Stop Revenue Leakage. See What Your Network Already Knows.
An AI-powered analytics platform that cross-correlates CDR, signaling, DPI, billing, and customer data — automatically detecting revenue leakage, billing discrepancies, network anomalies, and hidden business opportunities before they impact your bottom line.
Operators lose 3–7% of annual revenue to leakage, billing errors, and undetected fraud — while siloed data prevents network intelligence from driving business decisions.
Revenue leakage is pervasive — CDR-to-bill discrepancies, misconfigured plans, and unrated usage events drain 3–7% of operator revenue annually
CDR and billing records are inconsistent — mismatched timestamps, missing fields, and duplicate records make reconciliation a manual nightmare
Plan and tariff configuration errors go undetected — incorrect discount rules, roaming charging, and promotion logic silently erode margins for months
Abnormal high-usage users with low charges — fraud, misconfiguration, or system bugs create significant revenue gaps that traditional audits miss
Network quality directly impacts customer experience and churn — but NOC, marketing, and customer care teams operate on completely siloed data
Business opportunities are buried in network data — usage patterns, location trends, and device analytics could drive revenue but remain invisible
Operations, customer care, and marketing data are fragmented — each department analyzes different datasets with no cross-functional intelligence
Manual reporting and ad-hoc SQL queries cannot scale — operators need automated, real-time dashboards with AI-powered anomaly detection
Regulatory and SLA compliance reporting is reactive — without proactive monitoring, violations are discovered after penalties are already incurred
Revenue Assurance & Network Intelligence Platform
Data Collection
Revenue Audit
Intelligence Engine
Visualization & Alert
Discover anomalies from network, billing, customer, traffic, and signaling data — reduce revenue loss, improve network operational efficiency, and transform raw data into actionable business intelligence with AI-powered analytics.
End-to-End Revenue Assurance & Analytics Capabilities
From data ingestion to actionable insights, covering the full revenue protection and network intelligence value chain
ZBensoft Revenue Assurance Advantage
Full-stack data fusion — DPI + CDR + signaling + billing + customer data combined into a single analytics pipeline, eliminating cross-system blind spots
AI-powered anomaly detection — unsupervised machine learning models continuously baseline normal behavior and flag deviations before they become revenue losses
Real-time revenue reconciliation — automated CDR-to-bill matching with configurable tolerance thresholds, catching discrepancies within minutes, not months
Carrier-grade data warehouse — purpose-built for telecom data volumes, handling billions of events per day with sub-second query performance
Executive command center — live dashboard big screens with drill-down from KPI overview to individual transaction-level detail
Pre-built telecom analytics models — tariff audit, roaming reconciliation, interconnect billing verification, and fraud pattern detection out of the box
Cross-functional data sharing — unified data model serves NOC, finance, marketing, and customer care from a single source of truth
Rapid deployment — pre-configured connectors for major network elements and billing systems, operational within 6–10 weeks
Who Needs Revenue Assurance & Network Intelligence
Mobile Operators — protect 3–7% of annual revenue from leakage while gaining network-powered business intelligence
ISPs — reconcile bandwidth usage, peering costs, and subscriber billing with automated audit and anomaly detection
MVNOs — verify host operator charges, detect billing discrepancies, and optimize interconnect costs
Regulatory Bodies — monitor operator SLA compliance, service quality metrics, and regulatory reporting adherence
Large Network Operations Teams — unify NOC, finance, and marketing data into a single real-time intelligence platform
Frequently Asked Questions
How much revenue leakage can the platform typically detect and recover?
Industry benchmarks show operators lose 3–7% of annual revenue to leakage. ZBensoft's platform typically identifies 85–95% of these leakages within the first 90 days of operation — covering CDR-to-bill discrepancies, misconfigured tariff rules, unrated usage, interconnect reconciliation gaps, and fraud-related anomalies. One national operator recovered $12M in annualized revenue within the first quarter of deployment. The ROI is typically realized within 3–6 months.
How does the AI engine differ from traditional rule-based auditing?
Traditional rule-based auditing relies on predefined thresholds and known patterns — it catches what you already know to look for. ZBensoft's AI engine uses unsupervised machine learning to establish dynamic baselines of normal behavior across network, billing, and customer dimensions, then flags statistically significant deviations automatically. This catches unknown leakage patterns, emerging fraud schemes, and subtle configuration drift that rules-based systems miss. The AI also reduces false positives by learning from operator feedback over time.
What data sources does the platform integrate with, and how long does deployment take?
The platform integrates with all major telecom data sources — DPI probes, CDR/ticket feeds from all NEs (MSC, GGSN/PGW, SMSC, IMS), SS7/Diameter/HTTP2 signaling links, billing systems (OCS, CHF, BSS), CRM, and network inventory. ZBensoft provides pre-built connectors for major vendor equipment (Ericsson, Nokia, Huawei, ZTE). A standard deployment takes 6–10 weeks, including connector configuration, data warehouse setup, AI model training on 3–6 months of historical data, and dashboard customization.
Full-Stack Technology for Your Telecom Business
ZBensoft integrates charging, core network, and AI capabilities to help operators run efficiently and grow sustainably.
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