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Customer Applications

Supporting investment decisions with data, not opinions.

Catchment Modeller

Catchment Modeller by Field Dynamics is a powerful tool that empowers EV charge-point operators to make smarter, data-driven decisions. By combining diverse datasets, custom client data, and advanced mapping layers, Catchment Modeller enables real-time scenario planning and granular insights. Identify optimal installation sites, assess infrastructure feasibility, and uncover opportunities with tools like pavement width analysis, fleet demand mapping, and low-voltage connection data. For UKPN clients, our ChargePoint Navigator version adds exclusive low-voltage cabling insights, offering unparalleled precision for charge-point planning.

Live Scenario Planning: Conduct real-time planning using diverse datasets for detailed analysis and decision-making.
Powerful Data Interaction: Analyse the interaction between Contextual and Thematic layers to uncover critical business insights.
Contextual Layers: Access customer-specific data, such as pavement widths, for highly localised analysis.
Thematic Layers: Leverage standard datasets like EV Map, GigaMap, FleetMap, and Demand Zone for broader market insights.
Optimised Investment Decisions: Make data-driven decisions to identify where charge points can and cannot be installed, minimising risk and maximising returns.
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Metrix by Field Dynamics

Metrix by Field Dynamics is a powerful location analytics tool designed to help Charge Point Operators unlock the full potential of their charging site portfolio. By integrating and analysing diverse datasets, Metrix delivers actionable insights into site performance, competitor activity, and market opportunities. From pinpointing optimal investment locations to forecasting future energy demand, Metrix empowers operators to make data-driven decisions, optimise resources, and stay ahead of the competition.

Comprehensive Site Assessment: Gain an in-depth understanding of charging site potential through integrated and analysed datasets.
Competitor Insights: Visualise nearby competitor charge points and assess their impact over time by adjusting timeframes.
Data-Driven Decision-Making: Incorporate utilisation data to understand how competitors influence business performance.
Investment Prioritisation: Classify and rank sites to identify the most attractive locations for future investment.
Performance Forecasting: Forecast future energy demand (kWh per day per bay) using local demand, en-route demand, and destination draw.
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Case Studies

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