Manual yield management doesn't scale
Hotels, ferries and event organisers know that adjusting price to demand pays, but doing it by hand takes a dedicated revenue manager, custom spreadsheets and constant attention. Many operators end up on static rates.
- Manual yield management needs someone watching it every day
- Spreadsheet-based pricing is slow and error-prone
- By the time prices are adjusted, the demand window has passed
- Dedicated revenue management systems are priced for large operators
- No record of why a price was set the way it was
How autopilot works
The yield optimiser proposes a price per date and unit; autopilot applies or queues it according to your rules.
Price per date and unit
The optimiser combines weekday, occupancy, lead time, demand drivers, the demand forecast and comp-set position into a suggested price, capped to a maximum overall change.
Your rules
Set minimum and maximum prices per unit, blackout dates that autopilot leaves alone, and a cap on how many changes a single run may apply.
Auto-apply threshold
Changes smaller than your threshold (8% by default, adjustable from 1% to 25%) apply automatically. Larger changes wait for a person to approve them.
Reason for every decision
Each decision records the factors behind it, such as weekday, occupancy, demand drivers and comp-set position, so you can see why a price moved.
Approval queue
Pending decisions can be approved or rejected from the decision history, and auto-applied changes can be reverted.
Key Benefits
Frequently Asked Questions
Will autopilot change my prices without approval?
Only changes smaller than your auto-apply threshold, within your price bounds and outside your blackout dates. Anything larger is queued for approval. With autopilot switched off, every decision is queued.
How is this different from a static pricing rule?
A static rule applies the same logic to every date. The optimiser looks at each date separately, using its forecast, demand drivers, lead time and comp-set position, so different dates and units get different prices.
Can I review the reasoning behind a decision?
Yes. Each decision records the factors that moved the price, shown in the decision history.
What if I disagree with a decision?
Reject it from the decision history, revert it if it was applied automatically, set the price by hand, or tighten your rules. Rejecting a decision does not change how future prices are calculated.
How do I start safely?
Run autopilot with a low auto-apply threshold, or switched off so that every decision is queued, and widen it once you trust the suggestions.