In HotelCUBE International the stages on which the maximization of revenues is founded, are fully automated and do not require any technical or mathematical skills.
The Revenue Manager will have a series of statistics on the historical and forecast of occupancy.
Since the RM can work only on the rooms he manage, the module excludes from the counting rooms in allotment and those assigned to specific business segments on the basis of the experience or the statistical data.
Profiles:
This instrument provides, on the basis of historical data, the impact on occupancy for the segments of clients on each day of the week. A profile is constituted with a set of identifiers (Rate, expense of the room, residual expense treatment, extras, lead times, etc.) to which you can associate a "weight". In the case of unstructured archives (where the use of client segment, the market of origin, etc.. were not managed carefully) or coming from other applications of hotel management, it is possible to utilize the process of data mining of HotelCUBE International to obtain the client segmentation.
Forecast:
It is possible to execute forecasts for a short term and long time span. A collection of statistics, carried out either on historical data or on reservations with future dates, provide a support to the RM to determine the forecasted occupancy. The occupancy is stored in order then to be used during the phase of Optimization.
The statistics support are:
- Historical series (presences and rooms)
- Reservations acquired
- Cumulative curves of reservation
- Events table. Besides to define the forecasted occupancy rates, it is possible to declare the dates of "alone".
Laying upon the contents of the table events to the graphs of historical series, the RM can be oriented in order to decide the Events-Reservations relation.
For the forecasts, the occupancy can be determined through the method of “pick up” or ARIMA (Auto Regressive Integrated Moving Average).
Optimization:
The optimization identifies the price under which you cannot sell (method of Bid Price) or it assigns a maximum number of available "rates" for each customer segment (Nesting method). The RM, supported by statistics and graphs of the forecasts, can determine day by day the allocation of tariffs. The staff of the booking will see exclusively the rates available for customer segment, and if none is applicable, one can easily record the regret or denial.
Control:
The optimization comes executed taking advantage of the indications of the forecasts. But how much has been demonstrated reliable? Through the techniques of the MAD/E and the Tracking Signal indices and diagrams come supplied and concur to control reliability of the forecasts.
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