{"id":37104,"date":"2026-06-05T08:00:22","date_gmt":"2026-06-05T00:00:22","guid":{"rendered":"https:\/\/www.techbeatph.com\/wproot\/?p=37104"},"modified":"2026-06-05T04:42:04","modified_gmt":"2026-06-04T20:42:04","slug":"google-try-on-virtual-shopping-ai","status":"publish","type":"post","link":"https:\/\/www.techbeatph.com\/wproot\/google-try-on-virtual-shopping-ai\/","title":{"rendered":"Google expands &#8216;Try On&#8217; feature to help shoppers preview outfits virtually before buying"},"content":{"rendered":"<p data-start=\"231\" data-end=\"575\"><a href=\"https:\/\/www.google.com\/shopping\/tryon?udm=28&amp;gl=us&amp;hl=en&amp;cs=0&amp;sa=X&amp;ved=0ahUKEwi3goTFm9eNAxVYYfUHHVORMHkQgP8PCBE&amp;ref=blog.secondbrush.co.kr\">Google<\/a> is making online fashion shopping more interactive with the expansion of its Try On feature, a virtual fitting tool that lets users see how clothing items may look on their own body before making a purchase. The feature is set to roll out in the Philippines in the coming weeks, further integrating AI into the e-commerce experience.<\/p>\n<p data-start=\"577\" data-end=\"825\">The move reflects a broader shift in online retail, where platforms are increasingly using generative AI to reduce uncertainty in purchases and improve buyer confidence, particularly in fashion categories where fit and appearance play a major role.<\/p>\n<h4 data-section-id=\"184o4pi\" data-start=\"827\" data-end=\"879\">AI-powered virtual fitting enters Google Shopping<\/h4>\n<p>Google Try On allows users to upload a full-body photo and preview apparel items directly within Google Search, Google Shopping, and Google Images product listings.<\/p>\n<p>The system uses a fashion-focused image generation model designed to simulate how fabrics interact with different body types, including how materials fold and drape, stretch across movement, and adapt to body shapes and poses.<\/p>\n<p>Unlike static product photos or model-based previews, the tool generates a personalized visualization of how an item may appear on the user.<\/p>\n<p><a href=\"https:\/\/www.techbeatph.com\/wproot\/google-cloud-sea-ai-startup-accelerator\/\">Google<\/a> says the feature can be used across billions of apparel listings in its Shopping Graph, covering categories such as tops, dresses, bottoms, and footwear.<\/p>\n<h4 data-section-id=\"lgadh0\" data-start=\"1587\" data-end=\"1618\">How the Try On feature works<\/h4>\n<p>Users can access the feature directly from eligible product listings by tapping the \u201cTry it on\u201d option in Google Shopping.<\/p>\n<p>The process works by uploading a full-length photo, after which <a href=\"https:\/\/www.techbeatph.com\/wproot\/google-gemini-3-5-flash-ai-agent-coding-update\/\">Google\u2019s AI<\/a> generates a virtual preview of the outfit. Users can then test multiple styles, colors, and variations, while saved looks can be reviewed or shared.<\/p>\n<p>Purchase links ultimately redirect to merchant websites.<\/p>\n<p>Google also allows users to compare multiple outfit combinations, helping shoppers make more informed decisions before checking out.<\/p>\n<h4 data-section-id=\"8pef3n\" data-start=\"2115\" data-end=\"2159\">Expanding AI\u2019s role in fashion e-commerce<\/h4>\n<p>The rollout of Google Try On highlights how AI is reshaping online retail experiences, particularly in fashion where return rates remain high due to sizing and fit issues.<\/p>\n<p>By introducing virtual try-ons, platforms like Google Shopping aim to reduce purchase uncertainty, improve customer confidence, lower return rates for online apparel, and increase engagement within shopping platforms.<\/p>\n<p>This aligns with broader industry trends where retailers, including Google, are adopting AI tools for personalization, from recommendation engines to virtual fitting rooms.<\/p>\n<h4 data-section-id=\"1mvd2db\" data-start=\"2694\" data-end=\"2750\">Bridging the gap between online and in-store shopping<\/h4>\n<p data-start=\"2752\" data-end=\"3004\">Google positions Try On as a way to replicate the confidence of in-store fitting rooms in a digital environment. In physical retail, shoppers can immediately assess fit and style, something that online shopping has traditionally struggled to replicate.<\/p>\n<p data-start=\"3006\" data-end=\"3130\">With AI-powered visualization, users can now preview outfits in a more personalized context before committing to a purchase.<\/p>\n<p data-start=\"3132\" data-end=\"3319\">The feature also strengthens Google\u2019s position in AI-driven commerce, integrating shopping, search, and generative AI into a unified experience that blends discovery with decision-making.<\/p>\n<p data-start=\"3321\" data-end=\"3484\" data-is-last-node=\"\" data-is-only-node=\"\">As the rollout reaches more markets, including the Philippines, the feature signals a broader shift toward immersive and interactive online shopping powered by AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google is making online fashion shopping more interactive with the expansion of its Try On feature, a virtual fitting tool that lets users see how clothing items may look on their own body before making a purchase. The feature is set to roll out in the Philippines in the coming weeks, further integrating AI into&#8230;<\/p>\n","protected":false},"author":119,"featured_media":37105,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1760],"tags":[27727,27724,777,15647,1729,207,2280,27723,342,23126,27726,27725],"class_list":["post-37104","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-ai-shopping","tag-ai-try-on","tag-e-commerce","tag-fashion-tech","tag-generative-ai","tag-google","tag-google-ai","tag-google-shopping","tag-online-shopping","tag-philippines-tech","tag-retail-innovation","tag-virtual-fitting-room"],"_links":{"self":[{"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/posts\/37104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/users\/119"}],"replies":[{"embeddable":true,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/comments?post=37104"}],"version-history":[{"count":1,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/posts\/37104\/revisions"}],"predecessor-version":[{"id":37106,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/posts\/37104\/revisions\/37106"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/media\/37105"}],"wp:attachment":[{"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/media?parent=37104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/categories?post=37104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.techbeatph.com\/wproot\/wp-json\/wp\/v2\/tags?post=37104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}