ladeplan utilizes artificial intelligence to analyze over 180,000 charging points across Europe, enabling charge point operators to identify optimal locations for new charging infrastructure. This data-driven approach enhances site selection efficiency and provides precise forecasts of future profitability, addressing the challenge of strategic placement in a rapidly growing market.
Funding
Funding not disclosed
Founders
Product
Problem
Charge point operators face challenges in strategically placing new EV charging infrastructure due to the complexity of analyzing numerous locations and predicting future profitability. Inefficient site selection can lead to underutilized charging stations and reduced returns on investment.
Solution
ladeplan offers an AI-powered platform that analyzes over 180,000 charging points across Europe to identify optimal locations for new EV charging infrastructure. The platform evaluates potential sites, considering factors such as existing charging station utilization, points of interest, and socio-demographic data. By processing real-time data from various charge point operators (CPOs), ladeplan provides precise forecasts of future profitability, enabling data-driven decisions. The platform supports the analysis of individual sites or broader areas, delivering standardized results and aggregated data to support infrastructure planning.
Target Audience
The primary customers are charge point operators (CPOs), municipalities, and utility companies seeking to optimize the placement of new EV charging infrastructure.
Features
- AI-driven location analysis for EV charging infrastructure
- Evaluation of AC to HPC charging points with up to 30 charging stations
- Precise kWh forecasting based on real-time data
- Integration of points of interest (POI) data for site assessment
- 3D street-level views for visual site inspection
- Economic viability calculator for profitability analysis
- Support for analyzing up to 500 locations in parallel
- Excel and CSV upload for custom location data
- Ranking of analyzed locations based on potential
- PDF reports summarizing area analysis
- Continuous monitoring of charging infrastructure needs through automated data updates