Identifying optimal truck EV charging locations with Kallista Energy

Logistics and trucking companies are increasingly looking to electrify their fleet in response to growing environmental concerns and stricter regulations. As a result, energy companies are gearing up for a new demand in EV charging infrastructure for trucks. However, identifying the most optimal locations for charging stations remains a challenge.

Kallista Energy, a leading energy company in France, wanted to identify the best locations for EV charging infrastructure for trucks. The challenge was to find the most optimal sites based on several factors such as truck traffic volume and route patterns.

To tackle the challenge, Kallista Energy used xyzt.ai. Bridgestone provided floating truck data, which included GPS data on truck movements, while xyzt.ai provides advanced algorithms to analyze the data and identify patterns. Kallista Energy's analysts then used the insights to identify the most optimal locations for charging stations based on truck traffic volume and route patterns.

The xyzt.ai platform enabled us to identify the most optimal locations for EV charging infrastructure for trucks in France. By leveraging floating truck data and location intelligence, we were able to gain a deeper understanding of truck traffic patterns and identify areas of high demand. This has allowed us to make strategic investments in charging infrastructure and support the transition towards a more sustainable future.

The analysis revealed several key insights and identified the key locations in France where to invest first in EV charging infrastructure.