Fits Me

Materials Hack
Playground for innovative materials powered by Borealis.
8th-10th July – Vienna, Austria
2.5
days Hackathon
3
weeks Incubation
2
winning teams
24K
cash prizes
Padi 4-4
Harjumaa
10151 Tallinn
Estonia
General information: 

A Rakuten-owned company, Fits.me helps clothing brands and retailers to meet their most pressing challenge: the need to know their shoppers on an individual basis. Combined with other retail data, Fits.me’s detailed, individual, and collective consumer measurements and fit preference insights help retailer and brands to create personalized brand experiences at every customer touchpoint, and to address challenges right across their business: from individual transactions, to personalised marketing, to supply chain and innovation, to operations.

Through its portfolio of SaaS solutions, Fits.me captures shopper dimensions, fit preference data and insight, enabling leading apparel brands and retailers to engage with their shoppers, deliver personalised brand experiences at all customer touch points and enjoy critical operational insight.

Company information: 
Company type: 
Company
Industry: 
Fashion / Lifestyle / Textile
Types of jobs in the company: 
Customer Support, Finance, IT - Backend, IT - Frontend, Marketing, Product Management
Total numbers of employees: 
72
Products and Services: 
Garment Technology

We have a team of dedicated specialists – “garment technologists,” experts in different fields that are all important in understanding fit: pattern making, fabrics, fabric technology, and designing to name a few.

Garment technologists work with designers and manufacturers to ensure the overall quality and appeal of products produced by brands. Besides working with the garments on their own, they are involved in the testing process, working with the test subjects on how they feel as well as evaluating fit.

Working with the University of Tartu, we have created shape-shifting mannequins simulating thousands of different body shapes based on actual body measurements.
We’ve also taken a large volume of body scans and distilled them into a “quick entry” formula allowing us to gain a general understanding of a shopper’s body shape using three data points: age, weight and height.

Contact:

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