United StatesEnergy and utilities2024 – ongoingBlink Charging
Stable Auto AI modeling for EV charging site utilization and pricing
Blink Charging said AI modeling from Stable Auto raised efficiency 34% across 60 charging locations
Problem
Blink Charging runs a network of EV chargers and has to decide where chargers earn their keep and how to price and manage them. Poorly used sites weigh on revenue and raise deployment risk.
Approach
Blink used the Stable Auto platform, which analyzes utilization trends from tens of thousands of public U.S. EV chargers. Blink applied it to 60 locations first. The company said it will use the platform to optimize its wider charging network and to improve charger information in its app and in partner mapping apps.
Results
Takeaway
Blink tried the modeling on 60 sites before the wider network. It did not define the efficiency metric, the baseline or the period behind the 34% figure.
Categories
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
Blink's press release says it works with Stable Auto, whose AI tools analyze utilization at tens of thousands of public U.S. chargers. The COO is quoted saying efficiency improved 34% and net revenue rose across 60 locations. The release says Blink will use the platform for its network and gives no network-wide figure.
Full details are in the original sources.