As we mentioned in our last article, The Metaverse - What is it, and how can you get involved?, digital fashion has gone full-speed ahead and everyone’s getting really excited about the Metaverse. Within the last few days, Nike snapped up a very successful and crazily on-point digital sneaker brand, RTFKT, indicating that they are ready to jump into this feet first. The Metaverse is (very) cool, but we still have to live in the real world sometimes. We are developing a way for consumers to take advantage of digital technologies and apply them to their real-life fashion shopping experiences. Virtual Try-On will be the next route into a safe, sustainable, and fun clothes shopping spree.
Our Virtual Try-On app will work like this. The customer - that’s you - first of all needs an accurate copy of their physical body, converted into a digital avatar. So, you will go to one of the stores housing our revolutionary body scanners. These are usually installed in changing rooms. So you step into the changing room, and in a totally private environment, follow the instructions on the screen to get an incredibly accurate, no contact measurement of your entire body, in just a matter of few seconds. The infrared technology we use s acquires millions of points on your body service in 3D. The invisible infra red light works a bit like a barcode scanner, it passes over you and of course, doesn’t hurt at all. Our guidance process is designed to make the experience extremely simple and pleasant.
Alternatively, you can use your phone at home to scan yourself using our Mobile 3D Body Scan App.
Now, the next stage. Inside our app, you can see that all those data-points have been converted into a perfect replica image of you. It captures your exact shape, and can even move.
The third stage is putting on the clothes. We will be partnering with selected retailers so that their garments are accurately rendered into 3D. When your avatar wears these 3D clothes, you can see how well they fit on you - or not. It will be instantly obvious how long a skirt is on you - you know how on the model a skirt is knee length, but when you get it it is an unflattering mid-calf? You will be able to judge that right away, and also if a garment looks too tight or too loose, has too high a neckline, etc.
From there, you can decide whether you want to order the clothes or not. It is a lot more convenient than going to a crowded shopping mall and trying clothes on in person, or spending hours queuing to return clothes you ordered without trying on first.
As Peter Jeun Ho Tsang, of fashion tech venture studio, Beyond Form, explains, the impact will be massive:
“Fit tech solutions in fashion have come a long way over the last decade, however, nobody has yet really cracked the code for a virtual try ons. When solutions become more accurate and easier to adopt, it will have effects on the consumer and industry in many ways, such as:
Customer experience - fit is often a confusion point for many shoppers, especially when brands have such varying fit differences. As well as this, everyone has a different opinion on what is a “correct” fit. It’s highly subjective. Visual validation on fit beats any “predicted” recommendations. Customers will be able to reply on accurate data versus guessing on fit guides given by the brand. Therefore, user journey friction will be reduced.
Data-driven product design, services and marketing - Brands will be able to harness fit data given by customers to effectively and meaningfully roll out their products. This will solve many headaches for many departments within the fashion organisation.
Logistics & returns - ultimately will drastically reduce the amount of shipping of incorrect fitting clothes and returned items. Thus, saving costs, carbon emissions and improve overall margins for online retailers.”
As 2022 unfortunately looks set to be similar to 2021 in terms of the pandemic, a mixture of in-person and online shopping will be the norm. And that’s exactly what this experience provides: gets scanned in-person, and shop confidently online thereafter.