Signal: Tweets of the week – GFA, Euratex, Better Cotton, Carbios

Many of the top Tweets from the apparel sector this week centred around sustainability and circularity, coming from the Global Fashion Agenda (GFA), Euratex, Better Cotton and Carbios.

Hannah Abdulla October 09 2023

One of the most popular tweets was from the Global Fashion Agenda which held its Global Fashion Summit in Boston on 27 September. The tweet highlighted a session that explored how brands can design, measure and get the most of innovative business models like resale.

The session stemmed from a new report by resale platform provider Trove and software provider Worldly.

The researchers modelled five apparel brand archetypes and calculated the carbon footprint of 38 products, concluding that by 2040, resale initiatives have the potential to lower annual carbon emissions for these brands by 15-16%.

Another top Tweet came from Euratex announcing the launch of the ReHubs project.

ReHubs Europe aims to collectively recycle 2.5m tonnes of textile waste by the year 2030 necessitating the implementation of up to 250 industrial projects across Europe, each focused on different aspects of fibre-to-fibre recycling.

Better Cotton shared updates from the WCD 2023 event noting the complexity of the cotton supply chain and that it is not currently set up for traceability.

It also noted in its annual report, ahead of the launch of its traceability solution,  22% of global cotton production was Better Cotton in the 2021-2022 season.

And biochemistry researcher, Carbios, announced the inauguration of its textile preparation line at its demonstration plant in France, to turn textile waste from used garments into raw materials suitable for enzymatic recycling.

The biochemistry researcher has developed a highly selective enzyme capable of depolymerising polyester in textile material, which is a challenging task due to the complex nature of textiles.

Our signals coverage is powered by GlobalData’s Thematic Engine, which tags millions of data items across six alternative datasets — patents, jobs, deals, company filings, social media mentions and news — to themes, sectors and companies. These signals enhance our predictive capabilities, helping us to identify the most disruptive threats across each of the sectors we cover and the companies best placed to succeed.

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