{"id":150858,"date":"2025-06-18T01:38:34","date_gmt":"2025-06-18T01:38:34","guid":{"rendered":"https:\/\/teknomers.com\/en\/an-ai-that-predicts-trends\/"},"modified":"2025-06-18T01:38:35","modified_gmt":"2025-06-18T01:38:35","slug":"an-ai-that-predicts-trends","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/an-ai-that-predicts-trends\/","title":{"rendered":"An AI that predicts trends."},"content":{"rendered":"\n<h2>Navigating Fashion Trends with AI: The Zhiyi Tech Revolution<\/h2>\n<p>In the competitive \u00a0fashion industry\u00a0, hitting the right trends is crucial, making the difference between a successful sale and racks of unsold clothing. A report from the <a rel=\"noopener, noreferrer nofollow\" href=\"https:\/\/www.scmp.com\/tech\/tech-trends\/article\/3314467\/how-chinese-ai-start-helps-nike-gap-urban-revivo-predict-fashion-trends?utm_source=rss_feed\" target=\"_blank\">South China Morning Post<\/a> highlights how a Chinese startup is assisting brands such as \u00a0Nike\u00a0 and \u00a0GAP\u00a0 in making better decisions by leveraging \u00a0artificial intelligence\u00a0. The technology analyzes data from social media, online stores, and consumer patterns to predict future fashion trends even before they gain traction on platforms like \u00a0TikTok\u00a0.<\/p>\n<p><!-- BREAK 1 --><\/p>\n<h2>The Company Behind the Technology<\/h2>\n<p>Founded in \u00a02018\u00a0 in \u00a0Hangzhou\u00a0, Zhiyi Tech is situated in one of China&#8217;s leading tech hubs, also home to the giant \u00a0Alibaba\u00a0. The company specializes in providing AI-driven solutions that help clothing brands forecast which trends will be bestsellers. In \u00a02022\u00a0, Zhiyi Tech raised \u00a0$100 million\u00a0 across several funding rounds, and its notable clients now include \u00a0Nike\u00a0 and \u00a0GAP\u00a0.<\/p>\n<p><!-- BREAK 2 --><\/p>\n<div class=\"article-asset article-asset-normal article-asset-center\">\n<div class=\"desvio-container\">\n<div class=\"desvio\">\n<div class=\"desvio-figure js-desvio-figure\"><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<h2>Leading Technology in Fashion Forecasting<\/h2>\n<p>Zhiyi&#8217;s flagship software, simply named \u00a0Zhiyi\u00a0, operates on extensive data analysis using artificial intelligence. The company boasts over \u00a01 billion images\u00a0 of materials and \u00a0100 billion patterns\u00a0 of garments in its database. It evaluates which designs are selling well in stores, tracks social media trends, and monitors competitors&#8217; sales. With this wealth of data, and utilizing \u00a0deep-learning\u00a0 and \u00a0AI recognition algorithms\u00a0, Zhiyi claims it can detect shifts in the fashion industry and predict trends, enabling businesses to design and plan more efficiently.<\/p>\n<p><!-- BREAK 3 --><\/p>\n<h2>A Local Success Story<\/h2>\n<p>The Chinese clothing chain \u00a0Urban Revivo\u00a0 is one of Zhiyi Technology&#8217;s key clients, having collaborated since \u00a02020\u00a0. According to \u00a0Zheng Zeyu\u00a0, CEO of Zhiyi, Urban Revivo improved its \u00a0sell-through rate\u00a0 (the ratio of stock sold to stock received) from \u00a060% to 80%\u00a0 in just three years. Additionally, the brand enhanced its chances of creating highly successful products by \u00a05%\u00a0. Given that Urban Revivo launches over \u00a0100,000 designs\u00a0 each year, this means approximately \u00a05,000 exceptionally successful designs\u00a0.<\/p>\n<p><!-- BREAK 4 --><\/p>\n<h2>From China to the Global Market<\/h2>\n<p>Initially focused on the domestic market, Zhiyi started its expansion three years ago with a tool called \u00a0Overseas Exploration\u00a0. This initiative aimed to analyze trends from around the world while still serving Chinese companies. \u00a0Trendscope\u00a0, one of the first products targeting international clients, was launched last year. This tool tracks global sales platforms like \u00a0Amazon\u00a0, \u00a0Temu\u00a0, or \u00a0Shein\u00a0, in addition to social networks like \u00a0Instagram\u00a0 and \u00a0TikTok\u00a0. Major international clients such as \u00a0GAP\u00a0 and \u00a0Nike\u00a0 utilize Zhiyi&#8217;s insights for crucial design decisions, including \u00a0color\u00a0 choices for sportswear and the style of outdoor footwear.<\/p>\n<p><!-- BREAK 5 --><\/p>\n<h2>AI in Design: A Game Changer<\/h2>\n<p>In addition to predictive analytics, Zhiyi has introduced a generative AI tool named \u00a0Fashion Diffusion+\u00a0. This innovative tool creates high-quality designs and images from \u00a0mood boards\u00a0 or sketches. Users can register for a free trial of this tool, experiencing its ability to transform a sketch into a polished render. While the results are impressive, reflecting well on details like pockets and zippers, there\u2019s potential for improvement when compared to other AI platforms like \u00a0ChatGPT\u00a0.<\/p>\n<p><!-- BREAK 6 --><\/p>\n<div class=\"article-asset-image article-asset-normal article-asset-center\">\n<div class=\"asset-content\">\n<div class=\"caption-img\">\n           <img class=\"centro_sinmarco\" height=\"729\" width=\"1051\" loading=\"lazy\" decoding=\"async\"  src=\"https:\/\/teknomers.com\/en\/wp-content\/uploads\/2025\/06\/An-AI-that-predicts-trends.jpeg\" alt=\"Fashion Diffusion\"\/><br \/>\n           <span>Trial with Fashion Diffusion+.<\/span>\n       <\/div>\n<\/p><\/div>\n<\/div>\n<p>The tool aspires to become a type of \u00a0ChatGPT\u00a0 for fashion design, enabling users to create designs based on natural language prompts without needing detailed images or drawings to start. An enhanced version of the tool is expected to be launched soon, particularly targeting international clients, although current iterations reveal that there is still room for growth.<\/p>\n<p><!-- BREAK 7 --><\/p>\n<h2>AI Adoption in the Fashion Industry<\/h2>\n<p>The application of AI in fashion isn&#8217;t confined to Zhiyi alone. Companies like \u00a0Inditex\u00a0, owner of \u00a0Zara\u00a0, have been investing in big data, AI, and analytics since \u00a02018\u00a0 to enhance their operations. They&#8217;ve collaborated with startups like \u00a0Jetlore\u00a0 to better predict consumer behavior. Likewise, \u00a0Uniqlo\u00a0 integrates AI throughout its processes\u2014from design to supply chain management\u2014using data analytics to detect new trends and adapt accordingly. This technological approach increasingly captures consumer movements in stores to better allocate \u00a0prime retail space\u00a0.<\/p>\n<p><!-- BREAK 8 --><\/p>\n<div class=\"article-asset article-asset-normal article-asset-center\">\n<div class=\"desvio-container\">\n<div class=\"desvio\">\n<div class=\"desvio-figure js-desvio-figure\">\n                <img loading=\"lazy\" decoding=\"async\" alt=\"La transformaci\u00f3n digital de Inditex ya est\u00e1 aqu\u00ed: cada vez consigue m\u00e1s ventas con menos tiendas\" width=\"375\" height=\"142\" src=\"https:\/\/teknomers.com\/en\/wp-content\/uploads\/2025\/06\/1750210713_299_An-AI-that-predicts-trends.jpeg\"\/>\n            <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<p>As generative AI continues to evolve, its applications span multiple sectors, from predicting marketing trends to shaping the future of finance and healthcare. In a world increasingly driven by data, understanding trends through platforms like Zhiyi Tech may well become the standard in fashion design strategy moving forward.<\/p>\n<p>Image Source: <a rel=\"noopener, noreferrer nofollow\" href=\"https:\/\/pixabay.com\/es\/photos\/centro-comercial-escaparate-1316787\/\" target=\"_blank\">Pixabay<\/a><\/p>\n<p><br \/>\n<br \/><a href=\"https:\/\/teknomers.com\/category\/general\/\" rel=\"dofollow\">General News &#8211; 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Navigating Fashion Trends with AI: The Zhiyi Tech Revolution In the competitive \u00a0fashion industry\u00a0, hitting the right trends is crucial, making the difference between a successful sale and racks of unsold clothing. A report from the South China Morning Post highlights how a Chinese startup is assisting brands such as \u00a0Nike\u00a0 and \u00a0GAP\u00a0 in making [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":149841,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[2426,19130],"class_list":["post-150858","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-predicts","tag-trends"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/150858","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=150858"}],"version-history":[{"count":0,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/150858\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/149841"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=150858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=150858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=150858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}