The origin
When two garments of the same brand were purchased together for the same person, different sizes were needed for the right fit.
One day at the beginning of 2016, Iñaki buys two garments of the same brand in the same shop that require different sizes to fit him. Iñaki thinks about how this would affect online sales and returns and talks about the situation to Pedro and Nestor, old colleagues from prior startups to work on a new idea. Together, they analyse the problem and eventually, uSizy is founded in the middle of 2016.
When two garments of the same brand were purchased together for the same person, different sizes were needed for the right fit.
Pedro and Iñaki (both engineers) develop the first version of their size recommendation engine based on machine learning, configuring products and patterns for 30 biking brands.
The product is tested with some eCommerces over several months and improvements are achieved.
Experts from big companies (Inditex, Google, etc.) and industry (footwear, fashion, etc.) help uSizy understand the main pains and needs in the market
Machine learning needs to learn faster. uSizy develops isomorphic technology: the best technology in the market, connecting products with same patterns (from the same brand or not) and increasing the speed of machine learning.
After successful results in Biking, solutions for Sports in general and footwear are developed. The size recommendation engine now works for 100 brands, with all size systems and in 23 languages.
uSizy creates footwear solution with a model comparison system and machine learning.
uSizy develops a fashion solution with new changes in tech processes with new fashion patterns
The uSizy team grows and hires expert engineers and mathematicians to get to the next level: Developing solutions for stock, logistics and pricing
uSizy starts to analyse other pains in the eCommerce world and develops first versions of the different products
U.S. investment funds rely on uSizy's current and future technology to build the future of retail
The team analyses how to monitor and predict stock breakage by category, product and size
The team analyses the impact of predicting returns, customer services and future stock breakage
The team analyses how to improve the pricing model by product and size in an eCommerce based on data and prediction
uSizy launches a beta version of uSizy Smart Business. This platform includes new products: uSizy Size Adviser, Smart Stock, Smart Logistics and Smart Pricing
uSizy works with customers and experts to analyse and improve uSizy Smart Business new products
uSizy offers the best products for retails based on machine learning and big data
uSizy technology boosts sales, reduces returns, increases loyalty, eliminates stock breakage and predicts key information for businesses