Overview
Telecom operators faced network outages and QoS disruptions due to reactive maintenance practices. INNOIRA deployed ML-powered predictive analytics to anticipate failures and automate repair workflows.
Business Challenges
1.
Reactive network fixes causing expensive outages and customer dissatisfaction
2.
Massive sensor and environmental data difficult to analyze manually
3.
No mechanism to predict equipment failures
Solution Implemented
ML models ingest sensor data, alarm logs, and weather patterns to predict failures 7 days earlier
Automated work order creation with RPA routing tasks to field teams
Proactive resource allocation reducing downtime
Impact Delivered
40%
Downtime Reduction
Major improvement in network stability
20%
Maintenance Savings
Lower cost through planned interventions
99.99%
Uptime
Superior network continuity