Reinventing EV infrastructure planning at territorial scale
A real-world project across Île-de-France and Normandy, led with ADEME and local energy syndicates
Voltaage developed and deployed an AI-powered platform to help public authorities make better, data-driven decisions on EV charging infrastructure across the Vallée de la Seine corridor.
The Vallée de la Seine Program
A public initiative focused on ecological transition, the Vallée de la Seine program aims to support the strategic deployment of EV charging infrastructure (IRVE) across two major French regions.
Project Impact
The Challenge
Public authorities faced significant obstacles in planning EV infrastructure
Multiple data sources with inconsistent formats, making comprehensive analysis nearly impossible.
Difficulty identifying optimal charging locations without reliable demand forecasting tools.
Need to provide data-backed justification to elected officials and public decision-makers.
Pressure to maximize ROI on limited public infrastructure investment budgets.
The Voltaage Solution
A decision engine for public infrastructure
Voltaage SDIRVE Assistant aggregates multiple data sources and generates actionable recommendations for infrastructure deployment.
Automatically collects and unifies traffic, demographics, parking, grid infrastructure, and competitor data.
Visualize overlapping data layers including population density, EV adoption rates, and existing infrastructure.
Machine learning models process complex datasets to identify patterns and predict optimal locations.
Geospatial visualization tools for exploring potential sites and understanding territorial coverage.
Track utilization, revenue projections, and ROI for each potential and existing charging point.
Generate comprehensive reports and recommendations ready for public stakeholder review.
How It Works
From raw data to decision-ready recommendations in four steps
Data Aggregation
Collect data from 15+ sources including traffic, demographics, grid capacity, and existing chargers.
Data Enrichment
Clean, normalize, and enrich data with AI to fill gaps and ensure consistency.
AI Analysis
Machine learning models analyze patterns and generate location recommendations with confidence scores.
Decision Support
Deliver actionable recommendations with full justification for public stakeholder approval.
The Platform in Action
Real product interfaces used by public stakeholders in the Vallée de la Seine project
Comprehensive analytics with maps, KPIs, and AI recommendations
Geographic data layers and competitor mapping
Natural language queries for instant insights
The Transformation
Fragmented data across multiple incompatible systems
Intuition-based location decisions with high uncertainty
Manual analysis taking weeks to complete
Difficult to justify investments to stakeholders
Low utilization rates due to poor placement
Unified data platform with real-time updates
AI-driven recommendations with confidence scores
Analysis delivered in minutes, not weeks
Data-backed reports ready for decision-makers
Measurable impact with performance tracking
Why This Matters
A strategic shift in how public infrastructure decisions are made
From Installation to Performance
The EV charging market has moved from a pure expansion phase to an optimization phase. Public actors now need ROI visibility, performance tracking, and better allocation of capital.
Voltaage enables smarter investments, better public decision-making, and long-term infrastructure efficiency.
"The platform is now used to validate or reject projects — it became a decision-support tool for public authorities, helping move from 'installation logic' to 'performance logic'."