By using artificial intelligence to predict what types of clothing will be in fashion, manufacturers could produce only what will be sold, thereby limiting the environmental impact of the textile sector.
In Paris, the Fashion Week at his best. Among all the speakers in this parade weekthere are some whose job is to spot upcoming trends. These experts observe the collections, analyze them and estimate what is most likely to be “in fashion” next season. These predictions are then sold to designers and boutiques who take inspiration from them when creating their new pieces. And now, theartificial intelligence gets involved.
More and more AI models are being used to analyze thousands of Pictures, social media posts, research data, sales figures and others. Necessarily faster than humans, these systems identify trends that are statistically most likely to become a reality. Or more pragmatically, clothes that will sell well. If the economic interest is obvious, there is another which arises from it: the interest ecological.
Using artificial intelligence to predict fashion trends could reduce the textile industry’s ecological impact
According to Global Fashion Agenda and McKinsey & Co, the fashion industrye is single-handedly responsible for at least 4% of global CO2 emissions. An alarming figure which could decrease thanks to AI. By knowing what is most likely to sell, manufacturers could focus solely on that and avoid both overproduction and the unsold. Tony Pinville, co-creator of the Heuritech prediction model, explains that currently, “40% of fashion products in the world are not sold at full price and 25% are not sold at all”.
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Artificial intelligence does not do everything in this area where affect and feeling play an important role. Human experts work together with automated analysis systems to nuance the results. Let’s also not forget that AI itself sometimes has a significant environmental impact. It should not get worse to allow that of the textile industry to decrease.
Source: The Guardian