{"id":508853,"date":"2025-10-06T09:28:52","date_gmt":"2025-10-06T09:28:52","guid":{"rendered":"https:\/\/webkul.com\/blog\/?post_type=case_studies&#038;p=508853"},"modified":"2026-09-29T13:56:30","modified_gmt":"2026-09-29T13:56:30","slug":"chicwish-us-fashion-brand-m2-chatgpt-webkul","status":"publish","type":"case_studies","link":"https:\/\/webkul.com\/blog\/case-studies\/chicwish-us-fashion-brand-m2-chatgpt-webkul\/","title":{"rendered":"CHICWISH Adds Custom AI Product Recommendations to Magento 2 with Webkul"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Project Snapshot<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>URL:<\/strong> <a href=\"https:\/\/www.chicwish.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Chicwish.com<\/a><\/li>\n\n\n\n<li><strong>Country:<\/strong> United States<\/li>\n\n\n\n<li><strong>Industry Vertical:<\/strong> Fashion<\/li>\n\n\n\n<li><strong>Platform:<\/strong> <a href=\"https:\/\/webkul.com\/magento-development\/\" target=\"_blank\" rel=\"noreferrer noopener\">Magento 2<\/a><\/li>\n\n\n\n<li><strong>Solution Provided:<\/strong> Custom <a href=\"https:\/\/store.webkul.com\/magento2-ai-product-recommendation.html\" target=\"_blank\" rel=\"noreferrer noopener\">AI product recommendations<\/a> and AI content generation for a Magento 2 fashion store.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Merchant Story: CHICWISH<\/h2>\n\n\n\n<p>CHICWISH is a US-based online fashion brand that sells dresses, tops, bottoms, outerwear, swimwear and accessories to shoppers worldwide.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1200\" height=\"716\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage-1200x716.webp\" alt=\"CHICWISH homepage with the main menu and a sale banner\" class=\"wp-image-508877\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage-1200x716.webp 1200w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage-300x179.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage-250x149.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage-768x458.webp 768w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-homepage.webp 1440w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>Its store also carries plus sizes, lingerie, kids&#8217; wear and jewelry, and it draws more than 450,000 online visits a month.<\/p>\n\n\n\n<p>New styles arrive often, so shoppers browse many products before they settle on a look.<\/p>\n\n\n\n<p>CHICWISH runs its store on Magento 2 and has worked with Webkul on two AI projects for it.<\/p>\n\n\n\n<p>First came AI content for products and pages, and later came custom AI product recommendations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why CHICWISH Needed Custom AI Product Recommendations<\/h2>\n\n\n\n<p>CHICWISH wanted product suggestions that reflect how its shoppers browse and buy.<\/p>\n\n\n\n<p>A standard setup shows about 10 suggested items, which is a short list for a store with this much choice.<\/p>\n\n\n\n<p>The brand also wanted suggestions beyond the product page, including at checkout and at the payment step.<\/p>\n\n\n\n<p>Its team wanted to decide which signals drive each list, such as past orders, items bought together and recently viewed products.<\/p>\n\n\n\n<p>Above all, CHICWISH wanted control, so staff could switch each strategy on or off without a developer.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Webkul Customized AI Product Recommendations for CHICWISH<\/h2>\n\n\n\n<p>Webkul built the project on its Magento 2 AI Product Recommendation Extension and then tailored it to CHICWISH&#8217;s needs.<\/p>\n\n\n\n<p>As described in the <a href=\"https:\/\/webkul.com\/blog\/guide-for-magento-2-ai-product-recommendation-webkul\/\" target=\"_blank\" rel=\"noreferrer noopener\">extension&#8217;s user guide<\/a>, it matches products using embeddings, a way for AI to measure how alike two items are.<\/p>\n\n\n\n<p>On top of that base, Webkul&#8217;s <a href=\"https:\/\/webkul.com\/magento-2-custom-extension-development-services\/\" target=\"_blank\" rel=\"noreferrer noopener\">custom extension development<\/a> team added four changes for the fashion store.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Showing 20 to 30 Recommended Products<\/h3>\n\n\n\n<p>Webkul raised the number of suggested products from 10 to a range of 20 to 30.<\/p>\n\n\n\n<p>A longer list gives shoppers more styles to explore before they leave a product page.<\/p>\n\n\n\n<p>Staff can set the exact count, so the block stays balanced with the rest of the page layout.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Choosing Where Recommendations Appear<\/h3>\n\n\n\n<p>Webkul added placement settings so the admin can choose where each block appears.<\/p>\n\n\n\n<p>Suggestions can show on the product page, the checkout page and the payment page.<\/p>\n\n\n\n<p>This gives CHICWISH a chance to suggest items at the moment a shopper is about to buy.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Which Signals Drive the AI Product Recommendations?<\/h3>\n\n\n\n<p>Webkul made the AI logic customizable, so each list can draw on different buying signals.<\/p>\n\n\n\n<p>Order data lets the logic learn from what CHICWISH customers have bought in the past.<\/p>\n\n\n\n<p>A Frequently Bought Together strategy pairs items that often share a cart, like a dress and a matching jacket.<\/p>\n\n\n\n<p>Recently viewed products can also feed the list, so shoppers find styles they looked at earlier.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Admin Control Over Each Recommendation Strategy<\/h3>\n\n\n\n<p>Webkul made the whole recommendation logic configurable from the Magento admin.<\/p>\n\n\n\n<p>Staff can turn strategies such as Customers Also Viewed and Frequently Bought Together on or off.<\/p>\n\n\n\n<p>With this setup, the CHICWISH team can adjust its suggestions as the catalog and campaigns change, without changing any code.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI Content Generation with the Magento 2 ChatGPT AI Extension<\/h2>\n\n\n\n<p>Before the recommendations work, Webkul set up the <a href=\"https:\/\/store.webkul.com\/magento2-chatgpt-ai-extension.html\" target=\"_blank\" rel=\"noreferrer noopener\">Magento 2 ChatGPT AI Extension<\/a> on the CHICWISH store.<\/p>\n\n\n\n<p>Writing product, category and CMS page content by hand had been slow, and keeping it consistent was hard.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1120\" height=\"880\" src=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-solution.webp\" alt=\"Magento 2 AI Content Generator settings with the Gemini Pro model and SEO attributes\" class=\"wp-image-508921\" srcset=\"https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-solution.webp 1120w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-solution-300x236.webp 300w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-solution-250x196.webp 250w, https:\/\/cdnblog.webkul.com\/blog\/wp-content\/uploads\/2025\/10\/chicwish-case-study-solution-768x603.webp 768w\" sizes=\"(max-width: 1120px) 100vw, 1120px\" loading=\"lazy\" \/><\/figure>\n\n\n\n<p>With the extension, the team uses ChatGPT, Gemini and Ollama to create multilingual, attribute-based content in bulk.<\/p>\n\n\n\n<p>Staff now generate product descriptions, SEO meta details and category text from reusable AI prompt templates.<\/p>\n\n\n\n<p>As a result, content stays consistent across the catalog and new products reach the store faster.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Results of AI Product Recommendations at CHICWISH<\/h2>\n\n\n\n<p>Webkul gave CHICWISH AI product recommendations that its own team can shape, place and tune from the Magento admin.<\/p>\n\n\n\n<p>Shoppers can be shown up to 30 related styles, drawn from real order data, shared carts and recent browsing.<\/p>\n\n\n\n<p>Placement options let the brand suggest items on product pages and at checkout, where buying intent is highest.<\/p>\n\n\n\n<p>Together with AI-written content, the work gives CHICWISH one <a href=\"https:\/\/webkul.com\/artificial-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI<\/a> toolkit for both describing and suggesting products.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recommendation lists raised from 10 to 20\u201330 products<\/li>\n\n\n\n<li>Suggestions placed on product, checkout and payment pages<\/li>\n\n\n\n<li>AI logic driven by orders, shared carts and recent views<\/li>\n\n\n\n<li>Each strategy switched on or off from the admin<\/li>\n\n\n\n<li>Bulk AI content for products, categories and CMS pages<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Project Snapshot Merchant Story: CHICWISH CHICWISH is a US-based online fashion brand that sells dresses, tops, bottoms, outerwear, swimwear and accessories to shoppers worldwide. Its store also carries plus sizes, lingerie, kids&#8217; wear and jewelry, and it draws more than 450,000 online visits a month. New styles arrive often, so shoppers browse many products before <a href=\"https:\/\/webkul.com\/blog\/case-studies\/chicwish-us-fashion-brand-m2-chatgpt-webkul\/\">[&#8230;]<\/a><\/p>\n","protected":false},"author":490,"featured_media":508965,"comment_status":"open","ping_status":"closed","template":"","class_list":["post-508853","case_studies","type-case_studies","status-publish","has-post-thumbnail","hentry","platforms-magento","industries-fashion"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CHICWISH Case Study: AI-Powered Content for US Fashion Brand<\/title>\n<meta name=\"description\" content=\"CHICWISH, a USA-based fashion brand, uses AI to create content for products, categories, and pages, making its online store easier to use.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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