try-ons over a twelve-month period.
For physical stores, Fittingbox offers virtual try-on for in-store use, so opticians can let customers try frames that are not on the wall, plus PD measurement, a 3D viewer and lens demonstration tools. In September 2025 it launched Optical Fit Pro, an in-store tool that simulates lens features in real time on the customer’s face: thickness, progressive designs, coatings such as anti-scratch and hydrophobic, and tints including photochromic and polarized. It runs on tablets such as the iPad, so the optician can use it during a consultation.
On its site, a Fielmann representative is quoted saying sunglasses conversion goes up two to three times with virtual try-on.
DRESSX was founded in 2020 by Daria Shapovalova and Natalia Modenova and is based in Los Angeles. It started as a digital fashion marketplace and now sells an enterprise AI suite to fashion retailers, including virtual try-on, an AI customer assistant, an AI stylist for retail and the DRESSX Mirror for stores. Its partners include Victoria Beckham, Farfetch, PUMA, Burberry and Lacoste.
DRESSX Mirror is a human-sized interactive screen. A shopper walks up, sees a live reflection, chooses a look, and the AI renders the garment onto the reflection within seconds. It handles both AR try-on of real garments and AI-generated outfit visualizations, so a store can show looks that are not physically on the floor. DRESSX pitches it for flagships, pop-ups and luxury styling appointments. Alice + Olivia used it to let New York Fashion Week guests see themselves in the show’s looks.
Years of building digital garments give DRESSX a production pipeline for turning collections into try-on assets, often the slowest part of a rollout.
INDE has been building AR for large screens since 2011. It launched its BroadcastAR platform in 2012 with a National Geographic deployment that won a best AR campaign award, and it has since installed systems in more than 40 countries for American Express, Coca-Cola, Universal Studios, the Smithsonian and the BBC. It has had a permanent presence in Los Angeles since 2016.
In August 2025 INDE launched Vyu AI, an AI-powered clothing try-on mirror built around a standalone 55-inch screen. Shoppers see themselves in a garment within seconds, and INDE says the output is photoreal and faithful to each brand’s garments. The mirror pulls directly from a brand’s existing e-commerce imagery, so no extra 3D production is needed to load a collection, and it can run indoors or outdoors in stores, malls, public spaces and pop-ups.
Vyu AI also adds a loyalty angle: it captures customer data and images, with consent, so brands can reuse them in later seasonal campaigns. That suits mall operators and brands running high-traffic activations.
Kivisense is a Sino-French AR company headquartered in Chengdu, with offices in Shanghai, Guangzhou and Paris. It calls itself China’s leading AR solution provider and holds nine or more invention patents. Its stack includes an AR try-on engine, a physically based rendering engine, the Kivicube no-code WebAR platform and an AR Magic Mirror.
The AR Magic Mirror lets shoppers see a product on themselves in real time, with gesture recognition so they can switch clothing and accessories with a single hand movement. Kivisense markets it for fashion retail, boutiques, flagship stores and pop-ups, which places it squarely in the magic mirror retail niche. Its brand list includes YSL, Tiffany & Co., Dior, Louis Vuitton, Pomellato, Jordan and Starbucks, along with Chinese platforms JD.com and Taobao, and it has run an AR jewelry try-on at Pomellato boutiques.
For brands with stores in both China and Europe, Kivisense is useful because it can deliver the same try-on content across mini-programs in China, WebAR in the West and physical mirrors in stores.
AR-GO is an AR studio with offices in Paris and Montpellier, operated by WEMAP. It reports more than 500 projects for 50+ brands, and its client list includes PUMA, Galeries Lafayette, Rabanne, Orange and Accor. Its Magic Mirror is its flagship physical product.
The Magic Mirror is a standalone unit that needs no app and no touch. AI presence detection starts the experience when someone approaches, and computer vision drives virtual try-on for clothing, accessories and cosmetics. It also works as a branded photobooth with QR code sharing, adds gamification, and tracks visitor behavior through performance analytics. AR-GO says a unit can be live in under two hours, and weatherproof options allow outdoor use.
Pricing is published, which is rare in this category. Rental starts at €4,500 for three days, with a €9,000 three-day package as the most popular option, and full purchase with installation and support is available on request. AR-GO reports 10,000+ activations.
Filter Maker is a French AR agency based in La Rochelle, with a team of about a dozen permanent staff. It made its name building social AR filters for Instagram, TikTok and Snapchat, reporting 500+ filters and one billion impressions, for clients such as McDonald’s, Nespresso, Netflix, Starbucks and Galeries Lafayette.
Its AR Mirror offer brings that content skill into the store. The mirror merges the shopper’s reflection with virtual content through a camera and AR software, so people can try on digital clothing, test accessories, play branded games and share the result on social media. Movement tracking adjusts the styling as the shopper moves. Filter Maker pitches it at fashion brands, digital designers, retailers and luxury boutiques, and it runs a dedicated sister project, Mirror Experience, to show mirror deployments.
Its published pricing makes budgeting easy: a one-off purchase costs roughly $20,000 to $50,000 including the 3D experience, equipment, delivery and installation, or a monthly subscription of around €500 covers ongoing design updates. The same 3D assets can run on the store mirror and on customers’ phones.
A smart mirror for retail is a display that shows shoppers their own reflection with digital content layered on top. Most units combine a camera with body or face tracking, a large vertical screen, a computer running the try-on software, and a content system holding product images or 3D models. The software tracks the shopper, places the selected product on the live image and updates it as they move.
Some builds put the screen behind two-way glass, so the unit works as a real mirror until the digital layer switches on. Others show a live camera feed on a plain screen, which is simpler and cheaper. Newer AI mirrors skip 3D models and generate a photoreal image from ordinary product photos. Some smart fitting room systems use RFID tags instead of a camera to recognize garments, show other sizes and colors, and call staff, which avoids cameras in changing rooms.
Apparel stores use a virtual try on mirror to show outfits and sizes not on the floor. Beauty and pharmacy counters use mirrors for makeup try-on, shade matching and skin analysis. Optical stores use them for frames and lens demos, jewelers for pieces kept in the vault, and shop windows and pop-ups use a magic mirror to pull in passers-by with photo sharing by QR code.
Retail smart mirror vendors are rarely good at everything. Eyewear needs accurate frame scale and lens rendering, jewelry needs believable metal and stone reflections, makeup needs precise face tracking and shade accuracy, and apparel needs full-body tracking and garment fit. Ask each vendor for a live demo in your exact category using your own products, not a showreel from another sector. Specialists like Fittingbox for eyewear or mirrAR for jewelry often beat generalists on realism.
Some companies supply only the AR and AI engine and expect you or a fixture partner to provide the screen and enclosure. Perfect Corp working with Inovshop mirrors is a good example of that split. Others, such as AR-GO, Virtual On and INDE, ship a complete unit. Studios like YORD and FFFACE.ME design the whole installation around your brand. Be clear about who owns the camera, screen, mounting, networking and on-site support before you sign, because a retail smart mirror fails in public when those handoffs are vague.
Published prices give a useful range. AR-GO rents its Magic Mirror from €4,500 for three days, Filter Maker quotes roughly $20,000 to $50,000 for a purchased AR mirror including content and installation, and subscription plans from Filter Maker and Virtual On spread the cost into monthly fees that cover content updates. Custom multi-mirror or integrated installations cost more. Budget separately for 3D or AI garment assets, since digitizing a collection is often the biggest ongoing expense.
A virtual try on mirror is only as good as the catalog behind it. Ask how new products get onto the mirror, how long it takes and who does it. INDE’s Vyu AI pulls from existing e-commerce imagery, Fittingbox draws on a library of 195,000+ digitized frames, and managed plans from Virtual On include 3D conversion. If your range changes every season, a slow asset pipeline will leave the mirror showing last season’s stock.
Agree on success metrics before launch: try-on sessions per day, dwell time, conversion on tried-on products, shares and email captures. Most vendors include analytics dashboards, but check what is actually tracked, and whether it connects to inventory. Mirrors use cameras, so confirm how images are processed and stored, whether faces are saved, and how the setup complies with GDPR or local privacy law. If the mirror is part of a larger campaign, our guide to immersive experience studios for retail and brand activations covers partners that plan the wider store experience.
The biggest shift is from 3D models to generative AI. Mirrors from DRESSX, INDE and YORD already render a shopper wearing a garment from ordinary product images, which removes the slowest step in a rollout. Expect tighter links to shoppers’ phones and wishlists, and more use in beauty and pharmacy. For connected digital retail spaces, see our list of virtual showroom development companies.
A smart mirror in retail is a screen, often behind two-way glass, that shows shoppers their reflection with digital products added on top. A camera, tracking software and a product catalog let people try on clothes, makeup, glasses or jewelry virtually. Many units also recommend matching items, share photos by QR code and record analytics for the store.
A camera captures the shopper in real time, and software tracks the face or body to find where a product should sit. The mirror overlays a 3D model or an AI-generated image of the item on the live view and adjusts it as the person moves. Results depend on the quality of the product assets and the tracking, so realism differs by category and vendor.
A smart fitting room adds technology to the changing room, usually a touchscreen mirror that recognizes the garments a shopper brings in, often through RFID tags. Shoppers can see other sizes and colors, get styling suggestions and call staff for a different item without leaving the room. Some versions add virtual try-on, while others avoid cameras entirely for privacy.
They pay off when the goal is clear and measurable, such as showing stock that is not on the floor, speeding up beauty consultations or drawing traffic to a launch. They struggle when bought as a gadget with no plan for content updates or staff use. Pilot in one or two stores, track try-ons and conversion, and scale only if the numbers hold up.
It depends on the vendor and settings. Some systems process the camera feed on the device and keep nothing, some save images only when a shopper chooses to share a photo, and others collect images and contact details with consent for marketing. Retailers should confirm storage, retention and consent in writing and check them against GDPR or local privacy law.
Smart mirrors have become a practical retail tool. The vendors above cover the main routes into smart mirror retail: custom studio builds, AI and AR platforms that plug into partner hardware, category specialists for eyewear and jewelry, and turnkey units you can rent for a weekend or subscribe to by the month.
Start with your category and your goal. A luxury fashion house building a flagship fitting room needs a different partner than a pharmacy chain adding skin analysis to its counters or a mall running a pop-up. Ask for live demos on your own products, get clear answers on hardware, content updates and data handling, and pilot in one or two stores before rolling out.
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