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Regioinvent is a novel, open-source Python framework designed to work seamlessly with Brightway to unlock the full potential of regionalization within the ecoinvent database. The tool systematically generates thousands of contextualized activity datasets by adapting key local parameters, such as electricity mixes, heat production, and waste treatment, to specific national contexts. This allows for the automated creation of localized processes, such as country-specific "steel production" for every geography globally.

To further refine the granularity of these supply chains, Regioinvent integrates ecoinvent with the BACI database (which tracks international bilateral trade flows) along with production data from various sources. This connection enables the automated construction of consumption markets for all ecoinvent commodities across all relevant countries (e.g., a "consumption market for passenger cars" specifically describing the origin of cars purchased in Denmark). These markets are dynamically linked to the previously created local production processes, such as car manufacturing in Denmark, utilize the corresponding regionalized inputs, e.g., the Danish consumption market for steel or the Danish consumption market for tires.

Finally, the tool spatializes all relevant elementary flows, connecting them to three comprehensive, fully regionalized LCIA methods: IMPACT World+, ReCiPe 2016, and Environmental Footprint (EF).

By replacing generic global averages within ecoinvent with high-resolution, trade-linked supply chains, as well as consistently relying on regionalized characterization factors, Regioinvent provides a more realistic representation of global production systems and their potential environmental impacts, significantly enhancing the accuracy and reliability of LCA results.