{"id":20385,"date":"2025-11-18T13:01:27","date_gmt":"2025-11-18T13:01:27","guid":{"rendered":"https:\/\/www.prime-ai.com\/?p=20385"},"modified":"2025-11-19T14:22:50","modified_gmt":"2025-11-19T14:22:50","slug":"stop-fixing-sizes-in-your-erp","status":"publish","type":"post","link":"https:\/\/www.prime-ai.com\/en\/media\/stop-fixing-sizes-in-your-erp\/","title":{"rendered":"Stop \u201cFixing\u201d Sizes in Your ERP. Let AI Do the Hard Work"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"20385\" class=\"elementor elementor-20385\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6584349c e-flex e-con-boxed e-con e-parent\" data-id=\"6584349c\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1302c39c elementor-widget elementor-widget-heading\" data-id=\"1302c39c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Stop \u201cFixing\u201d Sizes in Your ERP. Let AI Do the Hard Work.<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4d023c7d e-flex e-con-boxed e-con e-parent\" data-id=\"4d023c7d\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-7c0b0d8c e-con-full e-flex e-con e-child\" data-id=\"7c0b0d8c\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7041a481 elementor-widget elementor-widget-text-editor\" data-id=\"7041a481\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Multi-brand fashion retail is built on variety.<br \/>Variety of styles, brands, fits, origins\u2026 and of course, <strong>size systems<\/strong>.<\/p><p>And that last part is where the chaos lives.<\/p><p>Most multi-brand retailers are stuck in the same loop:<\/p><ul><li>Suppliers send size data in different formats and systems<\/li><li>Teams \u201cclean\u201d or <strong>normalise<\/strong> that data in the ERP\/PIM<\/li><li>Size charts are manually adjusted<\/li><li>AI or size-finder tools are plugged in <em>after<\/em> this manual rework<\/li><\/ul><p>It feels organised. In reality, it\u2019s often doing more harm than good.<\/p><p>In this article, I\u2019ll argue something that may feel counter-intuitive:<\/p><p><strong>Stop editing sizing nomenclature in your ERP.<br \/>Preserve what suppliers send and let AI connect the dots.<\/strong><\/p><p>If you get this right, you unlock better sizing recommendations, lower refunds, and <em>far<\/em> more reliable analytics, especially if you\u2019re running a multi-brand or marketplace model.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-76ca6cca e-con-full e-flex e-con e-child\" data-id=\"76ca6cca\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-521ec421 e-con-full e-flex e-con e-child\" data-id=\"521ec421\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6f4486a7 elementor-widget elementor-widget-image\" data-id=\"6f4486a7\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes.webp\" class=\"attachment-large size-large wp-image-20388\" alt=\"Text graphic stating \u2018Stop fixing sizes in your ERP. Let AI do the hard work\u2019 on a dark background with blue and pink circular patterns.\" srcset=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes.webp 1024w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes-300x300.webp 300w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes-150x150.webp 150w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes-768x768.webp 768w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/11\/stop_fixing_sizes-12x12.webp 12w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f39cc85 e-flex e-con-boxed e-con e-parent\" data-id=\"f39cc85\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-06bd3f1 e-grid e-con-full e-con e-child\" data-id=\"06bd3f1\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-57a10d4 elementor-widget elementor-widget-video\" data-id=\"57a10d4\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/abBz67D-rvs&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-462b302 elementor-widget elementor-widget-html\" data-id=\"462b302\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<iframe style=\"border-radius:12px\" src=\"https:\/\/open.spotify.com\/embed\/episode\/66PcmATyp7owa8yqP93tnl?si=IchlVUgqQ46_zwJ-liLIIg\" width=\"100%\" height=\"152\" frameBorder=\"0\" allowfullscreen=\"\" allow=\"autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture\" loading=\"lazy\"><\/iframe>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-462f1fae e-flex e-con-boxed e-con e-parent\" data-id=\"462f1fae\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-70596159 e-con-full e-flex e-con e-child\" data-id=\"70596159\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-760d2360 elementor-widget elementor-widget-text-editor\" data-id=\"760d2360\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If you sell multiple brands, you already know there is no such thing as \u201cuniversal sizing\u201d:<\/p><ul><li>Brand A\u2019s <strong>EU 38<\/strong> fits like Brand B\u2019s <strong>EU 40<\/strong><\/li><li>\u201cM\u201d in one Korean brand is closer to \u201cXS\u201d in a US brand<\/li><li>A slim-fit shirt and a relaxed-fit shirt have the same nominal size but completely different feel<\/li><li>The <em>same SKU<\/em> can fit differently in another <strong>colour<\/strong> or <strong>production batch<\/strong><\/li><\/ul><div><b>\u00a0<\/b><\/div><p>Now multiply that across:<\/p><ul><li>Hundreds or thousands of brands<\/li><li>Tens of thousands of SKUs<\/li><li>Constant seasonal assortment changes<\/li><\/ul><div>\u00a0<\/div><p>Your ERP ends up as the place where all this lands. And the natural instinct is:<br \/><strong>\u201cWe need to tidy this up.\u201d<\/strong><\/p><p>So teams start:<\/p><ul><li>Converting everything to \u201cInternational S\/M\/L\u201d<\/li><li>Forcing UK \u2192 EU \u2192 US conversions<\/li><li>Overwriting supplier sizes with internal codes<\/li><li>Merging or rounding sizes (\u201cwe don\u2019t want half sizes showing in filters\u201d)<\/li><\/ul><div>\u00a0<\/div><p>On paper, it looks cleaner. But for AI and for real humans that \u201ccleaning\u201d often destroys the very signal you need.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-57a671de elementor-widget elementor-widget-heading\" data-id=\"57a671de\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The messy truth of multi-brand sizing<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-31bc23fb e-flex e-con-boxed e-con e-parent\" data-id=\"31bc23fb\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6cb217ed e-con-full e-flex e-con e-child\" data-id=\"6cb217ed\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-15d8e736 elementor-widget elementor-widget-heading\" data-id=\"15d8e736\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The hidden cost of \u201cfixing\u201d sizes in ERP<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40ce2edf elementor-widget elementor-widget-text-editor\" data-id=\"40ce2edf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Let\u2019s look at what actually happens when you normalise supplier sizes too aggressively.<\/p>\n<ol>\n<li><strong> You lose information that AI could use<\/strong><\/li>\n<\/ol>\n<p>Example:<\/p>\n<ul>\n<li>Brand A: Size 2, Brand B: S, Brand C: EU 36<\/li>\n<li>ERP: map all three to internal S and forget the original label<\/li>\n<\/ul>\n<p>On the surface, this looks tidy.<br>Under the hood, AI now sees three identical \u201cS\u201d values with zero context.<br>You\u2019ve taken away the nuance that differentiates these sizes in the real world.<\/p>\n<p>You\u2019ve just removed granularity that:<\/p>\n<ul>\n<li>Some customers <em>would<\/em> have bought<\/li>\n<li>AI could have used to detect subtle fit patterns<\/li>\n<li>Could have helped identify which exact size has the best \u201ckeep\u201d rate<\/li>\n<\/ul><div><br><\/div>\n<ol start=\"2\">\n<li><strong> You create artificial consistency that shoppers don\u2019t experience<\/strong><\/li>\n<\/ol>\n<p>Your system says:<\/p>\n<p>\u201cAll these are \u2018M\u2019 now \u2013 job done.\u201d<\/p>\n<p>But your <strong>returns<\/strong> tell another story:<\/p>\n<ul>\n<li>One \u201cM\u201d is too tight for 60% of shoppers<\/li>\n<li>Another \u201cM\u201d fits perfectly<\/li>\n<li>Another is constantly returned as too big<\/li>\n<\/ul>\n<p>Your ERP now <strong>pretends<\/strong> things are harmonised that, in reality, are not.<br>Any analytics, BI, or AI on top of that will be misled.<\/p>\n<ol start=\"3\">\n<li><strong> You make life harder for predictive AI<\/strong><\/li>\n<\/ol>\n<p>Modern sizing AI (like Prime AI) doesn\u2019t need \u201cperfect\u201d size charts.<br>It needs <strong>truthful<\/strong> raw data and real-world outcomes:<\/p>\n<ul>\n<li>What was the original label?<\/li>\n<li>What did people actually buy?<\/li>\n<li>Who kept it, who returned it, and why?<\/li>\n<\/ul>\n<p>If you overwrite or \u201cmassage\u201d size data too early in the pipeline, AI can\u2019t see:<\/p>\n<ul>\n<li>Which brands behave differently<\/li>\n<li>Which sizes in a chart are \u201coff\u201d<\/li>\n<li>Which colourways or batches deviate from the norm<\/li>\n<\/ul>\n<p>You\u2019re effectively blurring the picture before you let AI analyse it.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7f62fe02 e-flex e-con-boxed e-con e-parent\" data-id=\"7f62fe02\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-27f5b637 e-con-full e-flex e-con e-child\" data-id=\"27f5b637\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24e677e elementor-widget elementor-widget-heading\" data-id=\"24e677e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The better approach: keep the mess, add structure on top<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55500835 elementor-widget elementor-widget-text-editor\" data-id=\"55500835\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The answer is <strong>not<\/strong> to give up and accept chaos.<br \/>The answer is to <strong>separate<\/strong>:<\/p>\n<ul>\n<li>What you <strong>store<\/strong> vs. what you <strong>display<\/strong><\/li>\n<\/ul>\n<p>A simple but powerful pattern:<\/p>\n<ol>\n<li><strong>Keep the raw supplier fields intact<\/strong>\n<ul>\n<li>supplier_size_label<\/li>\n<li>supplier_region (EU\/UK\/US\/JP, etc.)<\/li>\n<li>Any extra annotations (short, tall, petite, plus, etc.)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Add your own \u201cdisplay size\u201d layer for UX<\/strong>\n<ul>\n<li>display_size for filters and front-end<\/li>\n<li>But never delete or overwrite the raw size in the database<\/li>\n<\/ul>\n<\/li>\n<li><strong>Add rich product attributes<\/strong>\n<ul>\n<li>Fit type (slim, regular, oversized)<\/li>\n<li>Category, sub-category<\/li>\n<li>Fabric composition<\/li>\n<li>Intended gender, region, season<\/li>\n<\/ul>\n<\/li>\n<li><strong>Let AI do the mapping<\/strong>\n<ul>\n<li>The job of the AI is to learn:<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u201cFor people like this, in this brand, in this product, what size actually works?\u201d<\/p>\n<p>Instead of forcing your ERP to be the \u201ctruth\u201d of sizing, you let it be the <strong>collector of facts<\/strong>.<br \/>AI then becomes the <strong>interpreter<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-591f6594 e-flex e-con-boxed e-con e-parent\" data-id=\"591f6594\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4bfeff38 e-con-full e-flex e-con e-child\" data-id=\"4bfeff38\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5185d372 elementor-widget elementor-widget-heading\" data-id=\"5185d372\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Light bulb moment <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cad2ded elementor-widget elementor-widget-text-editor\" data-id=\"3cad2ded\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Here\u2019s the shift in thinking:<\/p>\n<p>Your job is not to guess how all brands should line up on one size chart.<br \/>Your job is to preserve reality and give AI enough signal to learn from it.<\/p>\n<p>Practical example:<\/p>\n<ul>\n<li>You sell <strong>2,000 brands<\/strong><\/li>\n<li>Many have incomplete or conflicting size charts<\/li>\n<li>Some don\u2019t send charts at all<\/li>\n<\/ul>\n<p>Old thinking:<\/p>\n<p>\u201cWe need a universal chart and to map all brands into it.\u201d<\/p>\n<p>New thinking:<\/p>\n<p>\u201cWe let Prime AI learn from how customers actually buy, keep, and return these products, even if size charts are incomplete or missing.\u201d<\/p>\n<p>Because in the end, the only question that matters is:<\/p>\n<p>\u201cFor <em>this shopper<\/em>, on <em>this product<\/em>, what is the most likely size they will keep?\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f2da1f8 e-con-full e-flex e-con e-child\" data-id=\"f2da1f8\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-42e85e2 elementor-widget elementor-widget-heading\" data-id=\"42e85e2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How Prime AI connects the dots (without you rewriting sizes)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-33f1190 elementor-widget elementor-widget-text-editor\" data-id=\"33f1190\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Prime AI Clothing Size Finder PRO is built specifically for this multi-brand reality.<\/p>\n<p>Here\u2019s how it works when you <strong>don\u2019t<\/strong> tamper with supplier sizes:<\/p>\n<ol>\n<li><strong>Ingest raw data<\/strong>\n<ul>\n<li>We take your product feed as it is: brand, size label, category, fit, colour, etc.<\/li>\n<li>No demand for \u201cperfect\u201d or standardised charts.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Learn from behaviour, not assumptions<\/strong>\n<ul>\n<li>We analyse sales and returns by <strong>product ID<\/strong> and <strong>colour ID<\/strong>.<\/li>\n<li>If Brand X \u2013 Size M \u2013 Navy fits differently from Brand X \u2013 Size M \u2013 Black, we detect it and treat them differently.<\/li>\n<li>We don\u2019t care what the chart claims should fit. We learn what <em>does<\/em> fit.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Operate at SKU and individual shopper level<\/strong>\n<ul>\n<li>For <strong>returning shoppers<\/strong>, Zero-Input Sizing gives a recommendation with no quiz at all, based purely on their past purchases and keep\/return behaviour.<\/li>\n<li>For <strong>new shoppers<\/strong>, the Quiz-Based engine adapts its logic using the learned patterns from your data.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Respect all the nuance you kept<\/strong>\n<ul>\n<li>Because you haven\u2019t flattened everything to \u201cS\/M\/L\u201d, the engine can see:\n<ul>\n<li>Which brands run small or large<\/li>\n<li>Which size within a chart is the \u201cproblem child\u201d<\/li>\n<li>How fit differs by fabric, cut, colourway, season<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<div>\u00a0<\/div>\n<p>This is why Prime AI can move the needle where others can\u2019t:<\/p>\n<ul>\n<li><strong>Influence 50-80% of transactions<\/strong><\/li>\n<li>Deliver on average <strong>35% fewer returns<\/strong> (orders that followed the recommendation vs. no recommendation.)<\/li>\n<li>Improve CVR and AV, especially in multi-brand environments with complex assortments<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-99611df e-con-full e-flex e-con e-child\" data-id=\"99611df\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cbcd667 elementor-widget elementor-widget-heading\" data-id=\"cbcd667\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What you can do next (practical steps)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cdf7613 elementor-widget elementor-widget-text-editor\" data-id=\"cdf7613\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Beyond profit and performance, frictionless sizing changes how shoppers <em>feel<\/em>.<br \/>When they see a recommendation appear automatically, it signals trust, intelligence, and care.<\/p><p>It feels personalised, effortless, and premium, exactly what luxury and lifestyle retailers aim to deliver.<\/p><p>It quietly says:<br \/><strong>\u201cWe know you.\u201d<\/strong><\/p><p>And that emotional connection leads to higher loyalty and repeat purchases.<\/p><p>It also aligns perfectly with the broader trend of retailers encouraging customers to shop via branded apps, where identity, purchase history, and size recommendations seamlessly merge into one unified, predictive experience.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c3f824e e-flex e-con-boxed e-con e-parent\" data-id=\"c3f824e\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1dafb5f e-con-full e-flex e-con e-child\" data-id=\"1dafb5f\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-891c44a elementor-widget elementor-widget-heading\" data-id=\"891c44a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why Prime AI Leads the Predictive Sizing Era<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-335ecd4 elementor-widget elementor-widget-text-editor\" data-id=\"335ecd4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If you\u2019re a multi-brand or marketplace retailer, here\u2019s a concrete action list:<\/p>\n<ol>\n<li><strong>Audit where you rewrite sizes today<\/strong>\n<ul>\n<li>Where do you convert or overwrite supplier sizes in ERP\/PIM?<\/li>\n<li>Where do you throw away nuance \u201cto make it look nicer\u201d?<\/li>\n<\/ul>\n<\/li>\n<li><strong>Introduce separate fields<\/strong>\n<ul>\n<li>Keep supplier_size intact.<\/li>\n<li>Use another field for display_size on the front end.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Start capturing better outcomes data<\/strong>\n<ul>\n<li>Make sure return reasons are structured.<\/li>\n<li>Keep product-level and, ideally, colour-level data.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Stop asking vendors \u201cwhich brands you cover?\u201d<\/strong>\n<ul>\n<li>The right question is:<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>\u201cCan your AI work when size charts are incomplete, inconsistent or missing, and still learn from our data?\u201d<\/p>\n<p><strong style=\"background-color: transparent;\">Talk to someone who lives in this problem every day.\u00a0<\/strong><span style=\"background-color: transparent;\">This is exactly the space Prime AI operates in across multi-brand, multi-region retailers.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e8a2b2a e-con-full e-flex e-con e-child\" data-id=\"e8a2b2a\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-21a3dff elementor-widget elementor-widget-heading\" data-id=\"21a3dff\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Prime AI as your sizing partner, not just a widget<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3130aff elementor-widget elementor-widget-text-editor\" data-id=\"3130aff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Prime AI is not another \u201cnice overlay\u201d on your PDP.<br \/>It\u2019s a predictive sizing engine designed for the <strong>real mess<\/strong> of multi-brand retail.<\/p>\n<ul>\n<li>It thrives on raw, imperfect data.<\/li>\n<li>It connects the dots you shouldn\u2019t be manually forcing.<\/li>\n<li>It turns chaos into a consistent experience for each shopper: \u201cThis is your size.\u201d<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p>If you\u2019re tired of endlessly \u201cfixing\u201d sizes in your ERP and still not seeing meaningful refund reduction, it may be time to change the approach, not just the tool.<br \/>Audit how you currently handle size data, and if you\u2019d like a second opinion, we\u2019re happy to review your setup and show you how Prime AI would approach it.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-18fe1d1d e-flex e-con-boxed e-con e-parent\" data-id=\"18fe1d1d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-62694a37 e-con-full e-flex e-con e-child\" data-id=\"62694a37\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-43d8584d elementor-widget elementor-widget-heading\" data-id=\"43d8584d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">See how Clothing Size Finder Pro has helped  brands slash returns<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae41dd2 elementor-grid-4 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-card-shadow-yes elementor-posts__hover-gradient elementor-widget elementor-widget-posts\" data-id=\"ae41dd2\" data-element_type=\"widget\" data-settings=\"{&quot;cards_columns&quot;:&quot;4&quot;,&quot;pagination_type&quot;:&quot;numbers&quot;,&quot;cards_columns_tablet&quot;:&quot;2&quot;,&quot;cards_columns_mobile&quot;:&quot;1&quot;,&quot;cards_row_gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:35,&quot;sizes&quot;:[]},&quot;cards_row_gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"posts.cards\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-posts-container elementor-posts elementor-posts--skin-cards elementor-grid\" role=\"list\">\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-18018 post type-post status-publish format-standard has-post-thumbnail hentry category-case-study category-clothing-size-and-fit-finder category-market-trends category-shoe-size-finder tag-ai-fit-finder tag-ai-for-fashion tag-ai-sizing-technology tag-csf tag-e-commerce-conversion tag-e-commerce-profitability tag-fashion-e-commerce tag-fashion-sustainability tag-multi-brand-fashion-return-reduction tag-online-shopping-returns tag-prime-ai tag-reduce-fashion-returns tag-reducing-refunds tag-return-rate-optimisation tag-size-recommendation-tool\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/www.prime-ai.com\/en\/media\/multi-brand-fashion-return-reduction\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-1024x1024.webp\" class=\"attachment-large size-large wp-image-18204\" alt=\"multi-brand fashion return reduction case study showing how Prime AI\u2019s size recommendation tool helped reduce return rates and improve sizing confidence in online fashion retail.\" srcset=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-1024x1024.webp 1024w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-300x300.webp 300w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-150x150.webp 150w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-768x768.webp 768w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study-12x12.webp 12w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/multibrand-retailer-return-reduction-case-study.webp 1200w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/www.prime-ai.com\/en\/media\/multi-brand-fashion-return-reduction\/\" >\n\t\t\t\tMulti-brand Fashion Return Reduction \u2013 How Prime AI Reduced Returns Across 14 Brands\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-18149 post type-post status-publish format-standard has-post-thumbnail hentry category-case-study category-clothing-size-and-fit-finder category-market-trends tag-ai-fit-finder tag-ai-for-fashion tag-ai-sizing-technology tag-csf tag-e-commerce-conversion tag-e-commerce-profitability tag-fashion-e-commerce tag-fashion-sustainability tag-online-shopping-returns tag-prime-ai tag-reduce-fashion-returns tag-reducing-refunds tag-return-rate-optimisation tag-size-recommendation-tool tag-speedo-return-reduction\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/www.prime-ai.com\/en\/media\/speedo-return-reduction\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-1024x1024.webp\" class=\"attachment-large size-large wp-image-18156\" alt=\"speedo return reduction case study showing how Prime AI\u2019s size recommendation tool helped reduce return rates and improve sizing confidence in online fashion retail.\" srcset=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-1024x1024.webp 1024w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-300x300.webp 300w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-150x150.webp 150w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-768x768.webp 768w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study-12x12.webp 12w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/speedo-return-reduction-case-study.webp 1200w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/www.prime-ai.com\/en\/media\/speedo-return-reduction\/\" >\n\t\t\t\tSpeedo Return Reduction: How Prime AI Slashes Returns\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-18140 post type-post status-publish format-standard has-post-thumbnail hentry category-case-study category-clothing-size-and-fit-finder category-market-trends category-shoe-size-finder tag-ai-fit-finder tag-ai-for-fashion tag-ai-sizing-technology tag-csf tag-e-commerce-conversion tag-e-commerce-profitability tag-fashion-e-commerce tag-fashion-sustainability tag-new-balance-return-reduction tag-online-shopping-returns tag-prime-ai tag-reduce-fashion-returns tag-reducing-refunds tag-return-rate-optimisation tag-size-recommendation-tool\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/www.prime-ai.com\/en\/media\/new-balance-return-reduction\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-1024x1024.webp\" class=\"attachment-large size-large wp-image-18145\" alt=\"new balance return reduction case study showing how Prime AI\u2019s size recommendation tool helped reduce return rates and improve sizing confidence in online fashion retail.\" srcset=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-1024x1024.webp 1024w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-300x300.webp 300w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-150x150.webp 150w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-768x768.webp 768w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study-12x12.webp 12w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/new-balance-return-reduction-case-study.webp 1200w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/www.prime-ai.com\/en\/media\/new-balance-return-reduction\/\" >\n\t\t\t\tNew Balance Return Reduction: How Prime AI Slashes Returns\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-18128 post type-post status-publish format-standard has-post-thumbnail hentry category-case-study category-clothing-size-and-fit-finder category-market-trends category-shoe-size-finder tag-ai-fit-finder tag-ai-for-fashion tag-ai-sizing-technology tag-csf tag-e-commerce-conversion tag-e-commerce-profitability tag-fashion-e-commerce tag-fashion-sustainability tag-online-shopping-returns tag-prime-ai tag-puma-return-reduction tag-reduce-fashion-returns tag-reducing-refunds tag-return-rate-optimisation tag-size-recommendation-tool\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/www.prime-ai.com\/en\/media\/puma-return-reduction\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"800\" src=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-1024x1024.webp\" class=\"attachment-large size-large wp-image-18133\" alt=\"puma return reduction case study showing how Prime AI\u2019s size recommendation tool helped reduce return rates and improve sizing confidence in online fashion retail.\" srcset=\"https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-1024x1024.webp 1024w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-300x300.webp 300w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-150x150.webp 150w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-768x768.webp 768w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study-12x12.webp 12w, https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/puma-return-reduction-case-study.webp 1200w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/www.prime-ai.com\/en\/media\/puma-return-reduction\/\" >\n\t\t\t\tPuma Return Reduction: How Prime AI Slashes Returns\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t<div class=\"e-load-more-anchor\" data-page=\"1\" data-max-page=\"11\" data-next-page=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/2\/\"><\/div>\n\t\t\t\t<nav class=\"elementor-pagination\" aria-label=\"Pagination\">\n\t\t\t<span aria-current=\"page\" class=\"page-numbers current\"><span class=\"elementor-screen-only\">Page<\/span>1<\/span>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/2\/\"><span class=\"elementor-screen-only\">Page<\/span>2<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/3\/\"><span class=\"elementor-screen-only\">Page<\/span>3<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/4\/\"><span class=\"elementor-screen-only\">Page<\/span>4<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/5\/\"><span class=\"elementor-screen-only\">Page<\/span>5<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/6\/\"><span class=\"elementor-screen-only\">Page<\/span>6<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/7\/\"><span class=\"elementor-screen-only\">Page<\/span>7<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/8\/\"><span class=\"elementor-screen-only\">Page<\/span>8<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/9\/\"><span class=\"elementor-screen-only\">Page<\/span>9<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/10\/\"><span class=\"elementor-screen-only\">Page<\/span>10<\/a>\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2ad8f22 e-flex e-con-boxed e-con e-parent\" data-id=\"2ad8f22\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b921aad e-con-full e-flex e-con e-child\" data-id=\"b921aad\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2808725 elementor-cta--layout-image-left elementor-cta--skin-classic elementor-animated-content elementor-widget elementor-widget-call-to-action\" data-id=\"2808725\" data-element_type=\"widget\" data-widget_type=\"call-to-action.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<a class=\"elementor-cta\" href=\"https:\/\/www.prime-ai.com\/en\/clothing-size-and-fit-finder\/\">\n\t\t\t\t\t<div class=\"elementor-cta__bg-wrapper\">\n\t\t\t\t<div class=\"elementor-cta__bg elementor-bg\" style=\"background-image: url(https:\/\/www.prime-ai.com\/wp-content\/uploads\/2025\/05\/Image-CSF-Product-Card.webp);\" role=\"img\" aria-label=\"Image-CSF - Product Card\"><\/div>\n\t\t\t\t<div class=\"elementor-cta__bg-overlay\"><\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-cta__content\">\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-cta__title elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\tClothing Size Finder Pro\t\t\t\t\t<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-cta__description elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\tPersonalise the shopping experience, reduce returns and boost conversions\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-cta__button-wrapper elementor-cta__content-item elementor-content-item \">\n\t\t\t\t\t<span class=\"elementor-cta__button elementor-button elementor-size-\">\n\t\t\t\t\t\tExplore 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class=\"elementor-screen-only\">Page<\/span>9<\/a>\n<a class=\"page-numbers\" href=\"https:\/\/www.prime-ai.com\/en\/wp-json\/wp\/v2\/posts\/20385\/page\/10\/\"><span class=\"elementor-screen-only\">Page<\/span>10<\/a>\t\t<\/nav>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Stop \u201cFixing\u201d Sizes in Your ERP. 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