Nearly 1,000 new EV chargers go live in the U.S. every week. Most fail to earn their keep.
Billions of dollars are being spent to blanket the country with charging infrastructure, yet too many stations underperform from the moment they open. Sites are built in the wrong places, priced poorly, or left without the data-driven planning needed to reach profitability.
Despite this, many charging networks still believe building internal analytics like siting engines, pricing models, and utilization forecasts will give them a competitive edge.
It rarely does.
We often hear:“If we use a shared forecasting tool, how are we different from our competitors?”
The truth is that your edge comes from how well and how fast you execute, not from proprietary dashboards. Building internal models requires:
Meanwhile, EV charging is becoming a market where cost and convenience drive consumer choice. The real risk is not losing differentiation. The real risk is deploying capital slowly or to underperforming sites.
Even networks with strong internal tools benefit from an independent view. Investors underwriting multi-million-dollar deployments expect rigor and transparency.
A credible third-party forecast can:
As one investor told us recently, “We do not need you to hand over the steering wheel. We need to know the dashboard is accurate.”
Shared intelligence platforms provide a foundation of high-quality data and analytics without dictating strategy. Networks can still pursue unique site and pricing strategies with:
The operators who are winning focus their internal resources on site negotiations, customer experience, and operational uptime. They use specialized tools to handle the complex, data-heavy work.
In a market trending toward commoditization, the real advantage is not who built the model. The real advantage is how quickly you can reach profitability with the data you trust most.
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