How TRRS Protects Your Revenue
Real-world benchmarks + predictive AI modeling show TRRS can reduce preventable losses by 83%
— turning risk into protected revenue, automatically.
at just 1.5% – 3% of booking value
Real Industry Benchmarks (2023–2024)
| Metric | Value | Source |
|---|---|---|
| Average Daily Rate (ADR) | $155 | STR Global 2023–2024 U.S. average |
| No-Show Rate | 20% | GlobalData / Little Hotelier 2023–2024 |
| Damage Incident Rate | 4% | AAHOA 2023 Property-Damage Report |
| Avg. Damage Cost per Incident | $3,500 | IBM / Choice Hotels claims |
Revenue Impact – Predictive AI Modeling (1,000 Bookings)
| Scenario | No-Shows | Damage Incidents | Lost Revenue | Revenue Protected |
|---|---|---|---|---|
| Without TRRS | 200 | 40 | $171,000 | $0 |
| With TRRS | 50 | 6 | $28,750 | $142,250 |
| Reduction | 75% | 85% | — | 83% |
Annual Protection Example (300-Room Hotel)
| Annual Bookings | Revenue Protected | TRRS Cost (2% avg) | Net Gain |
|---|---|---|---|
| 36,500 | $5,183,000 | $113,150 | $5,069,850 |
across a 1,000-room portfolio
Predictive AI modeling using Monte-Carlo simulation and exponential moving averages.
Real-world mitigation efficacy calibrated to Airbnb (2023 Trust Report) and Booking.com risk systems.
Actual results may vary — pilot data will replace predictive modeling in Q1 2026.
Traveler’s Karma | U.S. Provisional Patent 63/897,859 | Veteran-Owned | November 2025
How TRRS Protects Your Revenue
Real-world data + predictive AI modeling = 83% reduction in preventable losses
at just 1.5% – 3% of booking value
Industry Benchmarks (2023–2024)
Revenue Impact (1,000 Bookings)
Predictive AI modeling using Monte-Carlo simulation and exponential moving averages.
Real-world mitigation efficacy calibrated to Airbnb (2023 Trust Report) and Booking.com risk systems.
Actual results may vary — pilot data will replace predictive modeling in Q1 2026.
Traveler’s Karma | U.S. Provisional Patent 63/897,859 | Veteran-Owned | November 2025