As of the 2024 edition of the Business of Fashion–McKinsey State of Fashion report, digital product creation and 3D workflows are cited as a primary lever for productivity gains rather than an experimental add‑on, especially as executives expect low single‑digit …
As of Q4 2023, McKinsey and Business of Fashion report that fashion executives now rank digital product development and 3D sampling among the top technology priorities for protecting margins in a low-growth market. As growth expectations sit around low single …
As of the latest State of Fashion analysis by The Business of Fashion and McKinsey, fashion executives name digital product creation and generative AI among the most important technology priorities for the coming years, with a clear focus on faster, …
As of Q1 2026, Business of Fashion and McKinsey highlight that brands investing in digital product creation and virtual sampling are compressing development timelines while testing more design variations upstream than in previous seasons. In parallel, several whitepapers on 3D …
Digital fashion tools are reshaping how brands design, develop and market apparel. Discover how Style3D’s digital fashion tool ecosystem helps teams cut samples, reduce returns and go to market faster.
Digital fashion …
Digital fashion app users are reshaping design and e‑commerce. Discover how Style3D’s AI + 3D platform helps brands create, simulate, and market fashion collections faster and more sustainably.
Digital fashion apps are …
As of 2024, research on 3D garment reconstruction and high‑fidelity textures shows that asset quality directly determines realism and performance in virtual fashion experiences, especially when meshes and textures must withstand repeated reuse in production workflows. In parallel, industry guidelines …
As of Q1 2026, Business of Fashion–style insights and 3D sampling reports describe digital prototypes as a mainstream development path rather than an experiment, especially for brands compressing proto-to-salesman sample cycles with virtual sampling. In parallel, training data for AI …