Telecommunications – Network Performance Forecasting

Forecasting Performance Degradation on a Fiber Optic Network

A telecommunications company was experiencing recurring performance degradation in its fiber optic network, resulting in incidents and service interruptions. To address this, we designed and developed a custom asset monitoring and predictive maintenance platform tailored to the project’s requirements.

During the Proof of Concept (PoC), the platform processed a three-month historical dataset of line card performance and applied predictive models to forecast potential degradation events within daily 24-hour periods. Through this approach, the platform successfully identified 99 out of 120 recorded incidents, enabling proactive detection of over 80% of potential failures with up to 24 hours of advance notice.

These results validated the PoC objectives and confirmed the effectiveness of the custom platform in anticipating network disruptions before they could occur. In addition to demonstrating predictive accuracy, the project showed how the solution could be operationalized to reduce downtime, optimize maintenance planning, and increase overall network resilience.

Based on these outcomes, a second project is now underway to extend the custom platform’s predictive monitoring capabilities across additional parts of the network, further improving reliability and continuity of service.