AI and machine learning for less overproduction and more sustainable consumption in the fashion industry - a deep learning approach to understand products and customers better.

SAIZ - AI for product development optimization in the fashion industry.

SAIZ enables fashion brands to optimize product development towards their own specific target groups, thereby minimizes the overproduction in the fashion industry. Hugely analog and non-data-driven processes have caused extreme inaccuracy when producing fashion.

An average fit rate (garment fits the target group) is estimated to be at 15%, sell-through rates (what gets sold during the season) is at 60-70%.

Production of fashion items is water, energy and pollution intensive, but a large part of the produced garments are produced so poorly, that they never even make it to a customer.SAIZ enables a fashion brand to fit their products to 2 Million bodies (of their target customers) virtually to prevent products going into mass-production that will not fit and will not be sold.

A huge monetary game changer for the industry, and a big relief for the planet. SAIZ estimates to be able to save 400Mio tonnes of CO2 with data-driven product development in the next 5-years.