{"id":36764,"date":"2021-02-26T09:07:33","date_gmt":"2021-02-26T09:07:33","guid":{"rendered":"https:\/\/www.vmengine.net\/2021\/02\/26\/artificial-intelligence-is-also-able-to-predict-fashion-trends\/"},"modified":"2025-05-23T17:27:09","modified_gmt":"2025-05-23T17:27:09","slug":"artificial-intelligence-is-also-able-to-predict-fashion-trends","status":"publish","type":"post","link":"http:\/\/temp_new.vmenginelab.com\/en\/2021\/02\/26\/artificial-intelligence-is-also-able-to-predict-fashion-trends\/","title":{"rendered":"Artificial intelligence is also able to predict fashion trends"},"content":{"rendered":"<div class=\"et_pb_section et_pb_section_253 et_section_regular\" >\n<div class=\"et_pb_row et_pb_row_351\">\n<div class=\"et_pb_column et_pb_column_4_4 et_pb_column_357  et_pb_css_mix_blend_mode_passthrough et-last-child\">\n<div class=\"et_pb_module et_pb_text et_pb_text_841  et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<h4><i><span style=\"font-weight: 400;\">Finesse, an American start-up, challenges the tradition of fashion and deploys a set of artificial intelligence tools that allow us to know consumer preferences.  <\/span><\/i><\/h4>\n<\/div><\/div>\n<div class=\"et_pb_module et_pb_text et_pb_text_842  et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<p><span style=\"font-weight: 400;\">The start-up has received $45 million in investment, including former Twitter chief engineer Alex Roetter, Collective Health CEO Ali Diab, Hoxton Ventures, MaC Venture Capital, Mango Capital and Fab Fit Fun co-founder Sam Teller.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Founder and CEO Ramin Ahmari, wants to stop the <strong>overproduction of garments<\/strong> and wants to leverage data to produce clothing according to users&#8217; tastes.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The official website faithfully reflects the idea of breaking with the usual canons of fashion and makes clear the concept of <\/span><i><br \/>\n  <span style=\"font-weight: 400;\">change through style, society and sustainability<\/span><br \/>\n<\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<\/div><\/div>\n<div class=\"et_pb_module et_pb_text et_pb_text_843  et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<p style=\"text-align: center;\">\n<blockquote>\n<p style=\"text-align: left;\"><i><span style=\"font-weight: 400;\">YOUR VOTES,<\/span><\/i><\/p>\n<p style=\"text-align: left;\"><i><span style=\"font-weight: 400;\">YOUR VOICE<\/span><\/i><\/p>\n<p style=\"text-align: left;\"><i><span style=\"font-weight: 400;\">YOUR BRAND.<\/span><\/i><\/p>\n<p style=\"text-align: left;\"><i><span style=\"font-weight: 400;\">Our artificial intelligence scrolls through the web to find out what&#8217;s trending. How do you measure it?<\/span><\/i><\/p>\n<p style=\"text-align: left;\"><i><span style=\"font-weight: 400;\">  Do you like the dress? Vote up, pre-order, and be ready to copy it as soon as it drops.<\/span><\/i><\/p>\n<\/blockquote>\n<\/div><\/div>\n<div class=\"et_pb_module et_pb_text et_pb_text_844  et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<p><span style=\"font-weight: 400;\">The concept of the startup is all here, the user chooses which style or which dress suits him and pre-orders it at the lowest price and in less than 25 days it is on sale.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Behind the proposals put forward by Finesse are the tools of <strong>artificial intelligence<\/strong>, <strong>language analysis<\/strong>,<strong> statistical analysis<\/strong>, <strong>machine learning<\/strong> and <strong>deep learning<\/strong> that allow it to receive a continuous flow of invaluable feedback from all social platforms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Finesse has the potential to<strong> predict the explosion of a future trend<\/strong> before it even goes viral, just think of how much style is now influenced by prominent personalities who create trends simply by wearing a garment or using a certain accessory. Fashion no longer parades on the catwalk, but between likes and comments on social media and thanks to this data Finesse is able to predict what the public will like ahead of time.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The manufacturing process in Finesse is also made fast thanks to the use of design and modeling <strong>software<\/strong> such as CLO3D, a tool that allows you to create clothes in 3D, to modify the models with colors and virtual fabrics.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The company aims to break not only the rules of fashion, in fact, in addition to emphasizing sustainability, it also opens the doors to the LGBTQ community, which is why all the startup&#8217;s products are designed for any gender.<\/span><\/p>\n<\/div><\/div>\n<div class=\"et_pb_module et_pb_text et_pb_text_845  et_pb_text_align_left et_pb_bg_layout_light\">\n<div class=\"et_pb_text_inner\">\n<p><span style=\"font-weight: 400;\">In this futuristic vision of the fashion industry, VMEngine as an <strong>AWS Advanced Partner<\/strong> boasts the opportunity<a href=\"https:\/\/aws.amazon.com\/it\/\"> <\/a> to offer its customers differentiated solutions in the field of artificial intelligence.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">In fact, the Artificial Intelligence services offered by Amazon Web Services are open to different sectors, ranging from<\/span> <a href=\"https:\/\/aws.amazon.com\/it\/rekognition\/?blog-cards.sort-by=item.additionalFields.createdDate&amp;blog-cards.sort-order=desc\"><span style=\"font-weight: 400;\">photo and video analysis<\/span><\/p>\n<p><\/a><span style=\"font-weight: 400;\"> to <a href=\"https:\/\/aws.amazon.com\/it\/personalize\/?c=ml&amp;sec=srv\">personalizing the customer experience<\/a> through machine learning, from the <a href=\"https:\/\/aws.amazon.com\/it\/forecast\/?c=ml&amp;sec=srv\">creation of prediction models based<\/a> on machine learning to <a href=\"https:\/\/aws.amazon.com\/it\/fraud-detector\/?c=ml&amp;sec=srv\">the prediction of potentially fraudulent online activities<\/a>. <\/span> <\/p>\n<p>&nbsp;<\/p>\n<\/div><\/div>\n<div class=\"et_pb_module et_pb_cta_113 et_animated et_pb_promo  et_pb_text_align_center et_pb_bg_layout_dark\">\n<div class=\"et_pb_promo_description\">\n<div>\n<p><span style=\"font-weight: 400;\">Want to know which AI service best suits your business?<\/span><\/p>\n<\/div>\n<\/div>\n<div class=\"et_pb_button_wrapper\"><a class=\"et_pb_button et_pb_promo_button\" href=\"https:\/\/temp_new.vmenginelab.com\/en\/contacts\/\" target=\"_blank\">LEARN MORE  <\/a><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Finesse, an American start-up, challenges the tradition of fashion and deploys a set of artificial intelligence tools that allow us to know consumer preferences. The start-up has received $45 million in investment, including former Twitter chief engineer Alex Roetter, Collective Health CEO Ali Diab, Hoxton Ventures, MaC Venture Capital, Mango Capital and Fab Fit Fun [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":32550,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[97,2297],"tags":[],"class_list":["post-36764","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en","category-news-en"],"aioseo_notices":[],"jetpack_featured_media_url":"http:\/\/temp_new.vmenginelab.com\/wp-content\/uploads\/2021\/02\/immagine-articolo-finesse-1.jpg","amp_enabled":true,"_links":{"self":[{"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/posts\/36764","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/comments?post=36764"}],"version-history":[{"count":1,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/posts\/36764\/revisions"}],"predecessor-version":[{"id":41555,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/posts\/36764\/revisions\/41555"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/media\/32550"}],"wp:attachment":[{"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/media?parent=36764"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/categories?post=36764"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/temp_new.vmenginelab.com\/en\/wp-json\/wp\/v2\/tags?post=36764"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}