Technology to Reduce Wastage in the Fashion Industry
Written By: Gargi Sarma
Introduction:
The fashion industry's rapid expansion has resulted in an alarming increase in environmental waste, spanning from the initial phases of production to the eventual disposal of clothing. As a result, technical advancements have become effective weapons against waste, enabling the sector to adopt sustainable practices and lessen its environmental impact. Numerous technology-driven projects have played a significant role in limiting waste and promoting a more environmentally conscious approach to fashion manufacturing and consumption by incorporating sophisticated solutions at every stage of the fashion supply chain.
The fashion industry is a significant source of waste and pollution in the environment. Just 1% of the industry's annual production of 53 million tons of fibre gets recycled, according to the Ellen MacArthur Foundation. This garbage is disposed of in landfills and incinerators, producing toxic greenhouse gases.
Examples:
Here is a more thorough example of waste in the European and Latin American fashion industries:
Develop
Manufacturing:
Retail
End-of-life
Figure 1
Wastage at Various Fashion Supply Chain Stages:
Figure 2
Figure 2 shows that the fashion supply chain has 15% waste at the design and production stage, 60% waste at the distribution and retail stage, 20% global water usage and 10% microplastics. However, several solutions can be implemented to reduce fashion wastage, including:
Latest Technologies Reducing Wastage in the Fashion Industry:
The fashion industry is a significant source of waste and pollution in the environment. Still, several novel technologies are being developed that can contribute to waste reduction along the entire supply chain.
Design:
Manufacturing:
Retail:
End-of-life:
Figure 3 (Source: Scaling textile recycling in Europe—turning waste into value, McKinsey & Company)
Figure 3 illustrates how these bottlenecks, which keep the circular textile economy from scaling, must be removed for fiber-to-fiber recycling technologies to realize their full potential. These include lowering costs, improving output quality, and expanding their capacity to handle fibre blends. According to our analysis, in 2030, 18–26% of gross textile waste could be recycled from fiber to fiber if these obstacles are removed.
Case Studies:
Here are the most recent case studies on technology that decreases waste in the fashion industry:
Waterless Dyeing Technology Used by Nike:
Nike has created a waterless dyeing method called ColorDry that colors fabric using carbon dioxide rather than water. This method generates less wastewater and can save up to 90% of the water used in traditional dyeing.
Since its implementation in 2015, Nike claims that the ColorDry procedure has saved the company more than 1 billion gallons of water. Nike has been able to cut its greenhouse gas emissions by more than 20% thanks to this process.
AI-driven inventory optimization at H&M:
AI is being used by H&M to maximize its stock levels. This lessens waste and overproduction.
The AI system at H&M forecasts demand for various products by examining past sales data and consumer trends. After that, production goals and inventory distribution to retail locations are determined using this data.
H&M has been able to meet customer demand while reducing inventory levels by 20% thanks to the use of AI. Additionally, the business has been able to cut the percentage of product returns by 15%.
The sustainable pricing model of Reformation:
Reformation is a fashion brand that bases its prices on the cost of labor, materials, shipping, and the production's effect on the environment. Customers are encouraged by this pricing structure to purchase clothing that is ethically and environmentally produced and composed of sustainable materials.
Reformation, for instance, charges more for its recycled polyester dresses than for its traditional polyester dresses. This is because recycled polyester requires higher production costs than regular polyester but has a longer lifespan.
Reformation has lessened its environmental effect thanks to its sustainable pricing strategy. For instance, the company claims that by utilizing recycled polyester in its products, it saves more than 700 million gallons of water annually.
Green Story Uses Data Analytics to Cut Down on Fashion Waste:
Green Story, a fashion brand that uses data to cut waste, recently revealed that, during the previous year, it cut waste in the fashion industry by 20%. The business found and fixed wasteful areas in its supply chain and product design by using data analytics.
The data analytics team at Green Story discovered that there was a 15% overproduction of clothing. By using this data, the team was able to cut waste and modify production levels. The group also discovered that by streamlining its supply chain, the business could cut emissions related to transportation by 10%.
Green Story is also using data to track product usage and reduce premature disposal. The business has created a new app that lets users keep track of how frequently they wear their clothes. The app also offers advice on how to prolong the life of clothing through proper maintenance. Green Story's data-driven approach to sustainability is fostering a more circular fashion industry and lowering waste.
Myntra uses data-driven size recommendations:
The biggest online clothes retailer in India, Myntra, offers a large selection of apparel, accessories, and shoes from both domestic and foreign brands. Fashion returns are one issue Myntra has to deal with. The fashion sector faces considerable challenges due to fashion returns, which can result in substantial waste and lost revenue.
Myntra is leveraging analytics to provide clients with more precise sizing recommendations, which will decrease the number of fashion returns. Myntra gathers information on past purchases, return policies, and client body measurements. A machine learning model that can forecast the ideal size for every consumer is created using this data.
Myntra's data-driven sizing recommendations have allowed it to cut down on fashion returns by 20%. In addition to saving the business millions of money, this has enhanced customer satisfaction.
Zivame Uses Data to Cut Lingerie Industry Waste:
India's top online retailer of innerwear, Zivame, offers a large selection of underwear from both foreign and Indian brands. Waste in the lingerie business is one of the issues Zivame is dealing with. It might be challenging to recycle the delicate materials used to make lingerie. Furthermore, lingerie is frequently thrown away after just a few wears.
Zivame is leveraging data to enhance its manufacturing and product design procedures to cut waste. Zivame gathers information on product quality, customer preferences, and return statistics. More robust and environmentally friendly goods are being developed with the use of this data. To cut waste, Zivame is also utilizing data to enhance its manufacturing procedures.
Zivame has been successful in decreasing waste in the lingerie business by 10% as a result of its data-driven approach to waste reduction. The business has been able to cut costs and lessen its environmental effects as a result.
Conclusion:
Technology is becoming more and more crucial in assisting the fashion industry in lessening its environmental effects. Recycling, resource conservation, and greenhouse gas emissions can all be decreased in the industry by implementing sustainable technologies at every point of the supply chain.
Apart from the aforementioned technologies, there exist several other cutting-edge technologies that hold promise for mitigating waste within the fashion industry. Blockchain technology, for instance, can be used to monitor the flow of materials through the supply chain and guarantee that clothing is made ethically and sustainably. Additionally, custom clothing can be made on demand using 3D printing technology, which can help cut down on waste and overproduction.
The fashion industry can become more ecologically conscious and sustainable by keeping up its investments in and adoption of new technologies.
Data and sources:
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