{"id":57405,"date":"2026-10-14T09:39:06","date_gmt":"2026-10-14T01:39:06","guid":{"rendered":"https:\/\/www.1ai.net\/?p=57405"},"modified":"2026-09-15T15:42:47","modified_gmt":"2026-09-15T07:42:47","slug":"dressed%ef%bc%9a%e5%9f%ba%e4%ba%8eai%e7%9a%84%e4%b8%aa%e4%ba%ba%e8%a1%a3%e6%a9%b1%e6%90%ad%e9%85%8d%e4%b8%8e%e9%80%a0%e5%9e%8b%e5%8a%a9%e6%89%8b%ef%bc%8c%e8%87%aa%e5%8a%a8%e7%94%9f%e6%88%90%e4%b8%aa","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/57405.html","title":{"rendered":"DRESSED: AI-BASED PERSONAL CLOSET MATCHING AND MODELING ASSISTANT, AUTOMATICALLY GENERATING PERSONALIZED WEAR ADVICE"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-57406\" title=\"2357d40jlanv00kd000oh00dop\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/09\/2357dd40j00tleanv006kd000oh00dop.jpg\" alt=\"2357d40jlanv00kd000oh00dop\" width=\"881\" height=\"492\" \/><\/p>\n<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/dressed\" title=\"_OTHER ORGANISER\" target=\"_blank\" >DRESSED<\/a> It's an artificial intelligence-driven<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%a1%a3%e6%a9%b1%e7%ae%a1%e7%90%86\" title=\"[Sees articles with [Chamber Management] labels]\" target=\"_blank\" >Garment Management<\/a>With wear help, the aim is to provide users with a daily dressing programme by analysing existing clothing. By integrating weather, scheduling and personal preferences, it helps users to solve their daily wear and tear within seconds. The tool not only optimizes the use of existing closets, but also provides individualized shopping advice based on user needs, making daily clothing efficient and less costly\u3002<\/p>\n<h2 class=\"translation-text-wrapper\" data-ries-data-process=\"4\" data-group-id=\"group-4\"><span id=\"lwptoc2\"><strong>DRESSED FUNCTION<\/strong><\/span><\/h2>\n<ol>\n<li>Daily smart-on-the-job recommendations: A complete daily-clothing package is automatically generated according to weather, schedule and recent wear-on record\u3002<\/li>\n<li>Personalized quality memory: building an exclusive style file through each user ' s feedback to ensure that the recommendations become more accurate over time\u3002<\/li>\n<li>Scheduling: Synchronizing Google calendars to provide tailored dress advice for official meetings or recreational occasions, depending on the specific needs of the day\u3002<\/li>\n<li>A week's pre-package: planning for a full-on Monday to Friday in advance effectively avoids the anxiety of temporarily selecting clothes in busy mornings\u3002<\/li>\n<li>List of intelligent travel packs: Based on destination weather forecasts and existing clothing, a reasonable list of travel packs is automatically generated to prevent excessive carrying or omission of essentials\u3002<\/li>\n<li>Precision Shopping Assistant: Identification of missing individual items in the closet and provision of optional purchase advice based on user size, preferred colour and budget range\u3002<\/li>\n<\/ol>\n<p>Official website link:<a href=\"https:\/\/trydressed.com\">https:\/\/trydressed.com<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>DRESSED IS AN ARTIFICIALLY INTELLIGENT CLOSET MANAGEMENT AND WEAR ASSISTANT, WHICH IS DESIGNED TO PROVIDE USERS WITH A DAILY TRANSIT PROGRAMME BY ANALYSING EXISTING CLOTHING. BY INTEGRATING WEATHER, SCHEDULING AND PERSONAL PREFERENCES, IT HELPS USERS TO SOLVE THEIR DAILY WEAR AND TEAR WITHIN SECONDS. THE TOOL NOT ONLY OPTIMIZES THE USE OF EXISTING CLOSETS, BUT ALSO PROVIDES INDIVIDUALIZED SHOPPING ADVICE BASED ON USER NEEDS, MAKING DAILY CLOTHING EFFICIENT AND LESS COSTLY. DRESSED FUNCTIONS DAILY SMART-ON-THE-JOB RECOMMENDATIONS: AUTOMATICALLY GENERATE A COMPLETE DAILY-CLOTHING MIX BASED ON WEATHER, SCHEDULE AND RECENT WEAR HISTORY. PERSONALIZED QUALITY MEMORY: BUILDING AN EXCLUSIVE STYLE FILE THROUGH EACH USER ' S FEEDBACK TO ENSURE THAT THE RECOMMENDATIONS BECOME MORE ACCURATE OVER TIME. SCHEDULING: SYNCHRONIZING GOOGLE CALENDAR, ACCORDING TO THE SPECIFICS OF THE DAY<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,140,141],"tags":[2939,9097,9098,9101,9100,9099],"collection":[],"class_list":["post-57405","post","type-post","status-publish","format-standard","hentry","category-product","category-qita","category-shangye","tag-ai","tag-dressed","tag-9098","tag-9101","tag-9100","tag-9099"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=57405"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57405\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=57405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=57405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=57405"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=57405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}