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Project cooperationUpdated on 11 April 2025

Textile post consumer waste

Aysegul gündüz

Founder at Loopifyr

İstanbul, Türkiye

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

Loopifyr

Company (SME)

İstanbul, Türkiye

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

    Con(Knit)uous Rubble

    • 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