RRReMaker project’s key exploitable results methodology: a framework for AI-driven circular production

The shift towards a circular economy is essential as environmental and resource challenges continue to grow. This paper presents an AI-based platform that addresses these challenges by connecting digital manufacturers, traditional crafts, and green companies enabling the design and production of sustainable, handcrafted, and reconditioned products using recyclable materials. The research is based on the RRREMAKER project and the focus will be on the project’s exploitable results that have the most potential for commercialisation, dissemination or future research. The project builds on prior research and knowledge in circular economy by integrating circular design and resource techniques for innovative AI solutions and appling AI and circular practices for efficient product design. The methodology for identifying the Key Exploitable Results (KERs) of the project involved mapping the project objectives to potential exploitable outcomes, engaging stakeholders, market analysis, developing evaluation criteria and exploitation plans. The results of the research consist of the most significant outcomes that such a platform can provide, the status, the maturity level and the main target market and potential stakeholders for each outcome, and the expected economic, environmental and social benefits. This study provides useful insights for scholars and practitioners in sustainable design and circular economy, demonstrating how AI-powered platforms may integrate digital and traditional craftsmanship to encourage eco-design and scalable waste reduction strategies. The paper introduces an innovative AI-powered platform that links digital and traditional design techniques to enable circular economy-friendly production. Its unique contribution is the use of modern technology to optimise material utilisation and minimise waste, resulting in a scalable solution for environmentally responsible manufacturing.