Luxury resale is going live—and somebody needs to explain where the trust went. Quick catch-up before we dig in: Fashion’s AI-commerce race is moving beyond visuals and into actual transactions. PointAI pitched physics-based digital twins for virtual try-on and product visualization, while Meta’s Muse brought shopping help into WhatsApp, Instagram and Facebook. That pushes the category from discovery toward agentic checkout and purchase approval—and it’s the backdrop for fashion apps trying to own the search moment before a shopper reaches a retailer. This is Fashion Business Daily. Today, we’re asking who gets paid when shopping becomes a livestream, a drop, or a photo sitting in your camera roll. First up, TikTok Shop. We're staying with this story: Virtual try-on AI commerce race. Follow the show and you won't miss what comes next. From Julia Waldow at Modern Retail:
Year-to-date, 94% of revenue on TikTok Shop from luxury resale in the U.S. is coming from lives, the platform revealed last week at its inaugural Luxury Resale Summit in New York City. More broadly, luxury resale on TikTok Shop has enjoyed a 400% year-over-year spike in gross merchandise value, largely from products like handbags and watches.
Ninety-four percent of TikTok Shop’s U.S. luxury-resale revenue is coming through livestreams. That’s a wild concentration—apparently, people want to see the corner wear on a Birkin live, not squint at six studio photos. TikTok Shop reported that figure at its own Luxury Resale Summit, so keep the label on it: platform-reported, not an independent category benchmark. The 400% year-over-year GMV growth is impressive, but we need outside validation before brands rewrite their resale strategy around it. They’ve got invited sellers and five authentication partners, including Entrupy, CheckCheck and Legit App. But live video is a trust layer, not a magic shield. A counterfeit seller with a clean ring light can look awfully convincing at speed. Attribution may finally get less murky here: if 94% of purchases happen inside the live, TikTok can see the funnel. The trade-off is obvious—sellers are getting deeply dependent on one platform’s hosts, algorithms and authentication rules. Modern Retail writes:
Carter’s, a giant in the children’s apparel space, is unveiling its first major brand refresh since 2000, repositioning its marketing and messaging with Gen Z and millennial parents in mind. The brand refresh involves a new brand commitment: “to let every child’s light shine,” as well as a new logo and visual identity. Carter’s is also investing in some new marketing tactics as part of the rebrand, like a dedicated creator program, and a new partnership with Outward Bound.
Carter’s has a real operating number behind this refresh: Q2 net sales rose 5% to $615 million, its third straight growth quarter. The new logo and “let every child’s light shine” language won’t mean much unless they keep customers spending while 150 stores leave the fleet. A 161-year-old kidswear company trying to speak Gen Z is a treacherous assignment. Parents don’t need another brand promise. They need clothes their kid actually wants to wear, that survive the playground and don’t look wrecked after two washes. Sharon Price John says Gen Z consumers grew mid-teens in the second fiscal quarter. Good. Now separate creator-program impressions from repeat purchases, full-price sell-through, and whether those younger parents stick around after the campaign ends. Don’t make creators a decorative layer over the same rack of basics. If Carter’s is leaning into kids choosing their own clothes, show that in the product—more personality, better collaborations, less corporate pastel sermon. From Lectra:
Designed in the age of agentic artificial intelligence, Apogy transforms product development by bringing data, processes and all stakeholders together in a single digital environment. By automating low-value tasks and making information and expertise easier to access, it significantly accelerates product development while enabling teams to focus on innovation, creativity and strategic decision-making.
Lectra says Apogy puts product data, industry-specific agents and every stakeholder into one cloud workflow between design and production. Okay, but “significantly accelerates” needs a baseline: fewer sample rounds, fewer days to approval, or a measurable reduction in rework. Agentic AI has entered the sample room. If it clears the spreadsheet traffic so pattern makers and developers can actually solve fit, great. If it starts treating the atelier like a bottleneck to automate, absolutely not. Lectra has real CAD pedigree—Modaris and Gerber AccuMark are embedded in this industry. But Apogy only earns its place when a brand can show it gets a better garment to market with less waste, not just a cleaner dashboard. And after that TikTok livestream story, the pressure is obvious: demand can move in real time. Development teams need faster information, sure—but speed won’t rescue a weak product once shoppers see it up close. Here's Glossy:
Stanley’s latest fashion collaboration with Brazilian fashion brand Farm Rio nearly achieved its four-week sell-through target in seven days. But for the 113-year-old drinkware company, the more consequential test will take six months. Stanley 1913, part of PMI WW Brands, LLC, is increasingly tracking what collaboration products customers purchase after the initial drop. The strategy is part of its effort to convert the limited-edition demand that fueled the Quencher phenomenon into a broader lifestyle business.
Farm Rio got Stanley to nearly hit a four-week sell-through target in seven days. Tropical Woods was almost gone globally in under a week—okay, that drop had legs. These are company-reported figures, and strong ones: nearly 50% global sell-through in week one, with six of Stanley’s 10 top sellers coming from the collection. Minimal paid media makes the product response more convincing. But a $55-to-$155 tropical-print rush is the easy part. Show me that Farm Rio buyer returning for a lunch bag, a cooler, or a plain bottle when there’s no launch-day countdown. Exactly. The Quencher has moved from more than 80% of Stanley’s global mix to roughly 40% to 50%, per the company. Their six-month repurchase test will show whether Stanley has genuinely diversified—or is still cycling through limited-edition spikes. TechCrunch, with Lauren Forristal:
The first feature uses Apple’s image-context capabilities, letting users shop from images already saved in their Photos app.
Your camera roll is basically a graveyard of outfits people meant to buy. Daydream can turn that screenshot into a search across roughly 3 million products—cool, but I want to see whether its 1.5 million shoppers actually check out or just keep collecting references. From PointAI to Meta, the AI-commerce race now adds Daydream’s camera-roll and Siri shopping layer. The feature is free; the acquisition economics aren’t. For a DTC partner, the useful number is conversion from saved image to completed order, not catalog size. And Siri means the app can catch the impulse before somebody opens Instagram, sees the fit again and forgets why they saved it. But if Daydream serves a near-match when the original is sold out, the substitute has to be good. A bad dupe result kills trust fast. Built on Apple’s iOS 27 tools on launch day, this is an early operating-system-level test, not just another fashion search bar. Daydream and its 325 retail partners should publish conversion and repeat-purchase data before anyone declares screenshot shopping a new channel. Have feedback, a story idea, or a correction? Email us at fashionbusinessdaily at lantern podcasts dot com. We’d love to hear what you think and what we should cover next.
About six months after the August 18 Farm Rio drop, Stanley’s repeat-purchase read will show whether collaboration buyers moved beyond Quenchers.
Links to every story are in the show notes if you want to dig deeper. That’s Fashion Business Daily for today. We’ll be back tomorrow. This is a Lantern Podcast.