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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.

CORDIS · observation · Publication date unknown

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 bo

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recordType
award
status
CLOSED
region
EU
value
75000
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.