The partnership between ecoinvent and Makersite is a powerful combination of LCA expertise and cutting-edge digital technology. Leveraging the combined strengths of both organizations provides a comprehensive solution for sustainable product development. ecoinvent’s database provides inventory data for complete supply chains, while Makersite’s platform enables teams to collaborate, monitor and optimize product sustainability, compliance, and cost in real time.
To highlight how ecoinvent data is used across Makersite’s products by their customers, we spoke with Fabian Hassel, Makersite’s VP of Services.
What is Makersite?
Makersite is a cloud-based AI software solution combining more than 140 external data sources and automatically generating digital twins of every product and process used by an organization and its value chain. The digital twins provide granular insights across more than 40 criteria, including GHG emissions, supply risk, costs, health & safety, and regulatory compliance. With that, product development, procurement, and experts can analyze products, suppliers, and materials across the dimensions of sustainability, cost, risk, and regulations.
Founded in 2018 by CEO Neil D’Souza, the Stuttgart-based company has a team of over 50 employees across Europe, the United States, and Asia and a customer portfolio that includes major companies such as Microsoft, Schaeffler, Cummins, and Vestas.
How do you use databases like ecoinvent in your platform?
Databases like ecoinvent are incredibly worthwhile for our customers. The database allows Makersite to adapt every dataset to our customers in detail. The important thing really is that there is a possibility to customize the generic database. So, for example, instead of mapping a generic electronic data set, we can take the ecoinvent data and modify it to our clients’ supply chain situation set in a fully automated fashion. This changes the value of result precision and risk evaluation drastically.
There are databases that give you similar data sets as ecoinvent, but they’re different in that they show you opaque results. Let’s take steel as an example. In ecoinvent you see a steel dataset and how it is produced. With other databases you can only see the result. There’s no information about the process that happened to make the steel. Without this step, you lose the possibility to customize the data to the customer’s situation.
What role does Makersite’s AI play here?
ecoinvent alone is a generic and transparent database. Our software and AI play a critical role in bringing that data together with customer data. Our technology automatically customizes data from ecoinvent and 140 other databases onto the customer’s product and supply chain data. We can thereby ensure that the result that our customers use has the highest precision possible – not only for one product but for the whole product range of customers.
