Revenue Leakage from Unmanaged Discount Structures
Complex discount tiers and traffic commitments are difficult to optimize continuously, with missed thresholds and underutilized discounts contributing to 5–15% revenue leakage in wholesale roaming.
We bring roaming agreements, discounts, commitments, partner performance, and settlements into one intelligent platform to optimize wholesale roaming revenue and commercial performance.
Product Overview
BizzRoam is our AI-powered wholesale roaming management platform, built on the PRISM Service Creation Platform. We bring deal management, discount structures, traffic commitments, partner analytics, settlement, and financial intelligence into one environment.
AI-driven analytics help identify revenue leakage, predict commitment risks, optimize commercial performance, and strengthen partner decisions. Integration with SOR connects commercial intelligence with traffic steering, creating a closed loop between wholesale strategy and network execution.
The outcomes are clear
Capabilities
Manage bilateral agreements, rate cards, discount tiers, traffic commitments, technology-specific pricing, validity periods, and renewals through a structured central repository with intelligent alerts.
Analyze real-time traffic against negotiated discount structures to identify revenue leakage, improve discount utilization, and recommend traffic redistribution through SOR integration.
Gain live visibility into traffic volumes, voice, data and SMS usage, technology splits, destinations, and partner trends, with DPI-enriched insights into roaming data usage.
Automate TAP/NRTRDE processing, invoice reconciliation, and settlement calculations, while AI-assisted discrepancy detection identifies mismatches and supports faster dispute resolution.
Track traffic against bilateral commitments and use AI-powered forecasting to predict end-of-period outcomes months in advance, enabling earlier action when commitments are at risk.
Compare roaming partners across revenue yield, QoE, traffic growth, dispute frequency, and settlement reliability to identify underperforming relationships and strengthen renegotiation decisions.
Analyze roaming revenue, wholesale costs, and margins across partners, countries, and services to identify where rate, discount, or commercial changes can improve financial performance.
Connect BizzRoam with SOR, TAP processing, billing, and ERP systems so commercial terms inform steering policies while actual traffic feeds back into commitment and revenue analytics.
Process
Bring bilateral agreements, rates, discounts, commitments, validity periods, and renewal terms into a single managed environment.
Integrate roaming usage, TAP/NRTRDE, billing, financial, and partner data to create a connected view of wholesale roaming performance.
Use AI and analytics to continuously evaluate traffic distribution, discount utilization, commitments, partner performance, settlement, and margins.
Identify potential commitment shortfalls, revenue leakage, settlement discrepancies, and commercial opportunities early enough to support proactive decisions.
Use insights to inform negotiations, settlement decisions, discount strategies, and SOR-integrated traffic steering.
Continuously monitor commitments, traffic, settlement, and financial performance to strengthen wholesale roaming decisions over time.
Results
Optimize discount utilization and traffic commitments to capture greater value from bilateral agreements, with an 18% increase in discount capture achieved for one operator.
Automate reconciliation and discrepancy detection to accelerate settlement and reduce manual effort. In a multi-market operator environment, settlement cycles reduced from 45 to 12 days, with 70% fewer disputes.
Centralize contracts, renewals, alerts, and workflows to reduce manual effort and operational complexity across the wholesale roaming deal lifecycle.
Identify commitment risks early and take corrective action before the period ends. For one operator, $2M in annual penalty exposure was identified eight weeks before quarter-end, enabling all three at-risk commitments to be brought into compliance.
Use partner benchmarking, traffic performance, and commercial intelligence to support stronger renegotiation decisions, with $4.5M in annual savings identified for one operator.
Streamline deal onboarding and operational workflows to reduce activation from weeks to days, enabling new partner traffic to begin generating revenue sooner.