<\/p>\n
\n\t** UNDER EMBARGO UNTIL 7.30am NYC \/ 1.30pm PARIS today WEDNESDAY OCT 21 **<\/p>\n
\n\tPARIS \u2013 Fashion tech company Catches is bringing its AI-powered virtual fit technology to retail, partnering with The Outnet.<\/p>\n
\n\tThe company is launching PredictiveFit with the luxury off-price retailer, which was acquired by Icon Luxury Group in the first quarter of 2026. The rollout marks the first time Catches is making its virtual fitting technology available to a multi-brand retailer, following a six-month partnership with luxury label Amiri.<\/p>\n
\n\tThe Outnet is betting that a more accurate picture of how clothes fit individual bodies can help fashion retailers increase online sales while tackling one of ecommerce\u2019s most persistent costs: returns.<\/p>\n
\n\t\u201cReturns have always been a major issue,\u201d Joseph Edery, founder and chief executive officer of Icon Luxury Group, said in an interview. \u201cOur return rate is quite high, and the goal, of course, is to reduce it \u2013 less friction for the customer increases conversion, increases profitability.\u201d<\/p>\n
\n\tFor multi-brand retailers, inconsistent sizing across brands makes the problem particularly difficult to tackle.<\/p>\n
\n\t\u201cWe\u2019ve been trying to solve it for a long time,\u201d said Edery, adding that the company has trialed several different tech solutions without success. \u201cIt doesn\u2019t really solve the issue because every brand fits differently.\u201d<\/p>\n
\n\tShoppers often order multiple sizes to compensate, he said, increasing costs for the retailer and its brands, as well as creating friction for customers.<\/p>\n
\n\t\u201cIt\u2019s not just the money, but it\u2019s also about the customer journey and experience as well,\u201d he added.<\/p>\n
\n\tCatches works to show proportion and how garments behave in motion, rather than simply generating an AI image of a static item.<\/p>\n
\n\t\u201cA lot of these models out there \u2014 they look beautiful, but they\u2019re not really helping anyone,\u201d said Catches co-founder Ed Voyce.<\/p>\n
\n\tThe new PredictiveFit technology is designed for retailers that sell products from multiple brands but often lack the manufacturing data needed to model each garment precisely.<\/p>\n
\n\t\u201cThis is very disruptive to the 25-year e-commerce history of high returns because [a company] just can\u2019t figure out how to get the customer what they want and serving it up to them exactly right at the brand level, at the fit level,\u201d said Edery.<\/p>\n
\t\t\t\t\tCatches\u2019 PredictiveFit on The Outnet<\/p>\n
\t\t\t\t\t\t\t\t\tCourtesy of Catches<\/p>\n
\n\tCatches\u2019 RealFit technology, launched with Amiri in March, uses brand-held information such as patterns, fabric specifications and grading. PredictiveFit instead uses product data already held by retailers, converting it into simulation-ready digital garments which can replicate weight, structure, drape and movement.<\/p>\n
\n\tBoth systems combine physics-based simulation with AI to create a digital twin of the shopper and show how a garment fits, drapes and moves across different sizes. The technology is built on Nvidia\u2019s Omniverse and CUDA platforms and uses the Newton Physics Engine.<\/p>\n
\n\t\u201cThe results Catches has delivered with Amiri are exactly what physically grounded technology looks like in practice \u2013 not a generic recommendation, but a simulation of how a real garment moves on a real body,\u201d said Nvidia vice president and general manager of AI for retail Azita Martin.<\/p>\n
\n\t\u201cPredictiveFit now brings that same capability to any retailer, at catalog scale. This is the moment physics-based simulation moves from a feature retailers test to infrastructure they run their business on,\u201d she added.<\/p>\n
\n\tFor The Outnet, which carries more than 350 designers and serves customers in more than 100 countries, the challenge is particularly relevant: sizing and fit can vary significantly across brands.<\/p>\n
\n\tOver six months, Amiri\u2019s conversion rate increased 55 percent on a seasonally adjusted basis, add-to-cart activity increased 80 percent, units sold climbed 39 percent and gross sales rose 56 percent, Voyce said.<\/p>\n
\n\tThe comparisons are against comparable Amiri products styles without Catches\u2019 tech. Voyce also reported a 30 percent reduction in fit-related returns so far during the Amiri partnership.<\/p>\n
\n\t\u201cWhat\u2019s fascinating about these numbers is that we\u2019ve still got a lot of UI to optimize,\u201d said Voyce, who added that those numbers are conservative. \u201cSo we\u2019re really excited about where this can go and what it means for the whole industry.\u201d<\/p>\n
\n\tContinued improvement on the UI would make the fitting experience easier and more intuitive for shoppers, Voyce added.<\/p>\n
\n\tOn Wednesday, Catches is also introducing Casi, a personal AI fashion agent designed to help consumers discover products, receive recommendations and find their size through messaging platforms such as WhatsApp. Voyce compared it to a \u201cpocket stylist.\u201d<\/p>\n
\n\t\u201cIt is purpose built to find and acquire garments for people that will fit them, which is the number one value out of that proposition,\u201d he said.<\/p>\n
\n\tCatches has raised $10 million from investors including LVMH Moet Hennessy Louis Vuitton director of image and environment Antoine Arnault, and model and impact investor Natalia Vodianova, his wife. Other backers include former Tommy Hilfiger chief executive officer Gary Sheinbaum and former BCG head of luxury Sarah Willersdorf.<\/p>\n
#Outnet #Partners #Catches #Fit #Tech #Reduce #Returns #Boost #Online #Fashion #Sales<\/p>\n","protected":false},"excerpt":{"rendered":"
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