Challenge: Attractiveness and acceptance of electric vehicles crucially depends on a public, accessible and exhaustive charging infrastructure.
However, the implementation and maintenance of such infrastructure is characterized by high cost and low efficiency. With an average utilization
rate of only around 4%, the performance depends on finding the optimal location. A lack of previous experience often complicates the identification
of these ideal locations.
Solution: The Geo Prediction Engine of Geospin reliably predicts the expected utilizations of charging stations – across all of Germany.
Choosing the optimal location is thus straight-forward, for instance by maximizing the utilization rates of your charging infrastructure.
The model was trained on around 1,4 million charging processes across 6.000 charging points in German cities and rural areas,
exploiting over 800 additional geo-data sources.
The basis for our analysis is a geographic area of interest. You do not need to provide any data.
Our Geo Prediction Engine calculates the expected utilization rate of charging infrastructure using 800 features reflecting the spatial environment.
Our software identifies the optimal locations for a demand-driven charging infrastructure.
„The analysis for charging infrastructure offers an objective decision-support for the location selection of electric charging stations. As energy providers, we can thus provide charging stations where they are at the highest demand.”
Benjamin Hintz, Production Lead E-Mobility, WEMAG AG
„With the help of Geospin, we can root our location decisions on scientific grounds and identify high-potential locations for further charging stations.“
Andreas Peters, Efficiency/mobility services, house connection management, enwag energie- und wassergesellschaft mbh
“Geospin’s analysis for charging infrastructure provides solid arguments to justify the choice of location of electric charging stations to third parties”.
Christian Fröhlich, Consultant Marketing and Sales Support, Würzburger Versorgungs- und Verkehrs-GmbH
“The approach of Geospin is convincing and variously applicable.”
Marcel Hebeda, Head of Business Development and Sales, Stadtwerke Greven GmbH
„Currently, charging infrastructure is barely utilized, so every additional percentage point of usage is crucial!“
Sergej Stimeier, Consultant Corporate Strategy, ESWE Versorgungs AG
“Working with Geospin is straightforward and fast. The analysis contributes to an acceleration of our processes.”
Jörg Fritz, Managing Director of Stadtwerke Homburg GmbH