Amazon continues to grow and now he will do it with a physical clothing store.That's right, the electronic commerce giant announced, yesterday, that before this 2022 will open in a Los Angeles shopping center (California, the USA.UU.) his first physical clothing store, baptized as "Amazon Style", and will have artificial intelligence.
In this establishment he will sell women's clothes, shoes and accessories at prices similar to those found on the online platform, as indicated in a statement the company based in Seattle (Washington state.UU.).
In addition, Amazon, which already has supermarkets and physical food stores in some American cities will bet strongly on technology in its establishment of clothing, in which it will not have to be dealt with with humans in the purchase process.
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Store customers will have to use the 'Amazon Shopping' mobile application through which they can scan the QR codes that you will find in the shelves and exhibitors of the clothing to see the sizes and colors available, as well as the valuations of other clients, in the style of the website.
In the event that the client decides that he wants to try a concrete garment, it will be enough to press a button on his mobile so that he is sent to the dressing room, in which articles will be accumulated until the user goes and can try them all at once at the same time.These testers will be equipped with touch screens from which to ask for other products, sizes or colors and leave reviews of the items.
"With the Amazon Shopping application, customers can send items to a tester, where they can use a touch screen to search for more options, qualify items and request more sizes or styles that are sent directly to that same space in a matter of minutes," he explainsThe 'ecommerce' giant.
The purpose of this technological novelty is not wasting time looking for the size and/or color of the garment, as well as loading with many pieces of clothing in the locker room.The store also includes algorithms and recommendations."Amazon Style is based on customization.Our automatic learning algorithms produce personalized realized recommendations for each customer while buying, "stand out in the statement.
"As customers sail through the store and scan the items that attract them attention, we will recommend selections only for them.For even more personalized experience, customers can share information such as their style, adjustment and other preferences ”.
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