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Project cooperationUpdated on 11 July 2025

AI-Driven Circular Fashion Digital Paltform: MODA App

Murat Demir

Asst. prof.dr at Dokuz Eylül University Textile Engineering

Izmir, Türkiye

About

At ModaApp, we aim to build a new digital platform that matches people with similar body profiles using advanced AI-powered algorithms. This platform will enable users to sell, rent, or exchange clothes that genuinely fit—reducing returns and promoting a more personal, circular, and sustainable fashion experience.

Key Features

- Body-Based Matching Algorithm: Users are matched based on measurements to ensure fit, reducing return rates and waste.

- Reuse-First User Journey: All listings are second-hand. Reuse is the core model, not a side feature.

- Mobile-First, Consumer-Centric: Designed for intuitive reuse and traceability for everyday users.

- Optional DPP Data Integration: Ability to display DPP tags and metadata when available, creating digital transparency.

Stage

  • Early idea

Topic

  • Data technologies | (AI based) recognition systems (e.g. image recognition) to evaluate materials, components and products and determine the best use paths
  • 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
  • Enabling technologies | Network design of reverse supply chains

Type

  • Consortium seeks Partners

Attached files

Organisation

Similar opportunities

  • Project cooperation

    Global Digital Product Passport Consortium

    • Early idea
    • 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 | Tools and solutions addressing challenges emerging from product focused regulations (such as the ESPR)

    Andres Alcayaga

    Independent Consultant & Researcher at Johannes Kepler University Linz

    Dusseldorf, Germany

  • 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

    Circular product strategies via ultrasonic separation, automated condition analysis and lifecycle assessment of high-value components

    • 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