{"id":143049,"date":"2026-08-18T00:50:29","date_gmt":"2026-08-18T00:50:29","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/143049\/"},"modified":"2026-08-18T00:50:29","modified_gmt":"2026-08-18T00:50:29","slug":"anthropic-decart-deal-what-it-could-mean-for-retail-cx","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/143049\/","title":{"rendered":"Anthropic Decart Deal: What It Could Mean for Retail CX"},"content":{"rendered":"<p>Anthropic is reportedly in talks to acquire Decart, an Israeli AI startup, for around $6bn.<\/p>\n<p>If the deal goes ahead, it would be one of Anthropic\u2019s biggest moves to date.<\/p>\n<p>It could also raise an intriguing question for retailers: what happens when a company best known for conversational AI gets access to real-time generative video technology?<\/p>\n<p><a href=\"https:\/\/www.bloomberg.com\/news\/articles\/2026-08-13\/anthropic-said-in-talks-to-buy-ai-startup-decart-for-6-billion\" rel=\"nofollow noopener\" target=\"_blank\">Bloomberg reported<\/a> that Anthropic is interested in Decart partly because the startup can help make AI training and inference more efficient.<\/p>\n<p>However, Decart is not only an infrastructure company.<\/p>\n<p>Its <a href=\"https:\/\/docs.platform.decart.ai\/models\/realtime\/virtual-try-on\" rel=\"nofollow noopener\" target=\"_blank\">Lucy model<\/a> can transform live video in real time, with use cases ranging from virtual try-on and product placement to gaming and advertising.<\/p>\n<p>On its website, Decart says: \u201cWe build the infrastructure and models that make AI run at the speed of reality.\u201d<\/p>\n<p>The company\u2019s claim hints at a customer experience opportunity that extends well beyond the chatbot.<\/p>\n<p>To be clear, there has been no suggestion that Anthropic is buying Decart to launch retail CX tools, virtual try-on, or video customer service. The acquisition has not been confirmed, and the talks could still fall through.<\/p>\n<p>Still, Decart\u2019s technology makes it reasonable to consider what a Claude-powered, real-time visual shopping experience could eventually look like.<\/p>\n<p>Retail CX Is Looking Beyond Chat<\/p>\n<p>Many retailers have spent the past two years experimenting with generative AI assistants.<\/p>\n<p>Most of those deployments have focused on familiar use cases: product search, order tracking, returns, FAQs, and recommendations.<\/p>\n<p>They can make service quicker and help customers find the right information. But chat has limits, particularly when a purchase decision is visual.<\/p>\n<p>A customer shopping for a jacket does not simply want to know whether it is available in medium. They may want to see how it looks on them, compare colors, ask whether it suits a particular occasion, and check whether it can arrive before the weekend.<\/p>\n<p>That is where real-time video could change the experience.<\/p>\n<p>Decart\u2019s virtual try-on tools allow shoppers to use a live camera feed to see clothing and accessories on their body, without relying solely on a static uploaded photo. The company says its technology can preserve a subject\u2019s motion and body shape while changing garments during a live session.<\/p>\n<p>In theory, adding a conversational layer could make that experience even more sophisticated.<\/p>\n<p>A customer could tell an AI assistant they need an outfit for a wedding, specify a budget, and explain what styles they usually wear. The assistant could surface available products, answer questions about fabrics and delivery, and then guide the shopper through a live visual try-on.<\/p>\n<p>That would be a meaningful step beyond a chatbot that simply shares product links.<\/p>\n<p>From Virtual Try-On to Visual Assistance<\/p>\n<p>The potential extends beyond fashion.<\/p>\n<p>Beauty brands could let customers test makeup shades. Eyewear retailers could offer live frame comparisons. Furniture businesses could show customers how a product may look in their home. Consumer electronics brands could use visual AI to guide setup, diagnose problems, or show customers exactly which cable or component they need.<\/p>\n<p>In each case, the value lies in reducing uncertainty.<\/p>\n<p>Retailers have long chased ways to replicate the confidence of an in-store interaction online. Product reviews, size guides, recommendation engines, and virtual consultations have all attempted to close that gap.<\/p>\n<p>Real-time generative video could offer a more immediate version of the customerexperience. Rather than asking customers to imagine a product in context, it could let them see it.<\/p>\n<p>That could help increase conversion and reduce returns, particularly for categories where fit, appearance, or compatibility are major barriers to purchase.<\/p>\n<p>Yet there are obvious reasons to be cautious.<\/p>\n<p>The Trust Test<\/p>\n<p>A virtual try-on is only valuable if customers trust what they see.<\/p>\n<p>If the technology makes a garment look more flattering than it is, fails to show how fabric behaves, or gives a misleading impression of color and fit, retailers could face a new source of disappointment and returns.<\/p>\n<p>The experience cannot become another polished marketing layer that creates unrealistic expectations.<\/p>\n<p>Privacy also matters. Live-camera retail experiences raise questions around consent, image retention, biometric information, and how customer footage may be used.<\/p>\n<p>Retailers would need clear policies, simple controls, and alternative shopping routes for customers who do not want to use a camera.<\/p>\n<p>Accessibility must also be part of the conversation. A visual experience can enhance customer choice, but it should not become the only way to receive personalized support.<\/p>\n<p>For now, Anthropic\u2019s reported Decart talks appear to be about AI infrastructure, not a retail product roadmap. But Decart\u2019s Lucy technology shows where the next phase of digital commerce could be heading.<\/p>\n<p>The future retail assistant may not just answer questions. It could listen, recommend, demonstrate, and show customers the answer in real time.<\/p>\n","protected":false},"excerpt":{"rendered":"Anthropic is reportedly in talks to acquire Decart, an Israeli AI startup, for around $6bn. If the deal&hellip;\n","protected":false},"author":2,"featured_media":143050,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[53,25,2567,645,7633,7634],"class_list":["post-143049","post","type-post","status-publish","format-standard","has-post-thumbnail","category-anthropic","tag-anthropic","tag-artificial-intelligence","tag-customer-engagement-center","tag-customer-engagement-platform","tag-customer-journey-analytics-software","tag-journey-orchestration"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/143049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=143049"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/143049\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/143050"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=143049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=143049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=143049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}