A DIGITAL fashion entrepreneur has helped a BBC Radio 1 DJ develop a sustainable clothing brand using cutting-edge 3D software.

Laura Fish, founder of Fashion Toolbox, has helped Rosie Madison to launch the debut collection of her size-inclusive, slow fashion brand, Dorothy and Rose.

Based in Harrogate, Rosie has set up her independent, Yorkshire-based brand to challenge the one-size-fits-all fast fashion ethos and reject the high levels of waste and environmental impact in the global clothing industry.

The pair worked with industry-leading software ‘CLO3D’ to style, fit and refine virtual samples of Rosie’s designs, disposing of the need for multiple physical samples required in more traditional product development workflows.

Only one physical sample was needed for each garment after working through the innovative 3D process.

The digital modelling also allowed them to create a range of precision patterns which can be used to produce garments made in perfect proportion for women with diverse body shapes.

Rosie, who presents breakfast and weekend shows, said: “So much fashion is made overseas at speed, but I wanted to build something thoughtful, local and values-led.

“Creating a size-inclusive slow fashion brand meant finding the right people to work with and Laura felt like the perfect match.”

articlempu1

Laura, who set up Fashion Toolbox in 2019, building on 20 years’ experience in the fashion industry, added: “Supporting Rosie with her first collection has been a great example of how powerful 3D development can be for new designers.

“Building everything digitally meant we could explore Rosie’s ideas freely, refine details early and keep sampling to a minimum.

“It’s been a brilliant Yorkshire collaboration and I’m proud of what we achieved together.

articlempu2

“My work is centred on sustainability, accuracy and education, supporting both established companies and emerging designers to confidently adopt effective and efficient 3D digital tools to enhance their creativity and reduce the need for outdated and costly over-sampling.”