From UGC to On-Demand Manufacturing - A Holistic Approach with Kitty Yeung

What if the best-performing fashion ads never required shipping a single sample? We sit down with Kitty Young, founder of Wear It AI, to explore how hyper-realistic virtual try-on turns everyday photos into high-converting product content—then feeds those signals back into a smarter, cleaner supply chain. Kitty shares how brands can swap expensive, unpredictable influencer campaigns for scaled UGC, where micro and nano creators generate themselves in your styles in minutes and get paid on performance, engagement, and remixes. The content looks like real life—true bodies, true fits, brand-correct styling—because trust sells better than filters.

The conversation goes beyond marketing. Kitty maps a practical route to on-demand production: use AI to see what people actually want, connect those preferences to 3D simulation, image-to-pattern generation, and local microfactories, and produce with MOQ of one. We talk digital printing, laser cutting, alternative bonding, and the stubborn realities of sewing automation. The goal isn’t hype; it’s a measurable drop in waste and lead time, with fewer missed bets and a faster path from try-on to delivery. Think Starbucks for apparel: proven silhouettes, seasonal specials, and personalization on fit, fabric, and print—served within hours to days.

With a background in physics and stints in quantum computing, Kitty brings a systems mindset to fashion tech. We unpack how shoppable UGC, body-accurate avatars, and integrated tooling can make stores feel like studios and social feeds feel like showrooms. If you’re building for sustainable fashion, DTC growth, or retail innovation, you’ll find a blueprint here: everyone can be a model, many can be designers, and brands can finally match demand with supply in real time.

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Transcript

Meet Kitty Young & Wear It AI

Speaker 1 0:00

Welcome everybody for another episode of Looped In with Carl Workington. I'm super excited today to talk to Kitty Young, founder of Wear It AI, who sits today in Heidelberg, but is a founder jumping between Heidelberg, San Fraxqxqncisco, and Hongzhou, China, and um why uh you are in all of these places and what you're exactly doing, we're exploring today. So welcome Kitty to our show.

Speaker 0:28

Thank you so much. Really nice to be here, Carl.

Speaker 1 0:32

Great to have you. Explain to our listeners what Wear It AI is.

Speaker 0:40

Yeah, so I founded Where It AI uh a bit more than a year ago, but I actually also started working on something um based on that. Even when I was at Microsoft, I did an internal incubation, a startup, and explored the entire fashion supply chain and from design to manufacturing to advertisement and retail. So finding out what are the common issues in the supply chain and the whole value chain, uh, and also coming up with technologies to uh fill the gaps. So wear with AI is something that I um explored and discovered uh to help brands and retailers to do more effective marketing and advertisement. So I have my own fashion brand and I also have built my own social media, have a million followers online. Um but the common problem I experience building my own brand uh is the mainly two things I will say at a high level. Of course, there are a lot of nitty-gritties, but the two things are one, manufacturing is very hard, and um building things, testing the market is very, very slow. Uh, the other thing is the advertisement, getting enough visibility and the sales, that's another extremely hard part. Um, so it's not just for it's not just for uh small brand, but uh I also work with some of the world's largest brands and realize there are a lot of common pain points there in those two areas. So where AI targets um the advertisement and sales, and uh should I explain a little bit more about it? Yeah, sure.

Speaker 1 2:39

So let's imagine let's imagine I'm a brand. What what why would I um uh look for the services of where they?

Speaker 2:46

Yeah, so what we help brands do is embedding their products in user-generated content at mass scale. So think about how clothing is sold is primarily now online using visuals. And you need to have all kinds of different types of media, and you want the conversion rate to be as high as possible. Um, but you will also notice that social media is now the way to sell things. And on social media, most of the things are user-generated. But brands and retailers are not utilizing all those user-generated content out there. Um, they right now need to send physical products to influencers, content creators, maybe costing thousands of dollars per just a single post. And there's also a lot of uncertainty with the return, uh, the uh return on investment.

Speaker 1 3:51

And what we do is you can't really track it, right? You if if I um if I have a product that I want to give out to an influencer, then he posts something, but I can't really track the performance uh or the ROI on this specific.

AI-Powered UGC Instead Of Shipping Samples

Speaker 4:08

Yeah, you can you can track it somewhat, um, but it's very hard to predict. So there's like industry benchmark standards we actually have on our website. Uh you can go to business.wear it.ai to check out a ROI calculator, and it shows you the typical conversion rate and engagement rate of influencer marketing. And it also depends on what type of influencers you hire, you do the casting. Uh but essentially what we do is tapping into the most effective group of people, which is the micro and and nano influencers, and you don't have to ship products to them anymore. You can just have AI generate content, generating your clothing, your products in user content directly. And the users, the meaning the influencers, if eventually everyone can become an influencer because you can now generate yourself with the fashion content, with the fashion product in your content and posting it and earn commissions when you sell for the brands.

Speaker 1 5:18

But as an influencer or consumer, I still need to wear the product of that brand.

Speaker 5:24

So it has many, many steps before that happens. So what we are helping out is the content and the advertisement, reducing the cost of that down. And instead of having one post and costing thousands of dollars shipping physical products, now you can spend the same thousands of dollars but have hundreds of people generate content for you without shipping any products. The content would be the user in your brand's image. So everyone becomes the model wearing your styles, and it's mass posting and mass marketing. Basically, a new way of doing UGC campaign now.

Speaker 1 6:16

But those consumers or influencers, they still need to wear the product of the brand, right? In order to create that content, or is that AI-generated content?

Hyper-Realistic Virtual Try-On Explained

Speaker 6:30

You don't have to wear the product anymore to generate the content. So it used to be you have to send the physical product, the person wears it, also uh go do photo shoot or videotaping, um, create content spending hours and hours just to make maybe one or two images that you can post online. Now you spend a minute, you pick whatever outfits, whatever styles you like. AI generates you in it. And it's not an avatar of you, it's not uh look-alike, it's actually exactly you, your body, the clothing on your body. And it's a beautiful piece of content that is in the brand style. It's not like you have to also um create the entire setting and anything, it's all generated for you.

Speaker 1 7:23

And is it visible for the viewer that this is not really me wearing the product, but it's AI-generated content?

Speaker 7:31

You can take a look at our website now, you can't actually tell anymore. So the technology has gotten so good. The content that's generated, and that's also what we've been focusing on. It's not some AI type of visual. It's more like exactly you yourself, hyper-realistic. The clothes also look super realistic. The pieces you see, they look like professional photo shoots. So uh I think uh even a year ago, the technology wasn't quite good enough. And we actually did like an art exhibit at the VNA museum. And back then it was more like very artsy. So the image we generated, you could tell it was AI because it looked just perfectly beautiful, too perfect.

Speaker 1 8:22

Yeah.

Speaker 8:22

Um, but we realized that actual consumers and to do like more commercial UGC campaigns, people want to look real, even like imperfectly real. So, meaning we don't beautify your face, we don't we don't make you skinny, and we don't make the image look like uh art. We make it so let's let's take me.

Speaker 1 8:50

I wanna now be an influencer or or probably make some money by becoming an influencer and and uh upload several pictures to several different brands that are on your platform, then I can just in a couple of minutes create various pictures and upload them, right?

Speaker 9:10

Correct, yeah.

Speaker 1 9:14

And the pictures are gonna be adjusted to the brand's image and how they would like to be presented, correct. You know it's the same me over and over again. Yeah, how um how am I incentivized to do that?

Incentives And The Remix Economy

Speaker 9:31

So exactly like how you are doing it now. Um so right now, if you are an influencer, uh depending on which tier you are and number of followers, you have pretty much a market rate. And uh, but then that market rate comes with um hours of work trying on physical clothing and maybe not even getting any deals within a month. So, like depending on how how lucky you are, and if you have an agency to help you find deals, uh a lot of people want to be influencers that keep on posting on social media, waiting for brands to discover them. Um so is very unstable. So now in our case, instead of uh maybe having a brand deal, one brand deal a week, you can now have just you can do it yourself and you can pick up brands and find the deals, even produce hundreds of content a day. So um say now to create a piece of content becomes drastically cheaper and is maybe ten dollars per post or five dollars per post, but now you can make that large chunk of money if you keep on doing this a day, you can produce way more content than normally you could.

Speaker 1 11:08

So, do I get um money for each post or for each click on on the products that I showcase, or how does it exactly work?

Speaker 11:21

Yeah, yeah, you get it from the uh the posts, the uh engagements. We also have the other people seeing how many people actually also wear your styles. So we not only allow you to generate yourself from a brand's image to start with, other people clicking on your image can put themselves in that style as well. So you create a remix. You basically it's like TikTok for fashion. So this actually explains our business model. Um people remix styles, and you are incentivized based on how much um interest from other people your post gets. So number of brand visits from your post, number of other people wearing your style derived from your posts, and also, of course, other people can like your style and save your style and all that that shows brands um the consumer intent as well.

Speaker 1 12:30

Alright, so now you have a platform that brings together various brands and thousands and thousands of influencers to work together, and that basically changes the influencer game by not having just a few selected influencers but like a huge variety probably also of micro influencers, I guess.

Speaker 12:53

Yes, exactly.

Speaker 1 12:57

Since we are a uh you know impact-driven the circular economy podcast, I know that you spend uh a big chunk of your time not only on on that front-end uh solution that we can see, but actually also on on way deeper projects that really are going into the infrastructure and and how we produce and design products. Can you tell a little bit more about that?

Platform Scale With Micro And Nano Creators

Sustainability And The AI Supply Chain Vision

Speaker 13:31

Yeah, exactly. So uh what we describe in where it is only the tip of an iceberg, uh you see the very, very front, uh, even before retail is the advertisement part of it. And um that actually connects to a AI new next generation AI enabled supply chain that we're building. So the very reason I've been doing this whole thing, as well as discovering the opportunity with Wearwood, was from the suspendability angle that I started the entire thing. Um so my background is actually in physics, so I didn't do fashion uh in my education. So I've been doing hardcore science and work at Microsoft and Intel on quantum computing and photonics. Uh fashion is something that I was very interested very early on in my lifetime, and uh I just love art and design. So I've been building my own fashion brands, putting my art on fabric, and learning the whole end-to-end supply chain processes. Um I found there are a lot of gaps in adopting the latest technologies, and imagine if we could not only enable a digital driven purchasing behavior, but also letting people to so right now how things are produced are pretty much trying to predict what can be popular, mass produce it, and then try to sell it afterwards. But we want to flip that. We want to get the data first, knowing what people want, and be able to supply that demand very quickly. But the supply chain has been very slow and mostly based on uh mass production, and that is not sustainable, and the speed of meeting the market demand is also too slow. Um we get inventories of clothing that never get sold. So your audience already know the data, like this shocking. When when I enter this industry, I was quite feeling feeling quite sad where um 30% of clothes produced are never sold, and the fashion industry generates 10% of global carbon footprint. And coming from my angle, I was someone who's deeply passionate and in love with the the art and the beauty of the industry. Finding out how things are actually produced was hard. Um, so then I decided why I was working at Microsoft as a quantum computing architect, started my internal incubation projects, got funded by the CTO's office, and really focused on this for um more than about a year's time, full time. Uh, really did the end-to-end technology solution and the different parts of the supply chain and methods that we could use, say digital simulation, 3D design, and then doing things on demand, producing like doing laser cutting and uh printing, doing things even down to one piece at a time. So I think it's a holy grail for the industry to get to a state where you can have uh infinite types of uh SKU but zero uh eventry and MOQ equals to one. So that would be the ideal state in the future, but in reality, we're probably gonna be in the middle ground where we can asymptotically approach that state by doing things faster and be able to detect data and also having more flexible local microfactories supply chains that can produce based on your local market. So yeah, I think I I went a long way with your question.

Speaker 1 18:26

I I I love it, and I love to go deeper into that because as you know, I'm I'm myself deeply involved in that kind of technology for microfactories, uh onshore, on-demand production. I share your vision that they there can be the day that we have no more inventory and a minimum order quantity of one so that you you know everyone can design exactly their own products or order their own products in the right size and color, whatever they wish for, and produce it in and within days, um get that product, right? Like almost like 3D printing.

Speaker 19:08

Yeah.

From Quantum Physics To Fashion Tech

Speaker 1 19:10

And and I talked, and I think you'll also know the the last podcast guest I had, uh Vincent from China. I think you know him as well. I also talked with him about like um going more and more into fast production cycles with low minimum order quantities. But they we're still talking about a couple of hundreds. Um what is your vision and why did you also choose to leave Microsoft instead of continue developing your solution there?

Zero Inventory, MOQ Of One

Competing On Speed Against Fast Fashion

Speaker 19:41

So I am continuing developing it, uh, just not there, because I realized uh you can make a way more impact and do exactly what you want uh if you don't have some constraints. Uh I did get like a patent while working at Microsoft. Which is to uh generate patterns based on the image. So if you have a sketch or an image or photo of a piece of clothing, you can generate the tech pack and the patterns for it. And that was already like pretty early on uh when we didn't have as powerful LLMs as now. So we were using like GAN and the C CNN type of technologies, but we had a pattern on it, and we had a proof of concept, we worked with some microfactories and also London College of Fashion and EFA Paris to test out this end-to-end solution. Um, so proof of concept, it definitely was possible. Uh we could come up with a design, we dig truly design it, and as long as we have the fabrics, the source of the materials there, it can be produced right away within uh a day. And how do we scale from there to the factory level? Uh or can you do things like uh a network of microfactories uh covering your entire geography? Uh we studied the manufacturing states in US. Um back then it was 2023, 2022, wasn't quite ready. Uh there was a wave of uh maybe a trend of microfactories, emerging factories wanting to do that, but um I feel like if we did the same project in China, it probably would have worked more, worked better, faster. So now when you look at how China has been working on flexible supply chain, um it already has the infrastructure, it already has the know-how. And I think the technologies can catch up a bit more, but it is definitely better even than a few years ago. So I see that if we keep on developing it in five to seven to ten years' time, we could have a completely different type of infrastructure for fashion supply. And I did also talk with Vincent after your episode. Uh, so we were we were thinking that okay, so what is the real state after um after she, let's say. So um when internet came about, it basically made everyone a seller. So I think if we think about what could happen in the future, frame it as technology enabled everyone, quote unquote everyone, to become something. So the internet enabled everyone to become sellers, Amazon, Alibaba, all those. And then now we are building something like where it does is uh well before us, there's the TikTok and she. So basically, TikTok was initially just a social media type of thing, but then it became a place where people want to sell things, and then you have the professional content creators, all their job is showing off, doing live streams of products for uh brands and retailers, uh, fashion sellers, and people like Sheen enabled a type of flexible supply chain for themselves to pick out immediate trends from social media, and they can make the products right away. Uh we were not going into the nitty-gritties of how they make things and where they make things, but we we already know that. Um but it definitely has shifted the mode of working in a different in a natural direction. So then what we see on where it is that our technology now enables everyone to become an influencer. So then what's next in the supply chain is that actually the next phase of technology should be enabling everyone to become she. So if you had a technology and infrastructure and you can license it out, that's how fashion is working already, anyway. It's not maybe you are the luxury brands that you always produce visionary designs and is artsy art driven, but then everyone follows, everyone is doing something, making something or selling something that is trendy. So this is exactly how Sheen works. Looking at the data, what is the good a good design that everybody loves? And they copy it, they copy cats, um, but it's very, very hard to defend. So other than Sheen, everyone is actually trying to do that. Of course, the industry has uh maybe a faction that's really really against it, but if you think about how consumers behave, if you are completely catered to consumers, that actually is truth and nature. So how do you compete with someone like Sheen? Uh it's not our job, but it's other brands wanting to compete with Sheen, then they have to be faster. They need to be able to meet the demand. So if you don't have a network like Xin does, and human labor, then you can use technology to do that.

Speaker 1 26:46

So when you say also everyone, the next step is everyone becomes or can become Sheen. Would that mean everyone can design and produce their own clothes?

Everyone As Designer: From Image To Pattern

Speaker 27:02

So that actually is the next stage then. You also alluded to that earlier. So after everyone can become someone like Sheen, then it the world would become everyone can be a designer. So, like I started as an individual who just loved fashion, and I was fed up by how mass-produced and boring the designs are in the United States. So I started creating, I started making my own brand, but then I found to actually manufacture them was so hard. Uh I could design something, come up with a cool idea. I even actually embed electronics, light up uh LEDs and solar panels and heat-up pads in my clothing. So they're pretty complex. But I could not find manufacturers who could really do both fashion and technology, so I had to do it separately, and then I'd be the integrator to put them together. But just making the plain clothing part of it, it took me like nine to more than a year, uh nine months to more than a year to even get a collection developed ready for production. And to me, as an engineer and scientist, it was too slow, it was shockingly slow. And like I could come up with the idea, I could do that uh in the morning, and I have materials with me. Uh, I could even do painting on the um on the computer, send it to I used spoon flower back then to do the digital printing, maybe get it shipped within a week and already make that. Sometimes when I do already have fabrics, I could make that and already wear the clothing in the evening. So I was really curious and obsessed with the idea. How can we scale this process that I could do? So, like I could do on-demand customization, but how can we make it on-demand mass customization? So if we had the technology to allow everyone, when you come up with the idea, you upload it somewhere, if you find the people who can make it right away for you, then anyone can become a designer.

Speaker 1 29:38

So you mean what you developed this pattern that you can take a picture of a product and upload it into a file that you can then send it to a production company? Right? To the pattern?

Speaker 29:56

In a way, yes. So uh basically the pattern and the tech pack gets generated based on your image. And there are also already people working on that. So the precursor to that are the 3D simulation companies, for example. Uh, you have the software that can you can draw if you are a professional designer, uh a technical designer, then you draw the tech, you draw the patterns in 2D, and then you do the 3D stitching, you can get a 3D simulated digital sample. Um, the software is very yeah, like cloth and browseware, style 3D, those are the top three. I actually also work at browser for for a bit. And um these kind of software to to me it was really, really useful. And but then they had the maybe some barriers breaking into mass adoption, and to learn this kind of software is very hard and steep learning curve, and if you're a traditionally trained technical designer, sometimes you may still find it's easier to do it on paper and fabric rather than doing it digitally. But there are so many benefits doing it digitally. Um, so but then even if you do it digitally, a 3D sample of your envisioned actual garment, having it produced by a manufacturer, there's a big gap. Manufacturers may not use the same software, and they may have to redo everything based on your sketch and tech pack, the digital tech pack, even if you have, but they still may prefer you signing them the physical tech pack, and they need to be integrating that with their manufacturing machines, and they use completely different types of software on the production floor, so there's a lot of gap there. Even if you design something digitally, you still have to go back to this uh to physical somehow.

Speaker 1 32:23

Um to let's yeah, let's. I mean, it's a it's a process that we need to tackle from both sides, right? The one is the design part, the other one is the production part.

Speaker 32:34

Yeah.

Speaker 1 32:35

You mentioned everyone can become a designer. I would love to understand what you think, how everybody can become a designer. And then obviously, um, on the production part, there needs to be some innovation. And I think I know of certain companies who already are working on it, um, that can take a clo file and simply produce it within days. But let's let's talk about the design part.

Closing The Design-To-Factory Gap

Speaker 33:02

Yeah, I think that might also be an old way of doing things. So um there are now new companies that are working on um generating the the patterns based on the images, and as I mentioned, I also have a patent on generating the tech pack directly. But you need the machinery, you need the uh your I would say even your own factory to completely integrate that with your whole set of software so that you can be the one producing the garment for other designers for other brands and even consumers who want to do creative designs. So how uh I envision it and what I'm working on on the back-end side of things is this type of um, I would say something more like Starbucks or uh even McDonald's for fashion.

Speaker 1 34:16

Like um like a franchise system.

Speaker 34:19

Yeah, and also directly consumer-facing. So I think it is more exciting than the traditional way of oh, you have a factory somewhere nobody knows, and you have to find them somehow, and you have to produce a quantity and ship it to you. Uh you are not you're not the end consumer. There's actually many, many layers between that um before this bulk of garment gets sold to the end consumers.

Speaker 1 35:01

Yeah.

Speaker 35:02

Why can't we have something that we can do that right in front of people?

Speaker 1 35:10

So within minutes.

Speaker 35:12

Yeah. And I know you have the old factory that you're working on. That is on the back end, but why can't we put that in front of actual consumers?

Speaker 1 35:24

I mean, we could. The the olfactory from Rodinia that you're talking about is um I mean i it's only 2,000 square feet big, right? So potentially we could put it into every shopping zone. Um it's even smaller than a normal retail store. But it still would take two days, roughly, to produce a garment. So you can order something and then produce it and ship it to the consumer without any inventory as a brand, but um it's we you couldn't do it like McDonald's you know, grills your burger in a minute. And in a way, probably we could speed up production way more. We are also working on automizing the sewing part, which is still the only part that is uh manual. Everything else is automized. So you put in the fabric, um, the brain, so the software, puts on uh the the garments and the the different parts of the pattern, uh prints it on on the fabric, cuts it out, sorts it, and then the sewing person is just sewing it together. So theoretically, I agree with you, this could be probably a process within minutes. Um would be an interesting conversation to have. Right now, the first step is the idea of having it in within 48 hours. So what how does your production technology look like that you can do it within minutes?

Franchise-Like Microfactories

Speaker 36:52

So I wouldn't say you make the garment within minutes, but you can do things like come in here in the morning, um, order your things, go shopping, come back, pick it up in the afternoon.

Speaker 1 37:06

Okay, so within a couple of hours.

Speaker 37:08

Yeah. So in fact, what we have built with Wear It can also help there in the front end. So this is a new kind of shopping experience. So even though we have been focusing on the content creation, uh our thing is actually being used for virtual try-on as well. So we kind of uh not intentionally made the best virtual try-on technology out there.

Speaker 1 37:38

Right, because when I can post about it, I basically already try it on, right?

Speaker 37:43

Yes, exactly. And we tested this with the mass population, the the consumers, the we we test it all the way to see if they will post it on social media and share it on where it because when they do that, we know they're actually very satisfied, they're happy with it. So we know that we have built the most visually realistic and also satisfying experience for the users, and we use that for a front-end shopping experience as well. So you walk into the store, you can use our wear it technology to already pick outfits and generate yourself in there. You can choose what you want to order, and we connect it with 3D simulation tools and also pattern libraries. So uh when I made an analogy with Starbucks, for example, Starbucks is not making everything. Starbuck has a menu, it has a list of uh classic offerings they have, and then they have occasional seasonal uh specials, and you can customize it a bit with sugar or lawn fat or whatever. Exactly, yeah. Because when you think about everyone become a designer, no, it's not going to be actually the case because not not everyone is going to become a designer.

Speaker 1 39:20

No, but everybody can customize to their own size and style and liking.

Speaker 39:27

And that's already what most consumers need. Uh, if you're a fashion shopper and you have your own ideas, you love this dress, but then hey, I hate this. I I love the dress, but this the color, I wish it were in a different shape.

unknown 39:44

Yeah.

Speaker 1 39:44

I would shorter different shape, a bit tighter, but bigger, uh, maybe different material and different color. And those things I can just drag and drop and decide. And then I I uh basically what you mean as a designer, so I haven't Ultra customized product, and I can type it in in that Starbucks-like store that you mentioned, and then it produces me that product within a couple of hours.

Minutes-To-Hours Production Reality

Speaker 40:09

Yes. And the style, uh so it's funny when we I think even right now when people do say customized clothing, they're only thinking about like a t-shirt print or an embroidery, uh customized embroidery, but it's a boring hoodie or a boring t-shirt. Right. What we want, like especially what women want, is the customization in terms of patterns, the shapes, the cuts. So we can allow you to do this kind of customization. And you can do mix and matches. And we use the uh once you have your image put in, we figured out your dimensions and generate a virtual avatar that's your shape, and the garment gets graded to your size, the then send it to the cutting machine, and you can do digital printing also. You can customize, you can use AI to even generate the prints for you. That's just one dimension of customization. So, in terms of sewing, uh, I also have some thoughts that uh I think we don't have to limit ourselves in just sewing. Um, of course, you've seen knitting, there's even 3D direct knitting, and you can link different parts together, but also there's um like RPT type of uh you can use heat bonding, you don't have to always use sewing. So we want to really simplify the processes and eliminate the areas we need a lot of even years of training on manual work. So um from the materials from the get-go to the digital process in the middle to the very end of putting the different pieces together, it could all be different from how clothing is made right now.

Speaker 1 42:26

Right. How far along are you with your production technology?

Speaker 42:33

So we have some uh software built and still in testing, and this is also the reason that I'm starting areas in China is to also be building the physical part of it. So yeah, we'll be uh interesting conversation with O Factory as well, and potentially collaborating.

Virtual Try-On As A New Storefront

Speaker 1 42:58

Yeah, Vincent Vincent mentioned as well uh he would love to learn more about the O Factory. So this could be uh Vincent from the traditional manufacturing side of things, and Trina from Rodinia, and you from the more innovation point of view, and obviously talking about impact that would allow us to eliminate overproduction and tariffs and um big logistical hurdles, um long lead times, etc. Um and make everything available much faster.

Speaker 43:35

Correct, yeah, and uh I think this is also allowing that model of maybe enabling everyone to become shame in a good way, though. So uh I I was discussing this with Ling Sens when we talk about on-demand manufacturing. Is it really about making completely new designs one piece at a time, or is it more like people wanting something they see already in the market and be able to supply that in the leanest manner? Potentially is more likely to be the second because you really need to cater to what the market wants. So if you are doing crazy designs completely new, uh that's a different experience. I think it's also valuable to do, and that's that's why I think putting that in front of consumer is a good approach rather than just building a factory on the back end and making whatever uh that's being ordered.

Speaker 1 44:55

Right. Coming to an end, I would like to ask you, as the visionary that you are, where do you see where it ai? And I think that is also probably an example from where you see the industry going, but where do you see where it in five years from now? How is the setup? What is my customer journey? How do you imagine your business looking like then?

Deep Customization: Fit, Cut, And Prints

Speaker 45:24

Yeah, so as I mentioned, this is enabling a new AI-driven supply chain that cuts down all of the unnecessary back and forth and overproduction. The front end of where it is going to be a new shopping experience. And in fact, shopping and advertising altogether, uh, the consumers themselves become the models. They are buying things based on the style, the imagery they're pursuing, and they're not basing that off from some super skinny, uh, ultra unrealistic models anymore. They actually can see themselves and be the ones that drive the trends, and everyone becomes an influencer, uh, and because then you are actually influencing people around you. People buy things because they trust you. That's already what the industry is alluding to. So your posting of the things is already helping brands do advertisement. And basically, where it is a digital translation of what's already working physically. Um, so it's more like amplifying the effect where you actually went to a physical store, purchased a garment you love, which you tried on there, you walk on the street, people stop you and ask, Oh, this is amazing. Where did you buy it? And you are already advertising for the brand. So we are making this a mass um mechanism digitally. Beautiful. Yeah. Beautiful.

Speaker 1 47:30

And then what I described, connecting to the back end to already make things on demand based on the trends that we see on where it is an exciting journey, and I look forward to see how your business develops and and how you grow, and I'm happy to um connect you to the people in in my network as well, uh, since we share all the same vision and dream um of the Starbucks of the fashion industry, so to say. Um thank you so much, Kitty, for your time today and sharing your vision and your insights. And um let's talk soon again.

Speaker 48:13

Thank you so much. Yeah, let's collaborate and make it happen.