
50% of fashion products are returned. 75% of them due to wrong size and bad fit. Fashion eCommerce shops lose money every day and online shoppers are annoyed by returns. Our solution: presize allows web-shoppers to turn around in front of their smartphone camera once with normal clothes (you can wear jeans and t-shirt while doing it), and automatically get their best fitting clothing size recommended. We use a pipeline of Deep Learning algorithms to create a 3D human body model and match this to a database of sizing charts, fits and sewing patterns from our partner webshops and the internet. Your size persists on all partner webshops.

50% of fashion products are returned. 75% of them due to wrong size and bad fit. Fashion eCommerce shops lose money every day and online shoppers are annoyed by returns. Our solution: presize allows web-shoppers to turn around in front of their smartphone camera once with normal clothes (you can wear jeans and t-shirt while doing it), and automatically get their best fitting clothing size recommended. We use a pipeline of Deep Learning algorithms to create a 3D human body model and match this to a database of sizing charts, fits and sewing patterns from our partner webshops and the internet. Your size persists on all partner webshops.
Product: Smartphone-based 3D body scanning and automated clothing size recommendation for fashion e-commerce
Founded / HQ: Founded 2019; Munich, Germany (presize GmbH)
Exit: Acquired by Meta (announced April 2022)
Funding: Raised across early rounds; latest seed on 2020-07-24; total reported ~$2,000,000
Returns and sizing in fashion e-commerce
2019
Fashion e-commerce / Computer vision
Latest recorded funding round per company records
“Raised from multiple early investors including Plug and Play, SAP.iO, seed + speed Ventures, Christina Rosenberg and others”