Financial Billing & Revenue Intelligence
Advanced Billing Analytics Dashboard
Revenue trend analysis, NTL pattern recognition with AI anomaly detection, industrial payment workflows, and AI-powered monthly energy demand forecasting.
⚠️
14.3%
Avg NTL Rate
Target: <5%
💡
4,025 MWh
NTL Energy Loss
This month
🏭
ZMW 7.5M
Industrial Outstanding
2 accounts >30 days
💰
85.6%
Collection Rate
March 2026
Revenue Collection Trends — Billed vs Collected vs Target (ZMW M)
Shaded region = forecast period (Apr–Jun)
- Collected
- Billed
- Target
- NTL Loss
Monthly Revenue Breakdown
| Month | Billed (ZMW M) | Collected (ZMW M) | NTL Loss (ZMW M) | Collection Rate | vs Target |
|---|---|---|---|---|---|
| Oct | 82.4M | 71.2M | 9.8M | 86.4% | -8.8M |
| Nov | 86.1M | 74.8M | 10.2M | 86.9% | -7.2M |
| Dec | 91.2M | 78.3M | 11.1M | 85.9% | -6.7M |
| Jan | 88.4M | 75.9M | 10.4M | 85.9% | -9.1M |
| Feb | 84.7M | 72.1M | 9.6M | 85.1% | -10.9M |
| Mar | 89.3M | 76.4M | 10.8M | 85.6% | -9.6M |
| Apr (F) 🔮 | 91.2M | 78.1M | 10.6M | 85.6% | -9.9M |
| May (F) 🔮 | 94.8M | 81.5M | 11M | 86% | -8.5M |
| Jun (F) 🔮 | 97.1M | 83.2M | 11.3M | 85.7% | -8.8M |