Accomodation Statistics for hotel management

1. SUBJECT: FRONT OFFICE MANAGEMENT
MODULE: 1st Accommodation Statistics
2ND Year
IIHM DELHI
21ST JUNE,2022
FACULTY – Ms. JYOTI SEHRAWAT

2. LEARNING OBJECTIVES:
Acknowledge the importance of room availability forecasting
and relate it to effective planning and evaluation operations.
Calculate Room position
Definition of Forecasting,
Calculation of room position using the simple formula
Occupancy ratios and revenue analysis

3. Forecasting:

4. Forecasting:
 The most important short-term planning that front office managers do is forecasting.
 The number of rooms available for future reservations.
 Room availability forecasts are used to help manage the reservations process and guide front
office staff ineffective rooms management. Forecasting may be especially important on nights
when a full house (100 percent occupancy) is possible

5. Purposes of Forecasting:

6. Purposes of Forecasting:

7. Influences on Forecasting:

8. Internal Factors Influencing Forecasting:

9. External Factors:

10. Data for Forecasting:

11. Sample Forecast Forms:
Ten-Day Forecast.
At most lodging properties" the ten-day forecast is developed 3ointly by the front office manager
and the reservations manager" possibly in con3unction with a forecast committee. *any properties
develop their ten-day forecast from their yearly forecast. A ten-day forecast usually consists of:
 Daily forecasted occupancy figures" including room arrivals" room departures" rooms sold" and
number of guests
 The number of group commitments" with a listing of each groups name" arrival and departure
dates" number of rooms reserved" number of guests" and perhaps ‘quoted room rates
 A comparison of the previous periods forecasted and actual room counts and occupancy
percentages

12. Three-Day Forecast:
 A three-day forecast is an updated report that reflects a more current estimate of room
availability.
 It details any significant changes from the ten-day forecast.
 The three-day forecast is intended to guide management in fine-tuning labor schedules and
adjusting room availability information.
 In some hotels" a brief daily revenue meeting is held to focus on occupancy and rate changes for
the next few days. The results of this meeting are often included in the three-day forecast.

13. Forecasting Formula:

14. Other Formulas:
 Occupancy % = Rooms Occupied / Rooms Available
 Average Daily Rate = Total Room Revenue / Total Rooms Occupied
 Rev-par = total room revenue / total rooms available
 Walk-In %age = Total no. of Walk-ins in a specific duration/ Total no. of check-outs in
that duration *100
 %age of under-stay = Total no. of under-stays in a specific duration/ Total no. of check-
outs in that duration * 100
 %age of no-shows = Total no. of no-shows in a specific duration/ total no. of reservations
in that specific duration * 100

15. Other Formulas:
 %age of over-stays: Total no. of overstays in a specific duration/ Total no. of check-outs in that
duration * 100
 Total availability of rooms: Total guest rooms-OOO rooms – Total no. of stayovers- Total no. of
reservations + no. of reservations * % of no-shows + no. of understays- no. of overstays.

16. Keywords:
 Forecasting :
The process of predicting events and trends in business; typical forecasting for the rooms division
includes room availability and occupancy.
 Overstays:
Guests who stay after their stated departure date.
 Stayovers:
A room status term indicating that the guest is not checking out today and will remain at least one more
night; a guest who continues to occupy a room from the time of arrival to the stated date of departure.
 Under-stays:
Guests who check out before their stated departure date.
 House count:
The forecasted or expected number of guests for a particular period, sometimes broken down into group
and non group business

17. References:
 Hotel Front Office( Operations and Management) –Jata Shankar R. Tewari
 Front Office Operations and Management-Ahmed Ismail
 Check-In and Check-Out (Managing Hotel Operations)-Gary k. Vallen, Jerome J. Vallen.
 Managing Front Office Operations-Kasavana