Set the conditions that matter
Use product, season, weekday, time, occupancy and advance-booking conditions. Preview the actual price effect on the relevant ticket or rental before saving a rule.
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The right price. Inside your limits.
Adjust rates for the season, the day, how full a departure is and how soon it leaves. Preview rules, explore a strategy against past bookings and keep price changes inside limits you set.
See Smart pricing in action
Connected to the
rest of your business.
- Demand, occupancy and lead-time pricing rules
- Guided setup, previews and historical backtesting
- Price guardrails and locked checkout quotes
Smart pricing is an optional add-on. Weather and AI price suggestions need activation; your team sets the limits and reviews suggestions. Backtests illustrate the price effect at unchanged demand, not a revenue guarantee.
Start with the demand. Keep control of the price.
A nearly full sunset departure and a quiet weekday need different decisions. Put those decisions into understandable rules before a guest reaches checkout.
Build a strategy inside your limits
The optional guided setup uses your booking history to suggest a starting point. Set floors, ceilings and change limits, then backtest the price effect against past departures.
Keep checkout predictable
The booking stores the pricing context and applied rules. Locked quotes protect the checkout price; existing reservations retain their historical charges. Activated AI suggestions remain subject to your limits and review controls.
A quiet weekday and a busy departure need different decisions.
Inspect a strategy against past bookings before deciding how it should affect future eligible prices.
Make the conditions understandable
Use the relevant season, day, lead time and occupancy rules. Preview the price effect and set floors, ceilings and change limits.
Keep the evidence in perspective
A backtest shows the price effect at unchanged demand. Review optional activated suggestions inside your guardrails; it does not predict extra bookings.
A few things
worth knowing.
Does AI change prices without our permission?
New smart-pricing strategies start in Suggest mode. Your operator controls the selected products, limits and activation. AI and weather layers need separate activation; ordinary pricing rules can be managed directly.
Does a backtest predict extra revenue?
No. It shows the price effect assuming the same guests would have booked. It helps you inspect the strategy, not promise future demand or revenue.
What happens to bookings already made?
Existing reservations retain their historical charges, and locked checkout quotes protect the quoted price. New applicable prices follow the configured rules and strategy controls.
See it working together.
Price the experience. Make room for the extras. Different dates, durations and demand call for different decisions. Configure those decisions before guests reach checkout.
Your next chapter.
A lot less busywork.
Let’s walk through what EMBRK.AI could look like for your business.