What is Google generative AI for shopping?
Is Google testing generative AI for shopping?
Which Google products use artificial intelligence?
How is AI used in online shopping?

Online shopping is a method that has become very common in recent years. Clothing shopping is one of the most popular products purchased online. There are many different shopping sites for shopping for clothes online. We know that choosing reliable and popular sites is important for a safe shopping experience. However, even though shopping is done from reliable sites, there may be some question marks due to being online.

The most common of these question marks is whether the clothes purchased will be in the desired dimensions. Even if the buyer orders the one that suits his/her body measurements, sometimes we may see that the clothes that arrive are not as expected.

Another question mark is that the color or look of the clothes ordered online without trying them on may not suit the person.

Despite such questionable reasons and the spread of online shopping, there are many people who really want to try and buy clothes, especially when it comes to clothes. Because when the clothes a person actually tries on in a store do not fit their size, it is easy to choose the most suitable one by asking the seller for a smaller or larger size. Or, when she tries on the clothes she sees in the shop window, she may find that the color does not suit her skin, so it may be easier for her to look at different colors.

As an example of these models, a blouse is dressed using artificial intelligence and the following result emerges;

In this way, it becomes clear how the blouse, which appears in only one model and therefore in only one size, in one skin color, can look on different body sizes and skin colors in different models. In the image below, other Google models are dressed with the same blouse by artificial intelligence, and the user is enabled to choose the product physically and visually by looking at the photo of the model that most resembles his own body and skin color.

These types of situations can also be adapted to different types of clothing. For example, there may be people who can buy all types of upper size clothes online without trying them on, but want to buy lower size clothing types only by trying them on in real stores due to the negative experiences they had when shopping online.

The reason for this is that the size measurements of each brand vary. In a survey conducted on this subject, 42% of online shoppers do not feel represented by models' images. 59% of online shoppers are dissatisfied with a product they purchased online because it looks different than what they expected.

Another example is that when a user who normally wears size L in many types of clothes orders an L outfit online, it may be too tight for him and look like he ordered a size S. For this reason, if the user wants to order from the same place again, he/she will learn that he/she must order XXL or 3XL. At this point, which is called "loose fit" or "tight fit", an artificial intelligence-supported system has been developed where the user can get the most suitable version of the clothes he has chosen without having to re-order the version that best suits his body or returning it for reasons such as not matching his skin color.

In the new shopping experience developed by Google with its artificial intelligence system, it is aimed that an outfit will appear as if it were worn on real models for every skin color and body size, so that users can better understand how it will look on them when they buy the product.

What Google has done in this system is as follows; How does an outfit look different on wearers from size XXS to 4XL? To answer this question, instead of having real models in this size range try on clothes one by one and sharing their photos, artificial intelligence photographs them as if they were wearing that outfit and shows all the positions in which the blouse can sit on the person. In other words, it allows to accurately reflect how the garment will curl, fold, stick, stretch, create wrinkles and shadows.

How artificial intelligence is used in shopping?

What is an example of AI in shopping?

What is the future of AI in shopping?

The image below shows Google's models with different body types;

Google Ai Shopping Experience

As an example of these models, a blouse is dressed using artificial intelligence and the following result emerges;

Google Artificial Intelligence Supported Shopping

In this way, it becomes clear how the blouse, which appears in only one model and therefore in only one size, in one skin color, can look on different body sizes and skin colors in different models. In the image below, other Google models are dressed with the same blouse by artificial intelligence, and the user is enabled to choose the product physically and visually by looking at the photo of the model that most resembles his own body and skin color.

Artificial Intelligence Supported Shopping

The benefit of this system, as we mentioned above, can be used for both physical harmony and skin-color harmony. For example, if the user who wants to buy the blouse above has white skin and thinks that it suits black skin better when he examines the models, he can change his color choice. This can eliminate one of the question marks of online shopping without trying it on in a real store.

For other information on the subject, you can review Google's content;