Feature Requests

When we have a new reservation, say for New Year's Eve, it's common to manually adjust rates and/or LOS requirements around the booking. But, if that reservation cancels, all of those changes need to be reverted, and they need to be reverted quickly to prevent someone from booking similar dates at altered requirements (rate or LOS). Having a trigger, like a specific reservation number cancelling, that automatically undoes the changes would solve this perfectly. (User would probably have to make all the needed adjustments under 1 "save" so that they can all be undone under one "undo", but aside from that requirement, this should work.

Would be great to have a mobile app for Wheelhouse for easy on-the-go changes

Currently, we can select by Adj. Occupancy, Avg. Daily Rate, Booked Nights, Lead Time, and Total Revenue. RevPAN is arguably the most important metric, and it would be beneficial for everyone if it were added.

We have 2 identical one-bedroom cabins. We would like to ensure the pricing remains consistent between both cabins, but still allow it to fluctuate according to demand.

It would be great to be able to manually add in local events and track them through Wheelhouse

Flexibility to set up long term discounts according to the demand

Adjust minimum stay requirements dynamically based on demand forecasts and local event calendars

Only options right now: Offer a discount from 7 nights or one month. Maybe provide more customizability. One potential feature: Setting discounts based on the number of nights booked (5% for two nights, 10% for 3 nights, etc.) Also custom long-term discounts by specific month (30% off in January, 10% off in June, etc.) Also, possibly add the functionality for long-term stay rate increases instead of just discounts from normal rates.

The ability to bulk sync all calendars from the front end and also being able to select multiple listings to sync

The ability to see to know how long a guests stays. Being able to track the average stay in detail. For example, if the average goes from 3.8 to 4.1 days, or so forth. Being able to track this data for the present and past to help understand the trends throughout time for the customer's own listings.