Case Study
Enhancing EV Charger Utilisation Insights for a Charge Point Operator
The Challenge
A Charge Point Operator (CPO) sought granular insight into the utilisation patterns of its existing EV charging infrastructure across different locations, site archetypes, and power types. The data revealed unexpectedly high utilisation in some areas while internally prioritised ‘hot’ sites underperformed. Additionally, a strong regional bias complicated the analysis, making it difficult to accurately predict future demand and optimise site selection. The CPO needed a data-driven approach to identify key utilisation factors and create a standardised benchmark for future investment.
The Solution
Field Dynamics combined multiple datasets and systems to analyse utilisation trends, uncovering hidden factors driving regional demand variations. The insights were compiled into a detailed report and predictive model, defining what a typical high-performing charging site should deliver. An automated site scoring and modelling process was developed, enabling sites with similar characteristics to be compared, allowing for custom approaches to demand assessment.A Charge Point Operator (CPO) sought granular insight into the utilisation patterns of its existing EV charging infrastructure across different locations, site archetypes, and power types. The data revealed unexpectedly high utilisation in some areas while internally prioritised ‘hot’ sites underperformed. Additionally, a strong regional bias complicated the analysis, making it difficult to accurately predict future demand and optimise site selection. The CPO needed a data-driven approach to identify key utilisation factors and create a standardised benchmark for future investment.
The Outcome
The new model became a benchmark for future site acquisitions and financial modelling, helping the CPO optimise site selection and investment strategy. By enabling the comparison of locations with similar traits, the process allowed for dynamic, hyper-local demand forecasting, ensuring a smarter, more adaptive approach to infrastructure planning in an evolving competitive landscape.
