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16 件の記事
Every 3D designer has hit this moment: the garment looks right in the viewer, and the person you need to convince wants to see it on a street, on a body, next to the bag it will be sold with. Until now that meant a render setup, a photoshoot, or asking them to imagine it. AI Visualizer, now in Beta on CLO-SET paid plans, closes that gap. It takes the 3D garment you already built and generates
Ask a fashion team why they are looking at 3D collaboration tools and the answer is rarely about 3D alone. The challenge often appears when multiple teams and external partners need to review the same garment, follow revisions, and keep feedback connected to the correct product version. 3D collaboration platforms approach that problem in different ways. Some focus on fashion product development,
The pitch for 3D sampling usually overshoots. Somebody demos a garment rotating in a browser and the conclusion lands as “we can stop making samples,” which isn’t true and sets the project up to be judged against a promise it can’t keep. The defensible version of the argument is narrower: some of your sample rounds exist to answer questions that don’t require fabric. Those are the rounds 3D takes,
By the time a pre-production sample arrives, the interesting decisions are over. The silhouette was settled at proto. The fit was settled two rounds ago. What’s left is the dullest and most expensive question in the whole calendar: can this factory, on this line, with these materials, make this garment correctly, over and over? Approve it and bulk fabric gets cut. Approve it carelessly and you
A fit sample lands on the desk. Someone photographs it against a white wall, drops four images into an email, and writes "shoulder looks off." Three days later the vendor replies asking which shoulder, the merchandiser has forwarded an older photo to the buyer, and the pattern maker is holding a correction nobody approved. Nobody was careless. The review had nowhere to live. TL;DR A digital
How much does 3D garment simulation actually save a fashion business? For Australian fashion group APG & Co — the company behind Saba, Sportscraft and Jag — the answer in FY25 was a 50% reduction in development and fit sampling costs and an 80% time reduction on print strike-offs, with 100% of styles across all three brands developed and managed on CLO and CLO-SET. Those results earned APG & Co a
CLO-SET helps studios turn client reviews from a back-and-forth of static images into a shared 3D experience. CLO-SET helps studios turn client reviews from a back-and-forth of static images into a shared 3D experience. For a design studio, the product isn't finished when the garment is. It's finished when the client says so. And that's where time disappears: clients receive flat images or
A tech pack exists because a factory can't sew what it can't read. It's the document that turns a design into instructions: what the garment looks like, how it measures in every size, what it's made of, and how it ships. When a sample comes back wrong, the cause is almost always in this document. A measurement that lived only in someone's head, a trim that was discussed in chat but never written
A 3D garment starts as one file. Then comes a colorway variation, a fit revision, a vendor copy, a render for the sales team, and within a season one style has become fifteen files spread across email threads, shared drives, and someone's desktop. If your team works in 3D, file chaos isn't a storage problem. It slows down every review, and sooner or later, someone sews a sample from the wrong
If a vendor has ever cut a sample from an outdated tech pack, you already know that figuring out whose fault it was is beside the point. As long as your specs live scattered across email attachments, Excel sheets, and chat threads, the same mistake will happen again. You can muscle through it with ten styles a season. At several dozen styles and three rounds of revisions, it stops being a
Accurate digital fabrics are the foundation of every reliable 3D garment — and building them should be simple for everyone in the supply chain, not just 3D specialists. Today we’re introducing CLOFAB in CLO-SET : a web-based fabric digitization tool that lets you create, register, and share digital fabric assets right in your browser. No separate software installation, and no CLO license
Fashion product development involves much more than creating 3D garments. Teams collaborate across design, development, merchandising, and production, and the workflow connecting them determines how much time goes to manual work instead of decisions. In our 10th CLO-SET Skill-up Webinar, we shared practical tips and productivity features for each stage of product development: organizing product
Most product teams create a tech pack after the design is finished. But what if your tech pack could grow naturally alongside your 3D garment instead? A tech pack can be generated automatically from a 3D garment: when patterns, materials, measurements, and colorways are defined during design, that data becomes the tech pack, with no separate documentation step required. Here's how that workflow
Q2 updates cover the full stretch between product reviews and production documentation: better vendor communication, more confident quality reviews, and more complete tech packs. Explore what's new in CLO-SET . [Product Review & Collaboration] Product reviews involve vendor communication, repeated revisions, and continuous quality checks. This quarter adds capabilities that reduce the
Q1 updates support fashion teams at both ends of product development: shaping concepts earlier and preparing production documentation with less manual work. Explore what's new in CLO-SET . [Moodboard & Concept Development] Product development starts long before the first garment is created. During concept development, teams explore ideas, compare styling options, and set the creative direction.
CLO-SET helps teams keep assets, versions, and feedback connected throughout product development. In fashion product development, every style goes through multiple rounds of reviews, revisions, and approvals before reaching production. As styles, stakeholders, and review iterations multiply, teams need a single source of truth. Without connected product information, even small delays in locating
