If you are a municipal waste processor dealing with massive volumes of mixed fabric waste — this project developed a real scale demonstrator and digital tools that can help reduce textile waste by 80%. This allows for more efficient sorting and higher recovery rates.
Digital and Industrial System to Reduce Textile Waste by 80%
Imagine a giant sorting machine and a digital map that tells every piece of old clothing exactly where it should go to be most useful. Instead of throwing fabric in the trash, this system uses sensors and data to decide if it should be resold, shredded for stuffing, or chemically broken down into raw materials. It is like a GPS for textile waste that ensures nothing valuable is lost.
What needed solving
Current textile production follows a linear model that creates massive waste and loses material value. Companies lack the digital tools and sorting technology to efficiently recover and recycle mixed fabrics.
What was built
A masterplan (Blueprint) for textile ecosystems, predictive models for fabric composition (PES/CO ratios), and a real scale demonstrator for waste routing.
Who needs this
Who can put this to work
If you are a clothing brand dealing with high industrial waste and end-of-life product returns — this project developed predictive models for PES/CO ratios and fiber quality. This helps you recover high-value materials for new production.
If you are a software provider dealing with a lack of visibility in circular material flows — this project developed sensing systems and data-driven solutions. These tools enable the tracking and routing of discarded textiles to the best recycling destination.
Quick answers
What is the cost or price of implementing this system?
Based on available project data, specific pricing for the resulting tools is not provided, though the project received an EU contribution of EUR 12,345,596 for development.
Is this solution tested at an industrial scale?
Yes, the project implements a real scale demonstrator of a circular textile ecosystem to verify the blueprint and technological solutions.
How is the IP or licensing handled for the predictive models?
Based on available project data, the specific licensing terms for the PES/CO ratio and fiber quality models are not mentioned.
How does this integrate with existing waste collection?
The system is designed to work within industrial-urban symbiosis, utilizing sensing systems and digital tools to route different discarded textile flows.
What is the timeline for deployment?
The project period runs from 2022-12-01 to 2026-11-30, indicating that full validation and results will be available by late 2026.
Who built it
The consortium is heavily weighted toward commercial application, with 11 industry partners (55% of the group) and 3 SMEs. This strong industrial presence, combined with 6 research organizations across 10 countries, suggests the outputs are being designed for immediate market integration rather than theoretical study.
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