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<title>AI in Fashion Daily (EN)</title><link>https://ai-in-fashion.com/en/</link><description>The daily briefing on AI in the fashion business</description><language>en</language>
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<item><title>What is AI in fashion? A complete guide to AI across the fashion value chain</title><link>https://ai-in-fashion.com/en/what-is-ai-in-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/what-is-ai-in-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>From design and planning to wholesale, supply chain and e-commerce: what artificial intelligence really does in fashion today, what data it needs and where its limits are.</description></item>
<item><title>How to start with AI in a fashion company: a 90-day plan</title><link>https://ai-in-fashion.com/en/how-to-start-with-ai/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/how-to-start-with-ai/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>A practical three-month plan for fashion companies: choosing the first use cases, checking the data, running a pilot that proves something and deciding what to scale.</description></item>
<item><title>How to build an AI strategy for a fashion brand</title><link>https://ai-in-fashion.com/en/ai-strategy-fashion-brands/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-strategy-fashion-brands/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>An AI strategy is a set of choices about where AI should change how the business works, what data and skills that requires and how risk is governed. Here is how fashion brands can make those choices.</description></item>
<item><title>Data strategy for AI in fashion: what to fix first</title><link>https://ai-in-fashion.com/en/data-strategy-for-ai/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/data-strategy-for-ai/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Most fashion AI projects stall on data, not algorithms. Here is which data matters most, what to fix first and how to make product, inventory and sales data ready for AI.</description></item>
<item><title>How to measure the ROI of AI in fashion</title><link>https://ai-in-fashion.com/en/ai-roi-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-roi-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Most companies struggle to prove that AI pays off. A practical framework for fashion: baselines, control groups, the right metrics per use case and the full cost picture.</description></item>
<item><title>Build, buy or partner? How fashion companies should source AI capabilities</title><link>https://ai-in-fashion.com/en/build-vs-buy-ai/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/build-vs-buy-ai/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Fashion companies can buy AI as software, build it on their own data or develop it with technology partners. When each option makes sense, what the evidence says and how to avoid lock-in.</description></item>
<item><title>What skills and team structures do fashion companies need for AI?</title><link>https://ai-in-fashion.com/en/ai-skills-and-teams/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-skills-and-teams/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>AI changes work in design, merchandising, sales and service. Which skills fashion companies need, how to organise AI teams and how to build AI literacy that sticks.</description></item>
<item><title>Fashion technology trends 2026: what is real and what is hype</title><link>https://ai-in-fashion.com/en/fashion-tech-trends-2026/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/fashion-tech-trends-2026/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>AI shopping assistants, agentic checkout, virtual try-on and enterprise agents: a sober look at which fashion technology trends are delivering in 2026 and which are still mostly promise.</description></item>
<item><title>AI in fashion design: how design teams actually use it</title><link>https://ai-in-fashion.com/en/ai-fashion-design/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-fashion-design/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Generative AI has moved into the design studio, but mostly as a fast sketchpad and visualisation tool. Here is where it helps designers, where it falls short and what teams need before they rely on it.</description></item>
<item><title>AI in fashion product development: from brief to sample</title><link>https://ai-in-fashion.com/en/ai-product-development/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-product-development/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>AI is reshaping the steps between a collection brief and the first approved sample: research, concepts, digital prototypes and range decisions. What works, what data it needs and where people stay in charge.</description></item>
<item><title>AI trend forecasting in fashion: how it works, what it sees and its limits</title><link>https://ai-in-fashion.com/en/ai-trend-forecasting/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-trend-forecasting/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>AI tools now scan runway images, social media and sales data to spot emerging styles. Here is what the signals can and cannot tell a design or buying team, and why human forecasters still matter.</description></item>
<item><title>AI, 3D and virtual sampling: fewer samples, faster decisions</title><link>https://ai-in-fashion.com/en/ai-3d-virtual-sampling/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-3d-virtual-sampling/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>3D garment simulation has been replacing some physical samples for years. AI now speeds up the steps around it. Here is what virtual sampling can really replace, what data it needs and where physical samples still win.</description></item>
<item><title>How does AI improve fit and sizing? From size advice to better patterns</title><link>https://ai-in-fashion.com/en/ai-fit-and-sizing/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-fit-and-sizing/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Size and fit problems drive a large share of fashion returns. AI now powers size recommendations, body measurement and virtual fitting rooms, and its data can flow back into patterns and size charts.</description></item>
<item><title>How is AI used for colour, prints and materials in fashion?</title><link>https://ai-in-fashion.com/en/ai-colour-and-materials/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-colour-and-materials/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>From AI palette tools to generated prints and AI-assisted fibre research, colour and materials work is changing. A sober look at what is in use, what is still experimental and what data it depends on.</description></item>
<item><title>Who owns an AI-generated fashion design? Copyright and IP explained</title><link>https://ai-in-fashion.com/en/ai-design-copyright/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-design-copyright/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Courts and copyright offices agree on one point: protection needs a human author. What that means for prints, sketches and garments made with AI tools, and how fashion brands can protect their work.</description></item>
<item><title>AI for fashion product data: attributes, tech packs and enrichment at scale</title><link>https://ai-in-fashion.com/en/ai-product-data-enrichment/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-product-data-enrichment/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Webshops, marketplaces, wholesale partners and AI shopping assistants all depend on complete product data. How AI extracts attributes, writes descriptions and checks records, and where humans stay in the loop.</description></item>
<item><title>AI in fashion merchandising: what it does, what it needs and where it fails</title><link>https://ai-in-fashion.com/en/ai-merchandising/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-merchandising/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Machine learning now supports forecasting, assortment, pricing and planning decisions in fashion. This guide explains the use cases, the data they depend on and how merchants stay in control.</description></item>
<item><title>How does AI inventory optimisation reduce deadstock and stockouts in fashion?</title><link>https://ai-in-fashion.com/en/ai-inventory-optimisation/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-inventory-optimisation/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Fashion stock is perishable: too much ends in markdowns, too little in lost sales. Here is how AI models balance the two, what evidence exists and what they need to work.</description></item>
<item><title>How does AI allocation and replenishment work across stores and channels?</title><link>https://ai-in-fashion.com/en/ai-allocation/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-allocation/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Allocation decides where stock goes first; replenishment decides what follows. AI makes both decisions at size and location level. Here is how it works, what it needs and where it struggles.</description></item>
<item><title>What is size curve optimisation and how does AI help buy the right sizes?</title><link>https://ai-in-fashion.com/en/ai-size-curve-optimisation/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-size-curve-optimisation/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Buying the wrong mix of sizes leaves fringe sizes on the rail and core sizes sold out. Here is how AI estimates true size demand, why stockouts mislead the data and what to watch for.</description></item>
<item><title>How can AI support range and line planning in fashion?</title><link>https://ai-in-fashion.com/en/ai-range-planning/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-range-planning/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Range planning decides how many styles, at which prices and in what depth a collection should have. AI can forecast new items and test scenarios, but the creative and strategic call stays human.</description></item>
<item><title>What is demand sensing and how does it work in fashion?</title><link>https://ai-in-fashion.com/en/ai-demand-sensing/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-demand-sensing/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Demand sensing updates short-term forecasts with the latest sales and external signals. In fashion it mainly improves in-season decisions: replenishment, transfers and markdowns.</description></item>
<item><title>Why is sell-out data essential for AI in fashion wholesale?</title><link>https://ai-in-fashion.com/en/sell-out-data/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/sell-out-data/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Brands that sell through retailers see what they ship, not what consumers buy. Sell-out data closes that gap, and without it most AI forecasting for wholesale works half blind.</description></item>
<item><title>How can AI improve open-to-buy and merchandise budget planning?</title><link>https://ai-in-fashion.com/en/ai-open-to-buy/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-open-to-buy/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Open-to-buy tells buyers how much they can still spend without breaking sales and stock targets. AI can keep that number current and more realistic, provided the plan behind it is sound.</description></item>
<item><title>AI in B2B fashion wholesale: the complete guide</title><link>https://ai-in-fashion.com/en/ai-b2b-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-b2b-wholesale/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Where artificial intelligence creates real value between brands and retail partners, what data it needs, how buyers already use it and where the limits are.</description></item>
<item><title>What makes a wholesale business AI-ready?</title><link>https://ai-in-fashion.com/en/ai-ready-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-ready-wholesale/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>AI readiness in fashion wholesale is less about algorithms than about structured product, order and partner data, clear ownership and processes that capture why buyers decide.</description></item>
<item><title>How do AI re-order prediction and automated replenishment work for retailers?</title><link>https://ai-in-fashion.com/en/ai-reorder-prediction/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-reorder-prediction/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Re-orders cover styles that have already proven themselves. AI can suggest or trigger them before a retail partner runs out, if sell-out and stock data are shared.</description></item>
<item><title>How can AI help fashion sales reps prepare, sell and follow up?</title><link>https://ai-in-fashion.com/en/ai-for-sales-reps/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-sales-reps/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>From account briefings to appointment notes and re-order nudges: what AI can take off a wholesale rep's desk, what buyers still expect from a person, and the risks.</description></item>
<item><title>How does AI change the digital showroom in fashion wholesale?</title><link>https://ai-in-fashion.com/en/ai-digital-showroom/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-digital-showroom/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Digital showrooms moved collections onto screens. AI adds personalised pre-selections, natural-language search, generated imagery and behavioural insight, with new limits to manage.</description></item>
<item><title>How does AI customer segmentation work for wholesale accounts?</title><link>https://ai-in-fashion.com/en/ai-b2b-customer-segmentation/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-b2b-customer-segmentation/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Static A, B and C tiers miss how retail partners actually behave. AI segmentation groups accounts by buying patterns and potential, if the data and governance are right.</description></item>
<item><title>How can AI automate order capture from emails, PDFs and spreadsheets?</title><link>https://ai-in-fashion.com/en/ai-order-capture/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-order-capture/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Many wholesale orders still arrive as attachments that someone retypes. AI can read and structure them, but size grids, product matching and validation decide whether it works.</description></item>
<item><title>What can conversational AI assistants do for B2B fashion buyers?</title><link>https://ai-in-fashion.com/en/ai-b2b-assistants/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-b2b-assistants/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Assistants that answer questions on availability, order status and terms are arriving in B2B portals. What they can do, what they must be connected to and where caution is needed.</description></item>
<item><title>How does AI personalisation work in fashion e-commerce?</title><link>https://ai-in-fashion.com/en/ai-ecommerce-personalization/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-ecommerce-personalization/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Recommendations, ranked listings, size advice and conversational assistants all rely on the same thing: clean customer and product data. A practical guide to what works, what it costs and where the limits are.</description></item>
<item><title>How are fashion brands using AI in marketing, from content to measurement?</title><link>https://ai-in-fashion.com/en/ai-fashion-marketing/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-fashion-marketing/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Generative AI has cut the time and cost of campaign content for some retailers, but brand control, rights and disclosure rules decide whether it works. A guide to the main uses and their limits.</description></item>
<item><title>Virtual try-on in fashion: how does it work and does it reduce returns?</title><link>https://ai-in-fashion.com/en/ai-virtual-try-on/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-virtual-try-on/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Generative AI can now show a garment on a photo of the shopper. That helps with style decisions, but fit and size are a different problem. What the technology does, what it needs and what the evidence says.</description></item>
<item><title>AI-generated models in fashion: what are the ethics and disclosure rules?</title><link>https://ai-in-fashion.com/en/ai-generated-models/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-generated-models/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Digital twins and fully synthetic models promise faster, cheaper imagery. Consent, pay, disclosure and audience trust now shape how brands can use them, and new rules in New York and the EU raise the bar.</description></item>
<item><title>How is AI search changing the way shoppers find fashion?</title><link>https://ai-in-fashion.com/en/ai-search-discovery/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-search-discovery/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Shoppers now describe what they want to chatbots and AI search engines instead of typing keywords. How conversational shopping works, what the early evidence shows and what it means for fashion brands and retailers.</description></item>
<item><title>How is AI used in fashion customer service, and where does it fail?</title><link>https://ai-in-fashion.com/en/ai-customer-service/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-customer-service/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>AI chatbots and agent assistants can answer order, return and sizing questions around the clock. Customers still want a human when it matters, and companies stay liable for what their bots say.</description></item>
<item><title>What is GEO, and how can fashion brands be found in AI search?</title><link>https://ai-in-fashion.com/en/geo-for-fashion-brands/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/geo-for-fashion-brands/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Generative engine optimisation aims to make a brand's products and content visible in AI-generated answers. What the research and the platforms actually say, and what fashion brands can do now.</description></item>
<item><title>How is AI used in physical fashion stores?</title><link>https://ai-in-fashion.com/en/ai-in-retail-stores/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-retail-stores/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>From associate assistants and clienteling to computer vision for stock and checkout, AI is moving onto the shop floor. What works, what it requires and where privacy law draws hard lines.</description></item>
<item><title>How is AI used in the fashion supply chain?</title><link>https://ai-in-fashion.com/en/ai-supply-chain/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-supply-chain/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>From demand planning to warehouse robots and supplier monitoring: where AI already works in fashion supply chains, what data it needs and where its limits are.</description></item>
<item><title>Can AI make fashion more sustainable?</title><link>https://ai-in-fashion.com/en/ai-sustainability/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-sustainability/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>AI can help fashion make fewer unwanted products and manage new EU rules, but it also uses energy and cannot fix a business model on its own. A sober look at both sides.</description></item>
<item><title>How does AI detect defects in fabrics and garments?</title><link>https://ai-in-fashion.com/en/ai-quality-control/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-quality-control/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Computer vision is moving textile inspection from the human eye to cameras and models. How it works, where it is used, and why data and defect definitions matter most.</description></item>
<item><title>How does AI help sort and recycle textiles?</title><link>https://ai-in-fashion.com/en/ai-textile-sorting-recycling/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-textile-sorting-recycling/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Recycling clothes into new fibres needs precise sorting by material and colour. Sensors and machine learning make that possible at scale, but capacity and economics are still limiting.</description></item>
<item><title>How can AI help fashion brands prepare for the Digital Product Passport?</title><link>https://ai-in-fashion.com/en/ai-digital-product-passport/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-digital-product-passport/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>The EU Digital Product Passport turns product data into a regulated deliverable. AI can help collect, check and structure that data, but it cannot invent what suppliers never recorded.</description></item>
<item><title>How can AI monitor supplier risk and compliance in fashion?</title><link>https://ai-in-fashion.com/en/ai-supplier-risk/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-supplier-risk/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Forced labour rules and due diligence laws push fashion companies to know their suppliers better. AI can scan documents and signals at scale, but it cannot replace audits and engagement.</description></item>
<item><title>EU AI Act: what do fashion companies need to know in 2026?</title><link>https://ai-in-fashion.com/en/eu-ai-act-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/eu-ai-act-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>The EU AI Act is in force, and the Digital Omnibus has moved the high-risk deadlines. What already applies to fashion brands and retailers, what comes next and where the real exposure lies.</description></item>
<item><title>Is fashion AI biased? Sizes, skin tones and fairness explained</title><link>https://ai-in-fashion.com/en/ai-bias-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-bias-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>From virtual models to size recommendations, fashion AI can reproduce narrow beauty norms. Where bias comes from, what research shows and how brands can test their systems.</description></item>
<item><title>How Zalando uses AI: the assistant, personalisation and size advice</title><link>https://ai-in-fashion.com/en/zalando-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/zalando-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Zalando has put AI into search, discovery and fit. What it built, how the data and models fit together, which results it has published and what remains unproven.</description></item>
<item><title>How H&amp;M uses AI: demand, allocation and digital twins</title><link>https://ai-in-fashion.com/en/hm-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/hm-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>H&amp;M has applied analytics and AI to buying quantities, store allocation and pricing since 2018, and to campaign imagery since 2025. What is documented, and what it has not disclosed.</description></item>
<item><title>How Inditex uses AI and data: RFID and a demand-driven supply chain</title><link>https://ai-in-fashion.com/en/inditex-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/inditex-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Inditex's edge rests on item-level RFID data, integrated stock and production close to home. Where AI now enters, what results are public and what remains undisclosed.</description></item>
<item><title>How Nike uses AI: direct-to-consumer data and generative product creation</title><link>https://ai-in-fashion.com/en/nike-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/nike-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>From demand sensing for its own channels to AI-generated footwear concepts and an AI shopping beta, what Nike has built, what it has disclosed and what changed under new leadership.</description></item>
<item><title>How adidas uses AI: from design archives to generative content</title><link>https://ai-in-fashion.com/en/adidas-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/adidas-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>adidas has documented AI in footwear concepting, software engineering, review analysis and personalised campaigns. What it built, what results it reports and what it has not disclosed about planning.</description></item>
<item><title>How Levi Strauss &amp; Co. uses AI: the data programme and its lessons</title><link>https://ai-in-fashion.com/en/levis-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/levis-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Levi Strauss &amp; Co. trained its own staff in machine learning, stumbled with AI models in 2023 and is now rolling out agents for employees and shoppers. What the programme shows.</description></item>
<item><title>How Ralph Lauren uses AI: Ask Ralph and the conversational shopping assistant</title><link>https://ai-in-fashion.com/en/ralph-lauren-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ralph-lauren-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Ralph Lauren launched Ask Ralph, a conversational styling assistant built on Microsoft Azure OpenAI, in its US app in September 2025. What it does, what has been disclosed and what remains open.</description></item>
<item><title>How Mango uses AI: generative design, virtual models and Mango Stylist</title><link>https://ai-in-fashion.com/en/mango-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/mango-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Mango has built more than 15 machine learning platforms since 2018, from the internal Lisa tool to AI-generated campaign models and the Mango Stylist assistant. What is documented and what is not.</description></item>
<item><title>How Stitch Fix uses AI: algorithms plus human stylists</title><link>https://ai-in-fashion.com/en/stitch-fix-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/stitch-fix-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Stitch Fix pairs recommendation algorithms with about 1,700 part-time stylists, and has added generative AI tools such as Vision. How the hybrid model works and what the numbers show.</description></item>
<item><title>How Uniqlo and Fast Retailing use AI and data in the Ariake Project</title><link>https://ai-in-fashion.com/en/uniqlo-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/uniqlo-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Fast Retailing's Ariake Project aims to make and sell exactly what customers want, when they want it. How AI, shared data and automated warehouses fit in, and what the group has disclosed.</description></item>
<item><title>How Shein uses data and algorithms: the on-demand model and its criticism</title><link>https://ai-in-fashion.com/en/shein-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/shein-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Shein says it orders new designs in batches of 100 to 200 pieces and scales them on demand signals. How the data-driven model works, what is claimed, and why regulators and designers criticise it.</description></item>
<item><title>How Kering uses AI: luxury clienteling and conversational commerce</title><link>https://ai-in-fashion.com/en/kering-ai-case-study/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/kering-ai-case-study/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>From Gucci's generative AI pilot in client service to the Madeline shopping assistant and an AI-powered unified client base announced in 2026: what Kering has built and disclosed.</description></item>
<item><title>AI in fashion: the September 2026 review</title><link>https://ai-in-fashion.com/en/ai-fashion-monthly-review-september-2026/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-fashion-monthly-review-september-2026/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Meta's Muse agent, Amazon's block, Shopify's agent checkout, AI replenishment at Macy's and Zalando's AI imagery: the verified AI news for fashion from September 2026.</description></item>
<item><title>AI for fashion buyers: what changes in buying and how to start</title><link>https://ai-in-fashion.com/en/ai-for-fashion-buyers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-fashion-buyers/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Where AI already helps fashion buyers with trend scanning, line reviews, quantities and re-orders, what data it needs, what stays a human judgement and a 30-day plan to start.</description></item>
<item><title>AI for merchandisers and planners: a practical guide</title><link>https://ai-in-fashion.com/en/ai-for-merchandisers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-merchandisers/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>How AI supports merchandise financial planning, forecasting, allocation, replenishment and markdowns in fashion, what data it needs, what planners still decide and how to start.</description></item>
<item><title>AI for fashion designers: tools, workflows and limits</title><link>https://ai-in-fashion.com/en/ai-for-fashion-designers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-fashion-designers/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>How fashion designers use generative AI for research, moodboards, colour, prints and early concepts, where it falls short on construction and fit, and what copyright and labelling rules mean.</description></item>
<item><title>AI for wholesale sales teams and key account managers</title><link>https://ai-in-fashion.com/en/ai-for-wholesale-sales-teams/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-wholesale-sales-teams/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>How AI helps fashion wholesale reps and key account managers prepare appointments, build retailer assortments, read sell-out data and handle re-orders, plus what buyers still expect from people.</description></item>
<item><title>AI for fashion e-commerce managers: a practical guide</title><link>https://ai-in-fashion.com/en/ai-for-ecommerce-managers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-ecommerce-managers/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Where AI helps fashion e-commerce managers with search, personalisation, product content, size advice, service and merchandising, what data it needs, legal duties and a 30-day starting plan.</description></item>
<item><title>AI for fashion CFOs: where the money is and how to govern it</title><link>https://ai-in-fashion.com/en/ai-for-fashion-cfos/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-fashion-cfos/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Where AI creates measurable value in a fashion business, what finance teams can use it for, why many AI projects fail to pay back and how CFOs can govern AI spending and risk.</description></item>
<item><title>AI for CIOs and IT leaders in fashion: architecture, data and governance</title><link>https://ai-in-fashion.com/en/ai-for-fashion-it-leaders/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-fashion-it-leaders/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>What fashion CIOs and IT leaders need to get right for AI: product and sales data foundations, integration architecture, build or buy, security, EU AI Act duties and governance frameworks.</description></item>
<item><title>AI for sourcing and supply chain managers in fashion</title><link>https://ai-in-fashion.com/en/ai-for-sourcing-supply-chain-managers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-for-sourcing-supply-chain-managers/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>How fashion sourcing and supply chain managers use AI for demand and production planning, cost and tariff scenarios, supplier risk, compliance and quality, with data needs, limits and a 30-day plan.</description></item>
<item><title>AI in luxury fashion: how clienteling, craft and brand control are changing</title><link>https://ai-in-fashion.com/en/ai-in-luxury-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-luxury-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Luxury houses sell scarcity, service and story. AI can strengthen all three, but only if brands keep control of voice, data and the human relationship at the moments that matter.</description></item>
<item><title>AI in sportswear: how it shapes performance product, community and demand</title><link>https://ai-in-fashion.com/en/ai-in-sportswear/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-sportswear/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Sportswear brands combine technical product, athlete storytelling and huge launch volumes. AI helps in design, content and demand, but performance claims and athlete data raise the bar.</description></item>
<item><title>AI in fast fashion: speed, demand signals and the overproduction problem</title><link>https://ai-in-fashion.com/en/ai-in-fast-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-fast-fashion/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Fast fashion lives on reading demand early and reacting fast. AI sharpens both, but it can also accelerate volume, and new EU rules make unsold stock more costly.</description></item>
<item><title>AI in footwear: fit, size data and faster product creation</title><link>https://ai-in-fashion.com/en/ai-in-footwear/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-footwear/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>In footwear, a few millimetres decide whether a sale sticks. AI helps with foot scanning, size advice and design iteration, but only on top of accurate last and product data.</description></item>
<item><title>AI in denim: how finishing, laser technology and water use are changing</title><link>https://ai-in-fashion.com/en/ai-in-denim/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-denim/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Denim's look is made in finishing, traditionally with water, chemicals and manual abrasion. Digital design and laser finishing, increasingly guided by AI, change that, but the evidence base is still thin.</description></item>
<item><title>AI in resale and second-hand fashion: authentication, pricing and listing</title><link>https://ai-in-fashion.com/en/ai-in-resale-second-hand/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-resale-second-hand/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Every second-hand item is a unique product that must be identified, checked, priced and described. That makes AI more central to resale economics than to almost any other fashion segment.</description></item>
<item><title>AI in mid-market and wholesale-led fashion brands: where to start</title><link>https://ai-in-fashion.com/en/ai-in-mid-market-brands/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-mid-market-brands/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Mid-market brands that sell mainly through retail partners have less data and smaller teams than the giants. AI still pays off, if it targets order-taking, product data and sell-through insight.</description></item>
<item><title>AI in childrenswear and basics: forecasting replenishment-driven ranges</title><link>https://ai-in-fashion.com/en/ai-in-childrenswear-and-basics/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-childrenswear-and-basics/</guid><pubDate>Wed, 07 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Basics and childrenswear sell steadily, in many sizes, at thin margins. That makes them ideal for AI forecasting and replenishment, and sensitive when the customer is a child.</description></item>
<item><title>What is fashion wholesale? How brands sell collections to retailers</title><link>https://ai-in-fashion.com/en/what-is-fashion-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/what-is-fashion-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Wholesale is the business of selling a collection to other businesses before the consumer ever sees it. Here is how the model works, who buys, and why it still anchors many fashion brands.</description></item>
<item><title>Pre-order vs re-order: the two rhythms of the fashion order book</title><link>https://ai-in-fashion.com/en/pre-order-vs-re-order/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/pre-order-vs-re-order/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Pre-orders set the shape of a season; re-orders react to how it is actually selling. Understanding both is essential for planning stock, cash and production.</description></item>
<item><title>How a wholesale season works, from line release to delivery</title><link>https://ai-in-fashion.com/en/how-a-wholesale-season-works/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/how-a-wholesale-season-works/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>A fashion wholesale season is a long chain of dependent steps. This guide walks through each stage, who is involved and where things typically go wrong.</description></item>
<item><title>Sell-in vs sell-through: the two numbers every brand should watch</title><link>https://ai-in-fashion.com/en/what-is-sell-in/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/what-is-sell-in/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Sell-in tells a brand what retailers bought. Sell-through tells it what consumers actually took home. Reading the two together reveals the true health of a wholesale business.</description></item>
<item><title>Replenishment in fashion: how never-out-of-stock programmes work</title><link>https://ai-in-fashion.com/en/what-is-replenishment-in-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/what-is-replenishment-in-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Never-out-of-stock programmes keep core products permanently available to retailers. They look simple from the shop floor, but depend on disciplined planning, stock and data.</description></item>
<item><title>What a good B2B ordering portal needs: a practical checklist</title><link>https://ai-in-fashion.com/en/b2b-portal-checklist/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/b2b-portal-checklist/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>A B2B ordering portal should make it easier for retailers to buy than to pick up the phone. This checklist covers the features and foundations that make the difference.</description></item>
<item><title>Digital showrooms explained: what they are and when they work</title><link>https://ai-in-fashion.com/en/digital-showroom-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/digital-showroom-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>A digital showroom presents a collection to buyers on screen instead of on a rail. It can widen reach and speed up decisions, but it does not replace every physical appointment.</description></item>
<item><title>Sales apps for fashion field reps: what matters on the road</title><link>https://ai-in-fashion.com/en/sales-apps-for-field-reps/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/sales-apps-for-field-reps/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Field reps sell in stockrooms, trade fair stands and hotel suites, often with poor connectivity. A sales app has to work there first, and look good second.</description></item>
<item><title>Why trade fairs still matter in a digital wholesale world</title><link>https://ai-in-fashion.com/en/trade-fairs-in-a-digital-world/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/trade-fairs-in-a-digital-world/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Digital tools now handle much of what fairs once did, from presenting collections to writing orders. Yet the fair floor still does jobs that a screen struggles to replicate.</description></item>
<item><title>Order minimums, payment terms and delivery windows explained</title><link>https://ai-in-fashion.com/en/order-minimums-and-terms/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/order-minimums-and-terms/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>The commercial terms behind a wholesale order shape cash flow, risk and the relationship on both sides. Here is how minimums, payment terms and delivery windows work in fashion.</description></item>
<item><title>Key account management in fashion wholesale: a practical guide</title><link>https://ai-in-fashion.com/en/key-account-management-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/key-account-management-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>A handful of large retail partners often drive a disproportionate share of a brand's wholesale business. Managing them well takes structure, data and senior attention.</description></item>
<item><title>The wholesale KPIs that actually matter</title><link>https://ai-in-fashion.com/en/wholesale-kpis/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/wholesale-kpis/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Wholesale teams can measure almost anything. The useful KPIs are the ones that explain revenue quality, account health and execution, and that lead to a decision.</description></item>
<item><title>ERP in fashion: the system of record behind every order</title><link>https://ai-in-fashion.com/en/erp-in-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/erp-in-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Every wholesale order, invoice and delivery ends up in the ERP. Here is what it does in a fashion business, where it struggles, and how to keep it healthy.</description></item>
<item><title>PLM explained: how collections move from sketch to sample</title><link>https://ai-in-fashion.com/en/plm-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/plm-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Product lifecycle management is where a collection is designed, specified, costed and sampled. Here is what PLM does, who uses it and what to expect from it.</description></item>
<item><title>PIM explained: why product data is a fashion brand's hidden asset</title><link>https://ai-in-fashion.com/en/pim-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/pim-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>A product information management system holds the content that sells: descriptions, attributes, images and translations. Here is why it matters for every channel, wholesale included.</description></item>
<item><title>PLM, PIM and ERP: who owns what in a fashion tech stack</title><link>https://ai-in-fashion.com/en/plm-pim-erp-differences/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/plm-pim-erp-differences/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Three acronyms, three different jobs. A clear split of data ownership between PLM, PIM and ERP prevents duplicate work, conflicting records and late collections.</description></item>
<item><title>Headless commerce for fashion brands, in plain language</title><link>https://ai-in-fashion.com/en/headless-commerce-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/headless-commerce-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Headless commerce separates what shoppers and buyers see from the engine that runs prices, carts and orders. Here is what that means, when it helps and what it costs.</description></item>
<item><title>How integrations connect brands and retailers: EDI, APIs and files</title><link>https://ai-in-fashion.com/en/api-integrations-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/api-integrations-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Orders, product data, stock and invoices flow between brands and retailers through three main routes. A practical guide to choosing and running each one.</description></item>
<item><title>EDI in fashion: the old standard that still moves orders</title><link>https://ai-in-fashion.com/en/edi-in-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/edi-in-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Electronic data interchange has connected brands and retailers for decades. Here is how EDI works in fashion wholesale, which messages matter and how to get onboarded smoothly.</description></item>
<item><title>Build or buy? Choosing software for a fashion business</title><link>https://ai-in-fashion.com/en/build-vs-buy-fashion-software/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/build-vs-buy-fashion-software/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Custom software promises a perfect fit, standard software promises speed and lower risk. A practical framework for deciding which path suits each part of a fashion business.</description></item>
<item><title>What a modern tech stack looks like for a mid-sized fashion brand</title><link>https://ai-in-fashion.com/en/fashion-tech-stack-mid-size-brand/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/fashion-tech-stack-mid-size-brand/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>From product development to wholesale ordering and finance, a mid-sized fashion brand needs a connected set of systems. A layer-by-layer guide to what belongs where.</description></item>
<item><title>Product master data: the unglamorous key to digital fashion</title><link>https://ai-in-fashion.com/en/data-quality-product-master-data/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/data-quality-product-master-data/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Style numbers, colour codes, size scales and identifiers decide whether showrooms, portals, feeds and invoices work. A practical guide to getting product master data right.</description></item>
<item><title>Marketplaces for fashion brands: models, trade-offs and control</title><link>https://ai-in-fashion.com/en/marketplaces-for-brands/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/marketplaces-for-brands/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Online marketplaces offer reach, but each model changes who controls price, stock and brand presentation. Here is how the main models work and what brands should weigh.</description></item>
<item><title>How to run a software selection (RFP) without losing a season</title><link>https://ai-in-fashion.com/en/software-selection-rfp/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/software-selection-rfp/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>A structured selection process finds the right system and protects the selling calendar. A step-by-step guide for fashion businesses running a request for proposal.</description></item>
<item><title>Where AI fits in fashion wholesale today</title><link>https://ai-in-fashion.com/en/ai-in-fashion-wholesale-overview/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-in-fashion-wholesale-overview/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>AI is already useful in wholesale, but mostly in narrow, data-rich tasks. A sober map of where it helps sales, buying and operations, and where human judgement still decides.</description></item>
<item><title>AI demand forecasting in fashion: how it works and where it fails</title><link>https://ai-in-fashion.com/en/ai-demand-forecasting/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-demand-forecasting/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Machine learning can improve fashion forecasts for carry-over lines and replenishment, but new styles, short seasons and trend shifts remain hard. What leaders should expect, and what not to.</description></item>
<item><title>AI agents explained for fashion executives</title><link>https://ai-in-fashion.com/en/ai-agents-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-agents-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>AI agents can plan steps and use tools rather than just answer questions. What that means in practice for fashion companies, which tasks suit them and which controls must come first.</description></item>
<item><title>Using AI in assortment planning without losing the brand</title><link>https://ai-in-fashion.com/en/ai-assortment-planning/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-assortment-planning/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>AI can sharpen depth, breadth and size decisions in assortment planning. The risk is a range that drifts towards safe averages. How to use the tools while keeping the brand's point of view.</description></item>
<item><title>AI for product descriptions and content: a quality checklist</title><link>https://ai-in-fashion.com/en/ai-product-content/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-product-content/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Generative AI can draft product copy, translations and attributes at scale. Without a quality process it also produces errors, bland text and compliance risks. A checklist for content teams.</description></item>
<item><title>AI recommendations in B2B sales: from co-purchase lists to next best action</title><link>https://ai-in-fashion.com/en/ai-sales-recommendations/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-sales-recommendations/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Wholesale &amp; B2B</category><description>Recommendation engines are moving from simple co-purchase lists to account-specific suggestions for sales reps and buyers. How the main approaches work and what makes them trusted in fashion wholesale.</description></item>
<item><title>Is your data ready for AI? A readiness check for fashion brands</title><link>https://ai-in-fashion.com/en/ai-readiness-data/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-readiness-data/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Most AI projects in fashion stall on data, not algorithms. A practical readiness check across product, customer, order and stock data, with the fixes that matter most.</description></item>
<item><title>AI and pricing: markdown optimisation explained</title><link>https://ai-in-fashion.com/en/ai-pricing-markdowns/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-pricing-markdowns/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Markdown optimisation uses demand models to decide when and how deeply to discount. How it works, what it needs, and why brand and wholesale relationships must set its limits.</description></item>
<item><title>Generative AI in fashion design: useful tool or distraction?</title><link>https://ai-in-fashion.com/en/generative-ai-design/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/generative-ai-design/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>Image generators can produce mood boards and print ideas in seconds. Whether they improve design depends on where they sit in the process, and on how brands handle originality and rights.</description></item>
<item><title>AI governance for fashion companies: a pragmatic starting point</title><link>https://ai-in-fashion.com/en/ai-governance-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-governance-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Staff are already using AI tools, with or without a policy. A lean governance framework for fashion companies: what to allow, what to control, and who decides.</description></item>
<item><title>Visual search and image recognition in fashion commerce</title><link>https://ai-in-fashion.com/en/ai-visual-search/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-visual-search/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Image recognition lets shoppers and buyers search by picture and helps brands tag products automatically. How the technology works, where it performs well and what it depends on.</description></item>
<item><title>The AI vocabulary every fashion buyer should know</title><link>https://ai-in-fashion.com/en/ai-glossary-for-buyers/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/ai-glossary-for-buyers/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Suppliers, brands and internal teams increasingly talk about models, agents and embeddings. A practical glossary for fashion buyers, with what each term means for buying decisions.</description></item>
<item><title>Omnichannel in fashion retail: what it actually requires</title><link>https://ai-in-fashion.com/en/omnichannel-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/omnichannel-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Omnichannel is not a website plus stores. It is a set of shared data, stock, processes and incentives that let customers move freely between channels.</description></item>
<item><title>What independent fashion retailers need from their brand partners</title><link>https://ai-in-fashion.com/en/independent-retail-guide/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/independent-retail-guide/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Independent boutiques buy with tight budgets and small teams. Brands that make buying easy, share risk in season and protect full-price selling keep them.</description></item>
<item><title>Open-to-buy explained: how fashion retailers budget their buying</title><link>https://ai-in-fashion.com/en/open-to-buy-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/open-to-buy-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Open-to-buy tells a buyer how much stock can still be purchased without breaking the plan. Here is how it is calculated, used and commonly misused.</description></item>
<item><title>Concession, consignment and wholesale: the three models compared</title><link>https://ai-in-fashion.com/en/concession-vs-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/concession-vs-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Who owns the stock, sets the price and carries the markdown risk depends on the commercial model. How wholesale, consignment and concessions differ.</description></item>
<item><title>Inventory visibility across channels: the basics for fashion businesses</title><link>https://ai-in-fashion.com/en/inventory-visibility/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/inventory-visibility/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Stock that cannot be seen cannot be sold. What inventory visibility means, which stock states to track and how to build it step by step.</description></item>
<item><title>What the physical fashion store is for now</title><link>https://ai-in-fashion.com/en/store-of-the-future/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/store-of-the-future/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Stores are no longer just places that hold stock. They are showrooms, service centres, fulfilment hubs and return points, and must be measured that way.</description></item>
<item><title>How the department store model works, and why it is changing</title><link>https://ai-in-fashion.com/en/department-stores-model/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/department-stores-model/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Department stores are part merchant, part landlord. How their model makes money, why it came under pressure and what brands should ask of them now.</description></item>
<item><title>The retail buying calendar: a year in the life of a fashion buyer</title><link>https://ai-in-fashion.com/en/retail-buying-calendar/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/retail-buying-calendar/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Fashion buyers work across several seasons at once. How the buying year is structured, what happens at each stage and how the calendar is shifting.</description></item>
<item><title>Clienteling: personal service in a data-driven fashion store</title><link>https://ai-in-fashion.com/en/clienteling/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/clienteling/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Clienteling turns store associates into relationship managers. What it is, what a programme needs, and how to introduce it without the common pitfalls.</description></item>
<item><title>Why returns are fashion e-commerce's costliest problem</title><link>https://ai-in-fashion.com/en/returns-in-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/returns-in-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Returns hit fashion harder than almost any other online category. Where the real costs arise, why they distort data, and what retailers and brands can do.</description></item>
<item><title>Endless aisle and drop shipping between brands and retailers</title><link>https://ai-in-fashion.com/en/drop-shipping-endless-aisle/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/drop-shipping-endless-aisle/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Commerce &amp; Marketing</category><description>Retailers want wider ranges without more stock; brands want more sales from the stock they hold. How endless aisle and drop shipping connect the two.</description></item>
<item><title>Retail metrics explained: sell-through, GMROI and weeks of cover</title><link>https://ai-in-fashion.com/en/retail-metrics/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/retail-metrics/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>Three metrics answer most questions about how fashion stock is performing. How to calculate sell-through, GMROI and weeks of cover, and read them together.</description></item>
<item><title>The main business models in fashion, explained</title><link>https://ai-in-fashion.com/en/fashion-business-models/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/fashion-business-models/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Wholesale, direct-to-consumer, licensing, private label and more: how each fashion business model makes money, where the risk sits and why most brands run several at once.</description></item>
<item><title>Direct-to-consumer vs wholesale: rethinking the channel mix</title><link>https://ai-in-fashion.com/en/dtc-vs-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/dtc-vs-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>The promise of DTC was higher margin and direct customer data. The reality includes acquisition costs, inventory risk and returns. Why the smart answer is usually a deliberate balance.</description></item>
<item><title>How margins work in fashion, from factory to shop floor</title><link>https://ai-in-fashion.com/en/fashion-margins/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/fashion-margins/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>From the factory cost to the price on the swing tag: how landed cost, wholesale markup and retail markup combine, and why markdowns decide what margin is really earned.</description></item>
<item><title>Seasonality and cash flow in fashion businesses</title><link>https://ai-in-fashion.com/en/seasonality-cash-flow/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/seasonality-cash-flow/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Fashion brands pay for fabric months before they are paid for garments. How the seasonal cash cycle works, where the pressure points are and how finance teams manage them.</description></item>
<item><title>Expanding a fashion brand internationally through wholesale</title><link>https://ai-in-fashion.com/en/international-expansion-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/international-expansion-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Wholesale is often the lowest-risk route into new markets. A practical guide to choosing markets, structuring sales, pricing across currencies and supporting retailers abroad.</description></item>
<item><title>Agents, distributors and showrooms: who sells a brand abroad</title><link>https://ai-in-fashion.com/en/agents-and-distributors/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/agents-and-distributors/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Commission agents, distributors and multi-brand showrooms all open doors for fashion brands in foreign markets. How each model works, what it costs and what to put in the contract.</description></item>
<item><title>Pricing architecture: wholesale price, RRP and currency price lists</title><link>https://ai-in-fashion.com/en/pricing-architecture/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/pricing-architecture/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Merchandising &amp; Buying</category><description>How fashion brands structure price points, wholesale prices, recommended retail prices and currency lists into one coherent system that retailers trust and finance can defend.</description></item>
<item><title>Lead times in fashion: why a season starts a year early</title><link>https://ai-in-fashion.com/en/lead-times-supply-chain/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/lead-times-supply-chain/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>From trend research to delivery in store, a traditional fashion season takes many months to build. Where the time goes, what drives it and how brands compress it.</description></item>
<item><title>Nearshoring in fashion: the trade-offs</title><link>https://ai-in-fashion.com/en/nearshoring-fashion/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/nearshoring-fashion/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Moving production closer to end markets promises speed, flexibility and resilience. It also raises unit costs and narrows capability. How to decide what to bring closer and what to leave.</description></item>
<item><title>What investors look at in a fashion brand</title><link>https://ai-in-fashion.com/en/fashion-brand-valuation/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/fashion-brand-valuation/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Brand heat is not enough. Investors and acquirers examine margin quality, channel mix, customer data, inventory discipline and scalability. A clear guide to how fashion businesses are assessed.</description></item>
<item><title>A realistic digital roadmap for a traditional fashion brand</title><link>https://ai-in-fashion.com/en/digital-transformation-roadmap/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/digital-transformation-roadmap/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Digital transformation fails when it starts with tools. A phased, practical roadmap for established fashion brands, starting with data and processes and sequenced around the season.</description></item>
<item><title>Bringing sales teams along on digital change</title><link>https://ai-in-fashion.com/en/change-management-sales-teams/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/change-management-sales-teams/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Strategy, Data &amp; Regulation</category><description>Sales teams can make or break a new digital process. How to involve them early, show what is in it for them, protect selling time and turn sceptics into advocates.</description></item>
<item><title>The Digital Product Passport explained for fashion brands</title><link>https://ai-in-fashion.com/en/digital-product-passport-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/digital-product-passport-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>The EU is building a digital identity for products sold in its market. Here is what the passport will mean for apparel, what is still open and how brands can prepare their data now.</description></item>
<item><title>ESPR explained: what the EU ecodesign regulation means for textiles</title><link>https://ai-in-fashion.com/en/espr-explained/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/espr-explained/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>The Ecodesign for Sustainable Products Regulation extends EU product design rules to clothing and footwear. What it requires, what is already in force and what is still being drafted.</description></item>
<item><title>Extended producer responsibility for textiles, explained</title><link>https://ai-in-fashion.com/en/epr-textiles/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/epr-textiles/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>The revised EU Waste Framework Directive makes producers pay for the collection, sorting and recycling of used clothing and footwear. Who counts as a producer, what it costs and when it starts.</description></item>
<item><title>Overproduction in fashion: causes and levers</title><link>https://ai-in-fashion.com/en/overproduction/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/overproduction/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Making more than can be sold at full price is built into how fashion plans, buys and produces. Why it happens, why regulation now raises the stakes and which levers actually work.</description></item>
<item><title>Supply chain traceability in fashion: where to start</title><link>https://ai-in-fashion.com/en/traceability-supply-chain/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/traceability-supply-chain/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Regulators, retailers and consumers increasingly ask where clothes come from. A practical guide to mapping suppliers, collecting data and building traceability step by step.</description></item>
<item><title>Green claims in fashion: how to communicate without greenwashing</title><link>https://ai-in-fashion.com/en/green-claims/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/green-claims/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>From 27 September 2026, new EU consumer rules ban vague environmental claims and unreliable labels. What changes for fashion marketing, product pages and wholesale copy.</description></item>
<item><title>Resale and recommerce: how second-hand reached the brands</title><link>https://ai-in-fashion.com/en/resale-and-recommerce/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/resale-and-recommerce/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Second-hand fashion has moved from charity shops and peer-to-peer platforms into brand-run programmes. The main models, what they require and where they fit in a brand's strategy.</description></item>
<item><title>Circular design principles for fashion collections</title><link>https://ai-in-fashion.com/en/circular-design/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/circular-design/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>A garment's end of life is largely decided at the design desk. The principles of circular design, how they translate into collection work and the trade-offs designers face.</description></item>
<item><title>3D design and digital samples: fewer physical samples, faster decisions</title><link>https://ai-in-fashion.com/en/digital-sampling-3d/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/digital-sampling-3d/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Design &amp; Product</category><description>3D garment simulation lets teams review fit, colour and assortment on screen before a single sample is sewn. How it works, where it saves time and material, and where physical samples still win.</description></item>
<item><title>Textile certifications decoded: what the main labels actually cover</title><link>https://ai-in-fashion.com/en/materials-certifications/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/materials-certifications/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Organic, recycled, tested for harmful substances, responsibly sourced: textile certifications cover very different things. A guide to the main standards and how to use them in claims.</description></item>
<item><title>Made-to-order and pre-order as sustainability tools</title><link>https://ai-in-fashion.com/en/made-to-order/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/made-to-order/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Producing against confirmed demand rather than forecasts can reduce surplus stock. Where made-to-order and pre-order work, what they demand from operations and where their limits lie.</description></item>
<item><title>Sharing sustainability data with retail partners: a practical guide</title><link>https://ai-in-fashion.com/en/sustainability-data-wholesale/</link><guid isPermaLink="true">https://ai-in-fashion.com/en/sustainability-data-wholesale/</guid><pubDate>Tue, 06 Oct 2026 05:00:00 GMT</pubDate><category>Supply Chain &amp; Sustainability</category><description>Retailers increasingly ask brands for material, origin and certification data per product. What they need, how to structure it and how to keep claims consistent across channels.</description></item>
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