IT Consulting – Telecom Provider – AI-Driven Network Optimization
Zervvo empowered a telecom giant with AI-based network optimization, reducing customer complaints by 60% and saving $3M in maintenance costs.
Challenges
Network congestion and rising churn
Solutions
AI-driven traffic and fault management
Outcome
60% drop in complaints
About Case study
A major telecom provider with 15,000 employees operates across 10 countries, offering mobile and broadband services. It serves millions of customers but faces rising operational costs and network inefficiencies.
Challenges
The provider struggled with network congestion, leading to a 12% increase in customer complaints and a 20% rise in maintenance costs due to manual monitoring. Legacy systems couldn’t handle 5G demand, risking a 10% churn rate. The company needed an AI-driven solution to optimize networks and reduce costs.
Solutions
Zervvo implemented an AI-driven network optimization platform:
• Deployed machine learning models to predict network congestion and reroute traffic in real time, integrating with existing OSS/BSS systems.
• Automated 70% of network monitoring tasks using RPA bots, reducing manual oversight.
• Introduced predictive maintenance for cell towers, using IoT sensors and AI to flag issues before outages.
• Enhanced cybersecurity with AI-based threat detection to protect network infrastructure.
• Trained network engineers on AI tools, enabling proactive management.
Outcomes
• Cost Savings: Reduced maintenance costs by 22%, saving $3M annually.
• Customer Satisfaction: Cut network-related complaints by 60%, improving NPS by 20 points.
• Efficiency: Automated monitoring saved 1,000+ hours monthly, freeing staff for innovation.
• Reliability: Achieved 99.95% network uptime, supporting 5G rollout.
• Esperanto Tie-In: Zervvo bridged technological and operational gaps, uniting global network teams with a cohesive, AI-powered platform for seamless service delivery.
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