Post Thumbnail

Google Shopping launches AI tool

Google announced the launch of a new AI tool for the Shopping tab that will help users find clothing based on their verbal description. The announcement, made on Wednesday, March 5, 2025, also includes expanding the capabilities of augmented reality (AR) tools for cosmetics and virtual try-on.

The new feature, called “Vision Match,” is already available in the search interface on mobile devices for users in the US. It allows shoppers to describe an item of clothing they imagine, after which artificial intelligence offers ideas based on this description, as well as shows the best available options that can be purchased.

To use this feature, users need to enter their idea in the search bar and scroll to the suggestion “Can’t find it? Create it” or go to the left panel of the Shopping tab and select “Create & Shop.”

It is worth noting that the Vision Match feature was available to testers as an experimental capability in Google Labs since 2023, and only now has it become widely available.

In addition, Google announced the launch of the ability to simultaneously use multiple cosmetic products in the AR beauty feature. Starting this week, users in the US can virtually try on and purchase various lipsticks, mascaras, eyeshadows, and eyeliners from a wide range of brands, including E.L.F., Fenty, Glossier, and many others.

To use the AR beauty feature, mobile device owners just need to search, for example, for “soft glam” — a fashionable makeup — and then select the options “View looks on yourself” and “Try on” to virtually apply neutral eyeshadow, pink blush, lip gloss, and other cosmetic products.

Google is also expanding the virtual try-on capabilities introduced in 2023, which allows customers to see how clothing looks on different models. Now shoppers can visualize pants and skirts from hundreds of brands on real-life models in sizes from XXS to XXL.

These innovations reflect the growing trend of integrating artificial intelligence and augmented reality technologies into online shopping, making the shopping process more interactive and personalized. The combination of AI tools for search by description with virtual try-on capabilities significantly simplifies the search for the right clothing and cosmetics, allowing users to more accurately visualize products before purchase.

Autor: AIvengo
For 5 years I have been working with machine learning and artificial intelligence. And this field never ceases to amaze, inspire and interest me.
Latest News
UBTech will send Walker S2 robots to serve on China's border for $37 million

Chinese company UBTech won a contract for $37 million. And will send humanoid robots Walker S2 to serve on China's border with Vietnam. South China Morning Post reports that the robots will interact with tourists and staff, perform logistics operations, inspect cargo and patrol the area. And characteristically — they can independently change their battery.

Anthropic accidentally revealed an internal document about Claude's "soul"

Anthropic accidentally revealed the "soul" of artificial intelligence to a user. And this is not a metaphor. This is a quite specific internal document.

Jensen Huang ordered Nvidia employees to use AI everywhere

Jensen Huang announced total mobilization under the banner of artificial intelligence inside Nvidia. And this is no longer a recommendation. This is a requirement.

AI chatbots generate content that exacerbates eating disorders

A joint study by Stanford University and the Center for Democracy and Technology showed a disturbing picture. Chatbots with artificial intelligence pose a serious risk to people with eating disorders. Scientists warn that neural networks hand out harmful advice about diets. They suggest ways to hide the disorder and generate "inspiring weight loss content" that worsens the problem.

OpenAGI released the Lux model that overtakes Google and OpenAI

Startup OpenAGI released the Lux model for computer control and claims this is a breakthrough. According to benchmarks, the model overtakes analogues from Google, OpenAI and Anthropic by a whole generation. Moreover, it works faster. About 1 second per step instead of 3 seconds for competitors. And 10 times cheaper in cost per processing 1 token.