Our customer needed a solution to analyze the frequency of use of car-sharing vehicles in Berlin, predict city-wide energy loads based on mobility data, and determine the optimal number of charging stations for an electric vehicle fleet.
We analysed market needs, customer problems and developed a business model.
Defining high-priority functions in collaboration with stakeholders and creating wireframes
Design of a user-friendly interface, and development of the backend.
Introduction of the MVPs with pilot customers whose feedback was used for product refinement and function validation.
Wir analysierten Marktbedürfnisse, Kundenprobleme und entwickelten ein Geschäftsmodell.
Definition von High-Priority Funktionen in Zusammenarbeit mit Stakeholdern und Erstellung von Wireframes
Design einer benutzerfreundlichen Oberfläche, und Entwicklung des Backends.
Einführung des MVPs mit Pilotkunden, deren Feedback zur Produktverfeinerung und Funktionsvalidierung genutzt wurde.
User and stakeholder research through the use of personas, user journey maps, and interviews.
Definition of value creation, business model and planning.
Defining the feature set for the MVP, specifying the functionality, and collecting feedback
Technical feasibility, cost assessment and implementation planning
Conducting interviews with experts to identify pain points in manual workflows
Design of the first prototypes to validate the concept
Conducting interviews to collect feedback and identify issues
Develop an MVP and publish it for the first user to collect feedback
Our customer needed a solution to analyze the frequency of use of car-sharing vehicles in Berlin, predict city-wide energy loads based on mobility data, and determine the optimal number of charging stations for an electric vehicle fleet.
We developed an analysis platform to evaluate car sharing booking data, compared it with energy consumption data to use mobility as a proxy for energy consumption peaks, and simulated various scenarios to determine the optimal number of charging stations.
Thanks to the optimized placement of charging stations, we were able to significantly reduce operating costs and increase energy efficiency.