Project cooperationUpdated on 11 April 2025
Textile post consumer waste
About
With the European Green Deal and Extended Producer Responsibility (EPR) regulations, brands are now responsible not only for production but also for the full lifecycle of their products.
Loopifyr provides an integrated system that makes waste management transparent, traceable, and sustainable. By preventing textile waste from ending up in landfills, we help brands transition towards a truly circular fashion ecosystem.
Stage
- Already defined
Topic
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
- Enabling technologies | Network design of reverse supply chains
Type
- Consortium seeks Partners
Organisation
Similar opportunities
Project cooperation
AI-Driven Circular Fashion Digital Paltform: MODA App
- Early idea
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
- Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Murat Demir
Asst. prof.dr at Dokuz Eylül University Textile Engineering
Izmir, Türkiye
Project cooperation
- Early idea
- Already defined
- Consortium seeks Partners
- Enabling technologies | Robotic / handling - and assistance systems
- Enabling technologies | (Advanced) Materials and additive manufacturing
- 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
Athina Kotrozou
Student
Stuttgart, Germany
Project cooperation
Implementing Low-Cost Autonomous AI Machines for Recycling and Reusables in Cities
- Already defined
- Expertise offered
- Consortium seeks Partners
- Data technologies | Design of an adaptable Digital Product Pass:
- Enabling technologies | Robotic / handling - and assistance systems
- 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
- Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
Eric Michel
Chief Technology Officer at Oysterable co., ltd.
Seoul, South Korea