{"id":1484,"date":"2024-07-02T08:00:00","date_gmt":"2024-07-02T08:00:00","guid":{"rendered":"https:\/\/maexportsrl.com\/?p=1484"},"modified":"2024-06-26T12:15:56","modified_gmt":"2024-06-26T12:15:56","slug":"artificial-intelligence-sustainable-fashion","status":"publish","type":"post","link":"https:\/\/maexportsrl.com\/en\/artificial-intelligence-sustainable-fashion\/","title":{"rendered":"Artificial intelligence for sustainable fashion"},"content":{"rendered":"\n

Now that there are readily accessible generative AI models, the discussion on the topic of artificial intelligence has expanded to the general public, and there is a growing awareness of how much AI tools<\/strong> are already very much present and pervasive<\/strong> in numerous fields. This means that almost inevitably artificial intelligence<\/strong> will play an increasingly significant role also in the fashion world<\/strong>. <\/p>\n\n

As much as many people are concerned about the spread of AI tools, their use is not to be demonized because it can have extremely beneficial implications<\/strong>. For example, let’s see how artificial intelligence can help make the fashion industry more sustainable<\/strong>. <\/p>\n\n

AI tools for more sustainable fashion<\/h2>\n\n

1 Optimize collections and avoid overproduction<\/h3>\n\n

Generative AI-based models are able to aggregate and examine<\/strong> large amounts of unstructured data<\/strong> and return relevant information<\/strong>. The application of such tools by fashion manufacturing brands allows them to analyse how the public feels<\/strong> regarding the latest trends<\/strong> and target new collections<\/strong> to avoid overproduction<\/strong> that fuels the problem of unsold stock<\/strong> and textile waste<\/strong>. <\/p>\n\n

2 Reduce the environmental footprint of logistics<\/h3>\n\n

The use of AI technologies reduces the need to try on garments in person. Such tools simulate how clothing and accessories look once they are put on, enabling digital fittings<\/strong>. On the one hand, this improves the online shopping experience, while on the other, it minimizes the risk of making wrong purchases<\/strong> in terms of size and fit. This will mean fewer returns<\/strong> and the lowering of the environmental footprint<\/strong> due to return logistics<\/strong>. <\/p>\n\n

3 Solution to the problem of overconsumption<\/h3>\n\n

People’s closets are full of duplicate or never-worn items. This is because impulse purchases<\/strong> are inaccurate<\/strong>: consumers often end up buying items they already own and don’t remember having, or items they will not use because they realize they don’t like them as much as they thought they did. Again, artificial intelligence can come to the rescue for more sustainable fashion. <\/p>\n\n