Updated on 11 July 2025
AI-Driven Circular Fashion Digital Paltform: MODA App
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
- 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
- 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
Reverse value chain for circular electronics management - supported by postal networks
- Early idea
- Already defined
- Consortium seeks Partners
- Enabling technologies | Network design of reverse supply chains
- Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
- Data technologies | Interoperability of CVC-relevant data ecosystems, quality assurance and traceability across 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
- Enabling technologies | Reverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)
- 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
Koeun Lee
Circular economy and value chains consultant at Universal Postal Union (UPU)
London, United Kingdom