Case Study: a Fortune 500 energy company reduces transformer failures with XTIVIA's AI solution

Fortune 500 Energy Company cuts outage minutes by 90 with Xtivia

Xtivia partnered with a Fortune 500 energy company that sought to enhance operational efficiency and customer satisfaction by predicting distribution transformer failures. The client's challenge was to leverage its vast Advanced Metering Infrastructure (AMI) data to enable proactive maintenance and reduce power outages, but it faced technical hurdles due to the massive volume and variety of its data stored across multiple systems.

Xtivia implemented a turnkey cloud-based AI solution that used data engineering and data science to detect voltage spikes indicating potential transformer failure. The solution automated the process of identifying at-risk assets, which were then presented on a Power BI dashboard for the maintenance team. As a result, Xtivia helped the client achieve an average reduction of 90 outage minutes per customer, prevented equipment damage, optimized crew utilization, and scaled the solution to avoid hundreds of thousands of outage minutes annually.