Vestiaire Collective bans H&M, Zara in fight against fashion waste

Ahead of Black Friday Vestiaire Collective’s founders had removed 30 fast fashion brands from its pre-loved platform, including Swedish fashion retailer H&M, fashion conglomerate Gap Inc, Spanish fashion brand Mango, Japanese fashion brand Uniqlo, and Inditex’s Zara.

Vestiaire Collective’s co-founders shared a letter on their website that explains the three-year plan to progressively remove fast fashion brands from the platform started on Black Friday in 2022 as this is the date “where consumption will skyrocket, especially of fast fashion.”

The founders continued: “Every year, the fashion industry produces 100 billion garments. As we consumer more and wear less, 92 million tons of textile waste is discarded on a yearly basis – most of it coming from fast fashion brands. This is enough to fill the Empire State Building every day, and has a major environmental and social impact.”

They also urged shoppers ahead of Black Friday to join Vestiaire’s ‘Think first, buy second’ movement and pledge to completely ban fast fashion in their own wardrobes or commit to stop buying fast fashion for the rest of the

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‘You’ve got to be data-driven’: the fashion forecasters use AI to predict the next trend | Artificial intelligence (AI)

It’s Paris fashion week and the streets of the city are filled with celebrities, designers, models and journalists. Among the crowds, eagle-eyed experts are taking careful notes. These are the fashion industry’s trend forecasters. Their job is to get a sense of the colours, cuts, fabrics and patterns in the designers’ new collections, in the hope of detecting emerging trends.

Their notes will quickly be added to curated “trend forecasts”, which will be sold to designers and high street retailers, who will use them to inspire new pieces and decide what to stock next season – think of the “blue sweater” speech in The Devil Wears Prada, where Meryl Streep’s character scathingly explains this process to her naive assistant Andy (played by Anne Hathaway). Traditionally, fashion forecasters have relied solely on these qualitative methods, observing runway shows, alongside street fashion and pop culture, to make predictions.

But as artificial intelligence technologies have become increasingly powerful in the last decade, forecasting agencies are now turning to quantitative results generated by machine learning for help. These AI tools can detect patterns

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Week in review: Clothing overproduction, overconsumption and can tech fix it?

The pursuit of “material wealth” has a complex relationship with overconsumption, especially clothing. And we live in a society where consumers are highly influenced by societal pressure and advertising; where the idea of ​​having everything irrespective of need has led to a wasteful consumption culture.

I understand overconsumption through the vicious loop set up by the fast fashion industry. The rapid production of cheap clothing that is advertised as seasonal ranges and must-haves by brands encourages people to get their hands on everything. This idea of ​​staying “in-trend” leads to mindless consumption of clothing.

But consumers can’t be blamed alone since overproduction is as much a part of the problem.

It doesn’t come as a surprise that the fashion industry is one of the most polluting, with over 100 billion garments produced each year and 92 million tonnes ending up in landfills based on the data shared by

The Fashion Transparency Index 2023 explains that mitigating fashion waste remains the elephant in the room with a 3% increase in fashion brands not disclosing their annual production volumes (88% in 2023 compared to 85% in 2022).

The crux, though, is that both overproduction and overconsumption

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