Pearson New International Edition International pcl tp indd 1

FRONT OFFICE SEMANTICS LIST
MANAGING FORECAST DATA
Sellout
Global Distribution System
(GDS)
Occupancy forecast
Availability forecast
Track
Historical data
Current data
Future data
Stayover
No-show
Early departure
Overstay
Cancellation number
YTD (year to date)
On-the-books
Distressed passenger
Convention and visitors bureau
(CVB)
Package
Group
Block
Group history
Trend line
Competitive set
STR index
E-distribution channel
Feeder market
Group (reservation)
DOS (director of sales)
Peak night
Pickup
Host hotel
Cut-off date
Pick-up report
Reservation, guaranteed
Rooming list
Extended forecast
GoPar (gross operating profit
per available room)
Low balling (forecasts)
FRONT OFFICE AND THE INTERNET
FOMs must thoroughly understand the forecasting components built into their
property’s PMS. Additional forecasting resources can be useful and here are some
examples:
Web address
Subject area
www.vanguardsw.com/decisionpro/jforecast.htm
Forecasting software
www.claritysystems.com
Forecasting software
www.optims.com/UK/rush/optims_rms.htm
International forecasting 
software (English
version)
www.smithtravelresearch.com
Industry data compiler
www.htrends.com
Industry trend reporter 
and data publisher
www.travelclick.com
E-commerce industry 
data compiler
future. Often, the best predictor of what 
will happen
is what 
has happened. STR reports and other data
produced in the hotel or the local area may give
Renee useful information about city or state trends
that could affect her October forecast.
Unlike bookings for individual travelers, group
bookings are frequently made months or even
years in advance and will have a significant impact
on Renee’s forecast. Therefore, Renee needs to
communicate with sales and marketing depart-
ment personnel about their revenue forecasts for
October so that she can improve her forecast.
Outstanding record keeping and a willingness to
collect and evaluate quality data from a variety of
sources will help Renee excel at the important task
of revenue forecasting.
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