Predictive Analytics and Artificial Intelligence for Greener Product Design.

Artificial intelligence is successfully used to efficiently collect data and analyze product development options, taking into account their environmental impact throughout the entire life cycle. During product design and value chain planning, AI-based predictive analytics can consider many different variants of the product being developed and its impact on the environment. Automatic collection and processing of digitized data from various production and logistics processes contributes to the design of greener products that better contribute to the achievement of sustainable development goals. Advanced data analytics and machine learning algorithms enable AI to analyze huge volumes of data, speeding up the product ecodesign and optimizing its performance. The simulation of various options and predictive analytics enable more efficient decision-making, analyze product lifecycle and reduce the time to market for sustainable products. Additionally, AI-based tools (e.g. Product Digital Twin) provide the potential to enhance resource efficiency, minimize waste, and lower overall environmental footprints in the whole product life cycle. In this article, we would like to present the possibilities of using predictive analytics and artificial intelligence in the product ecodesign Examples of selected non-food products will demonstrate the improvement of their sustainable production and application through the use of AI tools.