Telecom Giant Reduces Network Downtime by 45% Using Deep Learning Optimization

Telecommunications

Telecom Giant Reduces Network Downtime by 45% Using Deep Learning Optimization

Client

Asia Pacific Telecom

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Overview

Asia Pacific Telecom, one of the region's largest telecommunications providers, faced mounting pressure to reduce network downtime and improve service reliability across its infrastructure serving 40M+ subscribers.

Challenges

  • Reactive Maintenance: Network issues were only detected after customer complaints
  • Complex Infrastructure: Thousands of network nodes across diverse geography
  • Seasonal Spikes: Unpredictable traffic patterns during festivals and events

Solution

Pixel ML deployed a deep learning-based network optimization platform that predicts failures before they occur and automatically routes traffic to prevent congestion.

Results

  • 45% reduction in network downtime
  • 60% faster issue resolution through predictive alerts
  • $8M annual savings in maintenance and repair costs
  • NPS improvement of 22 points within 6 months