Integrated incubator platform Venture Catalysts has made a pre-series A round of funding worth $1 million in the world’s first real-life virtual trial room, Try & Buy Fashions.
Backed by prominent influencers from the industry including Muralikrishnan B. (COO, Xiaomi/ Ex-COO, Jabong & Senior VP Myntra), Vinod Sood (MD Hughes), Bhaskar Raju, Co-Founder Redbus, the Try & Buy Fashions is poised to change the online apparel shopping experience. It aims to bring online shopping as close to the offline experience as possible by allowing trying and buying of apparel through virtual stylists and virtual trial rooms, the company said in statement. The platform envisions becoming the world’s biggest human face/body data & intelligence data library, which can create ‘selfie models’ of every online user.
An IP protected virtual trial room with an AI-based personalized stylist, the Try & Buy creates life-like animated 3D models of users, customized through their body type, body parts, height, weight, skin tone, hairs etc. It differentiates with two product categories; Tryandbuy.com, a global web portal that allows brands to keep their SKUs free of cost with virtual trial & stylist facility. Users can then buy SKUs at the best price by getting diverted to different e-commerce portals’/brands’ native sites or apps. The second product revolves around giving the license for the software to aggregators. The software can be integrated with any brand’s e-commerce web portal/app on a licensing model.
At Tryndbuy.com user can choose brands of their choice. Then they can input body measurements and instantly a “selfie model” will be generated in user’s shape & size. User can choose any dress and the model immediately wear it. User can do make up, try mix and match by selecting one top wear with different bottom wear and make up. Dresses are in 3D. User can get the best fit recommendation, Artificial Intelligence-based virtual stylist suggest what set of cloths will look good on you and even show on “selfie model”. User can even choose one size tight/loose dress and see how it goes on user body. Next we are launching full video version where user’s video with dress will be generated instantly. Technology is made and IP protected and already showcased at Decode Fashion, London 2017, the company said.