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Revenue Analytics​

Plateforme de gestion des revenus pour l'hôtellerie avec tarification automatisée et prévision de la demande.

5
12 avis
Systèmes de Revenue Management
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À propos de Revenue Analytics​

Revenue Analytics is the AI-powered revenue management company founded in 2005 that helps organizations turn complex pricing into a competitive advantage with expert-guided AI solutions. Their hospitality product, N2Pricing, is a cloud-based revenue management system that replaces manual RMS tasks and spreadsheets with intelligent automation, delivering 50+ hours back to revenue teams each month. Revenue Analytics serves hospitality, manufacturing, distribution, media, private equity, and passenger rail industries, combining advanced AI with deep domain expertise.

Ce Qui les Distingue

Revenue Analytics differentiates through deep vertical expertise cultivated over 20+ years, having pioneered the field of yield management. Unlike generic pricing platforms, they combine advanced AI and data science with hands-on domain knowledge across hospitality, media, manufacturing, and rail. Their RMS, N2Pricing, is built specifically for multi-property portfolio management and delivers measurable outcomes (3.5% RevPAR uplift, 10x ROI, 50+ hours/month saved per user), uniquely blending SaaS technology with expert consulting.

Marchés et Couverture

Présent dans 27 pays

Marchés et Couverture

(27)
EspagnePortugalFranceItalieGrèceCroatieRoyaume-UniAllemagneAutricheSuissePays-BasBelgiqueIrlandeÉtats-UnisCanadaMexiqueBrésilColombieRépublique TchèquePologneHongrieRoumanieNorvègeSuèdeDanemarkFinlandeIslande

Langues Supportées

AnglaisPrincipal

Segments de Marché

  • LuxePrincipal
  • Économique
  • Plage et Côte
  • Urbain
  • Entreprise et Long Séjour

Technologie et Intégrations

Fonctionnalités Principales

  • Demand forecasting
  • Multi-property & multi-brand support
  • Competitive pricing analysis
  • Dynamic pricing engine
  • Revenue forecasting

Intégrations

12 intégrations dans 4 catégories

Logiciels de Gestion Immobilière

9

Autres

1

CRM et Gestion des Prospects

1

Gestionnaires de Canaux

1

Avis

12 avis d'utilisateurs vérifiés

5

12 avis

100%

Recommanderaient

Affichage de 6 sur 12 avis

R

Revenue Manager from 100 to 199 room Bed & Breakfast & Inns in Paraiso (Mexico)

mai 2026
HotelTechReport
5

Amazing!

What do you like most? I Can see better my Revenue Oportunities also I can see the price recomendation , hurdle rate . I can verify the guest´ssensitive.

What do you dislike or think could be improved? dashborad, I speak Spanish , so , I Prefer the spanish language. everthing is working very well . I am new, so , let me try more time.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

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G

General Manager from 100 to 199 room Bed & Breakfast & Inns in Albuquerque (United States)

mai 2026
HotelTechReport
5

Easy and Efficient

What do you like most? I love that N2 pricing picks up on trending dates and adjusts pricing accordingly, sometimes before I even see the pick-up happening. I also like how user friendly it is.

What do you dislike or think could be improved? I would like to see N2 pricing do more than just a few updates throughout the day. Once every 2 hours would work best for properties like mine that see a lot of same day transient traffic.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

Voir l'original
G

GENERAL MANAGER from 100 to 199 room Bed & Breakfast & Inns in Queretaro City (Mexico)

mai 2026
HotelTechReport
5

Great flight plan

What do you like most? All the recommendations, pricing and demand, forecast, strategy, automation, and all about revenue, save time, giving better results, with the best planning.

What do you dislike or think could be improved? Maybe, more rates recommendations, but now, i think everything it’s great, they have a great plan, with a different revenue view.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

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G

General Manager from 50-74 room Bed & Breakfast & Inns in Cocoa Beach (United States)

mai 2026
HotelTechReport
5

Great Experience!

What do you like most? I enjoy the capabilities of the platform and how user friendly it is. We have noticed an increase in revenue since the program launched at our hotel.

What do you dislike or think could be improved? Dynamic differentials can be a bit challenging to understand at first but once you get to hang of it, it makes sense.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

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D

DIrector of Sales from 50-74 room Bed & Breakfast & Inns in Bainbridge (United States)

mai 2026
HotelTechReport
5

Great system

What do you like most? I like most that its ability to optimize rates dynamically, ensuring maximum revenue while reducing manual effort. Its real-time data analysis and automation help you stay competitive without constantly adjusting prices manually. The system’s efficiency, accuracy, and impact on profitability make it a valuable tool for revenue management.

What do you dislike or think could be improved? Improvements could include more customizable pricing rules to better align with unique business strategies, enhanced integration with other property management systems for seamless data flow, and more transparent reporting for deeper insights into pricing decisions. Additionally, refining AI-driven forecasts to better adapt to sudden market shifts could further enhance its effectiveness.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

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G

General Manager from 100 to 199 room Bed & Breakfast & Inns in Quebec City (Canada)

mai 2026
HotelTechReport
5

N2P is great!!!

What do you like most? Very user friendly interface. Accurate recommendations by the system and very easy to modify rates. It helps us with decision-making following system recommendations.

What do you dislike or think could be improved? Facility to modify by exact room type. It could be easier to work on while using I phones. Sometimes it’s not that user friendly on cell phones.

Sub-scores: Ease of Use 5.0/5 | Customer Support 5.0/5 | ROI 5.0/5 | Implementation 5.0/5

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  • Revenue Analytics is the AI-powered revenue management company founded in 2005 that helps organizations turn complex pricing into a competitive advantage with expert-guided AI solutions. Their hospitality product, N2Pricing, is a cloud-based revenue management system that replaces manual RMS tasks and spreadsheets with intelligent automation, delivering 50+ hours back to revenue teams each month. Revenue Analytics serves hospitality, manufacturing, distribution, media, private equity, and passenger rail industries, combining advanced AI with deep domain expertise.

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