The Interline
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The Interline is an fashion technology news publication and community dedicated to fashion and retail technology. Designed and written by the fashion industry experts who created WhichPLM, The Interline is an independent initiative targeted at fashion industry professionals who are hungry for real editorial, opinion, and analysis that is completely devoted to fashion technology outside the scope of PLM.
Other technology publications only rarely talk about fashion. And fashion business magazines only sometimes touch on technology. The Interline is different: we are all fashion technology, all of the time. Source
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| Scope | National |
|---|---|
| Language | English |
| Country | United Kingdom |
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Recent Articles
Search ArticlesUpcoming Webinar: Closing Fashion’s AI Trust Gap
AI is already part of fashion professionals’ everyday lives. From executives to domain specialists, the majority of us turn to AI tools at home and at work. But only a quarter of the industry trusts the output of AI enough to base a critical decision on top of, and as a result even the most potentially powerful tools still sit off to the side of the industry’s technology estate.
Spotlight On: Fit & Body Data
As important as technology has become to the moving goalposts of fit, solving the industry’s sizing crisis is not, at least not any more, a technology problem. Before understanding why, though, it’s essential to reckon with the scale of that crisis.
Fashion Week, On-Device Models, AI-Native Product Development, And Doomerism
The Edit is our weekly show, where Social Editor Grace Robinson quizzes editor-in-chief Ben Hanson on some of the most significant fashion and technology stories from the past seven days. This week on The Edit, Grace and Ben discuss Google’s use of AI at New York Fashion Week, Daydream’s move into on-device AI for shopping, Raspberry AI’s expansion into product development, Lectra’s launch of Apogy, and what AI’s threats to infrastructure could mean for fashion.
All About AI: Felix Hoffmann of 7Learnings
The user needs to be able to understand why a recommendation for a decision was made. At 7Learnings specifically, we use predictions to help with different decision options. We have additionally implemented a few measures to build trust in our solution: Explainable AI: It is important for retail pricing optimization to avoid being a black box.
Testing The Pace Of AI Progress
I still remember the first time I created an AI fashion image. It was in 2024, which feels like yesterday in some senses, but a lot more distant when you put it on the compressed timeline of technology. I took a photo of one of our Blue Vanilla dresses on a mannequin, using my ageing iPhone, with nothing but flat, natural lighting.
The Case For Making Wearable Medical Technology More Visible
Hey, welcome back to The Interline Podcast. We’ve talked about wearable technology on this show before, and we’ve certainly done it on The Edit, which is our Tuesday show with me and Grace. We’ve covered jewellery and accessories plenty of times in the past as well. What we haven’t done, I don’t think, is talk about where those two things cross over.
Orient Rongheng Partners with Coats Digital to Advance the Digital Upgrade of Multi-Factory Production Planning with FastReactPlan
SHANGHAI, CHINA and LONDON, UK – SEPTEMBER 16, 2026 – Coats Digital and Orient International Holding jointly announced today that Orient Rongheng has officially partnered with Coats Digital to deploy FastReactPlan to drive a comprehensive digital upgrade of its multi-factory production planning and scheduling processes across its global manufacturing network.
Lectra unveils Apogy, the first solution embedding agentic artificial intelligence to reinvent fashion product development
Paris, September 15, 2026 –Lectra announces the launch of Apogy, its cloud-based solution dedicated to product development, a critical phase between garment design and production. Nearly half a century after establishing the global standard for CAD solutions dedicated to the fashion industry, Lectra is opening a new chapter in history with Apogy.
All About AI: Evgeni Zapadinsky & Lana Vereshchagina of Aiclo
Lana: When you look at the broader AI landscape, the lack of trust in fashion makes perfect sense. The industry has been overwhelmed by generative tools that produce stunning visuals, but from a manufacturing perspective, they’re essentially hallucinations. They don’t understand fabric physics or grading logic. In production, a mistake in a pattern isn’t just a bad pixel. It’s wasted fabric. It’s a financial liability. For Aiclo, trust is defined by real-world outcomes.
All About AI: Atnyel Guedj of Made2Flow
For most fashion brands, sustainability data has always been in two places at once: everywhere and nowhere.