Case Study: Enel achieves real-time grid intelligence and 80% automated quotes with Neo4j

Enel automates 80% of customer quotes with Neo4j

Enel, a global energy company powering 75 million people, faced the challenge of managing its highly complex electricity grid across nine countries. Providing accurate connection quotes for customers, especially those installing renewable energy like solar panels, was slow and error-prone in their legacy relational database system. This manual process required extensive time and resources. To achieve its ambitious operational and zero-emissions goals, Enel needed a scalable solution and turned to the Neo4j Graph Database.

By implementing Neo4j, Enel rebuilt its entire infrastructure as a massive digital twin, managing over 600 million nodes. This allowed them to traverse the network graph directly for instant, complex pathfinding. The solution from Neo4j automated 80% of customer quotes, up from just 10%, and delivered query performance that was 100 times faster. This resulted in massive cost savings, improved customer satisfaction, and accelerated the connection of renewable energy sources, directly supporting Enel's sustainability targets.

Enel