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Purchases were simple. You entered a store, tried jeans and decided in 30 seconds if they make your buttocks weird. Today? Most of us buy online for everything – including clothes – and it often goes hilarious, tragically bad.
According to Capital One Shopping Researchnearly 124 million Americans – one in three We will buy online clothes this year. And we will send one in four of these articles. This is added to billions of revenues lost for retailers and a stack of packaging waste, shipping costs and frustration for the rest of us.
Photos of flat products, inconsistent dimensioning graphics and confusing return rules are only part of the problem. Overall, online clothing purchases are always an expensive game of riddle.
The secular problem of “What will I carry today?”
A new breed of fashion tools powered by AI intervenes – not only to reduce yields, but to reclaim the way we discover and buy clothes in the first place.
I tested two of the biggest options: GlanceaiA free virtual style application for iOS and Android, and Google’s new test toolWho uses a generative AI to show what clothes look like on your real body.
I bought clothes that I really like, using both. But are these new generation technological tools perfect? Not yet. Here is what works, what doesn’t do and what you need to know.
Your selfie, stylish
The operation of Glanceai is really simple. Download a complete selfie of the body, and in a few seconds, Glanceai shows photorealist images of You Wearing outfits organized at your body type, complexion and even local time. If you like what you see, type to buy similar products from retailers like Macy,, Northern And Zara.
The goal here is to transform your phone’s camera into your personal stylist. Not a zero size model. Not an avatar rich in filter. You.
“We are not trying to transform you into someone else,” said the CEO of Glanceai, Naveen Tewari. “We are trying to help you discover the best version of you.”
I tested it with a complete selfie of the body and I made myself stylize outfits that really looked like something I would wear – on television and zoom appearances to agricultural tasks and school deposit. After a few boosts, thumb adjustments, the images were surprisingly perfect. No strange proportions. No six fingers. Tewari added: “It is not only” which shirt suits me? “It is” what outfit makes sense for me right now, in my city, with my atmosphere? “”
According to the company, in less than a month since its launch, the application has created more than 40 million personalized outfit images for more than 1.5 million users in the United States only, with 40% of them who are shopping in the application on a weekly basis. Glanceai earns money thanks to affiliation sales.
Where Glanceai promises to improve
Glanceai always feels like a beta application, mainly because it is. I gave Tewari a list of laundry rooms of settings and features that I want to see, and he told me that they were all on the way.
The main “coverage” outfits – those in categories such as “dopamine dressing” or “bold blazers” – do not exist. You draw on this killing flower jacket, but instead, you are redirected to “similar” articles in which you are not. It is a disappointment.
Even when I found something I liked, I wanted to see myself in this exact element,, not an approximation. Tewari says that the two glimpses of direct elements and the best filtering are in preparation. Currently, there is no way to search by style, brand or size.
Another problem? Some clothes just look … dated. I kept thinking: “Wait, I had this exact rugby shirt in 1996.” It is not only a question of matching an outfit to your body type – fashion must feel fresh. According to Tewari, better product flows and more brand partnerships are also about to solve this problem.
And inclusiveness is always lagging behind. The application does not yet work well for more, non -binary or adaptive body types. It is not a minor bug – it is a must.
That said, Glanceai is more than a gadget. It’s fun to share with friends, and if they deliver updates as promised, it will change the way we buy clothes for good.
My suggestion? Try it, train it and know that this is how you will make most of your purchases in a year or two from now on. A year ago, I barely used Chatgpt. Now I use it every day. So do 100 million other people. I could write the same thing about Glanceai in a year.
Google Try-on: AI, but make it available
Google’s latest entry into AI purchases allows you to download a full selfie and see what the real clothes look like You. Not a stock model. Not a composite ai.
The functionality lives in Google Search Labs and is available for certain brands such as Levi’s,, Abercrombie,, Quince And Pistol denim. Realism is impressive. The images generated by AI show how a shirt rivals your shoulders and how the pants adapt to your hips.
How does it work: You are looking for an article – Say: “Blazer in white linen less than $ 100” – then press “Try it”. Download a selfie and google superimpose the item to your image using a genetive AI. No additional application required.
Google’s tools are fueled by its huge purchase graph, which follows more than 50 billion products and updates the announcements in real time. And Google says your photos stay on your device, unless you choose to save or share them.
Where Google is struggling
Here is the drawback: good luck to find which products allow you to try them. There are no clear labels, no filters, no indicators – you just type and hope. It’s successful, and it makes him frustrating.
I used it to buy a pair of Jean mother via Free people. The “Try It On” icon was there when I went to get this specific pants pants. This is luck, not technological competence, which gathered us.
It looks more like a promising technological demo than a reliable daily functionality.
Glanceai against Google AI: What is the difference?
Glanceai is not perfect. Google either. But they are both fasting forward to improve online purchases. Glance is more fun and stylish. Google is more powerful and precise. The two are worth trying if you are tired of the return labels and surprise cultures.
These are different tools solving different parts of the same problem. Ideally, they will converge.
Bonus tools to try
These two are not alone. Some other tools in my smart shopping battery:
Blessed: An extension of the browser which finds used versions of what you shop. This $ 180 blazer could be $ 60 on Poshmark.
Croissant: See the resale value of your item before buying it. A bag of $ 250? Croissant could tell you that it will be sold for $ 100.
Jennifer Jolly is a primary consumer technology columnist at the Emmy Awards and contributor to the antenna for “The Today Show”. The opinions and opinions expressed in this chronicle are the author and do not necessarily reflect those of the United States today. Contact it via Techish.com Or @Jennjolly on Instagram.
