The right location. Data-driven decisions.
How Stackbox helps CPOs identify gaps in their network, account for competition, and justify the best locations for new charging stations with data – not gut feeling.
01 · Challenge
Location decisions based on gut feeling don't scale.
Growing CPOs face a central question: where should the next charging station be built? Without structured access to the right data, these decisions are made on experience, manual research, and incomplete market knowledge – with real risk to your investment.
No overview of your own network
Operational, under-construction, and contractually secured sites sit in different systems. A consolidated, geographic view of your current rollout status is missing – especially with large fleets.
No structured competitor view
Where have competitors already expanded? Which regions are already well served, where do gaps still exist? This information is critical – but laborious to research manually.
Data fragmentation
Traffic data, population density, POI distribution, and network coverage come from different providers. Manually combining these data layers is time-intensive and error-prone.
Missing prioritisation
Even when data is available: without objective scoring logic it's hard to compare sites fairly and clearly prioritise the most promising candidates.
Site planning for charging infrastructure is a data problem. The relevant information exists – in your own system, at data providers, and in market observation – but it's fragmented and not automatically consolidated, scored, and visualised. Without this integration layer, every site decision remains subjective. We change that.
02 · Solution
A planning tool that brings all relevant data together.
Stackbox built a Site Planner that combines your internal network data, external market data, and contextual data layers in an interactive map interface – automatically calculating and visualising the best sites.
Complete view of your own network
All your charging stations are visualised on an integrated map interface – differentiated by operational status: active, under construction, or contractually secured. Your current rollout status is visible at a glance.
Competitor data via external data provider
Through an integration with a specialised charging station data provider, locations and key data of all relevant competitors are displayed. Market monitoring becomes an automatic, continuously up-to-date data layer.
Contextual data layers
Via a further data provider, traffic volume, population density, commuter flows, and other location-based data are integrated as configurable layers into the map – toggleable at any time.
Algorithm-based site scoring
A scoring algorithm evaluates potential sites across multiple dimensions: coverage gaps in your own network, competitor density, traffic frequency, population distribution, and further configurable factors. The result is a transparent score per site candidate.
Visualisation in the H3 hexagon framework
All data and scores are displayed in an H3-based hexagon grid. The uniform surface distribution makes regional differences in supply density and score intuitively comparable – without distortion from varying area sizes.
Data Sources
Scoring Algorithm
Visualisation
Uber's H3 framework divides the Earth's surface into uniform hexagonal cells – ideal for spatial analysis.
All cells have the same area and shape. No region is visually over- or under-represented – unlike administrative boundaries.
H3 supports multiple resolution levels – from city district to regional level. Zooming changes the granularity, not the logic.
Scores, densities, and gaps are directly comparable between cells. You can see at a glance which regions are underserved.
03 · Impact
What changes for you.
From gut feeling to data-driven decisions – with tangible results in day-to-day planning. Not someday. From the first day.
Network Expansion Planning
Where are the biggest coverage gaps in your network? The Site Planner automatically highlights distance gaps as prioritised site candidates.
Competitor Analysis
Which regions are already well served by competitors, where do market gaps still exist? Always up-to-date market data as a permanent layer.
Business Case Preparation
Site evaluations with traffic and population data provide the data foundation for internal decision papers and investment planning.
Site Negotiations
Visualised score maps make your site arguments tangible and compelling – towards landowners, municipalities, and investors.
Prioritisation & Roadmap
The objective score per site lets you prioritise and phase your rollout plans with data – instead of gut feeling.
Regional Expansion
New regions can be systematically analysed before the first conversation – with complete market and infrastructure insight.
complete view of your network, competition, and market potential in one interface
manual research effort for market and competitor data per site evaluation
objective, algorithm-based evaluation of every site candidate – data-driven, not intuitive
undistorted, intuitive visualisation through hexagonal grid framework
scalable from individual cities to national networks with thousands of sites
integrable into existing planning and reporting workflows via open interfaces
We used to make site decisions based on experience and partial data. With the Stackbox Site Planner we see on one map where our network has gaps, where competitors are active, and which regions offer the greatest potential. The hexagon visualisation makes differences immediately tangible – it has fundamentally changed our planning conversations.
Stackbox · Site Planner
Ready for data-driven site planning?
We'll show you how you can do so – with your network data, your region, and the relevant competitor data.
Let's talk →