
What Happens to a Garment's Data After You Return It
When you return a dress that didn't fit, the garment goes back to a warehouse — but its data travels somewhere else entirely. Here's where it goes, and what it quietly changes.
Read moreThe Explainers section of All Things Fashion.

When you return a dress that didn't fit, the garment goes back to a warehouse — but its data travels somewhere else entirely. Here's where it goes, and what it quietly changes.
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From model diversity to colour accuracy, AI-generated product photography is already changing what you see when you shop online. Here's what's actually happening—and what it means for you.
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Behind every garment you own, invisible software is making decisions about its quality, timing and environmental footprint. Here is what product lifecycle management actually does — and why it matters to you.
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Every click, hover, and abandoned cart on Zalando feeds a system that shapes which clothes get ordered and in what quantities. Here is how that invisible loop actually works.
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Your search results feel different lately, and that is not your imagination. AI assistants are quietly rewriting the rules of how you find clothes online.
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Three virtual try-on tools — Aiuta, Veesual and Zyler — each take a different approach to helping you see clothes on a body before you buy. Here is how they compare on accuracy, inclusivity and privacy.
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Three accessible AI tools, three different strengths. Here is what Midjourney, Adobe Firefly and Vizcom each do well for fashion designers and the creatively curious.
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Every time you return a garment, you send a signal. Here's how brands read those signals to quietly redesign what ends up on the rail next season.
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When fashion week moves from a physical tent to a screen, more changes than just the venue. Here are seven concrete differences worth understanding.
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From parametric open-source CAD to 3D garment simulation, these five accessible tools help independent designers draft patterns without enterprise budgets—each with honest notes on where they shine and where they struggle.
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Every season brings a new wave of AI announcements from fashion brands. Here is what those press releases tend to leave out.
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AI size-recommendation widgets are everywhere, but not all of them earn your trust. Here are seven questions that help you tell the thoughtful ones from the guesswork.
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AI is no longer a backstage experiment in fashion — it's shaping the clothes on the rail and the experience of buying them. Here are eight ways it's already touching your wardrobe.
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AI-generated product photography is spreading quietly across fashion retail. Here's how to train your eye—and use a few simple tools—to spot it before you buy.
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You cannot feel a fabric through a screen, but you can read it. This guide walks you through the signals — fibre content, weight, weave, and photography cues — that reveal how a cloth will actually behave once it arrives.
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Virtual try-on images can look convincing without being accurate. This step-by-step guide shows you exactly what to look for before you commit to a purchase.
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Arc'teryx has built a reputation for outerwear that outlasts trends and seasons. Public reporting points to why: a manufacturing philosophy centred on precision, material integrity, and quality control that resists shortcuts.
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Trade tariffs and supply-chain shocks are reshaping what you pay for clothes. This explainer breaks down the mechanics — from factory to fitting room.
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Brands are collecting millions of body measurements—and the insights they're drawing go well beyond helping you find the right size. Here's what's actually happening with that data.
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Sportswear brands are weaving sensors directly into leggings, running shoes and training tops. Before you buy, here is what the data can and cannot tell you, and who else gets to see it.
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More brands are generating product images with AI rather than booking studios and models. Here's what that shift looks like, why it's happening, and what it means for the images you rely on when you shop.
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The EU AI Act is the world's first comprehensive AI law—and it has quiet but real consequences for how you shop for clothes online. Here's what it means for you.
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On Running has built a product-creation process that leans heavily on digital engineering and robotic manufacturing. Here is what the public record tells us about how a shoe actually comes to life at one of sport's most talked-about brands.
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Generative AI is reshaping how fashion brands move from first sketch to finished sample. But speed alone isn't the whole story — quality, sustainability, and creative judgment still matter enormously.
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Before a garment can drape convincingly on a digital avatar or arrive at your door without a single physical sample, someone has to teach software exactly how its fabric moves. That process — fabric digitisation — is the quiet foundation beneath fashion technology's more visible promises.
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Before a single piece of fabric is cut, many brands now build and test their garments entirely in digital space. Here is what that shift means for the clothes you actually buy.
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Brands now use AI to scan millions of social images and predict what you'll want to wear next season. But the algorithms have real limits—and understanding them changes how you read the trends you're sold.
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Made-to-order clothing promises a better fit and less waste, but the price tag and lead times give many shoppers pause. Here is what the model actually involves, and whether it makes sense for you.
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Wardrobe apps promise to simplify your mornings and reduce impulse buying — but the data you feed them is more revealing than you might expect. Here is what actually happens to it.
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You answered every question, entered your measurements, and still sent it back. Here's the honest explanation for why AI fit quizzes fall short, and what the technology can and cannot do.
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From physics-based garment simulation to AI-generated imagery and virtual try-on, the story of how digital tools reshaped fashion is longer—and more complicated—than most trend pieces let on.
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Virtual try-on tools are everywhere now, but they have real limits. This guide explains what the technology genuinely shows you, where it quietly fails, and how to shop smarter in the gap.
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