Using a KERN***-based*** AI model to forecast the fashion industry, reducing mass overproduction.


Executive Summary:

<aside> 💡 Problem: Due to an influx of overproduction in the fashion industry, over 50 billion garments annually, go unsold, contributing to over 10% global carbon emissions. If unaddressed, this figure is expected to soar 50% by 2030.

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In the Fashion Industry, 30% of clothing is unsold, leading to billions in waste.

In recent years, the textile and fashion industries have come under increased scrutiny for their substantial contribution to textile waste through overproduction, and therefore their intrinsic link to global carbon emissions.

<aside> 👔 The fashion industry is producing an excess of 50 billion garments annually, and addressing this issue has the potential to yield gigaton-scale carbon reductions, representing an untapped opportunity in the fight against climate change.

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A waste of 92 million tonnes; each year, and it’s on the rise☝️

This overproduction issue is caused by the industry's inability to accurately predict and adjust its production rates in line with actual consumer demand. Despite various initiatives addressing overconsumption, little has been done to efficiently recycle such clothing volumes.


85% of recycled items end up in a landfill or burnt anyway