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AI can enhance and accelerate the development of new products, components, and materials fit for a circular economy through iterative machine-learning-assisted design processes that allow for rapid prototyping and testing.
AI can help build and improve the reverse logistics infrastructure required to ‘close the loop’ on products and materials by improving the processes to sort and disassemble products, remanufacture components, and recycle materials.
AI can magnify the competitive advantage of business models, by processing historical data from products and users. AI impacts product circulation and asset utilisation through demand prediction, predictive maintenance, and smart inventory management.
