Google’s innovative application of generative A.I. into virtual dressing rooms allows users to take a photo of a product (e.g., a shirt) and choose among a diverse set of models to “try on” the product.
The Five Most-Key Takeaways from This Blog Post
- Google itself mentions the sci-fi ingenuity of Cher Horowitz’s closet in Clueless as an early pop-culture what-if about a virtual try-on (V.T.O.) platform.
- By using separate neural networks that allow for precise image segmentation, the V.T.O. is able to flexibly adapt to representing a wide range of models in a wide range of poses modeling a wide range of clothing items.
- The training of the system involved a pair of images, one of a garment and another of a person. The goal was for the A.I. to “fit” the garmet onto the person. Worth mentioning, the people are real, although the generated photos in different poses of course involve gen-A.I. manipulation of the source photographs.
- For consumers, this affords the opportunity to use virtual fitting rooms with the models who have bodies like the user—or perhaps like someone that the user is looking to buy clothing for.
- For business owners in the apparel industry, this can make the online shopping experience for the clothes you offer more comprehensive.
Step Into a Digital Dressing Room
The usefulness here is that all it takes is a single image of a piece of clothing to get the process going.
Just one image, and suddenly Google’s arsenal of clothing models can try on that piece of clothing for you.
And it is not some sloppy copy-and-paste job, either—it truly looks like the clothing is on the model.
The following are some words that Google likes to use to emphasize the V.T.O. platform’s ability to adapt a photographed clothing item to a model: “drape, fold, cling, stretch and form wrinkles and shadows”.
In other words, Google’s V.T.O. is built with the goal to create realistic fittings of clothes onto a model of your choice.
Deeper Down the Shopping Rabbit-hole
So you find a clothing item you like and have a V.T.O. model try it on, but you discover you do not like how it drapes in a front three-quarter view.
Fret not, because Google is here to keep your engine running on the Consumer Journey you are currently on. It can recommend other similar clothing items for you to have the model try on, so that you are more likely to find something that is indeed the right fit.
The idea is to have the online shopping experience better resemble the in-person shopping experience. Interestingly, the vice-versa is also true, as hybrid shopping is shaping up to make in-person shopping resemble the online shopping experience.
In the case of V.T.O. and the continual recommendations, the goal is to make it seem like you have an attendant staff member ready at your beck and call to fetch another similar item.
To make the process seamless and easy is the entire point, because is it not the case that the more effort you need to make a purchase, the less likely you are to even bother starting down that particular consumer journey?
The Last (But Not Least) Key Takeaway
Virtual try-ons will have an important impact on businesses that offer apparel online.
Instead of consumers having to first imagine how the clothing would fit on them, then make the gamble purchase of seeing whether imagination would like with reality, the consumer can get a better picture in the form of an actual picture.
The result is that consumers could be much more likely to make a purchase online than before, thanks to being able to visualize how an article of clothing would look in different poses, in different body sizes.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on A.I. technologies of interest to business owners, with especial focus on the impact this tech will have on commerce as a whole.
On a usual week, there are multiple GO AI blog posts going out. Here are some notable recent articles:
- For Businesses and Other Organizations, What Makes a Successful Chatbot?
- IBM Watson vs. ChatGPT vs. Gemini: How Will Each Affect Search Engines?
- Using A.I. to Find Resources for Business Owners
- How Would Restricting Open-Source A.I. Affect Business Owners?
- The EU’s A.I. Act Has Become Law: The Implications for Business Owners (Especially American)
In addition to our GO AI blog, we also have a blog that offers important updates in the world of search engine optimization (SEO), with blog posts like “Google Ends Its Plan to End Third-Party Cookies”.
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