AI-Powered Intelligence

ML engine scores routing patterns and traffic anomalies in real time - continuously improving quality and cost decisions.

Overview

What it
means

The VoicePro Plus AI engine processes billions of call detail records to build predictive models for routing quality, fraud detection and cost optimisation. Every call path is scored against 14 quality dimensions before a single ring is generated.

Models retrain daily on fresh CDR data, ensuring routing decisions reflect current network conditions rather than stale historical averages. Seasonal patterns, destination-specific quality shifts and carrier capacity changes are all factored in automatically.

The AI layer operates transparently - every routing decision includes an explainability score showing which factors drove the selection. Partners can review, override and fine-tune model behaviour through the portal.

Architecture

How it works

01

Data Ingestion

Real-time CDR stream ingested via Kafka with sub-second latency. Raw events enriched with carrier metadata, destination intelligence and historical quality scores.

02

Feature Engineering

Over 140 features extracted per call attempt including ASR trends, PDD patterns, codec quality scores and time-of-day destination profiles.

03

Model Scoring

Ensemble of gradient-boosted trees and neural network models score each candidate route against cost, quality and reliability targets.

04

Decision Output

Ranked route list returned to the routing engine in under 5ms with explainability scores and confidence intervals.

05

Feedback Loop

Post-call quality metrics fed back into training pipeline. Models retrain nightly with full A/B validation before production deployment.

Capabilities

Engineered for impact

0114 Dimensions

Route Scoring

Every candidate route scored against 14 quality dimensions including ASR, ACD, PDD, NER and codec quality.

02<5 min

Anomaly Detection

Statistical anomaly detection identifies traffic pattern shifts within minutes - flagging potential fraud or quality degradation.

03Hourly

Predictive Margin

Revenue and margin forecasting per destination updated hourly based on current traffic mix and rate conditions.

04Transparent

Explainable AI

Every routing decision includes human-readable explanations showing which factors drove the selection.

05Governed

Model Governance

Full model versioning, A/B testing and rollback capability with audit trail for all production deployments.

06Configurable

Partner Tuning

Partners can adjust model weights to prioritise quality over cost, or vice versa, through the portal interface.

Technical Specs

Under the hood

Scoring Latency<5ms per route evaluation
Features per Call140+ engineered features
Model ArchitectureEnsemble (LightGBM + Neural Net)
Retrain CadenceNightly with A/B validation
CDR ProcessingReal-time via Apache Kafka
Quality Dimensions14 (ASR, ACD, PDD, NER, codec, etc.)
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