The future of fit is personal, inclusive, adaptive, and built on a foundation of objective, demographic-specific body data. New solutions for capturing, communicating, and making use of that data are redefining the entire cycle of design, development, production, and consumer engagement.
Starting with its existing, award-winning Size-Me platform, Bodi.Me developed Size-Me 3.0 to seamlessly incorporate M&S’ new collection and support the high street retailer’s somewhat 14,000 members of staff with the transition.
The status quo for the fashion industry continues to shape-shift: environmental regulations are on the horizon for the EU, secondary markets are attracting heightened attention, new initiatives and data are benchmarking the scale of recycling and repair, and fresh sizing and cultural standards for brands are being imposed.
Fit is a prime contributor to fashion's high return rate, and capturing consumer body data offers a clear path to improving it in ready-to-wear. But what does the longer-term future of fit look like, and how commercially viable is make-to-measure?
Digital product creation sits at the heart of every digital transformation strategy. This November, our free report will chart fashion's evolution from 3D to DPC, benchmark the industry, profile the technology vendors that matter, and come packed with exclusive editorial, opinion, and guidance.
To overcome uncertainty and capture new opportunities, nearly every role in fashion will be influenced by technology. We explore what this means for fashion professionals - in writing, and in person as part of a new live event partnership.
In the pursuit of precise fit and personalisation, fashion is leaping from traditional product photography straight to 3D avatars and consumer body data capture. But are brands missing out on the chance to get the best of both worlds?
The vision for true personalisation often clashes with the question of how one-off production can scale. But that burden could be eased by answering an earlier question: can the individualisation of patterns be automated?