Circularity technologies help your company to generate business opportunities
AI, Blockchain, Big Data, computer vision…
Circularity technologies are revolutionising markets, turning circularity requirements into business opportunities.
What can circularity technologies help you with?
Assess the risk associated with the use of critical materials.
Generate economic profit at the end of life of your products.
Recover resources that are currently being discarded.
Enabling the repair and maintenance of existing products.
Extract data on the status of your current assets to make decisions.
Design more profitable and recoverable products.
Which circularity technologies can create opportunities for you?
Technologies for circular transition
The WBCSD’s Circular Transition Indicators (CTI) methodology is a quantitative framework that helps companies measure and improve their circularity, providing a common language for decision-making and progress towards the circular economy.
Data Mapping in industrial circularity processes is the process of matching data fields from one source with fields in another, ensuring data integrity and consistency during transformation or transfer. This is a crucial step in ETL and data integration.
Critical materials risk assessment manages reliance on scarce materials, ensuring the resilience and sustainability of the supply chain.
The Bill of Materials (BOM) is a detailed list of raw materials and components for manufacturing a product, which is key to materials recovery in the circular economy.
ESRS (European Sustainability Reporting Standards) is a set of standards to improve resource management and standardise the disclosure of sustainable information in Europe.
Life Cycle Assessment (LCA) software assesses the environmental impacts of a product from the extraction of raw materials to its final disposal, quantifying resource consumption and emissions.
Digital passport technologies
A Digital Product Passport (DPP) is a system that documents the life cycle of a product, providing information on its composition, origin, manufacture, use and recycling.
The “Certificate of Circular Origin” verifies that products and materials come from sources that comply with the principles of the circular economy, guaranteeing sustainability and waste minimisation.
Blockchain is a distributed digital register that guarantees the integrity of information without a centralised entity, which enables traceability and transparency in industrial supply chains.
ETL Extracts, Transforms & Loads data from numerous sources to a destination system for commercial analysis and decision making.
Data Spaces IDS are virtual spaces that allow a secure and standardised exchange of data, ensuring the sovereignty and enabling data-based innovative business models.
Recovery assistance platform
Computer vision uses cameras and algorithms to identify and classify objects, assessing valuable assets for their condition, authenticity and potential for reuse or recycling.
Artificial intelligence assesses the value of resources in industrial assets, identifying patterns and optimising the life cycle for reuse, recycling or recovery.
Robotic Process Automation (RPA) automates repetitive processes in the circular economy, optimising the product life cycle to improve efficiency and reduce waste.
Big Data on products analyses large volumes of data of a product’s life cycle, from its design to its disposal, to obtain information on components, materials and processes.
