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AI driving a sustainable fashion industry

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AI assisting the fashion industry

The fashion industry, one of the largest and most influential sectors globally, is at a crossroads. With its enormous environmental footprint, there is an urgent need for sustainable transformation.

Recent research and technological advancements highlight how artificial intelligence (AI) can revolutionize the industry by improving supply chain efficiencies and reducing carbon emissions.

Consumer behavior and policy measures are crucial in addressing the fast fashion waste crisis, particularly in Australia, where per capita consumption of textiles has reached unprecedented levels.

Future of Fashion: Combining AI, Sustainability, and Consumer Responsibility

The collective efforts of businesses, consumers, and policymakers are crucial in driving the fashion industry towards a more sustainable future, reducing its environmental footprint, and promoting responsible consumption.

The fashion industry stands at a critical juncture. The adoption of AI technology, coupled with effective policy measures and increased consumer responsibility, can pave the way for a more sustainable and ethical industry.

Fast Fashion: The Waste Crisis

Australia has recently surpassed the United States as the world’s biggest consumer of textiles per capita, fueling a fast fashion waste crisis. Australians purchase an average of 56 new clothing items annually, more than the US (53), UK (33), and China (30).

Despite this high consumption rate, the average value per clothing item in Australia is just AUD $13, significantly lower than in other countries, leading to a massive accumulation of low-cost, low-quality garments.

Over 200,000 tonnes of clothing end up in Australian landfills each year, the equivalent weight of almost four Sydney Harbour Bridges. This alarming trend calls for immediate action to curb waste and promote sustainable practices.

The Australia Institute suggests several policy measures to address this crisis, including implementing a French-style fast fashion tax, banning the export of textile waste within five years, offering government-funded discounts for garment repairs, investing federally in developing an Australian circular textiles industry, and increasing support for community op shops and recycling initiatives.

Nina Gbor, Circular Economy & Waste Program Director at the Australia Institute, emphasized the need to penalize brands that mass-produce cheap and poor-quality clothing.

“We need to drastically reduce waste at the source by penalising brands mass-producing incredibly cheap and poor quality clothing that is often worn just a handful of times or never sells and goes straight to the tip,” she said.

AI-Powered Climate Solutions: Reducing Emissions

Recent research from the UNSW Institute for Climate Risk & Response underscores the potential of AI to reduce the carbon footprint of the fast fashion industry.

The study, “Unleashing the Power of Artificial Intelligence for Climate Action in Industrial Markets,” co-authored by Professor Shahriar Akter and Professor David Grant, shows that AI-driven technologies can significantly advance environmental and market performance.

“Due to AI’s unique capacity to collect, integrate, and interpret big data sets, our proposed AI framework provides a data-driven approach to address climate risks, focusing on the environment, infrastructure, and market in an actionable and systematic manner,” explained Professor Akter.

The study found that AI-powered climate service solutions, such as big data and machine learning, can reduce routine and repetitive tasks like emission measurement, carbon footprint calculation, risk factor identification, demand forecasting to reduce waste, and climate education.

These innovations can enable firms to adopt practices that reduce environmental impact while improving energy and material efficiency.

Emissions from the global fast fashion industry are projected to increase by 60 percent by 2030.

Professor Akter emphasized the dual benefits of AI-powered climate service innovation, stating, “AI-powered climate service innovation can improve environmental performance in terms of energy efficiency, reduction of wastage, optimum consumption of natural resources, and sustainable eco-design. An improved environmental performance can also enhance market performance by enabling firms to access new markets, secure new sales leads, and generate more revenues.”

Consumer Responsibility and Policy Measures

AI assisting the fashion industry
AI assisting the Fashion industry

Consumer behavior plays a critical role in the sustainability of the fashion industry. Australia Institute polling reveals that nearly two-thirds (63%) of Australians are concerned about the environmental impact of textile waste.

71% believe that businesses should be responsible for eliminating this waste, followed by consumers (57%) and the government (54%). However, fewer than half of the respondents could identify petroleum as the source of polyester, and only 27% knew that more than half of the clothes sold in Australia are made from plastic.

Gbor pointed out the broader environmental impact of fast fashion, noting that many items end up in landfills or are dumped in countries in the Global South, contributing to pollution and emissions.

She suggested that the Federal Government could redirect profits from companies like Shein and Temu, which are expected to make over $2 billion in sales this year combined, to fund domestic recycling and support the circular textiles industry.

The Federal Government’s proposed 4 cents per garment levy under its Seamless scheme to cut clothing waste and fund domestic recycling initiatives is a step in the right direction. However, Gbor argued that the levy should be increased to at least 50 cents per item to effectively change brand behavior.

AI: A Game-Changer for Sustainable Fashion

The integration of AI in the fashion industry promises to enhance sustainability significantly. Azura Fashion Group, a leader in sustainable and circular fashion tech, recently launched an innovative AI model that optimizes the circular fashion supply chain.

This AI-driven technology automates the ingestion and processing of product data, generates enriched product descriptions, and ensures seamless integration across global marketplaces.

“At Azura, we are committed to driving the fashion industry towards a more sustainable future through cutting-edge technology,” said Samuel Wood, CEO of Azura Fashion Group.

“Our AI model not only addresses the inefficiencies in the supply chain but also empowers brands to embrace circularity, reducing waste and promoting responsible fashion consumption.”

Azura’s platform supports the resale of off-season, end-of-line, and pre-loved fashion items across 55 global marketplaces, directly combating the issue of clothing waste.

The platform’s automated data transformation processes ensure that raw supplier data is converted into market-ready information, meeting the varied standards of global marketplaces. This includes sophisticated ETL processes, advanced image processing, and AI-driven product attribute enrichment.

Enhanced product listings are another significant advantage, with the AI generating detailed product descriptions and translating them into multiple languages, facilitating the listing of fashion items across 17 countries and reaching over 100 million customers.

Azura’s zero-inventory approach and focus on reselling pre-loved items significantly minimize waste, reducing the fashion industry’s environmental footprint.

The Way Forward

The future of the fashion industry lies in the successful integration of AI, sustainable practices, and responsible consumer behavior. AI technology, as demonstrated by Azura Fashion Group, can revolutionize supply chains, reduce waste, and promote circularity.

At the same time, policy measures and consumer awareness are essential in tackling the fast fashion waste crisis, particularly in high-consumption countries like Australia.

By leveraging AI-powered climate service innovations, the industry can improve both environmental and market performance, ensuring long-term sustainability and profitability.

As the world’s largest consumer of textiles per capita, Australia has a unique opportunity to lead by example and implement changes that could significantly reduce the environmental impact of fast fashion on a global scale.

Links

Australia Institute’s report Textile Waste in Australia (pdf)

Unleashing the power of artificial intelligence for climate action in industrial markets

For more information, visit Azura’s website.

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