{"version":"1.0","provider_name":"CIM - Competence Center","provider_url":"https:\/\/cim.eu\/en\/","title":"Casi Studio - AI for the textile industry - CIM - Competence Center","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"wfMAhzgen7\"><a href=\"https:\/\/cim.eu\/en\/case-studies\/ai-for-the-textile-industry\/\">AI for the textile industry<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/cim.eu\/en\/case-studies\/ai-for-the-textile-industry\/embed\/#?secret=wfMAhzgen7\" width=\"600\" height=\"338\" title=\"&#8220;AI for the textile industry&#8221; &#8212; CIM - Competence Center\" data-secret=\"wfMAhzgen7\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/cim.eu\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"\/\/cim-eu.imgix.net\/wp-content\/uploads\/2025\/10\/ai-industria-tessile1-768x543.png","thumbnail_width":600,"thumbnail_height":424,"description":"In the textile industry (understood as yarns and fabrics), production planning faces particular challenges in operational production planning due to the variability of weaves and fabrics depending on the seasons. An additional challenge is fast fashion, which forces textile producers to work outside of orders (\u201cin stock,\u201d meaning they sell what has already been produced), [&hellip;]"}