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Buying Guide
Revenue Management

UPDATE 10 Best Revenue Management Software in 2026

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By Jordan Hollander

Last updated on March 23, 2026

Our reviewers evaluate software independently. Learn how we stay transparent, read our review methodology, and tell us about any tools we missed.

QUICK SUMMARY

This list is based on research we’ve conducted since 2017, analyzing dozens of hotel management systems using verified hotelier reviews, product deep dives, and our proprietary HTScore.

74 PRODUCTS REVIEWED
4523 HOTELIERS

title

Hotels that implement a modern revenue management system (RMS) typically see a 15–20% lift in RevPAR—but choosing the right platform is far from simple.

That’s why we surveyed 4523 hoteliers across 106 countries and went hands-on with the leading RMS vendors to create this in-depth guide.

Inside, you’ll find everything you need to make a confident, data-driven decision: top-rated RMS providers, side-by-side feature comparisons, price benchmarks, integrations you’ll need (PMS, CRS, channel manager, business intelligence), and real-world results shared directly by hoteliers.

At HotelTechReport, our job is to help you find the right tech for your business as quickly and painlessly as possible. Whether you’re upgrading from manual spreadsheets, replacing a legacy rules-based tool, or building a next-generation tech stack for a new hotel opening, this guide is designed to help you find the best revenue management system for your property.

Below you’ll find expert comparisons, a free RMS buying guide, key feature breakdowns, pricing insights, examples of top RMS tools, and even a free fit-finder to help you identify the best revenue management system for your hotel’s size, segment, and market. 

Hotel Revenue Management Software Shortlist

Here are 10 of the best revenue management software for hotels that are covered in this in-depth guide:

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
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Browse rankings

Over 2M+ Leading Hotel Professionals Trust Our Advice

Aman Proper Accor Marriott International Meliá The Hoxton Firmdale Hilton Sands Jumeirah 25h

LAST UPDATED

March 23, 2026

APPS TESTED

Test Company Juan Arango
69+

CONTRIBUTING EXPERTS

Adam Hollander
Adam Hollander
Jordan Hollander
Jordan Hollander
OUR PROCESS
process 1
Compare Revenue Management Systems vendors and get free price quotes
Our Criteria

Our criteria example

We’ve surveyed 4523 hoteliers across more than 106 countries to understand which are the best Revenue Management Systems vendors, along with everything you need to know in order to buy the right hotel revenue management software (including our 2026 Revenue Management Systems Guide). We also aggregate key decision criteria data including integration availability, partner ecosystem, expert recommendations and more (learn more about HTR’s ranking methodology).

How we rank products
Verified Hotelier Reviews
We analyzed 4,523 verified user reviews across 74 Revenue Management Systems.
Integrations & Partner Ecosystem
We analyzed thousands of product integrations and partner recommendations.
Feature Functionality
We developed side-by-side comparisons of product features, modules and capabilities.
Reach, Staying Power & Resources
We vetted key viability metrics like time in market, headcount, funding and more.
Jump to rankings
Methodoly 1


11111

Top picks

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Q4 2025 Revenue Management Systems Survey Rankings

Last updated: Q4 2025
Best Revenue Management Systems By hotel size

Based on HTR's Q4 2025 quarterly Revenue Management Systems survey insights, these are the products that are currently most recommended by each size of hotel.

Small up to 24 rooms
1k Hoteliers 11 products recommended
Mid-sized 25-74 rooms
1.3k Hoteliers 12 products recommended
Large 75-199 rooms
1.1k Hoteliers 8 products recommended
Enterprise 200+ rooms
923 Hoteliers 7 products recommended

Q4 2025 Revenue Management Systems Survey Rankings

Last updated: Q4 2025
Best Revenue Management Systems By hotel type

Based on HTR's Q4 2025 quarterly Revenue Management Systems survey insights, these are the products that are currently most recommended by each type of hotel.

Boutique Hotels
1.9k Hoteliers 12 products recommended
Luxury Hotels
1.5k Hoteliers 13 products recommended
City Center Hotels
1.5k Hoteliers 13 products recommended
Bed & Breakfast & Inns
1.3k Hoteliers 12 products recommended
Branded Hotels
1.2k Hoteliers 11 products recommended
Resorts
1.2k Hoteliers 13 products recommended
Airport/Conference Hotels
1k Hoteliers 11 products recommended
Limited Service & Budget Hotels
972 Hoteliers 13 products recommended
Extended Stay & Serviced Apartments
489 Hoteliers 8 products recommended
Hostels
317 Hoteliers 7 products recommended
Vacation Rentals & Villas
264 Hoteliers 8 products recommended
Motels
161 Hoteliers 4 products recommended
Casinos
154 Hoteliers 5 products recommended
RV Parks & Campgrounds
109 Hoteliers 5 products recommended

Q4 2025 Revenue Management Systems Survey Rankings

Last updated: Q4 2025
Best Revenue Management Systems By region

Based on HTR's Q4 2025 quarterly Revenue Management Systems survey insights, these are the products that are currently most recommended by hotels in each region.

North America
852 Hoteliers 11 products recommended
Europe
2.6k Hoteliers 10 products recommended
Asia Pacific
387 Hoteliers 4 products recommended
Oceania
200 Hoteliers 4 products recommended
Middle East
121 Hoteliers 4 products recommended
South America
96 Hoteliers 4 products recommended
Central America
Gathering data
Africa
70 Hoteliers 3 products recommended

Q4 2025 Revenue Management Systems Survey Rankings

Last updated: Q4 2025
Best Revenue Management Systems By country

Based on HTR's Q4 2025 quarterly Revenue Management Systems survey insights, these are the products that are currently most recommended by hotels in each country.

🇺🇸
United States Of America
608 Hoteliers 10 products recommended
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Italy
576 Hoteliers 6 products recommended
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Germany
413 Hoteliers 5 products recommended
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United Kingdom
270 Hoteliers 4 products recommended
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Spain
227 Hoteliers 4 products recommended
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Netherlands
177 Hoteliers 4 products recommended
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France
161 Hoteliers 4 products recommended
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Switzerland
157 Hoteliers 4 products recommended
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Mexico
148 Hoteliers 3 products recommended
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Australia
140 Hoteliers 4 products recommended
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Austria
105 Hoteliers 3 products recommended
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India
104 Hoteliers 1 products recommended
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Canada
96 Hoteliers 3 products recommended
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Sweden
67 Hoteliers 3 products recommended
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Belgium
65 Hoteliers 4 products recommended
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China
63 Hoteliers 1 products recommended
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New Zealand
59 Hoteliers 2 products recommended
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Thailand
58 Hoteliers 3 products recommended
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Portugal
56 Hoteliers 3 products recommended
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United Arab Emirates
55 Hoteliers 3 products recommended
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Greece
47 Hoteliers 1 products recommended
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Ireland
37 Hoteliers 2 ranked, 0 premium members
Ranking
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Colombia
31 Hoteliers 1 products recommended
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South Africa
29 Hoteliers 3 products recommended
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Malaysia
28 Hoteliers 1 products recommended
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Singapore
27 Hoteliers 1 products recommended
🇮🇸
Iceland
26 Hoteliers 2 products recommended
🇨🇿
Czech Republic
24 Hoteliers 2 products recommended
🇮🇩
Indonesia
23 Hoteliers 1 ranked, 0 premium members
Ranking
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Bulgaria
21 Hoteliers 1 products recommended
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Denmark
19 Hoteliers 1 products recommended
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Norway
19 Hoteliers 1 products recommended
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Saudi Arabia
18 Hoteliers 1 products recommended
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Argentina
17 Hoteliers 1 products recommended
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Philippines
17 Hoteliers 1 products recommended
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Egypt
16 Hoteliers 1 products recommended
🇱🇰
Sri Lanka
16 Hoteliers 1 products recommended
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Croatia
15 Hoteliers 1 products recommended
🇫🇮
Finland
14 Hoteliers 1 products recommended
🇭🇺
Hungary
Gathering data
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Japan
13 Hoteliers 1 products recommended
🇹🇷
Turkey
13 Hoteliers 1 ranked, 0 premium members
Ranking
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Brazil
Gathering data
🇷🇺
Russian Federation
11 Hoteliers 1 ranked, 0 premium members
Ranking
🇨🇷
Costa Rica
10 Hoteliers 1 products recommended
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Morocco
10 Hoteliers 1 ranked, 0 premium members
Ranking
🇸🇮
Slovenia
10 Hoteliers 1 products recommended
🇨🇾
Cyprus
9 Hoteliers 1 products recommended
🇷🇴
Romania
Gathering data
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Estonia
Gathering data
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Korea, South
8 Hoteliers 1 ranked, 0 premium members
Ranking
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Poland
Gathering data
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Chile
Gathering data
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Maldives
Gathering data
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Slovakia
Gathering data
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Liechtenstein
6 Hoteliers 1 products recommended
🇮🇱
Israel
Gathering data
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Malta
Gathering data
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Panama
Gathering data
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Tunisia
Gathering data
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Tanzania
Gathering data
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Vietnam
Gathering data
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Ecuador
Gathering data
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Georgia
Gathering data
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Ghana
Gathering data
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Luxembourg
Gathering data
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Latvia
Gathering data
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Nigeria
Gathering data
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Peru
Gathering data
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Qatar
Gathering data
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Andorra
Gathering data
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Armenia
Gathering data
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Bolivia
Gathering data
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Bahamas
Gathering data
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Kenya
Gathering data
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Cambodia
Gathering data
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Monaco
Gathering data
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Oman
Gathering data
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Seychelles
Gathering data
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Bahrain
Gathering data
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Botswana
Gathering data
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Dominican Republic
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Guatemala
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Hong Kong
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Jordan
Gathering data
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Laos
Gathering data
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Myanmar
Gathering data
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Turks And Caicos Islands
Gathering data
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Taiwan
Gathering data
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Zambia
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Albania
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Bangladesh
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Belize
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Cook Islands
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Algeria
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Cayman Islands
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Lithuania
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Macedonia
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Mongolia
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Namibia
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Pakistan
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Svalbard And Jan Mayen Islands
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Ukraine
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Uganda
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Venezuela
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Afghanistan
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Netherlands Antilles
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Angola
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Aruba
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Benin
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Saint Barthélemy
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Bermuda
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Brunei Darussalam
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Bhutan
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Bouvet Island
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Belarus
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Cocos (Keeling) Islands
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Congo (Kinshasa)
Gathering data
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Central African Republic
Gathering data
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Congo (Brazzaville)
Gathering data
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Côte D'ivoire
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Cameroon
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Cuba
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Cape Verde
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Christmas Island
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Djibouti
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Dominica
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Western Sahara
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Eritrea
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Ethiopia
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Fiji
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Falkland Islands
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Micronesia
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Faroe Islands
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Gabon
Gathering data
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Grenada
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French Guiana
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Guernsey
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Gibraltar
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Greenland
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Gambia
Gathering data
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Guinea
Gathering data
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Guadeloupe
Gathering data
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Equatorial Guinea
Gathering data
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South Georgia And South Sandwich Islands
Gathering data
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Guam
Gathering data
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Guinea-Bissau
Gathering data
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Guyana
Gathering data
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Heard And Mcdonald Islands
Gathering data
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Honduras
Gathering data
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Haiti
Gathering data
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Isle Of Man
Gathering data
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British Indian Ocean Territory
Gathering data
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Iraq
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Iran
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Jersey
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Jamaica
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Kyrgyzstan
Gathering data
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Kiribati
Gathering data
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Comoros
Gathering data
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Saint Kitts And Nevis
Gathering data

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reviews
4.6 (206)
4.6 (356)
4.6 (632)
4.9 (105)
4.9 (43)
4.7 (688)
4.8 (718)
4.9 (223)
4.8 (215)
4.7 (220)
score
Ht score logo 88 HT Score
Ht score logo 91 HT Score
Ht score logo 97 HT Score
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Ht score logo 75 HT Score
Ht score logo 99 HT Score
Ht score logo 100 HT Score
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Ht score logo 92 HT Score
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best for
Boutique Hotels City Center Hotels Limited Service & Budget Hotels
Boutique Hotels City Center Hotels Bed & Breakfast & Inns
Luxury Hotels Branded Hotels City Center Hotels
Luxury Hotels Boutique Hotels Resorts
Boutique Hotels Bed & Breakfast & Inns Limited Service & Budget Hotels
Boutique Hotels Luxury Hotels City Center Hotels
Boutique Hotels Bed & Breakfast & Inns City Center Hotels
Bed & Breakfast & Inns Boutique Hotels Resorts
Bed & Breakfast & Inns Boutique Hotels Vacation Rentals & Villas
City Center Hotels Boutique Hotels Luxury Hotels
PRICING
$6–$8 / room / mo
$4–$6 / room / mo
$11–$13 / room / mo
$0–$0 / room / mo
$5–$7 / room / mo
$9–$11 / room / mo
$4–$6 / room / mo
$3–$5 / room / mo
$2–$4 / room / mo
$7–$9 / room / mo
Functionality
58/72
56/72
69/72
44/72
49/72
57/72
56/72
52/72
48/72
60/72
user sentiment
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Functionality
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Automation
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Support
Automation
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Support
Automation
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User interface
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Functionality
Support
Automation
Integrations
User interface
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Support
Automation
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In-Depth Reviews

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2026 Revenue Management System Buyer's Guide

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Buying Guide

What is Hotel Revenue Management Software?

Hotel revenue management software is a demand forecast tool that dynamically prices hotel rooms with the goal of increasing RevPAR and ultimately net operating income.  Hotel RMS solutions are widely known to generate a 15-20% increase in RevPAR which has a massive impact on the bottom line. Revenue management systems incorporate multiple data sources like real-time competitor rates, OTA rates, group displacement data and more to develop demand forecasts and make automated room rate recommendations.

The key functionalities of revenue management software include demand forecasting, which helps hotels predict future demand and occupancy rates, enabling them to set optimal pricing strategies and maximize revenue. Dynamic pricing uses real-time data to adjust room rates based on market conditions, ensuring the best possible rates for maximizing profitability. Revenue optimization is achieved by analyzing various data points and metrics, helping hotels identify and capture revenue opportunities.

A hotel RMS must integrate seamlessly with other hotel management tools such as property management systems (PMS), enterprise resource planning (ERP) systems, and customer relationship management (CRM) platforms. This integration facilitates comprehensive revenue recognition and financial management. RMS streamlines workflows and improves operational efficiency by automating routine tasks, allowing hotel staff to focus on strategic decision-making.

Hotel dynamic pricing software should also integrate with a channel manager to efficiently distribute room inventory across various online travel agencies (OTAs) and booking channels, maximizing reach and revenue. Robust customer support ensures ease of use and helps hotels maximize the software's potential.

By providing insights into market conditions and revenue streams, the software helps hotels discover new revenue opportunities and drive revenue growth. Hotel revenue management software is a comprehensive tool that enhances revenue optimization, streamlines hotel operations, and supports data-driven decision-making to maximize profitability and growth in the hospitality industry.

 

What are the key features of hotel revenue management software?

The key features of a hotel revenue management system are designed to do 3 things: set and optimize prices, automate manual workflows, and leverage large data sets to enable complex decision making with ease.  Specific features you should be looking for include:

  1. Integrations: It’s important that your RMS integrates with your PMS, CRS, CRM and booking engine with a reliable, two-way connection so that the systems can share the right data.

  2. Open Pricing: Your RMS must be able to price room types and channels independently of each other, rather than in lockstep with a set BAR price. For example, on some days you want your AAA rate to be 10% less than BAR, on other days you may want it 1% less than BAR.

  3. Cloud technology: An RMS that runs on multi-tenant cloud architecture allows your systems to integrate and share data more seamlessly, and allows developers to push updates to your software in real time. No more purchasing new versions of software just to get the latest features.  

  4. Intelligent reporting: It’s important that your RMS be able to build, export and share your most critical reports. Revenue teams must be able to share reports at the push of a button with management, ownership and other departments within the hotel.

  5. Data Visualization: A good RMS not only presents your data in tabular reports, but allows you to visual your data and reports in graphical form. This allows revenue teams to better understand trends, outliers and patterns in data.

  6. Automation: With the push of a button, your price recommendations will instantly be reflected in your PMS. Neither analysis nor manual updates are required. Choose between accepting your recommendations one-by-one, in bulk or even override specific recommendations with ease.

  7. Price sensitivity chart: When setting the room price you need to take both internal and external data into consideration. The Price Sensitivity Chart is a graph illustrating the current optimal room price in relation to change in revenue and occupancy rate. It helps you to make sure your price points are accurate.

  8. Open pricing: Your RMS must be able to price room types and channels independently of each other, rather than in lockstep with a set BAR price. For example, on some days you want your AAA rate to be 10% less than BAR, on other days you may want it 1% less than BAR.

  9. Pacing reports: Pacing reports help you always know your pace, down to pacing at a room type level. You can compare your pacing with the reference arrival date of choice.

  10. Data visualization and business intelligence: A good RMS not only presents your data in tabular reports, but allows you to visualize your data and reports in graphical form. This allows revenue teams to better understand trends, outliers and patterns in data. It’s important that your RMS be able to build, export and share your most critical reports. Revenue teams must be able to share reports at the push of a button with management, ownership and other departments within the hotel.

  11. Group booking module: A Group Booking Price Module not only provides you with the current optimal group price, but also a secondary price, which is the lowest price point you should accept because you would be better off, from a yield perspective, to sell the inventory on the open market instead.

Pricing Optimization
  • Price Explanation
  • Enterprise Business Guidelines
  • Alternate Stay Date Recommendations
  • Alternate Property Reccomendations
  • Real-time price optimization
  • Dynamic Price Hierarchy Control
  • Open Pricing
  • Guided workflows
  • "What-if" scenario analysis
  • Dynamic Pricing
  • Set Boundaries
  • Manage Exceptions
  • Group Pricing
  • Manage Restrictions
  • Manage Sell-Outs & Cancellations
  • Business Mix Optimization
  • Define Cycles
  • Yield Room Types Individually
  • Bulk Adjustments
  • 24-Months Pricing & Forecasting
  • Component/virtual room pricing
  • Extended stay pricing
  • Upsell pricing
  • Hurdle rate
Market Intelligence & Forecasting
  • Five-Year Forecasting
  • 365-Day Forward Pricing
  • STR Data
  • 18-Month Forward Pricing
  • Price sensitivity modeling
  • Multi-Property Dashboard
  • Market Intelligence Data
  • Interactive Customizable Dashboards
  • Future Market Demand Data
  • Financial Forecast Builder
  • Extended stay forecasting
  • Channel forecasting
  • Forecast explanation
  • Flexible competitor data
Dashboards & Reporting
  • Custom Reports
  • Scheduled Reports
  • Lost Business Data
  • Analytics dashboard
  • Interactive Customizable Dashboards
  • Market Insights Reporting
  • Pickup Analysis
  • Booking Pattern Analysis
  • Event Data
  • Price Change Logs
  • Customizable Notifications & Alerts
  • Displacement Analysis
  • Group Pricing & Evaluation
  • Multi-Property Dashboard
  • System benefit measurement
Automation
  • Controlled Automation/Algorithm Customization
  • Automated Room-Type Pricing
  • Fully automated revenue management
  • Dynamic Pricing
  • AI Optimization
  • Automatic Pricing Updates
Multi-Property Functionality
  • Inventory Management
  • Multi-property Management
  • Multi-Property Dashboard
Group Business
  • Group Pricing & Evaluation
  • "What-if" scenario analysis
  • Displacement Analysis
  • Group forecast and wash
Integrations
  • Open API
  • Channel Manager
  • Business Intelligence
  • STR Data
  • Property Management System
  • Multi-factor authentication

What are the benefits of a hotel revenue management system?

A hotel revenue management system (RMS) offers numerous benefits that help optimize a hotel's financial performance and operational efficiency. Here are some key advantages:

  1. Optimized Pricing Strategy: An RMS uses data analytics and algorithms to determine the best room rates, ensuring prices are adjusted dynamically based on demand, competition, and other market factors. This leads to maximized revenue and occupancy rates.

  2. Increased Revenue: By accurately predicting demand and optimizing pricing, an RMS helps hotels increase their revenue per available room (RevPAR), a key metric in the hospitality industry.

  3. Improved Forecasting: RMS tools provide precise demand forecasts, allowing hoteliers to anticipate future trends and plan accordingly. This helps in making informed decisions about pricing, staffing, and inventory management.

  4. Enhanced Competitive Advantage: By leveraging real-time data and market trends, an RMS enables hotels to stay ahead of competitors by adjusting rates and offers proactively.

  5. Better Inventory Management: An RMS helps in managing room inventory more effectively, ensuring that the right number of rooms are available at the right time, reducing instances of overbooking or underbooking.

  6. Increased Efficiency: Automating the revenue management process reduces manual work and the likelihood of human error. This allows hotel staff to focus on other important tasks, enhancing overall operational efficiency.

  7. Data-Driven Decision Making: RMS tools provide actionable insights through detailed analytics and reporting. This data-driven approach helps hoteliers make more informed decisions about marketing, sales, and overall business strategy.

  8. Enhanced Customer Experience: By optimizing room rates and availability, an RMS ensures that guests receive fair pricing, improving their overall experience and satisfaction. This can lead to higher guest loyalty and positive reviews.

  9. Improved Distribution Channel Management: An RMS helps manage multiple distribution channels (OTAs, direct bookings, etc.) effectively, ensuring that pricing and availability are consistent across all platforms, reducing discrepancies and maximizing reach.

  10. Adaptability to Market Changes: An RMS allows hotels to quickly adapt to market changes and unforeseen events by adjusting pricing strategies and inventory management in real-time, ensuring resilience and agility.

Implementing a hotel revenue management system can lead to significant improvements in financial performance, operational efficiency, and guest satisfaction, making it a crucial tool for modern hospitality management.

Hotels that switch onto a revenue management system generally experience a RevPAR increase of between 5 - 20 % as a result of optimized automatic price setting per room type.  Hotels that use revenue management systems save between 20 - 40 hours per month by streamlining manual workflows. An RMS also serves to visualize complex data sets into an easy to use and easy to understand user interface that saves revenue managers from difficult manual calculations and cumbersome spreadsheets.  Whether its pulling in thousands of records of historical data from your PMS, connecting to city-wide group demand data sets or integrating rate shopping data from competitors —an RMS helps bring all of this data under one roof and deliver it in a simple way that helps revenue managers make more informed & data driven decisions.

What Integrations Does a Hospitality Industry RMS Need?

Once the contract is signed and discovery is complete, the typical rollout timeline for a revenue management system is 8-12 weeks but some providers today are able to live in under one week.

Property Management System A strong two-way integration with your Property Management Systems allows your RMS to pull historical information on rates and revenue, analyze the data and then return an accurate matrix of pricing recommendations for each segment and room type. Ultimately an integration with your PMS will enable more efficient revenue management automation to save time and improve results.

Central Reservations System A strong connection between the RMS and the CRS helps hoteliers avoid failed updates, lost reservations and bad reports when data and files are not transferred accurately between the two systems.

Email Marketing and CRM An RMS-CRM connection is critical when hoteliers want to price based on a guest’s value to your property. Without this connection, hotels cannot price based on loyalty or past purchase behavior.  CRM systems rely on big data to efficiently segment guest profiles and revenue management system data is as rich is it comes.

Booking Engine - Without a connection between the RMS and the booking engine, the right recommended rates cannot be pushed to the guest at the time of booking.

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Hoteliers Also Ask

The main goal of revenue management in hotels is to fill the right room at the right time for the right price. Revenue managers want to maximize the rate potential of each room night, but without setting prices too high that nobody will book.

A revenue manager leverages tools like revenue management systems and rate shoppers to analyze competitor pricing and set a rate strategy that will maximize revenue. In addition, a revenue manager might study market trends in STR reports, analyze data in a business intelligence tool, and use promotional tools in their booking engine, PMS, or channel manager.

Revenue management enables the business to stay competitive in the marketplace by adapting prices to changes in supply and demand. Revenue management strategies ensure a business isn’t leaving money on the table by charging rates that are too low, nor setting prices too high that nobody will purchase.

A revenue management system analyzes a combination of competitor rates, historical rates, market dynamics, and inventory levels to predict demand and provide rate recommendations. A good revenue management system will automate the entire process and generate rates that can maximize revenue and profitability.

The revenue manager’s job is to manage pricing strategies to maximize revenue and profit. In a hotel, the revenue manager sets rates, deploys promotions, analyzes competitor pricing, and decides when to open or close certain rate plans or promotions. A revenue manager usually works closely with the sales and marketing departments.

Revenue management systems (RMS) are critical to hotel profitability because they enable hoteliers to optimize pricing decisions and increase revenue growth. RMS software automates the process of forecasting and dynamically adjusting room rates based on market demand and historical data. This real-time functionality allows hoteliers to optimize revenue streams across distribution channels and room types.

The algorithms and functionality of revenue management software provide hoteliers with pricing recommendations that are based on market data, KPIs, and metrics. This information helps hoteliers make informed decisions about pricing strategies and occupancy levels, which are crucial factors for maximizing revenue and profitability.

In the hospitality industry, the use of an RMS is essential to compete effectively with other hotels in the same market. Without accurate forecasting and optimization, hoteliers risk losing business to competitors who are pricing their rooms more effectively.

RMS solutions such as Duetto and Atomize provide cloud-based platforms that integrate with the property management system (PMS), channel manager, booking engine, and customer relationship management (CRM) software to ensure that pricing decisions are made with the right customer in mind. This integration also helps hoteliers to identify the most profitable channels and adjust pricing accordingly.

Dynamic pricing is a key component of hotel revenue management strategy, and an RMS automates the process of updating prices in real-time based on occupancy and market demand. This ensures that hoteliers are always charging the right price for their hotel rooms.

Historically, pricing decisions were made using spreadsheets and manual data analysis, which was time-consuming and prone to errors. Today, revenue management systems have revolutionized the hotel industry by providing automation, accuracy, and speed in decision-making.

Revenue management systems are critical to hotel profitability because they enable accurate forecasting, dynamic pricing, and optimization of revenue streams across distribution channels and room types. With the use of an RMS, hoteliers can make informed decisions that lead to increased revenue growth and total revenue for their hotel business.

Hotels use a variety of revenue models to optimize profitability and increase revenue in the highly competitive hospitality industry. Central to these models is hotel revenue management (HRM), which involves a dynamic approach to pricing decisions based on market demand, seasonality, competitor pricing, and historical data.

One of the core aspects of hotel revenue management is the use of revenue management software (RMS). These software solutions leverage algorithms and machine learning to forecast demand and make pricing recommendations. By analyzing vast amounts of data points, such as average daily rate (ADR), occupancy rate, and market trends, RMS helps hoteliers make informed decisions to achieve optimal pricing.

A key component in RMS is its integration with property management systems (PMS) and channel managers. This integration allows for real-time updates across distribution channels, ensuring price parity and maximizing the visibility of room rates. The cloud-based nature of modern RMS provides scalability and operational efficiency, allowing even independent hotels to compete effectively by accessing sophisticated business intelligence tools.

Revenue management solutions often include functionality that extends beyond pricing. They help streamline various aspects of hotel operations, such as room type allocation and managing direct bookings through the hotel’s booking engine. Automation in revenue management not only helps reduce the reliance on spreadsheets but also enhances decision-making by providing real-time data-driven insights.

Revenue management systems also focus on the guest experience by ensuring that pricing strategies do not negatively impact customer perceptions or loyalty. Effective revenue management helps hoteliers not only to set the right price at the right time but also to improve the overall profitability of the hotel business through strategic control of available room rates and thorough analysis of revenue streams and KPIs.

Hotel revenue management utilizes a comprehensive suite of tools and strategies that include dynamic pricing, data-driven decision-making, and automation to optimize revenue growth and enhance the profitability of hoteliers in the competitive hotel industry.

In the hospitality industry, revenue management systems (RMS) play a crucial role in optimizing hotel revenue management. These systems leverage data analysis, historical data, and real-time information to assist hoteliers in making informed pricing decisions and developing effective revenue management strategies. By analyzing market demand and competitor pricing, RMS enables hoteliers to forecast occupancy rates, room availability, and room nights, ensuring they set the right price for their hotel rooms.

RMS helps in forecasting demand, optimizing room rates, and implementing dynamic pricing strategies to enhance RevPAR (revenue per available room) and ADR (average daily rate). This process involves considering various market conditions, market trends, and seasonality to maximize room revenue and total revenue.

Revenue management systems also integrate with property management systems (PMS) and channel managers, streamlining distribution channels and allowing for better inventory management. By monitoring key performance indicators (KPIs) such as occupancy, ADR, and GOPPAR (gross operating profit per available room), RMS supports hoteliers in making data-driven decisions that improve their hotel's performance.

These systems also aid in understanding customer segments, price sensitivity, and consumer behavior, which are essential for optimizing revenue opportunities. Additionally, RMS assists in managing overbooking, cancellations, and length of stay, ensuring a balance between room availability and guest experience.

RMS is particularly beneficial for independent hotels and helps in managing direct bookings as well as distribution strategies involving online travel agencies (OTAs). By analyzing metrics from social media and other sources, hoteliers can discover new market segments and enhance their revenue strategy to achieve revenue growth and improve the bottom line of their hospitality business.

Hotel revenue management is a critical discipline in the hospitality industry that focuses on optimizing profitability through strategic decision-making. Utilizing forecasting, pricing strategies, and historical data, hotel revenue management aims to maximize revenue opportunities by balancing market demand and inventory management.

Key metrics such as occupancy, ADR (average daily rate), RevPAR (revenue per available room), and GOPPAR (gross operating profit per available room) are integral to revenue management strategies. These strategies involve dynamic pricing and channel management, ensuring hotel rooms are sold at the right price through the most effective distribution channels, including OTAs (online travel agencies) and direct bookings.

Hoteliers use revenue management systems (RMS) and property management systems (PMS) to integrate data analysis and real-time market conditions into their pricing decisions. This allows for precise demand forecasting and optimization of room rates based on market trends, seasonality, and competitor pricing. Effective revenue management also involves benchmarking against the comp set (competitive set) and utilizing business intelligence for continuous improvement.

Revenue management in the hotel industry extends to various aspects such as room types, length of stay, and overbooking strategies. It encompasses a comprehensive distribution strategy, balancing occupancy rates and guest satisfaction to enhance the overall guest experience. By leveraging KPIs (key performance indicators) and understanding market segments, independent hotels and large chains alike can streamline their operations and enhance their bottom line.

Hotel revenue management is about making informed pricing decisions that align with market demand, optimize room revenue, and ensure the profitability of the hospitality business. Through continuous monitoring and adaptation, hoteliers can maintain a competitive edge and achieve revenue optimization.

A Revenue Management System (RMS) is a data-driven tool that optimizes hotel pricing by analyzing historical booking data, market demand, competitor rates, and guest segmentation. It collects and processes data from multiple sources, including booking pace, seasonality, local events, and competitive pricing. Using machine learning and predictive analytics, the RMS forecasts future demand and adjusts rates accordingly. Unlike traditional static pricing models, modern RMS platforms employ dynamic pricing, continuously recalibrating room rates in real time based on demand fluctuations. Open pricing allows different room types and customer segments to be priced independently, maximizing Revenue per Available Room (RevPAR).

Advanced RMS platforms run multiple pricing optimizations per day, ensuring rates stay competitive. A major innovation is dynamic optimization, which responds to sudden demand surges outside scheduled pricing updates. For example, if a major concert or conference is announced, an RMS with dynamic optimization will immediately adjust prices rather than waiting for the next scheduled update. This prevents rooms from selling at suboptimal rates and ensures hotels capture peak revenue during high-demand periods. Additionally, many RMS platforms now extend beyond room pricing, optimizing ancillary revenue streams such as food & beverage, event spaces, and valet services, allowing for a more holistic revenue strategy.

Once rates are optimized, the RMS distributes them across all sales channels, including the hotel's website, Online Travel Agencies (OTAs), and corporate booking platforms, ensuring pricing consistency. This automation reduces manual effort while improving pricing accuracy. With continuous advancements in real-time demand monitoring, multi-department revenue forecasting, and AI-driven optimizations, RMS technology is revolutionizing how hotels maximize revenue. By leveraging these tools, hotels can stay competitive, capitalize on demand fluctuations, and drive profitability in an increasingly dynamic industry.

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We rank products based on our proprietary ranking algorithm, the HT Score. The HT Score is an aggregated score out of 100 that is relative within each category that is intended to encapsulate key variables in the buying process including: customer ratings & reviews, partner ecosystem, integration availability, customer support, geographic reach and more.

Similar to REVPAR for hotels, the HT Score is intended to be a normalizing metric to be able to better compare different vendors. Instead of rate and occupancy, the two prinmary drivers are a blend of review quantity and average ratings. Also similar to REVPAR, the HT Score is a metric to aid in decision making but is not intended to be used as a sole factor when selecting vendors.

To learn more about the HT Score ranking methodology, visit our HT Score documentation and changelog

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HTR crowd sources tens of thousands of verified reviews every year and aggregates hundreds of thousands of other data points ranging from expert recommendations to product integrations data which are instantly analyzed and made available to millions of hoteliers around the globe to discover, vet and research digital products for free on the platform to make technology decisions faster, easier and less risky-thus speeding up the pace of global innovation and adoption of technology.

Choosing the right software for your hotel depends on dozens of variables many of which can be quantified based on the characteristics of your property but many of which also come down to personal preference. Is your hotel a small property with limited budget? Or is your property a luxury resort with lots of outlets and high ADR? HTR is designed to offer dynamic filters to quickly be able to personalize the data set to your characteristics. We also break down hotels into key segments/personas based on common property characteristics that typically service as indicators that drive similar product decisions which are intended to help you save time and quickly identify the best match for your hotel or portfolio.

While HTR’s data set is constantly growing making its recommendations more representative and accurate over time, our programatic recommendations based on the HT Score, data and segment popularity are intended to serve as a tool for you to leverage in the buying journey but do not replace thorough due dilligence and research. No two hotels are alike and most purchasing decisions also include personal preferences which is why we highly recommend that buyers consider a minimum of 3-5 vendors during the research processthat you get live demos and price quotes from to be able to make an informed decision.

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