False answer and call quality scams generating refunds and SLA penalties
Definition
In false‑answer traffic pumping schemes, wholesale carriers or their partners send a fake answer signal and charge for calls that never truly connect, causing end‑users to experience dead air or early‑cut calls while still being billed. Retail operators then face complaints, credits, and SLA penalties for poor call quality and fraudulent charges to premium destinations.
Key Findings
- Financial Impact: In affected routes, a material share of minutes (TransNexus cites high answer seizure ratios with very short calls as key indicators) can be falsely billed, forcing operators to credit customers or absorb losses on disputed wholesale invoices; for major carriers, this can scale to hundreds of thousands of dollars per route per year.
- Frequency: Weekly
- Root Cause: Traffic pumping intermediaries manipulate signaling to show calls as answered, combined with least‑cost routing that prioritizes price over quality; lack of granular real‑time QoS and answer‑pattern analytics lets these problems persist until customer complaints or audits reveal patterns.
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting Telecommunications Carriers.
Affected Stakeholders
Customer care and billing dispute teams, Wholesale route managers, Quality of service / network performance teams, Enterprise account managers, Regulatory and compliance teams (for billing accuracy rules)
Deep Analysis (Premium)
Financial Impact
$100,000+ per route per year • $100,000+ per route per year from SLA penalties • $100k+ per route per year
Current Workarounds
Ad-hoc WhatsApp groups for fraud alerts and Excel for invoice disputes • Custom Excel dashboards and email chains for port-fraud tracking • Excel analytics on CDRs for leakage detection
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Artificial traffic pumping and IRSF driving uncollectible wholesale and retail charges
Escalating fraud management and dispute handling costs from inefficient detection
Delayed fraud recognition leading to late billing disputes and slow recoveries
Network and trunk capacity consumed by artificial pumped traffic
Regulatory exposure from inadequate fraud controls and inaccurate billing
Systemic telecom fraud (IRSF, Wangiri, SIM box) exploiting slow or weak detection
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