HotelsDynamic Rate Recommendation Engine
Maximizes RevPAR with the revenue manager steering strategy instead of exporting spreadsheets.
The work todayWhere the friction starts
Hotels teams lose time and context when this work depends on inboxes, portal hopping, spreadsheets and individual memory.
The workflow is fragmented across systems and people, creating coordination load, inconsistent handoffs and late exceptions.
The intended improvementMore room for your expertise
Maximizes RevPAR with the revenue manager steering strategy instead of exporting spreadsheets.
An intended benefit from the solution library. Validate it against your own process before implementation.
What this could look like
These illustrative stages describe a possible setup. They are not active capabilities or confirmed connections to your business.
Gather the request
Analyzes pickup pace, competitive rates, event calendars, and cancellation trends continuously.
Prepare the information
Recommends rate and restriction changes per room type and date, with the reasoning shown.
Human approvalHuman review
Revenue manager approves changes, overriding where local knowledge disagrees.
Approved next action
Pushes approved rates to the channel manager and tracks decision outcomes.
Adapt this idea to my business