Pace Data Missing for Last Year

This information only applies if your property's Reservation System The primary reservation system, like a PMS or CRS, that provides data to G3 RMS. The data from that one system is used by the RMS to forecast, optimize and produce controls. The controls are sent to all selling systems, which for some integrations may exclude the reservation system. is Opera with OXI interface, or if it is based on HTNG Hospitality Technology Next Generation is an association that creates standards to enable better integration between systems. Examples of reservation systems that use the HTNG standard are: Protel i/o, Suite8, NEC, Spectra, WebRezPro, Vail LMS, Infor HMS, Newbook, RMS PMS. standards.

Group Pace Initialization Period

If your property's Reservation System The primary reservation system, like a PMS or CRS, that provides data to G3 RMS. The data from that one system is used by the RMS to forecast, optimize and produce controls. The controls are sent to all selling systems, which for some integrations may exclude the reservation system. is Opera with OXI interface, or if it is based on HTNG Hospitality Technology Next Generation is an association that creates standards to enable better integration between systems. Examples of reservation systems that use the HTNG standard are: Protel i/o, Suite8, NEC, Spectra, WebRezPro, Vail LMS, Infor HMS, Newbook, RMS PMS. standards, your reservation systems aren't sending G3 RMS the date on which a group block is booked. Since these reservation systems don't send booked dates for group business, STLY data for group is incorrect. G3 RMS can't show only transient STLY data and hide group STLY data. Therefore, it doesn't display any STLY data until it captures one year of data.

In this case, G3 RMS uses a Group Pace Initialization Period to understand group booking patterns for your property.

With other reservation systems, G3 RMS uses the booking dates of past group blocks to understand group booking patterns, specifically Booking Pace Measures how the occupancy changes as the arrival date approaches. It shows the speed at which reservations are booked. and Wash The drop in occupancy due to cancellations, no-shows, group cut-offs, etc. For future dates, the percentage is the expected drop for the Peak Demand. For past dates, it is the expected wash as of the last optimization.. In other words, group block booking dates impact the system's forecasts of group remaining demand and group wash.

Without booking dates for past groups, G3 RMS uses a 90-day Group Pace Initialization Period. During this time, G3 RMS temporarily uses the data from future groups to understand group booking patterns. The system doesn't receive the booking date for future groups either, but it knows the date on which the block was first created and uses that as the booking date. During this temporary phase, G3 RMS collects daily pace information, which provides a much more detailed picture of group booking patterns. After it learns from 90 days of daily pace, G3 RMS updates the booking pace patterns that it uses to forecast group remaining demand and wash. After this period, G3 RMS continues to learn and improve booking patterns.

The 90 days required for the Group Pace Initialization Period might need to be extended for properties with very long booking windows

Improving the Forecast during this Period

How is the Group Demand Forecast Impacted by Missing Group Booking Dates? The missing dates apply mostly to the timing of remaining demand. For example, G3 RMS expects a total of 100 rooms to be booked by group guests. The group booking pace indicates that 75% of those guests book prior to 28 days. In this example, the remaining demand forecast shows that 25 rooms of remaining demand for groups exists 28 days out.

You can use different methods to improve your group forecast during this period. How you do so depends on when you completed the Create and Commit Forecast Groups process. If you are unsure about your timing, speak with your primary IDeaS contact. Regardless, G3 RMS does not display STLY data until one year of data capture.

During the 90-Day Group Pace Initialization Period

G3 RMS is still using booking patterns based only on future groups. You likely know more about group demand and wash than G3 RMS. Review forecasts and decisions closely before you move into Decision Delivery Mode A processing status in which G3 RMS is producing forecasts and decisions, and sending them to the selling system..

• Review the remaining group forecast and, if necessary, override remaining demand and its wash by Forecast Group.
• Review the wash of existing groups on books and, if necessary, override wash by Individual Group.
• When G3 RMS collects 91 days of pace, it optimizes using the updated booking patterns. After the first optimization, you might see changes in forecasts and decisions. Review them closely.

After the 90-Day Group Pace Initialization Period

When you commit Forecast Groups after the 90-day period, G3 RMS uses booking patterns based on the 90-day period to forecast group demand and wash. Continue to review your forecasts and decisions, since G3 RMS continues to learn and update the booking patterns.

Forecasting without STLY Data

Because you can't see STLY data in G3 RMS, you might be concerned about the system's forecasting performance. Although G3 RMS can't display any STLY data because group STLY is incorrect, it does have booking pace data available for forecasting. Transient booking pace data is available for both historical and future bookings. For group booking pace, the system uses data from future groups and constantly improves booking patterns based on daily pace data.

Furthermore, while STLY data is a critical factor in manual forecasting, it is only one of many data points that G3 RMS uses for forecasting. And G3 RMS uses a much more granular approach, with a separate forecast for each Forecast Group and Room Class combination. For more details, see How G3 RMS Calculates Unconstrained Demand Forecasts.

Therefore, G3 RMS can produce robust group demand and wash forecasts even when the system starts out without STLY data for historical group blocks.

Overriding Wash During this Period

Since group booking pace impacts the demand forecasts, it can affect Last Room Value (LRV), which in turn can affect pricing decisions. However, overbooking is most directly impacted. The group booking patterns used during the 90-day period tend to have lower wash and therefore lower overbooking. On the other hand, if the data from future group blocks indicates a large amount of group cancellations, G3 RMS increases overbooking accordingly. Therefore, sharing with G3 RMS what you know about group wash is particularly important during the Group Pace Initialization Period.

After the end of the Group Pace Initialization Period, you might see changes to forecast and decisions, particularly to overbooking. You might notice that overbooking values increase after the Group Pace Initialization Period ends.