Plans change.
Stay a step ahead.
From tonight to the next 30 days, see each rate in context. H.OS follows bookings and results, bringing what it learns into the next recommendation.
Explore a 30-day plan ↓See how it learns ↗Interactive demo · Illustrative rates and scenarios · No live rate changes
Pick a date. See the thinking.
Weekends, holidays and changing bookings, day by day. Select a date to explore the recommendation and what to watch.
September 2026 · Sample month
Weekday · Weekend · Holiday window
Every result.
A new starting point.
Learning takes more than a new rate. The recommendation, your decision and the bookings that follow belong in the same record.
Notice the change
Read upcoming dates alongside booking pace and available rooms.
Suggest the next step
Offer a rate with its reasoning, while keeping decisions and operating limits in view.
Follow the outcome
Connect the recommendation, published rate and booking results. Incomplete data stays unverified.
Bring it forward
Use verified outcomes to inform the next recommendation, and keep watching comparable dates.
A clear record.
A better-informed decision.
Keep what was suggested separate from what actually happened. A change in revenue alone does not establish what caused it.
- The recommendation
- Suggested rate, stay date and supporting context
- The decision
- Accepted, adjusted or left unchanged
- The outcome
- Published rates, booking pace and transaction records
- What is still unknown
- Missing data and uncertain causes stay unverified
This page explains the product workflow. Internal model parameters, rule weights and training details are not disclosed. Recommendations depend on connected data and hotel configuration.
Want the reasoning behind tonight’s rate? Explore tonight’s pricing ↗