Geo-optimization

Optimising vehicle distribution and enabling cost-effective charging station installation

CUSTOMER
E-mobility
SECTOR

Mobility

webSITE
FOCUS
Productivity
·
Data-based decision making
E-mobility
Prozess

01

Research &
Interviews

We analysed market needs, customer problems and developed a business model.

02

Feature scope
& wireframes

Defining high-priority functions in collaboration with stakeholders and creating wireframes

03

MVP design
& development

Design of a user-friendly interface, and development of the backend.

04

Entwicklung & Markteinführung

Introduction of the MVPs with pilot customers whose feedback was used for product refinement and function validation.

ProCess

01

Recherche &
Business Model

Wir analysierten Marktbedürfnisse, Kundenprobleme und entwickelten ein Geschäftsmodell.

02

Feature Scope
& Wireframes

Definition von High-Priority Funktionen in Zusammenarbeit mit Stakeholdern und Erstellung von Wireframes

03

MVP Design
& Entwicklung

Design einer benutzerfreundlichen Oberfläche, und Entwicklung  des Backends.

04

Rollout
& Kundenfeedback

Einführung des MVPs mit Pilotkunden, deren Feedback zur Produktverfeinerung und Funktionsvalidierung genutzt wurde.

ProCESS

01

Initial research

User and stakeholder research through the use of personas, user journey maps, and interviews.

02

Business modeling

Definition of value creation, business model and planning.

03

Scope & prototyping

Defining the feature set for the MVP, specifying the functionality, and collecting feedback

04

Technical feasibility

Technical feasibility, cost assessment and implementation planning

PROCESS

01

User interviews

Conducting interviews with experts to identify pain points in manual workflows

02

Prototyping

Design of the first prototypes to validate the concept

03

Usability testing

Conducting interviews to collect feedback and identify issues

04

Implementation

Develop an MVP and publish it for the first user to collect feedback

Challenges

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.

Optimising vehicle distribution and enabling cost-effective charging station installation

Solution

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.

Head of Infrastructure

Head of Infrastructure

Car-sharing provider