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Project cooperationUpdated on 18 July 2025

AI-powered platform for take-back, refurbishment, branded resale

Andrea Schneller

Co-Founder and CEO at koorvi

Munich, Germany

About

We are developing a digital platform that enables manufacturers and retailers to create profitable circular business models through take-back, refurbishment, and branded resale. The platform will leverage AI-based decision support and automations, use data ecosystems with API integration, and provide information for Digital Product Passports (DPP).

We are looking for partners with durable, high-quality products who want to pilot circular models to build customer loyalty, capture value from second-life markets, and reduce emissions. Ideally, partners have first experience with circularity or DPP.

Industries: textiles, kids, electronics, furniture, and machinery

Stage

  • Already defined

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 | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across systems
  • Data technologies | (AI based) process and system control technologies
  • Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
  • Enabling technologies | Network design of reverse supply chains

Type

  • Consortium seeks Partners
  • Expertise offered

Organisation

koorvi

Start-Up

Munich, Germany

Similar opportunities

  • Project cooperation

    Circular RUL

    • Already defined
    • Consortium seeks Partners
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | Life cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product Passport
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • 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.

    Diego Galar

    Professor at Luleå University of Technology-Division of Operation and Maintenance Engineering

    Lulea, Sweden

  • Project cooperation

    Waste glass recycling.

    • Already defined
    • Consortium seeks Partners
    • Data technologies | Simulation models and predictive analytics to assess the scalability of circular processes across industries
    • 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.

    Alexander Todorov

    CEO at ML Trade

    Sofia, Bulgaria

  • Project cooperation

    Digital Product Passport for Circular Economy

    • Already defined
    • Expertise offered
    • Consortium seeks Partners
    • Data technologies | Assistance and Expert systems
    • Data technologies | Design of an adaptable Digital Product Pass:
    • Enabling technologies | (Advanced) Materials and additive manufacturing
    • Data technologies | (AI based) Material and Product Design, Decomposition and Separation
    • Data technologies | Algorithm that shows the (positive) impact of a Circular Economy process or Circular Economy product
    • 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
    • Enabling technologies | AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled components
    • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
    • 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.
    • Enabling technologies | Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)

    Ralph Weissnegger

    Director Innovation & Funding at CISC Semiconductor GmbH

    Klagenfurt, Austria