Intelligence That Routes Before the Problem Exists

AI Routing Optimization — NGN ICS

The NGN ICS AI Routing Optimization Engine is a predictive decision system that continuously analyzes global carrier performance, traffic trends, and cost-quality correlations to determine the optimal path for every call, every second.

It doesn’t just follow routing rules — it learns from real-world outcomes.

This allows NGN ICS to dynamically adapt routes in real time, ensuring Tier-1 voice quality, zero congestion, and maximum cost efficiency across its global network.

Purpose

Conventional routing relies on static logic — prefixed tables, price lists, and human review.

The NGN ICS AI Routing Optimization Engine replaces that with an adaptive system capable of making intelligent decisions based on live quality metrics, predictive modeling, and historical behavioral analysis.

The result is a self-optimizing network that aligns every route with current performance, not yesterday’s configuration.

How It Works

1.

Continuous Data Collection

The system aggregates millions of live call records, routing responses, and performance indicators from the NGN ICS global infrastructure.

Metrics such as ASR, ACD, MOS, and PDD are evaluated per trunk, carrier, and destination to form a constantly updated performance matrix.

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2.

Predictive Modeling

Machine learning models analyze historical performance patterns to forecast how specific carriers or routes will behave under current network conditions.

This enables the AI to anticipate congestion, latency, or service degradation before it occurs — not after.

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3.

Adaptive Routing Logic

Based on these predictions, the AI dynamically adjusts routing weights, prioritization, and fallback paths in real time.

This optimization runs continuously, ensuring the best balance between cost, performance, and stability for every outbound call.

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4.

Closed-Loop Feedback

Every call outcome feeds back into the model — refining its accuracy and improving future routing decisions.

Over time, the system becomes increasingly precise, building an autonomous feedback ecosystem that self-corrects and self-optimizes.

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Core Capabilities

  • Dynamic LCR (Least Cost Routing) AI evaluates both cost and quality in real time, selecting the optimal path automatically.
  • Predictive Quality-Based Routing Future route performance is forecasted and optimized before traffic is assigned.
  • Geo-Aware Optimization Intelligent path selection based on latency, region, and destination metrics.
  • Carrier Benchmarking Continuous comparison of partner networks for stability and signaling reliability.
  • Failover Intelligence Automatic rerouting to alternate trunks within milliseconds of fault detection.

Integration Across NGN ICS Ecosystem

The AI Routing Optimization Engine works in concert with:

The AI Quality Monitoring System, which supplies continuous QoS intelligence.

The Virtual NOC Agent, which executes routing changes automatically.

Together, they form the foundation of NGN ICS’s autonomous carrier infrastructure, capable of monitoring, analyzing, and acting without delay.

Operational Benefits

  • Reduced Routing Costs without sacrificing quality
  • Faster Convergence after outages or performance dips
  • Higher ASR and ACD Stability through real-time re-optimization
  • Improved SLA Compliance across dynamic global conditions
  • Fully Autonomous Operation requiring zero manual adjustment

Strategic Impact

This technology enables NGN ICS to deliver true Tier-1 global quality while maintaining commercial agility.

Routing optimization is no longer reactive — it is predictive, data-driven, and self-evolving.

For NGN ICS partners, this translates into:

  • Consistently superior call quality
  • Lower termination costs
  • Instant adaptation to carrier market fluctuations
  • Greater transparency and route accountability

Compliance and Control

All AI Routing operations are governed by NGN ICS’s internal routing and compliance frameworks, ensuring:

  • Full traceability of AI-based decisions
  • Alignment with telecom standards (ITU, GSMA, regional regulators)
  • Secure handling of CDR and signaling data
  • Complete audit trails across routing layers

The AI operates within NGN ICS’s secure environment — never relying on third-party systems for decision-making or computation.

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