Summary
This document is a use case brief detailing Sandvine's Home Network Diagnostics solution. It outlines the challenges faced by fixed service providers in diagnosing home network issues, particularly in relation to customer complaints about slow internet. The brief explains how consumers often misattribute network problems to service providers, leading to unnecessary service calls and costly truck rolls for on-site resolutions. Sandvine's solution employs machine-learning powered intelligence to enable proactive and reactive diagnostics of home network issues, such as poor WiFi placement and congestion. The tool provides real-time visibility into customer issues, allowing for accurate diagnoses and improved customer care management. Additionally, it highlights the benefits of reducing operational costs and enhancing customer satisfaction through efficient troubleshooting processes. The use case emphasizes the importance of understanding network performance characteristics to improve service delivery and reduce customer churn.
