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Sorting for Circularity Rewear

Sorting for Circularity Rewear

Fashion for Good expanded its Sorting for Circularity framework to address the challenge of sorting for rewearable textiles to understand better their resale potential and the demand across the second-hand market. We launched an 18-month initiative in January 2024 in collaboration with Circle Economy, brand partners adidas, Inditex, Levi Strauss & Co. and Zalando to enhance the sorting of rewearable textiles using innovative AI technologies. The project seeks to improve garment recovery for resale, promoting circularity in the fashion industry.

Problem Statement

Global textile production and consumption have doubled over the past 15 years, while the number of times a garment is worn has dropped by 40%, averaging only seven uses before it is tossed away. In the EU, the amount of used textiles exported has tripled over the last two decades from slightly over 550,000 tonnes in 2000 to almost 1.7 million tonnes in 2019, and their fate is highly uncertain. Many of these garments receive the designation of “fit for reuse” and are later sold to second-hand stores across Europe or export markets like Africa or Asia. However, due to the sheer volume of these exported textiles and the lack of understanding of demand and criteria for resale across the industry, many ultimately end up in waste streams, landfills or incinerated. 

As legislative changes loom in the EU, including Extended Producer Responsibility (EPR) schemes mandating accountability on garments placed on the market, and the Waste Shipment Regulation imposing stricter restrictions on textile exports outside EU borders, the volume of collected and exported textiles will continue to increase, underscoring the urgency for comprehensive solutions.

Executive Summary

While current Near Infrared (NIR) technology can determine garment composition, the task of assessing re-wearability is largely manual. 

The project focuses on testing automated sorting technologies using machine learning and artificial intelligence (AI) to collect product information — such as colour, style, garment type, and quality. This will enable sorters and brands to make better decisions and sort efficiently based on product data and criteria from local, European, and export resale market requirements, thus optimising the flow of textiles to achieve their highest value potential. 

To ensure accuracy and representation in capturing data on the flow of textiles within the EU and export markets, the project is focusing on specific geographical regions: Lithuania (Nordic/Baltic), the Netherlands (Western), Poland (Central-Eastern), and Spain (Southern Europe).

The findings will be shared in a report with a supporting business case and implementation roadmap to inform investment decisions in infrastructure, Circular Business Models (CBM) and repair centres. 

The Rewear Project builds on Fashion for Good’s Sorting for Circularity framework initiated in 2021 and subsequently launched in Europe, India and the United States harmonising the collection, sorting and recycling industries in order to advance textile-to-textile recycling technologies and the resale industry.

Goals of the Project

  • Explore the automation of sorting processes for rewearable textiles.

  • Develop a framework for scalable solutions.

  • Facilitate data-driven insights to inform industry and governmental action.

Stakeholders Involved

Relevant Resources

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