{"id":17565,"date":"2024-04-15T18:22:11","date_gmt":"2024-04-15T12:52:11","guid":{"rendered":"https:\/\/www.vue.ai\/blog\/?p=17565"},"modified":"2024-04-26T15:37:14","modified_gmt":"2024-04-26T10:07:14","slug":"ai-in-pre-production-of-garment-sampling-2024","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/","title":{"rendered":"How AI Reshapes Fashion Pre-Production in 2024"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_65 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69fc9913f199c\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69fc9913f199c\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/#pre-production-stage\" title=\"Pre-production stage\">Pre-production stage<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/#on-model-fashion-imagery-solution-powered-by-ai\" title=\"On-Model Fashion Imagery Solution Powered by AI\">On-Model Fashion Imagery Solution Powered by AI<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/#streamlining-garment-sampling-pre-production-processes\" title=\"Streamlining Garment Sampling Pre-Production Processes\">Streamlining Garment Sampling Pre-Production Processes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/#empowering-decision-making-across-the-supply-chain\" title=\"Empowering Decision-Making Across the Supply Chain\">Empowering Decision-Making Across the Supply Chain<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">3<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>\n<p>Each year, millions of tons of fashion-related waste flood our landfills, leaving a trail of environmental issues. This alarming trend could depend on various factors, including overproduction, the fast fashion culture, changing trends, low-quality materials, unsold inventory, production errors, consumer behavior, or the absence of circular economy initiatives.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"667\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2024\/04\/shutterstock_1099780760.jpg\" alt=\"\" class=\"wp-image-17566\" style=\"width:657px;height:auto\"\/><\/figure>\n\n\n\n<p>According to <a href=\"https:\/\/gitnux.org\/fast-fashion-statistics\/\">Gitnux Market data report<\/a> 2024, there are <strong>92 million tons of fashion-related waste<\/strong> each year, producing half a million tons of microplastics. Additionally, 15% of the fabric used in production is wasted, and a staggering 57% of all discarded clothes end up in landfills. The numbers are never-ending.<\/p>\n\n\n\n<p>Fashion garment production planning could be greatly enhanced by integrating artificial intelligence into the pre-production stage of fashion, potentially reducing costs, minimizing material wastage, and streamlining the time and effort required to bring them to life.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pre-production-stage\"><\/span>Pre-production stage<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image size-full is-resized is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"2240\" height=\"1260\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2024\/04\/Pre-production-w-AI.png\" alt=\"\" class=\"wp-image-17567\" style=\"width:776px;height:auto\"\/><\/figure>\n\n\n\n<p>The pre-production stage commences with the conceptualization of the design, followed by steps such as patterning, material sourcing, and testing, as illustrated in the picture above. These steps require considerable time for a designer to see their concept materialize on a model. Subsequently, a decision must be made on whether to make further adjustments to the garment or produce additional samples.<\/p>\n\n\n\n<p>The key point conveyed here is that it consumes a significant amount of time, effort, and resources for an idea to progress to the sample stage. Moreover, if a garment is rejected during the testing phase, it results in substantial material wastage across different designs and sizes.<\/p>\n\n\n\n<p>This is where AI can truly shine!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"on-model-fashion-imagery-solution-powered-by-ai\"><\/span>On-Model Fashion Imagery Solution Powered by AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>At Vue.ai, we&#8217;ve developed VueModel, an automated <a href=\"https:\/\/www.vue.ai\/products\/on-model-imagery\/\">on-model imagery solution<\/a> that empowers eCommerce fashion brands worldwide to create high-quality on-model images for product description pages (PDPs) using AI. The solution accepts various input images, ranging from 3D-rendered garment images to mannequin and ghost mannequin images.<\/p>\n\n\n\n<p>However, VueModel doesn&#8217;t just solve the challenge of creating on-model imagery for PDP pages, but also <strong>easily integrates into the pre-production stage<\/strong>, before the garment is even born.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-style-default\"><a href=\"https:\/\/www.vue.ai\/products\/on-model-imagery\/\"><img loading=\"lazy\" decoding=\"async\" width=\"2240\" height=\"1260\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2024\/04\/Pre-production-w-AI-2.png\" alt=\"Vue.ai's on-model imagery solution - how it works\" class=\"wp-image-17569\"\/><\/a><\/figure>\n\n\n\n<p>The <strong>Generative AI models play a significant role<\/strong> in this process by accurately tagging and syncing attribute data. They understand both the human model&#8217;s attributes and the garment&#8217;s dimensions to perfectly synchronize, enabling a realistic on-model representation of 3D-rendered garments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"streamlining-garment-sampling-pre-production-processes\"><\/span>Streamlining Garment Sampling Pre-Production Processes<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>After the designer conceptualizes the design and creates 3D rendered files, they can use the solution to <strong>visualize rendered garments on different human models in a digital space.<\/strong> <\/p>\n\n\n\n<p>This enables them to iterate on designs digitally before sourcing materials and creating physical samples, providing a quick preview of the design&#8217;s potential outcome, thereby <strong>minimizing back-and-forth communication and material wastage.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"empowering-decision-making-across-the-supply-chain\"><\/span>Empowering Decision-Making Across the Supply Chain<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Merchandisers and buyers can leverage this capability to showcase designs on models of <strong>different sizes, ethnicities, and even swap colors<\/strong> and styles for better decision-making in production. This not only fits seamlessly into their brand language but also enhances buyer\u2019s buying decision-making processes. Imagine an actual photoshoot of a product that doesn&#8217;t even exist &#8211; it makes a lot of difference.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-style-default\"><a href=\"https:\/\/www.vue.ai\/products\/on-model-imagery\/\"><img loading=\"lazy\" decoding=\"async\" width=\"6912\" height=\"3456\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2024\/04\/Size-Visualization-1.jpg\" alt=\"on-model product imagery powered by AI\" class=\"wp-image-17570\"\/><\/a><\/figure>\n\n\n\n<p>Such an approach can be applied in various settings including PDP (Product Detail Page) settings and road shows, aiding in making the right manufacturing decisions. With on-the-board 3D tech, buyers can visualize different styling elements, enabling them to make informed choices and ultimately driving sales.<\/p>\n\n\n\n<p>By using AI into the design conceptualization stage, merchandisers and designers can streamline the entire sampling process more efficiently and in an environmentally friendly manner. This bypassing of other steps not only reduces material waste but also saves valuable time in the production processes.&nbsp;<\/p>\n\n\n\n<p>Moreover, <strong>it can significantly reduce costs<\/strong> associated with traditional sampling methods, further enhancing the economic efficiency of the production process.&nbsp;<\/p>\n\n\n\n<p>To learn more about Automated On-Model Fashion Imagery and Vue.ai, click <a href=\"https:\/\/www.vue.ai\/products\/on-model-imagery\/\">here<\/a>.<\/p>\n\n\n\n<p><strong>Read related articles:<\/strong><\/p>\n\n\n\n<p><a href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/reduce-photoshoot-costs-guide\/\">Reduce Photoshoot Costs: A Retailer\u2019s Guide<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/reduce-retail-returns-ai-fix\/\">Reduce Retail Returns: An AI-Powered Fix<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/product-photoshoot-alternative\/\">A Better Way of Creating Product Photos: Photoshoot Alternative for Fashion Retail<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">3<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span> Each year, millions of tons of fashion-related waste flood our landfills, leaving a trail of environmental issues. This alarming trend could depend on various factors, including overproduction, the fast fashion culture, changing trends, low-quality materials, unsold inventory, production errors, consumer behavior, or the absence of circular economy initiatives. According to Gitnux Market data report 2024,  &#8230;<\/p>\n","protected":false},"author":62,"featured_media":17696,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1162],"tags":[17,1538,575,1539,631,523],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How AI Reshapes Fashion Pre-Production in 2024 | Vue.ai<\/title>\n<meta name=\"description\" content=\"Discover how AI streamlines pre-production garment sampling, optimizing design visualization, and cutting material wastage and costs.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vue.ai\/blog\/ai-in-retail\/ai-in-pre-production-of-garment-sampling-2024\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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