Our predictive algorithms lower customer charging costs by up to 70%!
Read our case-study below to see how our customers can save almost €25,000 per year in charging costs.
17 Sites in Germany
500 Electric Vehicles
109 Chargepoints
116 MWh used yearly
Case1: Dynamic Tariffs and Peak Shaving
Dynamic tariffs change throughout the day based on the amount of renewable energy generation.
Our AI algorithms analyze weather and spot market data to predict optimal charging times aligned with high renewable energy generation, enabling cost-effective and eco-friendly fleet charging.
Real-time load management optimizes EV fleet charging, building energy use, and onsite assets like solar, wind, or batteries, helping companies avoid costly peak energy demands.
Case2: Integrating V2X and Battery Lifetime Optimization
Our energy management software is V2X enabled, which allows you to use your fleet as a battery and sell electricity back to the grid when prices are high.
By controlling the charge/discharge times of your EV fleet batteries, you can extend battery lifetime, reducing replacement costs and increasing the financial benefits of transitioning to an EV fleet.
€17,150
Case 1: 49% lower annual costs
€24,500
Case 2: 70% lower annual costs
Want to see how much your fleet can save?
All you need to do is provide us with basic fleet and energy data and we will provide a free savings analysis! Simply contact us below to get started.
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