Telecommunications Case Study
In-House Intelligence for Network Optimization Cost Reduction
The client
A European Tier-1 telecom operator faced a strategic shift: to transform its Managed Services contract by insourcing key optimization tasks—all while operating under a reduced optimization budget.
The challenge
How to automate the day-to-day network troubleshooting and optimization tasks to maximum extent to secure and even improve the network performance. The current ways of working were clearly limited due to:
- Cost Constraints
The highly manual optimization process made it impossible to reduce outsourcing costs under the existing model.
- Inconsistent Quality
Results varied significantly, depending on the individual skills of engineers, with no standardized approach.
- Resource Limitations
Scaling the in-house engineering team was not feasible due to workload and budget restrictions.
The solution
Network Advisor was deployed in capital city of the country to automatically detect most significant low throughput related issues cell by cell and on daily basis to define actionable root causes leveraging the detailed AI/ML driven framework.
24 different actionable root causes with all ML model performance metrics >97%
Integrated ticketing system orchestrating and tracking the action plan dynamically
Benefits for the client
Automated Action Plans at Cell Level
Launched with a focus on Low Throughput issues, enabling precise, scalable optimization across the network.
Rapid Deployment in Just 2 Weeks
Fast setup and integration, accelerating time-to-value and minimizing disruption to operations.
2.5x Augmentation Effect
Delivers the equivalent impact of more than doubling the engineering team—without increasing headcount.
100% Consistency and 90% Accuracy
Ensures reliable, repeatable results with minimal variation, supporting high-quality network performance.
90% Reduction in Troubleshooting Effort
Significantly reduces time spent on manual analysis, freeing up engineering teams for higher-value tasks.