Google starts the era of artificial intelligence in e-commerce

Google has announced a new “virtual experiment” feature that uses generative artificial intelligence technology. This innovation allows users to try on an outfit with artificial intelligence before purchasing it. Google visualizes how an outfit will look on different body types.

Google’s artificial intelligence move in e-commerce will open an era

Google’s new artificial intelligence tool aims to open an era in the e-commerce world. The company will use generative artificial intelligence that powers a variety of chatbots and image creation tools to illustrate how clothes will fit on different bodies. It will also show you how the outfit will hold, fold, or form wrinkles in various poses.

The software giant brought together different clothing patterns, skin tones, body shapes, and ethnicities to enhance the virtual experience. Google will initially focus on women’s clothing from popular brands such as Anthropology, Loft, H&M and Everlane.

Against Bing with ChatGPT: Artificial intelligence is coming to Google Search!

Against Bing with ChatGPT: Artificial intelligence is coming to Google Search!

Google Search gains AI support. According to the announcement at the I/O 2023 event, Google will show the results generated by artificial intelligence.

Artificial intelligence support will be seen first in men’s clothing and shirts. However, Google stated that the sensitivity of the vehicle will improve over time and different body types will be added.

In addition, the company will scan the product that the user tries on other e-commerce platforms on the internet. So it will also show similar products in different colors, patterns or styles from other sellers. This AI-powered visual matching algorithm will allow users to find comparable items.

Google’s integration of productive artificial intelligence into e-commerce follows its search engine powered by artificial intelligence. The search engine will resort to artificial intelligence before the relevant websites. Thus, it will be possible to create comprehensive responses to the user’s specific calls.

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