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H O T E L REVENUE MANAGEMENT 
REVENUE MANAGEMENT 
It Really Should Be Called Profit Management 
$ 
>> 
6 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 by Mark Haley & Jon Inge 
Every hotel manager, operator 
and owner has a fundamental 
obligation to optimize the 
long-term profitability of the 
assets he or she oversees. Ful-filling 
this obligation means increasing rates 
during busy periods and dropping them dur-ing 
slower times to maintain occupancy or it 
means incurring expenses like a room reno-vation 
or investment in technology. Given the 
uptick in demand of the past year, one area of 
investment more and more hotel companies 
are evaluating is revenue management (RM). 
Hoteliers believe that they can drive increased 
profitability using RM tools and techniques. 
Revenue management is more complex 
than ever and potentially more rewarding, 
too. The entire organization must pull to-gether 
to make revenue management suc-cessful, 
but the right RM implementation can 
positively drive results, creating not only rev-enues 
but also profits. 
Most practitioners accept that imple-menting 
revenue management in a hotel can 
increase revenues 3 percent to 6 percent. 
Many have won much greater increases. 
Affinia Hospitality saw revenues increase 17 
percent over the prior year in the first month 
after implementing manual RM processes in 
a new central reservations office. The Mil-lennium 
Bostonian Hotel paid back all of 
their start-up costs and more in the first 
month after converting from manual RM pro-cesses 
to an ASP-based service. Harrah’s En-tertainment 
credited its RM system (installed 
in 2001) with increasing room and gaming 
revenues 13 percent for the year in 2002. 
Focus on that for a moment. 
Implementing revenue management 
can increase revenues 3 percent to 6 per-cent, 
or more. 
Then consider that most of that incre-mental 
revenue flows through to operating 
profit. So, you might think you can increase 
profitability merely by installing a computer 
system. Well, not exactly: Revenue manage-ment 
is not a computer system or a set of 
arcane statistical algorithms. It isn’t even a 
department in your hotel. Put most simply, 
revenue management is a way of doing busi-ness 
that means every department focuses 
on what they need to do to drive the total 
profitability of the organization. Computer 
systems drive a much more disciplined and 
consistent implementation of RM, but the or-ganization 
must embrace the cultural shifts 
required to benefit from revenue manage-ment. 
It’s the culture, not the computer. 
How Did All This Start? 
Let’s examine the history of RM and 
some of the basic concepts. Many people 
correctly observe that there is nothing new 
about revenue management. Anyone selling 
a perishable product knows that you need 
to flex your pricing in accordance with de-mand, 
lead time, competitors and a host of 
other factors. Hotel rooms, airplane seats, 
advertising time, fresh produce and winter 
clothing are all subject to revenue manage-ment 
tactics. 
Revenue management as a formal dis-cipline 
has its origins in the domestic Ameri-can 
airline industry of the 1970s. Estab-lished, 
regulated airlines were threatened by 
unregulated charter competitors. American 
Airlines (AA), led by the legendary Bob 
Crandall, sought to cut the charters off at the 
pass. AA did so successfully with advance 
purchase restrictions on deeply discounted 
fares. Thus was born yield management 
(YM), the precursor to today’s revenue man-agement. 
AA and other airlines refined and ex-tended 
their YM capabilities during the early 
years of deregulation, ultimately giving them 
the ability to price every seat on every flight 
for maximum value, selling low cost seats to 
price-sensitive travelers (usually the leisure 
segment) and high-cost seats to time-sensi-tive 
travelers (usually on business). The im-pact 
and benefit of these capabilities became 
transparent to all observers by the end of 
1985, when AA reported 48 percent profit 
growth on 14.5 percent revenue growth, 
while low-cost competitor People’s Express 
was hemorrhaging customers and cash. 
These financial results and the overwhelm-ing 
competitive advantage attracted a great 
deal of attention from many industries. 
Cruise lines, car rental agencies and ho-tel 
companies started to evaluate the ben-efits 
of adopting YM as a business strategy. 
Early adopters in the hotel space included 
Marriott International, Holiday Inns World-wide 
(now InterContinental Hotels Group), 
Hilton Hotels Corporation and ITT Sheraton. 
Organizations with centralized information 
systems and management structures adopted 
centralized systems. More decentralized 
organizations sought property-based systems. 
$$$ Put most simply, 
revenue management 
is a way of doing 
business that means 
every department 
focuses on what they 
need to do to drive the 
total profitability of the 
organization.
What Does RM Mean? 
As yield management matured into rev-enue 
management, the standard definition 
of the art evolved: Revenue management is 
the practice of selling the right product 
(room, seat and banana) for the right price 
(rate and fare) at the right time to the right 
customer. In the era of compound distribu-tion 
channels and merchant model outlets, 
we can also add via the right channel. Dif-ferent 
channels demand different prices and 
yielding strategies, and guests have come to 
expect different prices by channel because 
the product itself is subtly different on each. 
A good example of differentiation by service 
could be a low-priced merchant model room 
sale that excludes frequency program points 
or upgrade benefits. 
Drilling down on that definition a little 
bit, let’s see what it takes to execute against 
it. The first building block is an accurate 
record of demand for past arrival dates with 
arrival date, departure date, booking date, 
rate and market segment, including book-ing 
channel, captured for every reservation. 
The system then calculates the day of week 
(DOW) for the arrival and departure dates 
and length of stay (LOS). Ideally, you will 
start with just over a year’s worth of history, 
but that often is not practical. 
The next element is data about known 
demand for future arrival dates, again by seg-ment. 
The revenue management system 
(RMS) extracts this data from the PMS or 
CRS daily (or more often) on an on-going 
basis. The historical data, in combination 
with the known demand for future arrival 
dates, is then used to forecast demand by 
segment for all future arrival dates within a 
defined window. This forecast is usually sen-sitive 
to DOW factors and seasonal and secu-lar 
demand shifts. 
The system then optimizes the available 
rate and stay pattern controls against the fore-casted 
demand and makes recommendations 
as to what controls to apply on what arrival 
dates to generate the most total revenue. 
Finally, the system captures actual perfor-mance 
(again via extracts from PMS or CRS) 
8 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 $>> 
on the arrival date and, in some cases, modi-fies 
the forecasting and optimization algo-rithms 
for no shows or walk-ins and the 
impact of the controls actually imposed. This 
element closes the feedback loop and makes 
the system heuristic, able to learn from its 
experience over time. 
Some of today’s sys-tems 
optimize ancillary 
revenues as well as room 
revenue. In this scenario 
management provides an 
estimated profit margin 
for each ancillary rev-enue 
stream (casino play, 
lift tickets and food and 
beverage sales) as well as 
rooms margin. The sys-tem 
then generates rec-ommendations 
that opti-mize 
profit rather than 
revenue. For example, 
Intrawest Resorts’ group 
RM module may recom-mend 
accepting a group 
with a ski lift ticket com-mitment 
at a lower room 
rate than would be sold to 
transients with a smaller 
lift ticket revenue forecast. 
The same logic applies to 
optimizing room revenue 
by cost of distribution 
channel. 
Most RMSs provide a 
choice of merely offering 
up recommendations or 
automatically triggering 
status and inventory con-trols 
in the PMS or CRS. 
A recommendation-driven 
system requires 
more time, expertise and 
attention from the hotel’s 
revenue manager to enter 
the recommendation into 
the PMS, CRS or other 
channel. A command-driven 
system automates 
the input, but naturally re-quires 
a more robust inter-face 
to the PMS or CRS. 
There are also hybrid solutions that allow 
hotels to establish parameters defining the rec-ommendations 
that can be implemented auto-matically 
vs. those that need to be reviewed be-fore 
implementation. In these systems all, some 
or no recommendations can be deployed auto-matically 
depending on the client’s needs. 
Some PMS or CRS products offer auto-mated 
yielding tools that may appear to sup-port 
RM functions. These features allow the 
hotel to define business rules sensitive to real-ized 
demand that trigger status controls when 
“X” number of rooms are booked for a given 
arrival date. While these triggers offer value and 
discipline in managing inventory, they are reac-tive 
rather than proactive, responding only to 
pre-set triggers and not identifying changes in 
booking pace. We would label these features as 
rate management, and argue that they do not 
represent revenue management because they 
lack the crucial forecasting and revenue opti-mization 
algorithms. 
Likewise, a number of business intelligence 
H O T E L REVENUE MANAGEMENT 
Sample Calendar View of an RMS. This screen is where the revenue manager typi-cally 
first goes in the system. Note flags for high or low occupancy, special events 
and alerts. These flags make the Calendar View exception-driven, so the revenue 
manager goes straight to the arrival dates flagged as opportunities to increase rev-enue. 
Screen shot courtesy of IDeaS, Inc. 
The Revenue Management Cycle
H O T E L REVENUE MANAGEMENT 
(BI) tools provide tremendous analytical support to the revenue man-agement 
function. Decisions, from Datavision Technologies (http:// 
datavisiontech.com/index.html), extracts a wealth of PMS data on past 
and future performance and presents it in an accessible and interac-tive 
manner facilitating decision-making, but not necessarily calculat-ing 
forecasts and optimized controls. Affinia Hospitality feeds data 
from their internally developed RM tools, CRM system and other data 
streams into a BI cube for analysis, decision support and strategic 
planning in revenue management as well as throughout the enterprise. 
Revenue Management 101 
Let’s review some of the fundamental concepts underlying rev-enue 
management. 
Rate vs. Occupancy vs. RevPAR - In hotel school we were 
taught to look at average daily rate and occupancy rate. One tells us 
how much we got for each room and the other how many of our avail-able 
rooms we sold. Both are useful, but both only tell part of the 
story. A hotel company looking at its business from a revenue man-agement 
perspective is more interested in RevPAR, or revenue per 
available room. RevPAR elegantly expresses both variables in a single 
number. 
The RM-enabled hotel company establishes incentive compen-sation 
based on RevPAR rather than rate or occupancy, allowing for 
effective comparison of performance across properties and time peri-ods. 
This dissuades staff from increasing occupancy solely by selling 
rooms at heavily discounted rates or selling very few rooms at high 
rates. 
Unconstrained vs. Constrained Demand – Unconstrained 
demand is the RM term for the total demand for rooms on a given 
arrival date if you could in fact provide rooms for all of that demand. 
Constrained demand means the total demand you can serve, subject 
to the number of available rooms. 
Sometimes the concept is applied when a limit on one resource 
reduces the revenue potential of another resource. For example, a 
lack of guestrooms can constrain the revenue potential of the casino 
floor at Harrah’s. Harrah’s Director of Revenue Management Steve 
Pinchuk said, “We calculate total RevPAR as (room revenue + gaming 
revenue)/rooms available and our Rainmaker RMS optimizes on that 
basis.” 
Displacement Cost – Displacement cost refers to the revenue 
potential lost, or displaced, to the enterprise incurred by accepting 
one piece of business over a competing opportunity. When a hotel 
accepts a group, it may have to refuse some volume of non-group 
business as a result. The revenue from that non-group business is 
therefore displaced, but the question is whether the accepted revenue 
R e v e n u e M a n a g e m e n t 1 0 1 
Total Room Revenue 
Total Available Rooms 
10 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 
Sample Booking Pace graph. Most RM systems present a number of ways to 
look at Booking Pace. This graph shows both definite (blue) and tentative 
(purple) bookings over the 90 days prior to arrival in a 420-room hotel (hori-zontal 
black line). Note the sharp drop-off in tentative rooms at about Day -5, 
indicating the hotel reduced group blocks. Screen shot courtesy of EasyRMS 
is greater than the displaced revenue. When it isn’t the net displacement is 
negative. If the Sheraton Boston Hotel & Towers accepts a low-rated “leaf-peeper” 
bus tour for the October foliage season, it risks a net negative dis-placement 
cost due to not having rooms available for higher-rated corporate 
>> 
group or transient business. 
Spoilage – This is exactly what it sounds like: inventory that goes un-sold 
when there is unsatisfied, constrained demand in the market. Reasons 
for spoilage include a poor forecast that leads the revenue manager to hold 
too many rooms for late sale at a high rate but the demand never material-izes, 
bad weather occurs or a group block cancels at the last minute. 
Booking Pace – Booking pace is the number of rooms reserved for 
an arrival date (day 0) as of each preceding booking date (day minus 30, 
day minus 60). Typically represented graphically, booking date on the X-axis 
and number of rooms booked as of the date on the Y-axis. Revenue 
managers must intimately understand their booking pace by day of the week. 
Data Extract – Reliably extracting data about past demand, future 
demand and actual performance from the hotel’s PMS or CRS is often the 
most problematic aspect of an RMS implementation. A key point in selecting 
an RMS is the stability and reliability of the data extract process. It’s critical 
that the systems work well together. 
Controls – Revenue management uses controls to fit forecasted, un-constrained 
demand into available rooms to optimize total revenue. Price is 
a key control. Others speak to behavioral “fences” governing stay pattern, 
including Saturday night stayovers, minimum length of stay and so on. Let’s 
look at a few examples. 
Rate Tiers – Remember when the term rack rate meant something? 
Today, RM-enabled hotels are more likely to have multiple tiers of rates that 
are applied to any given arrival date according to forecasted, unconstrained 
demand and how far out the booking date is. Sometimes expressed as “A 
Rates, B Rates, …” or “BAR 1, BAR 2, ….”) where BAR means best avail-able 
rate. 
Minimum Length of Stay (MLOS) – MLOS represents one of the 
key controls available to the hotel revenue manager. Applied in the PMS and 
CRS, MLOS increases the total revenue from rooms available for brief peaks 
by selling them only to guests willing to stay on shoulder nights around the 
peak. For example, the gracious and historic White Elephant Inn on Nan-tucket 
Island routinely applies a three-night MLOS restriction on every week-end 
in the summer. If you want a Friday/Saturday night stay, you need to stay 
There are two equivalent ways to calculate RevPAR: 
ADR x Occupancy Percentage 
= RevPAR 
= RevPAR
H O T E L REVENUE MANAGEMENT 
Thursday or Sunday as well. However, in 
April you are welcome to come for only one 
night on any day of the week. MLOS controls 
have the singular advantage of being easy to 
explain to the guest, an attribute not all RM 
controls share. 
No Arrivals/No Departures – Often 
used inside an MLOS restriction, a no arriv-als 
control disallows reservations from ar-riving 
on the specified date(s), even if they 
exceed the MLOS. Conversely, no departures 
inhibits departures. The result is to minimize 
a peak or valley during the period and spread 
more revenue over more days. 
Stay-Throughs Allowed – Perhaps 
more of an exception than a control itself, 
stay-throughs will allow any reservation of 
more than “X” nights to be booked despite 
the other controls that are in force, includ-ing 
a stop sale. 
Where Is RM Going? 
Today, revenue management is an ac-tive 
and vibrant market with numerous sys-tem 
vendors and consulting shops vying for 
any hotel’s business and promising endless 
profits raining from mountains of new rev-enue. 
There are more vendors offering sys-tems 
than ever before and they all report in-creased 
demand for their products. These 
vendors believe the market opportunity be-fore 
them is immense. 
A survey of RMS vendor executives ask-ing 
them to estimate the current market pen-etration 
of automated RMSs received re-sponses 
ranging from 6 percent to 11 per-cent 
penetration, converging on 10 percent. 
Tom Walker of The Rainmaker Group said, 
“Thousands of hotels representing millions 
of rooms stand to increase revenues and 
profits by embracing revenue management 
as a way of life.” Walker’s colleagues and 
competitors agree. John Romeo, co-founder 
of Trend FX Solutions, Inc., said, “ASP-based 
systems open up the rest of the market for 
automated revenue management solutions.” 
Application service provider (ASP) sys-tems 
allow the hotel to skip buying hardware 
and software and instead rent the right to 
use it on a monthly subscription basis. Mov-ing 
from property-based systems to ASP-based 
systems is one of the major trends in 
the RM industry today. ASP-products reduce 
the cost of entry to the point that virtually 
any hotel can afford the start-up fees and 
monthly subscription fees. IDeaS Revenue 
A DAY IN THE LIFE OF A REVENUE MANAGER 
Christopher Bates is the regional director of revenue management for Millennium Hotels in the 
Americas. Hospitality Upgrade wanted to know what revenue managers do all day. We asked 
Bates: he laughed, took a deep breath and started talking—fast. 
“Every morning starts with a review of the 
nightly reports – the pick-up reports for the 
previous day, the revised forecast through 
month end, and so on – to see what changes 
have occurred, in which market segments and 
for which dates. We also look at any flags the 
revenue management system has come up 
with for us to review,” said Bates. 
These changes are then reported to the other 
department managers at the morning’s 
operations meeting, where they discuss actions 
to cover any specific issues. “And there’s 
always something!” said Bates. “Then we go 
back to make the various rate/room availability 
changes we need in the different distribution 
channels – the PMS reservations module, the 
CRS, GDSs, merchant model extranets and so 
on – and update the forecasts once again. 
“It sounds obvious, but it’s essential to make 
sure you do have availability where and when 
you need it, and that never stops for the rest of 
the day. You have to check today’s figures to 
see if you want to put any last-minute availability 
out on the merchant models, make sure VIP 
arrivals have the right room blocked, review 
guest requests to make sure you haven’t 
overbooked specific room types you’ll need 
later, monitor extranet allocations and pick ups, 
check call conversion rates, keep an eye on 
the reasons for declines and denials to 
understand the actual demand,” said Bates. 
Optimization CEO Ed Booth said, “Given the 
business conditions affecting the hospitality in-dustry 
after Sept. 11, we took advantage of that 
time to completely re-tool, revise and re-code 
our intellectual property to operate on an ASP 
platform. Today our clients are executing large-scale 
rapid deployments with great efficiencies 
in cost, time and resources.” 
Going along with ASP platforms as a busi-ness 
model (rent vs. own), the same technol-ogy 
supports large-scale, centralized RM imple-mentations 
12 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 
by brands. In system architectures 
where all inventory resides in the CRS, a cen-tralized 
RM system offers the notable benefit of 
a single interface between the CRS and RMS, 
allowing very effective maintenance of the RMS 
interface. It also allows brands to add signifi-cant 
value to the relationship. Andy Oman, di-rector 
of revenue management for Carlson Ho-tels 
Worldwide, said, “We support owned, man-aged 
and franchised properties on our central-ized 
TopLineTM PROPHET system. All of the ho-tels 
Also most revenue managers are either 
reservations managers or have reservations 
managers reporting to them. “So there is all 
the daily activity in the reservations department 
to manage as well – general booking issues, 
processing no-shows correctly once you’ve 
ensured that they really are no-shows and 
haven’t just been entered into the system under 
a different name, handling travel agency 
commission queries—it never stops. 
“Twice a week we have a specific revenue 
management meeting with the GM, controller 
and director of sales and marketing,” said 
Bates. “Here we review current status and 
forecasts, look at specific business 
opportunities, restrictions and rates by market 
segment, and any exceptional circumstances 
that will influence previous forecasts. Then it’s 
back to the systems to input the various 
adjustments.” 
Working the old way with fixed allocations for 
different channels had the advantage that you 
would get a message when a channel’s block 
was used up, but with most hotels on free sale 
it’s way too easy to oversell the property at 
discounted rates. “Automated systems and 
interfaces make a very significant difference,” 
said Bates. “All your main channels now look 
at the same availability and restrictions. But you 
do have to understand what the systems do 
before you can start manipulating their results.” 
benefit from the integration with our Curtis- 
C CRS and our ability to help them move from a 
purely tactical view of revenue management to a 
more strategic posture. The structure will ulti-mately 
include competitive set information and 
forward rate setting to increase the property’s 
share of the market.” 
Another trend driving larger and faster de-ployments 
is the ability for some systems to pro-vide 
a multiple-property view of a market. This 
allows an area manager to control rates and 
controls for the entire market, not only a single 
hotel. Delfo Melli of Optims cites using cluster 
optimization levers to drive the ability to cross-sell 
and up-sell among properties revenue man-aged 
as a group. These capabilities benefit a 
group of hotels in several ways: 
• They increase revenues for the market 
by yielding multiple properties in concert 
• Selected segments can be steered to 
properties with more availability 
• The hotels share the cost of a dedicated 
>>
H O T E L REVENUE MANAGEMENT 
revenue manager, thus receiving a higher 
level of productivity 
Everyone is aware of the proliferation of 
new distribution channels. In addition to 
baseline PMS/CRS/GDS channels, we now have 
the hotel Web site, the brand Web site and count-less 
third-party online channels. This prolifera-tion 
impacts the RM process in two key ways: 1 Optimization routines must consider the 
cost of each distribution channel in cal-culating 
what controls will yield the most rev-enue 
2 Implementation of recommendations 
across more channels takes more time and 
effort 
Channel management complexity is a core 
part of any hotel’s RM strategy, whether or not a 
revenue management system is involved. Kathryn 
Lange of Maxim Revenue Management Solutions 
said, “This increased complexity poses many 
challenges to revenue managers, including the 
need to optimize net profit for each particular 
channel, as well as the time-consuming task of 
updating the controls across channels. An 
RMS maximizes net profit by channel and 
automatically updates controls to be applied to 
each channel, thus maximizing profit while at 
the same time minimizing the revenue manager’s 
workload.” 
14 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 
Most of today’s systems have some 
capability to value groups. The central 
questions include: How much transient 
revenue might be displaced and at 
what rate? What rate should we 
offer the group? What happens to 
total revenue if we can entice the 
group to shift to different dates? 
Answering these questions depends 
upon strong long-range forecasting algo-rithms 
in the RMS and the capacity to calcu-late 
margins on ancillary revenues. A sig-nificant 
trend in the RMS space today is to 
extend the reach of the RMS into sales and 
catering (S&C) systems. Integration of RMS 
and S&C systems allows sales managers to 
value groups without opening the RMS and 
re-inputting the data. Peter Johnson is the 
general manager of MICROS Systems’ 
TopLine PROPHET unit. Johnson said, “Our 
clients have found sales and catering inter-faces 
to be a popular labor-saving tool that 
brings the value of the RMS to every desktop 
in the sales office.” 
What Are the Challenges? 
Implementing revenue management is 
no simple task. Some obstacles are techni-cal, 
such as the reliability of PMS data extracts. 
Other obstacles are cultural and organizational. 
Let’s examine some of these challenges. 
The question of where to place control of 
the RM function organizationally often generates 
emotion and conflict, both within the property and 
within the enterprise. Many properties histori-cally 
placed inventory controls in the rooms or-ganization, 
while others put it into the sales and 
marketing food chain. Changing the reporting 
lines in any direction often causes conflicts on the 
executive committee. The historic New Yorker Ho-tel, 
with 1,013 rooms in mid-town Manhattan, 
eliminated this issue by moving the reservations 
office reporting line out of sales and into the rev-enue 
manager, who now reports directly to the 
general manager. 
At the enterprise level the opportunity to cen-tralize 
controls offers numerous benefits we have 
described, including: yielding the market and 
higher level of staffing for example. However, 
many organizations see great risk and organiza-tional 
conflict in taking the control of revenue 
generation out of the property. Many hotel com-panies 
opt for a blended approach: Omni Hotels’ 
OmniCHARM (centralized hotel automated rev-enue 
management) is a completely centralized op-eration 
from a technology perspective, based on 
Rainmaker architecture. Brad Anderson, corpo-
rate director of revenue management for Omni, said, 
“Omni employs directors of revenue management at 
40 hotels who report to their directors of sales and 
marketing. Our corporate RM staff of three supports 
these individuals in their use of RM strategies and 
technology.” 
Once the organizational issues get sorted out, 
the hotel company confronts implementation chal-lenges. 
Obtaining adequate historical data on de-mand 
represents a significant technical challenge. 
Property management systems are not built to store 
booking pace demand detail, so sometimes initial 
databases are built from manually maintained spread-sheets. 
We know this to be a painful process. Most 
RMS vendors would like to have a full year of history 
to generate accurate forecasts. But they can begin 
the effort with 90 days to 180 days of booking history 
if required, noting that forecasts generated early in 
implementation are less reliable than forecasts based 
on more history. 
The hotel must carefully examine rate structures 
when implementing RM. Static rack rates that per-haps 
vary only seasonally generally get replaced with 
flexible tiers of rates that vary on any given day. This 
dynamic approach to pricing requires a dynamic 
mindset in the reservations office, with everyone 
trained to always look for rates in the system and not 
on a chart on the wall. This is an important cultural 
change. 
The next shift lands squarely on the revenue 
manager and everyone up the reporting line: How 
much trust do you place in the recommendations? 
At what point does the revenue manager say the sys-tem 
is wrong and he will keep my discounts off be-cause 
he knows more than the computer does? 
The fact is sometimes an RMS will generate a 
recommendation that seems at odds with the real 
world. Chris Bates, regional director of revenue man-agement 
for Millennium Hotels & Resorts, said, “The 
system recommendations are only as accurate as the 
data that goes into it. Millennium’s position is that a 
trained revenue manager working in concert with the 
system generates more revenue increase than the sys-tem 
alone or the human alone.” 
16 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 
Omni’s Anderson said, “Omni’s 
CHARM system allows the revenue manager 
to adjust the assumptions the system uses 
to forecast unconstrained demand. We use 
such adjustments to depress forecasted de-mand 
due to events like the SARS outbreak 
or a new competitor opening, or to increase 
the forecast because the major competitor 
closes for renovations. In either case, 
Omni’s experience is that the management 
team comes to accept the system recom-mendations 
and use them as the produc-tivity 
and profit tools they are.” 
Other property-level conflicts arise 
when the RMS says “don’t take the tour bus 
business.” We guarantee you that the sales 
person whose job is selling to tour and travel 
accounts will have a problem with that. 
As we noted at the beginning, revenue 
management is a way of doing business 
rather than a computer system or a depart-ment. 
Any given hotel organization is at a 
different point on their revenue management 
journey. Organizations should look at the 
H O T E L REVENUE MANAGEMENT 
penetration of the RM ethos in their company 
and identify a strategy for extending it. 
A hotel with static pricing models needs to 
look at setting rates dynamically and carefully 
tracking booking pace. A hotel with established 
manual RM processes should investigate auto-mation. 
Key considerations will include PMS or 
CRS interface (data extract and applying con-trols), 
S&C or channel management interfaces, 
availability as an ASP and optimization of ancil-lary 
revenues by margin. 
A hotel company with automated revenue 
management in place needs to look at con-tinuous 
training and how to drive RM strate-gies 
into other parts of the organization and 
over a longer period of time. 
Mark G. Haley, CHTP, is a partner in The Prism 
Partnership, LLC, a Boston-based consultancy serv-ing 
the global hospitality industry. He can be reached 
at mhaley@theprismpartnership.com or (978) 521- 
3600. Jon Inge is an independent consultant special-izing 
in technology at the property level. He can be 
reached by e-mail at jon@joninge.com or by phone 
at (206) 546-0966. 
Revenue Management, with Benefits 
Hotel companies invest in RM processes and technology in order to improve revenues 
and profits. Having said that, we have learned over time that these investments often 
bring other unexpected benefits with them. We spoke with colleagues David Sjolander, 
vice president of hotel information systems for Carlson Hotels Worldwide, and Brad 
Anderson, corporate director of revenue management for Omni Hotels & Resorts, to 
explore what their organizations have found as buried treasure in the revenue 
management field. Here are some of the key fringe benefits of embracing revenue 
management they identified to us: 
PEOPLE 
• Reduced turnover among 
revenue managers (establishing 
a clearer career path keeps high 
performers with the company) 
• Improved presentation and 
persuasion skills among 
revenue managers (by running 
weekly RM meetings, they 
develop skills and comfort 
managing an agenda and selling 
recommendations) 
• Elevated sense of teamwork 
among management team (by 
focusing the entire organization 
on revenue and profit, more 
cohesion develops among the 
hotel management team) 
PROCESS 
• Forecasting improves significantly, but takes 
much less time to do (better forecasting means 
better staffing and scheduling; Better staffing means 
better guest service at lower payroll costs.) 
• Overbooking performance improves (much of 
the pain of overbooking goes away and hotels are 
more willing to push toward a sellout knowing the 
data is on their side. The guest experience improves.) 
• See changes in the marketplace much faster 
(The system red flags problems and opportunities, 
making it easy to find the cause of the demand shift. 
The system can automatically respond to sudden 
changes in demand, even nights and weekends, 
meaning the revenue manager can go home at night.) 
• Use it as an ad hoc executive information 
system (Drill down capabilities to examine 
performance of past dates and promotions useful 
for future decision-making reaching further up the 
marketing value chain.) 
Harrah’s Entertainment has a centralized RMS with 
decentralized control of rates and status. 
Photo courtesy of Harrah’s Entertainment.

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Hotel Revenue Management: How It Drives Profits

  • 1. H O T E L REVENUE MANAGEMENT REVENUE MANAGEMENT It Really Should Be Called Profit Management $ >> 6 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 by Mark Haley & Jon Inge Every hotel manager, operator and owner has a fundamental obligation to optimize the long-term profitability of the assets he or she oversees. Ful-filling this obligation means increasing rates during busy periods and dropping them dur-ing slower times to maintain occupancy or it means incurring expenses like a room reno-vation or investment in technology. Given the uptick in demand of the past year, one area of investment more and more hotel companies are evaluating is revenue management (RM). Hoteliers believe that they can drive increased profitability using RM tools and techniques. Revenue management is more complex than ever and potentially more rewarding, too. The entire organization must pull to-gether to make revenue management suc-cessful, but the right RM implementation can positively drive results, creating not only rev-enues but also profits. Most practitioners accept that imple-menting revenue management in a hotel can increase revenues 3 percent to 6 percent. Many have won much greater increases. Affinia Hospitality saw revenues increase 17 percent over the prior year in the first month after implementing manual RM processes in a new central reservations office. The Mil-lennium Bostonian Hotel paid back all of their start-up costs and more in the first month after converting from manual RM pro-cesses to an ASP-based service. Harrah’s En-tertainment credited its RM system (installed in 2001) with increasing room and gaming revenues 13 percent for the year in 2002. Focus on that for a moment. Implementing revenue management can increase revenues 3 percent to 6 per-cent, or more. Then consider that most of that incre-mental revenue flows through to operating profit. So, you might think you can increase profitability merely by installing a computer system. Well, not exactly: Revenue manage-ment is not a computer system or a set of arcane statistical algorithms. It isn’t even a department in your hotel. Put most simply, revenue management is a way of doing busi-ness that means every department focuses on what they need to do to drive the total profitability of the organization. Computer systems drive a much more disciplined and consistent implementation of RM, but the or-ganization must embrace the cultural shifts required to benefit from revenue manage-ment. It’s the culture, not the computer. How Did All This Start? Let’s examine the history of RM and some of the basic concepts. Many people correctly observe that there is nothing new about revenue management. Anyone selling a perishable product knows that you need to flex your pricing in accordance with de-mand, lead time, competitors and a host of other factors. Hotel rooms, airplane seats, advertising time, fresh produce and winter clothing are all subject to revenue manage-ment tactics. Revenue management as a formal dis-cipline has its origins in the domestic Ameri-can airline industry of the 1970s. Estab-lished, regulated airlines were threatened by unregulated charter competitors. American Airlines (AA), led by the legendary Bob Crandall, sought to cut the charters off at the pass. AA did so successfully with advance purchase restrictions on deeply discounted fares. Thus was born yield management (YM), the precursor to today’s revenue man-agement. AA and other airlines refined and ex-tended their YM capabilities during the early years of deregulation, ultimately giving them the ability to price every seat on every flight for maximum value, selling low cost seats to price-sensitive travelers (usually the leisure segment) and high-cost seats to time-sensi-tive travelers (usually on business). The im-pact and benefit of these capabilities became transparent to all observers by the end of 1985, when AA reported 48 percent profit growth on 14.5 percent revenue growth, while low-cost competitor People’s Express was hemorrhaging customers and cash. These financial results and the overwhelm-ing competitive advantage attracted a great deal of attention from many industries. Cruise lines, car rental agencies and ho-tel companies started to evaluate the ben-efits of adopting YM as a business strategy. Early adopters in the hotel space included Marriott International, Holiday Inns World-wide (now InterContinental Hotels Group), Hilton Hotels Corporation and ITT Sheraton. Organizations with centralized information systems and management structures adopted centralized systems. More decentralized organizations sought property-based systems. $$$ Put most simply, revenue management is a way of doing business that means every department focuses on what they need to do to drive the total profitability of the organization.
  • 2. What Does RM Mean? As yield management matured into rev-enue management, the standard definition of the art evolved: Revenue management is the practice of selling the right product (room, seat and banana) for the right price (rate and fare) at the right time to the right customer. In the era of compound distribu-tion channels and merchant model outlets, we can also add via the right channel. Dif-ferent channels demand different prices and yielding strategies, and guests have come to expect different prices by channel because the product itself is subtly different on each. A good example of differentiation by service could be a low-priced merchant model room sale that excludes frequency program points or upgrade benefits. Drilling down on that definition a little bit, let’s see what it takes to execute against it. The first building block is an accurate record of demand for past arrival dates with arrival date, departure date, booking date, rate and market segment, including book-ing channel, captured for every reservation. The system then calculates the day of week (DOW) for the arrival and departure dates and length of stay (LOS). Ideally, you will start with just over a year’s worth of history, but that often is not practical. The next element is data about known demand for future arrival dates, again by seg-ment. The revenue management system (RMS) extracts this data from the PMS or CRS daily (or more often) on an on-going basis. The historical data, in combination with the known demand for future arrival dates, is then used to forecast demand by segment for all future arrival dates within a defined window. This forecast is usually sen-sitive to DOW factors and seasonal and secu-lar demand shifts. The system then optimizes the available rate and stay pattern controls against the fore-casted demand and makes recommendations as to what controls to apply on what arrival dates to generate the most total revenue. Finally, the system captures actual perfor-mance (again via extracts from PMS or CRS) 8 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 $>> on the arrival date and, in some cases, modi-fies the forecasting and optimization algo-rithms for no shows or walk-ins and the impact of the controls actually imposed. This element closes the feedback loop and makes the system heuristic, able to learn from its experience over time. Some of today’s sys-tems optimize ancillary revenues as well as room revenue. In this scenario management provides an estimated profit margin for each ancillary rev-enue stream (casino play, lift tickets and food and beverage sales) as well as rooms margin. The sys-tem then generates rec-ommendations that opti-mize profit rather than revenue. For example, Intrawest Resorts’ group RM module may recom-mend accepting a group with a ski lift ticket com-mitment at a lower room rate than would be sold to transients with a smaller lift ticket revenue forecast. The same logic applies to optimizing room revenue by cost of distribution channel. Most RMSs provide a choice of merely offering up recommendations or automatically triggering status and inventory con-trols in the PMS or CRS. A recommendation-driven system requires more time, expertise and attention from the hotel’s revenue manager to enter the recommendation into the PMS, CRS or other channel. A command-driven system automates the input, but naturally re-quires a more robust inter-face to the PMS or CRS. There are also hybrid solutions that allow hotels to establish parameters defining the rec-ommendations that can be implemented auto-matically vs. those that need to be reviewed be-fore implementation. In these systems all, some or no recommendations can be deployed auto-matically depending on the client’s needs. Some PMS or CRS products offer auto-mated yielding tools that may appear to sup-port RM functions. These features allow the hotel to define business rules sensitive to real-ized demand that trigger status controls when “X” number of rooms are booked for a given arrival date. While these triggers offer value and discipline in managing inventory, they are reac-tive rather than proactive, responding only to pre-set triggers and not identifying changes in booking pace. We would label these features as rate management, and argue that they do not represent revenue management because they lack the crucial forecasting and revenue opti-mization algorithms. Likewise, a number of business intelligence H O T E L REVENUE MANAGEMENT Sample Calendar View of an RMS. This screen is where the revenue manager typi-cally first goes in the system. Note flags for high or low occupancy, special events and alerts. These flags make the Calendar View exception-driven, so the revenue manager goes straight to the arrival dates flagged as opportunities to increase rev-enue. Screen shot courtesy of IDeaS, Inc. The Revenue Management Cycle
  • 3. H O T E L REVENUE MANAGEMENT (BI) tools provide tremendous analytical support to the revenue man-agement function. Decisions, from Datavision Technologies (http:// datavisiontech.com/index.html), extracts a wealth of PMS data on past and future performance and presents it in an accessible and interac-tive manner facilitating decision-making, but not necessarily calculat-ing forecasts and optimized controls. Affinia Hospitality feeds data from their internally developed RM tools, CRM system and other data streams into a BI cube for analysis, decision support and strategic planning in revenue management as well as throughout the enterprise. Revenue Management 101 Let’s review some of the fundamental concepts underlying rev-enue management. Rate vs. Occupancy vs. RevPAR - In hotel school we were taught to look at average daily rate and occupancy rate. One tells us how much we got for each room and the other how many of our avail-able rooms we sold. Both are useful, but both only tell part of the story. A hotel company looking at its business from a revenue man-agement perspective is more interested in RevPAR, or revenue per available room. RevPAR elegantly expresses both variables in a single number. The RM-enabled hotel company establishes incentive compen-sation based on RevPAR rather than rate or occupancy, allowing for effective comparison of performance across properties and time peri-ods. This dissuades staff from increasing occupancy solely by selling rooms at heavily discounted rates or selling very few rooms at high rates. Unconstrained vs. Constrained Demand – Unconstrained demand is the RM term for the total demand for rooms on a given arrival date if you could in fact provide rooms for all of that demand. Constrained demand means the total demand you can serve, subject to the number of available rooms. Sometimes the concept is applied when a limit on one resource reduces the revenue potential of another resource. For example, a lack of guestrooms can constrain the revenue potential of the casino floor at Harrah’s. Harrah’s Director of Revenue Management Steve Pinchuk said, “We calculate total RevPAR as (room revenue + gaming revenue)/rooms available and our Rainmaker RMS optimizes on that basis.” Displacement Cost – Displacement cost refers to the revenue potential lost, or displaced, to the enterprise incurred by accepting one piece of business over a competing opportunity. When a hotel accepts a group, it may have to refuse some volume of non-group business as a result. The revenue from that non-group business is therefore displaced, but the question is whether the accepted revenue R e v e n u e M a n a g e m e n t 1 0 1 Total Room Revenue Total Available Rooms 10 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 Sample Booking Pace graph. Most RM systems present a number of ways to look at Booking Pace. This graph shows both definite (blue) and tentative (purple) bookings over the 90 days prior to arrival in a 420-room hotel (hori-zontal black line). Note the sharp drop-off in tentative rooms at about Day -5, indicating the hotel reduced group blocks. Screen shot courtesy of EasyRMS is greater than the displaced revenue. When it isn’t the net displacement is negative. If the Sheraton Boston Hotel & Towers accepts a low-rated “leaf-peeper” bus tour for the October foliage season, it risks a net negative dis-placement cost due to not having rooms available for higher-rated corporate >> group or transient business. Spoilage – This is exactly what it sounds like: inventory that goes un-sold when there is unsatisfied, constrained demand in the market. Reasons for spoilage include a poor forecast that leads the revenue manager to hold too many rooms for late sale at a high rate but the demand never material-izes, bad weather occurs or a group block cancels at the last minute. Booking Pace – Booking pace is the number of rooms reserved for an arrival date (day 0) as of each preceding booking date (day minus 30, day minus 60). Typically represented graphically, booking date on the X-axis and number of rooms booked as of the date on the Y-axis. Revenue managers must intimately understand their booking pace by day of the week. Data Extract – Reliably extracting data about past demand, future demand and actual performance from the hotel’s PMS or CRS is often the most problematic aspect of an RMS implementation. A key point in selecting an RMS is the stability and reliability of the data extract process. It’s critical that the systems work well together. Controls – Revenue management uses controls to fit forecasted, un-constrained demand into available rooms to optimize total revenue. Price is a key control. Others speak to behavioral “fences” governing stay pattern, including Saturday night stayovers, minimum length of stay and so on. Let’s look at a few examples. Rate Tiers – Remember when the term rack rate meant something? Today, RM-enabled hotels are more likely to have multiple tiers of rates that are applied to any given arrival date according to forecasted, unconstrained demand and how far out the booking date is. Sometimes expressed as “A Rates, B Rates, …” or “BAR 1, BAR 2, ….”) where BAR means best avail-able rate. Minimum Length of Stay (MLOS) – MLOS represents one of the key controls available to the hotel revenue manager. Applied in the PMS and CRS, MLOS increases the total revenue from rooms available for brief peaks by selling them only to guests willing to stay on shoulder nights around the peak. For example, the gracious and historic White Elephant Inn on Nan-tucket Island routinely applies a three-night MLOS restriction on every week-end in the summer. If you want a Friday/Saturday night stay, you need to stay There are two equivalent ways to calculate RevPAR: ADR x Occupancy Percentage = RevPAR = RevPAR
  • 4. H O T E L REVENUE MANAGEMENT Thursday or Sunday as well. However, in April you are welcome to come for only one night on any day of the week. MLOS controls have the singular advantage of being easy to explain to the guest, an attribute not all RM controls share. No Arrivals/No Departures – Often used inside an MLOS restriction, a no arriv-als control disallows reservations from ar-riving on the specified date(s), even if they exceed the MLOS. Conversely, no departures inhibits departures. The result is to minimize a peak or valley during the period and spread more revenue over more days. Stay-Throughs Allowed – Perhaps more of an exception than a control itself, stay-throughs will allow any reservation of more than “X” nights to be booked despite the other controls that are in force, includ-ing a stop sale. Where Is RM Going? Today, revenue management is an ac-tive and vibrant market with numerous sys-tem vendors and consulting shops vying for any hotel’s business and promising endless profits raining from mountains of new rev-enue. There are more vendors offering sys-tems than ever before and they all report in-creased demand for their products. These vendors believe the market opportunity be-fore them is immense. A survey of RMS vendor executives ask-ing them to estimate the current market pen-etration of automated RMSs received re-sponses ranging from 6 percent to 11 per-cent penetration, converging on 10 percent. Tom Walker of The Rainmaker Group said, “Thousands of hotels representing millions of rooms stand to increase revenues and profits by embracing revenue management as a way of life.” Walker’s colleagues and competitors agree. John Romeo, co-founder of Trend FX Solutions, Inc., said, “ASP-based systems open up the rest of the market for automated revenue management solutions.” Application service provider (ASP) sys-tems allow the hotel to skip buying hardware and software and instead rent the right to use it on a monthly subscription basis. Mov-ing from property-based systems to ASP-based systems is one of the major trends in the RM industry today. ASP-products reduce the cost of entry to the point that virtually any hotel can afford the start-up fees and monthly subscription fees. IDeaS Revenue A DAY IN THE LIFE OF A REVENUE MANAGER Christopher Bates is the regional director of revenue management for Millennium Hotels in the Americas. Hospitality Upgrade wanted to know what revenue managers do all day. We asked Bates: he laughed, took a deep breath and started talking—fast. “Every morning starts with a review of the nightly reports – the pick-up reports for the previous day, the revised forecast through month end, and so on – to see what changes have occurred, in which market segments and for which dates. We also look at any flags the revenue management system has come up with for us to review,” said Bates. These changes are then reported to the other department managers at the morning’s operations meeting, where they discuss actions to cover any specific issues. “And there’s always something!” said Bates. “Then we go back to make the various rate/room availability changes we need in the different distribution channels – the PMS reservations module, the CRS, GDSs, merchant model extranets and so on – and update the forecasts once again. “It sounds obvious, but it’s essential to make sure you do have availability where and when you need it, and that never stops for the rest of the day. You have to check today’s figures to see if you want to put any last-minute availability out on the merchant models, make sure VIP arrivals have the right room blocked, review guest requests to make sure you haven’t overbooked specific room types you’ll need later, monitor extranet allocations and pick ups, check call conversion rates, keep an eye on the reasons for declines and denials to understand the actual demand,” said Bates. Optimization CEO Ed Booth said, “Given the business conditions affecting the hospitality in-dustry after Sept. 11, we took advantage of that time to completely re-tool, revise and re-code our intellectual property to operate on an ASP platform. Today our clients are executing large-scale rapid deployments with great efficiencies in cost, time and resources.” Going along with ASP platforms as a busi-ness model (rent vs. own), the same technol-ogy supports large-scale, centralized RM imple-mentations 12 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 by brands. In system architectures where all inventory resides in the CRS, a cen-tralized RM system offers the notable benefit of a single interface between the CRS and RMS, allowing very effective maintenance of the RMS interface. It also allows brands to add signifi-cant value to the relationship. Andy Oman, di-rector of revenue management for Carlson Ho-tels Worldwide, said, “We support owned, man-aged and franchised properties on our central-ized TopLineTM PROPHET system. All of the ho-tels Also most revenue managers are either reservations managers or have reservations managers reporting to them. “So there is all the daily activity in the reservations department to manage as well – general booking issues, processing no-shows correctly once you’ve ensured that they really are no-shows and haven’t just been entered into the system under a different name, handling travel agency commission queries—it never stops. “Twice a week we have a specific revenue management meeting with the GM, controller and director of sales and marketing,” said Bates. “Here we review current status and forecasts, look at specific business opportunities, restrictions and rates by market segment, and any exceptional circumstances that will influence previous forecasts. Then it’s back to the systems to input the various adjustments.” Working the old way with fixed allocations for different channels had the advantage that you would get a message when a channel’s block was used up, but with most hotels on free sale it’s way too easy to oversell the property at discounted rates. “Automated systems and interfaces make a very significant difference,” said Bates. “All your main channels now look at the same availability and restrictions. But you do have to understand what the systems do before you can start manipulating their results.” benefit from the integration with our Curtis- C CRS and our ability to help them move from a purely tactical view of revenue management to a more strategic posture. The structure will ulti-mately include competitive set information and forward rate setting to increase the property’s share of the market.” Another trend driving larger and faster de-ployments is the ability for some systems to pro-vide a multiple-property view of a market. This allows an area manager to control rates and controls for the entire market, not only a single hotel. Delfo Melli of Optims cites using cluster optimization levers to drive the ability to cross-sell and up-sell among properties revenue man-aged as a group. These capabilities benefit a group of hotels in several ways: • They increase revenues for the market by yielding multiple properties in concert • Selected segments can be steered to properties with more availability • The hotels share the cost of a dedicated >>
  • 5. H O T E L REVENUE MANAGEMENT revenue manager, thus receiving a higher level of productivity Everyone is aware of the proliferation of new distribution channels. In addition to baseline PMS/CRS/GDS channels, we now have the hotel Web site, the brand Web site and count-less third-party online channels. This prolifera-tion impacts the RM process in two key ways: 1 Optimization routines must consider the cost of each distribution channel in cal-culating what controls will yield the most rev-enue 2 Implementation of recommendations across more channels takes more time and effort Channel management complexity is a core part of any hotel’s RM strategy, whether or not a revenue management system is involved. Kathryn Lange of Maxim Revenue Management Solutions said, “This increased complexity poses many challenges to revenue managers, including the need to optimize net profit for each particular channel, as well as the time-consuming task of updating the controls across channels. An RMS maximizes net profit by channel and automatically updates controls to be applied to each channel, thus maximizing profit while at the same time minimizing the revenue manager’s workload.” 14 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 Most of today’s systems have some capability to value groups. The central questions include: How much transient revenue might be displaced and at what rate? What rate should we offer the group? What happens to total revenue if we can entice the group to shift to different dates? Answering these questions depends upon strong long-range forecasting algo-rithms in the RMS and the capacity to calcu-late margins on ancillary revenues. A sig-nificant trend in the RMS space today is to extend the reach of the RMS into sales and catering (S&C) systems. Integration of RMS and S&C systems allows sales managers to value groups without opening the RMS and re-inputting the data. Peter Johnson is the general manager of MICROS Systems’ TopLine PROPHET unit. Johnson said, “Our clients have found sales and catering inter-faces to be a popular labor-saving tool that brings the value of the RMS to every desktop in the sales office.” What Are the Challenges? Implementing revenue management is no simple task. Some obstacles are techni-cal, such as the reliability of PMS data extracts. Other obstacles are cultural and organizational. Let’s examine some of these challenges. The question of where to place control of the RM function organizationally often generates emotion and conflict, both within the property and within the enterprise. Many properties histori-cally placed inventory controls in the rooms or-ganization, while others put it into the sales and marketing food chain. Changing the reporting lines in any direction often causes conflicts on the executive committee. The historic New Yorker Ho-tel, with 1,013 rooms in mid-town Manhattan, eliminated this issue by moving the reservations office reporting line out of sales and into the rev-enue manager, who now reports directly to the general manager. At the enterprise level the opportunity to cen-tralize controls offers numerous benefits we have described, including: yielding the market and higher level of staffing for example. However, many organizations see great risk and organiza-tional conflict in taking the control of revenue generation out of the property. Many hotel com-panies opt for a blended approach: Omni Hotels’ OmniCHARM (centralized hotel automated rev-enue management) is a completely centralized op-eration from a technology perspective, based on Rainmaker architecture. Brad Anderson, corpo-
  • 6. rate director of revenue management for Omni, said, “Omni employs directors of revenue management at 40 hotels who report to their directors of sales and marketing. Our corporate RM staff of three supports these individuals in their use of RM strategies and technology.” Once the organizational issues get sorted out, the hotel company confronts implementation chal-lenges. Obtaining adequate historical data on de-mand represents a significant technical challenge. Property management systems are not built to store booking pace demand detail, so sometimes initial databases are built from manually maintained spread-sheets. We know this to be a painful process. Most RMS vendors would like to have a full year of history to generate accurate forecasts. But they can begin the effort with 90 days to 180 days of booking history if required, noting that forecasts generated early in implementation are less reliable than forecasts based on more history. The hotel must carefully examine rate structures when implementing RM. Static rack rates that per-haps vary only seasonally generally get replaced with flexible tiers of rates that vary on any given day. This dynamic approach to pricing requires a dynamic mindset in the reservations office, with everyone trained to always look for rates in the system and not on a chart on the wall. This is an important cultural change. The next shift lands squarely on the revenue manager and everyone up the reporting line: How much trust do you place in the recommendations? At what point does the revenue manager say the sys-tem is wrong and he will keep my discounts off be-cause he knows more than the computer does? The fact is sometimes an RMS will generate a recommendation that seems at odds with the real world. Chris Bates, regional director of revenue man-agement for Millennium Hotels & Resorts, said, “The system recommendations are only as accurate as the data that goes into it. Millennium’s position is that a trained revenue manager working in concert with the system generates more revenue increase than the sys-tem alone or the human alone.” 16 • HOSPITALITY UPGRADE • www.hospitalityupgrade.com | Fall 2004 Omni’s Anderson said, “Omni’s CHARM system allows the revenue manager to adjust the assumptions the system uses to forecast unconstrained demand. We use such adjustments to depress forecasted de-mand due to events like the SARS outbreak or a new competitor opening, or to increase the forecast because the major competitor closes for renovations. In either case, Omni’s experience is that the management team comes to accept the system recom-mendations and use them as the produc-tivity and profit tools they are.” Other property-level conflicts arise when the RMS says “don’t take the tour bus business.” We guarantee you that the sales person whose job is selling to tour and travel accounts will have a problem with that. As we noted at the beginning, revenue management is a way of doing business rather than a computer system or a depart-ment. Any given hotel organization is at a different point on their revenue management journey. Organizations should look at the H O T E L REVENUE MANAGEMENT penetration of the RM ethos in their company and identify a strategy for extending it. A hotel with static pricing models needs to look at setting rates dynamically and carefully tracking booking pace. A hotel with established manual RM processes should investigate auto-mation. Key considerations will include PMS or CRS interface (data extract and applying con-trols), S&C or channel management interfaces, availability as an ASP and optimization of ancil-lary revenues by margin. A hotel company with automated revenue management in place needs to look at con-tinuous training and how to drive RM strate-gies into other parts of the organization and over a longer period of time. Mark G. Haley, CHTP, is a partner in The Prism Partnership, LLC, a Boston-based consultancy serv-ing the global hospitality industry. He can be reached at mhaley@theprismpartnership.com or (978) 521- 3600. Jon Inge is an independent consultant special-izing in technology at the property level. He can be reached by e-mail at jon@joninge.com or by phone at (206) 546-0966. Revenue Management, with Benefits Hotel companies invest in RM processes and technology in order to improve revenues and profits. Having said that, we have learned over time that these investments often bring other unexpected benefits with them. We spoke with colleagues David Sjolander, vice president of hotel information systems for Carlson Hotels Worldwide, and Brad Anderson, corporate director of revenue management for Omni Hotels & Resorts, to explore what their organizations have found as buried treasure in the revenue management field. Here are some of the key fringe benefits of embracing revenue management they identified to us: PEOPLE • Reduced turnover among revenue managers (establishing a clearer career path keeps high performers with the company) • Improved presentation and persuasion skills among revenue managers (by running weekly RM meetings, they develop skills and comfort managing an agenda and selling recommendations) • Elevated sense of teamwork among management team (by focusing the entire organization on revenue and profit, more cohesion develops among the hotel management team) PROCESS • Forecasting improves significantly, but takes much less time to do (better forecasting means better staffing and scheduling; Better staffing means better guest service at lower payroll costs.) • Overbooking performance improves (much of the pain of overbooking goes away and hotels are more willing to push toward a sellout knowing the data is on their side. The guest experience improves.) • See changes in the marketplace much faster (The system red flags problems and opportunities, making it easy to find the cause of the demand shift. The system can automatically respond to sudden changes in demand, even nights and weekends, meaning the revenue manager can go home at night.) • Use it as an ad hoc executive information system (Drill down capabilities to examine performance of past dates and promotions useful for future decision-making reaching further up the marketing value chain.) Harrah’s Entertainment has a centralized RMS with decentralized control of rates and status. Photo courtesy of Harrah’s Entertainment.