ZyseMe & H&M Collaborate To Bring The Future of Personalisation To The Forefront

What trend will ultimately define fashion over the coming decade? Find out why personal ZyseMe and H&M think products will take centre stage.

We recently were given some exciting news by Anita Heiberg from ZyseMe. She is someone we consider a friend in the business, we first met her Munich Fabric Start a few seasons ago. It was while we bonded over the Wardrobe of the FUture, that she told us all about the AI-powered retail system, ZyseMe. Fast forward to now, and ZyseMe, which has been empowering fashion brands to cut costs and waste through better-fitting clothes since 2017, has partnered up with retail giant H&M to personalise our shopping experience.

ZyseMe’s collaboration with H&M LAB Germany has led to the development of a studio at the H&M Starting House in Berlin. For the next couple of weeks, it is to become the place where they will have demos, discussions and design insights. Open from 27th May until 8th June; they are encouraging everyone to come by and help shape a future that fits everybody.

Want to attend? Then take note.

WHERE: WERK.// H&M STARTING HOUSE
Neue Schoenhauser Str.13 10178 Berlin

WHEN: 27th May–8th June (closed 30th May)
11 am–8 pm, Monday–Saturday

Also, it is worth mentioning that there will be a panel discussion, with Bobby Östberg, CEO of ZyseMe and Oliver Lange, Head of H&M LAB Germany, taking place on 6th June 2019.

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Founding Editor in Chief at FashNerd.com | editor@fashnerd.com | Website

Founding editor-in-chief of FashNerd.com, Muchaneta is currently one of the leading influencers writing about the merger of fashion with technology and wearable technology. She has also given talks at Premiere Vision, Munich Fabric Start and Pure London, to name a few. Besides working as a fashion innovation consultant for various fashion companies like LVMH Atelier, Muchaneta has also contributed to Vogue Business, is a senior contributor at The Interline and an associate lecturer at London College of Fashion, UAL.