Telecommunications Case Study
Smart Network Optimization for Cost-Efficient Resource Management
The client
A US Tier-1 telecom operator seeking to raise consistently network performance nationally, reduce operational costs, and improve customer experience by focusing engineers on the issues that matter most.
The challenge
The challenge
The operator needed to optimize both day-to-day operations and large-scale network transformation projects — without expanding its engineering team or outsourcing.
- Cost constraints
Manual troubleshooting and optimization processes made it impossible to control operational costs while preparing for major network changes.
- Inconsistent quality
Optimization results varied significantly, depending on individual engineer skills. There was no standardized, repeatable methodology.
- Resource limitations
Expanding the in-house engineering team was not an option due to budget and workload constraints, and outsourcing was not feasible.
- Customer impact
Engineers were spending too much time on repetitive, low-value tasks, reducing their ability to focus on customer-impacting issues.
The solution
Network Advisor was deployed for daily network performance incident management across multiple markets and multi-vendor environments (e.g., Ericsson, Nokia).
It supports both day-to-day troubleshooting and optimization as well as strategic network projects such as swaps and infrastructure consolidation.
Automates network optimization across multi-vendor environments
Detects and prioritizes issues, identifies root causes, and enables corrective actions
Reduces manual workload, accelerates decision-making and improves customer experience
Benefits for the client
Analysis time reduced by 67%
Analysis at scale of 100s of KPIs across a Tier 1 national footprint identifying issues, anomalies, spikes organized by top offenders to prioritize engineers high value tasks reducing analysis time.
Automated Issue Closure for Engineering Efficiency
60% of reported issues are auto-closed filtering out the noise consuming engineers’ time.
30% Reducton in resolution time
Reduction in resolution time of actionable incidents from AI driven root cause analysis.
Automated Action Plans at Cell level
Automated Action Plans at Cell Level to prioritize work for scalable optimization across the network.
100% Consistency and 90% Accuracy
Ensuring reliable and repeatable results with minimal variation, supporting high-quality network performance.
Enhanced Customer Experience
Proactive improved Customer Experience by ensuring network quality.