Know when you're full, when you're empty, and what to charge.
Every hour of every day shows actual sold-vs-offered. The model knows what your peaks pay and what your shoulders won't tolerate — and tells you exactly which slot to open next.
Every hour. Every room. One grid.
Sold-vs-offered by slot, visualized as a day-by-hour heatmap across your full history. See at a glance which windows sell out in minutes and which ones you're giving away at full price.
- Sliceable by room, product, or channel — switch views without leaving the screen.
- Peak flags — any slot sold out 4+ weeks running gets a callout and a recommendation.
- Shoulder gaps — low-utilization windows are highlighted with an actionable discount suggestion.
- 8-week and 12-week rolling views so seasonal patterns are visible, not hidden.
Surcharge your peaks. Fill your shoulders.
Set a floor, a ceiling, and a day-of-week rule. Reservory adjusts price automatically as demand signals shift — no nightly spreadsheet, no forgotten manual update. Guests see the real price at checkout.
- Weekend peak surcharge — automatically applied when a window hits your sell-through threshold.
- Shoulder discounts — weekday afternoons priced down to fill, with a floor you control.
- Blackout overrides — lock price on holidays or events so automation doesn't undercut you.
- Per-product rules — different floors and ceilings for a kids' experience vs. a premium room.
One number. One action. Confidence attached.
The platform watches demand signals across your calendar and produces a short list of concrete actions: open a slot, retire one that never fills, add a second room to a product that overflows. No report to interpret — just a recommendation with a revenue estimate and a confidence score.
- Slot recommendations — “Add Sat 6 PM · +$1,840/mo · 96% confidence.”
- Retirement suggestions — slots with chronic <20% utilization flagged for removal.
- No-show prediction — high-risk bookings scored and flagged before the window closes.
- Auto-deposit trigger — collect a hold on flagged bookings without manual review.
The hour you're empty is the one you can't refund.
Capacity is perishable. A slot that passes unsold is gone. The heatmap, pricing rules, and recommendations exist to shrink that gap — systematically, not manually.
See the problem before it costs you
Chronic shoulder gaps and recurring sell-outs are both visible in one grid. You see them before a season repeats.
No spreadsheet required
Rules run automatically. Peak surcharges apply when thresholds are hit. Shoulder discounts fill before the slot expires.
Plain English, not a dashboard
One action, one number, one confidence score. Enough to make a decision in 10 seconds — not a consultant's deliverable.
Good to know.
How does demand-based pricing actually work?
The model watches historical sell-through by slot. When a peak window fills fast, it adds a configured surcharge automatically. When a shoulder window underperforms, it applies a discount. You set the floor, ceiling, and day-of-week rules — the platform executes them without a nightly task.
What does a capacity recommendation look like?
“Add a Saturday 6 PM slot for Spaceship — +$1,840/mo · 96% confidence.” One number, one action, confidence score attached. Not a report you have to interpret.
How does no-show prediction work?
Bookings are scored at creation and again 24 hours before. High-risk bookings — large party, no waiver, last-minute, discount-channel — get flagged so you can auto-collect a deposit or send a reminder before the slot is wasted.
Can I see utilization by room, product, or channel?
Yes. The heatmap is sliceable by any combination of room, experience, booking channel, or party size. Switch the view and the grid re-renders — same layout, different slice.
Stop leaving empty slots on the calendar.
Start a free trial and connect your schedule this afternoon, or open the live demo to see the heatmap and recommendation engine on sample data.