Project cooperationUpdated on 7 July 2025
Looking for partners
About
The aim of the project is to develop a digital platform solution for a deposit-return system and a manufacturer- and company-independent digital take-back and sorting system for used textiles. This solution will enable textiles that are no longer suitable for second use to be redirected locally into a standardized fiber recycling loop.
The platform will be based on a Digital Twin of the recycling landscape, enhanced by an AI-driven decision system that selects the most suitable recycling route depending on:
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the condition of the discarded textile,
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the geographic distance,
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and the capabilities of nearby waste management or recycling operators.
This digital infrastructure aims to strengthen textile circularity at the EU level, addressing systemic challenges in textile waste management and enabling cross-border interoperability.
Stage
- Early idea
Topic
- Data technologies | Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Data technologies | (AI based) process and system control technologies
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
- Enabling technologies | Industry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chains
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
Type
- Consortium seeks Partners
- Expertise offered
Organisation
Similar opportunities
Project cooperation
- Early idea
- Data technologies | (AI based) Material and Product Design, Decomposition and Separation
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Rebecca Pahmeyer
Research Scientist at Fraunhofer IPA
Stuttgart, Germany
Project cooperation
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Aysegul gündüz
Founder at Loopifyr
İstanbul, Türkiye
Expertise
Seeking Consortium Leader for HORIZON-CL4-INDUSTRY-2025-01-MATERIALS-31 call
- (AI based) recognition systems
- Manufacturing and machine learning
- Life cycle assessment / Product life cycle management
İSMAİL İVEDİ
R&D Chief at Roteks Tekstil A.Ş.
İZMİR, Türkiye