Imagine knowing exactly why people keep buying new things instead of repairing or recycling them. This project uses AI to predict which nudges actually make people change their shopping habits. It's like a GPS for businesses to guide customers from 'knowing it's better' to actually doing it in real life.
Companies struggle to convert consumer awareness of sustainability into actual purchasing behavior. This gap prevents the scaling of circular business models in electronics, packaging, mobility, and textiles.
An AI-powered impact forecasting tool, replication toolkits, training programmes, and governance playbooks for circular consumption.
If you are an electronics manufacturer dealing with low return rates for recycling programs — this project developed AI-powered behavioral interventions that increase the likelihood of customers choosing circular options. This helps you recover more materials and reduce waste.
If you are a textile brand dealing with customers who prefer fast fashion over sustainable alternatives — this project developed replication toolkits and evidence-based pathways that shift consumer habits. This allows you to scale your sustainable product lines more effectively.
If you are a packaging provider dealing with low adoption of reusable containers — this project developed an AI tool to forecast the impact of behavioral measures. This ensures you implement only the most promising strategies to increase reuse rates.
Based on available project data, no pricing or cost information is provided as the project is in the implementation phase.
Yes, the project focuses on large-scale adoption through replication toolkits, training programmes, and dedicated hubs across 9 countries.
Based on available project data, specific licensing terms are not listed, but the project delivers replication toolkits and governance playbooks for wide uptake.
Yes, the project specifically creates governance playbooks and pathways aligned with EU policies to drive the transition to a circular economy.
The project runs from 2026-09-01 to 2029-08-31, meaning results will be finalized by late 2029.
The consortium is heavily industry-weighted with a 52% industry ratio, comprising 11 industry partners and 8 SMEs. This strong commercial presence, combined with 3 universities and 3 research centers across 9 countries, suggests the project is designed for practical market application rather than just theoretical research.
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