20 Hotel Revenue Management Systems (RMS) In 2026

If you still rely on spreadsheets, your revenue manager probably struggles to maximize revenue efficiently. Modern hotel revenue management software analyzes market data and market trends to optimize pricing strategies.

In fact, the best hotel revenue management system can help lodging operators increase room revenue by up to 35% through dynamic pricing. These tools forecast demand, suggest prices, and save significant time. Investing in the right RMS lets you make smarter decisions and maximize hotel revenue. 

Read on for a complete hotel revenue management system overview and explore the leading solutions available in 2026 for the hospitality industry.

Introduction to Hotel Revenue Management Systems

A hotel revenue management system is a tool that helps hoteliers manage pricing, inventory, reporting, and data efficiently. The system uses algorithms to analyze internal and external data for smarter pricing and optimal pricing decisions.

When revenue managers understand the key components of the hotel revenue management system, it helps them track competitor pricing, forecast market demand, and align with their overall revenue strategy. In fact, the RMS market reached $16.41 billion in 2023 and is projected to hit $29.43 billion by 2031. This growth highlights how revenue optimization has become a core part of hotel operations.

Leading tools integrate with property management systems (PMS) and channel managers, collect seasonal and event data, and suggest prices. Hoteliers then use them to maximize occupancy, drive revenue growth, and long-term profitability.

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Also read: Top 11 Dynamic Pricing Software for Hotels You Should Know

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Quick Comparison Table

Before diving into a detailed overview of hotel revenue management solutions, here’s a quick look at the top 20 tools we’ve reviewed:

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20 Best Hotel Revenue Management Systems for 2026

Wonder how leading hotels ramp up their revenue so fast? Many increase RevPAR by UP TO 35% simply by leveraging the right hotel revenue management software. 

With so many options on the market, picking the right one can be overwhelming. That’s why we’ve compiled a list of top-rated tools to help you find the perfect fit for your property.

1. roommaster

As part of the modern, fully upgraded cloud-based roommaster PMS, roommaster RMS automatically optimizes pricing using AI. It combines dynamic pricing, rate management, competitor analysis, and demand forecasting to help hotels manage revenue management strategies efficiently. Thousands of hotels worldwide rely on roommaster  RMS to streamline operations, increase revenue, and save valuable time.

Hotels using roommaster RMS report up to 35% higher RevPAR, 40% higher ADR, while maintaining occupancy, and an average of 29 hours saved per month per revenue manager. roommaster achieves these results by optimizing pricing in real time, continuously monitoring competitor rates, and detecting demand spikes from local events. The system identifies conferences, concerts, sports events, and festivals, then adjusts pricing to maximize revenue during these high-demand periods.

roommaster also allows hotels to maintain control while leveraging automation. Hotels can define custom pricing rules, set minimum and maximum rates for each room type, and ensure all recommendations align with brand standards and revenue goals. Its AI engine continuously learns from market conditions and booking patterns, producing increasingly effective pricing recommendations over time.

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2. ampliphi RMS 

Want to boost revenue with smarter rates? ampliphi RMS uses AI and automation to adjust pricing dynamically based on real-time demand and market trends. It tracks live demand, provides market insights, and integrates seamlessly with your PMS and channel manager, like roommaster.

ampliphi’s Auto Pilot feature automatically updates your rates using live data, helping you save time, maintain control, and enforce pricing rules that match your goals. Its machine learning predicts shifts in demand, enabling revenue managers to adjust prices proactively for peak periods and prevent underpricing during slow seasons. 

Plus, its market intelligence tools continuously monitor competitor rates and booking trends, keeping your pricing strategy sharp and effective.

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3. Lighthouse (formerly OTA Insight)

Lighthouse Intelligence (formerly OTA Insight) is a cloud‑based commercial platform that delivers real‑time market and pricing intelligence to help hotels and accommodation providers make smarter revenue decisions. Trusted by over 65,000 properties in 185+ countries, Lighthouse transforms complex market data into actionable insights that support pricing, forecasting, benchmarking, and distribution strategy.

Originally known for its rate shopping capabilities, Lighthouse has expanded into a unified platform that combines competitive pricing analysis, demand forecasting, benchmarking tools, parity control, and business intelligence, all powered by AI and machine learning to boost revenue performance.

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4. Smartpricing

Smartpricing is an AI‑powered revenue management and dynamic pricing system designed for hotels, B&Bs, vacation rentals, and other accommodation providers. It uses machine learning to analyze large volumes of data and automatically adjust room prices, helping properties increase revenue without needing constant manual input.

It started in Italy and has grown rapidly, serving thousands of hospitality businesses and processing millions of bookings. Its software integrates with property management systems (PMS) and channel managers to update pricing in real time across sales channels.

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5. Pricepoint

Data scientists with 20 years of experience designed Pricepoint to use AI for real-time room pricing optimization, reacting instantly to changes in availability. Hotels that use Pricepoint typically increase revenue by 19% and boost occupancy by 13.4%. 

The mobile app lets you stay in control while automation updates prices across OTAs, freeing up your time. Pricepoint analyzes customer behavior, seasonality, and competitor rates, runs thousands of simulations, and automatically recommends optimal prices efficiently.

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6. BEONx (formerly Beonprice)

Getting the right rate at the right time is hard. BEONx addresses this challenge with intelligent tools designed for real market conditions. Its AI-driven platform actively adjusts hotel pricing by analyzing live demand, competitor rates, and your property’s performance data. 

One of its standout features, the Hotel Quality Index (HQI™), scores your hotel’s market strength using clear quality indicators. Through automation combined with smart controls, BEONx enables revenue managers to respond quickly while maintaining complete strategic control.

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7. Turbosuite

Turbosuite is a next‑generation revenue management system that uses big data, AI, predictive analytics, and expert revenue strategy to help hotels and accommodation providers maximize profits. 

It offers dynamic pricing, competitor benchmarking, forecasting, and comprehensive analytics to automate pricing decisions, improve distribution strategies, and support revenue growth. Its modular suite and integration capabilities make it suitable for a variety of property types and sizes, from single units to larger portfolios.

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8. LodgIQ

LodgIQ ingests and analyzes vast amounts of data, including your hotel’s performance, competitor pricing, booking pace, local events, flight patterns, and market demand. Then, it uses AI and machine learning to produce dynamic pricing recommendations and accurate revenue forecasts. LodgIQ’s GroupIQ and ForecastIQ modules help hotels price group business strategically by accounting for incremental revenue, displacement effects, and alternative-date opportunities. 

Its recent integrations with Host Hotel Systems and D-EDGE demonstrate the platform’s flexibility and global reach, helping hotels in different markets adopt AI pricing seamlessly within their existing tech stack. Beyond pricing, LodgIQ provides insights that support sales, marketing, and distribution decisions, helping independent hotels, branded properties, multi-property groups, and commercial revenue teams align around a unified revenue and commercial strategy.

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9. Duetto

Duetto enables hotels, casinos, and resorts to set smarter rates using real-time data. Its open pricing approach lets you control rates by room type, channel, and segment without relying on fixed rules. 

The GameChanger suite empowers your team to adjust prices dynamically based on demand and loyalty patterns. Duetto’s forecasting tools identify trends early, and its data visualizations help teams make faster, more informed decisions.

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10. Atomize

Atomize RMS keeps hotel rates competitive by adjusting prices in real time through automated tools. Autopilot mode applies your settings automatically, saving time and reducing effort. Managers update pricing quickly from anywhere using the mobile-friendly interface. 

This setup allows hotels to respond rapidly to market changes and maintain smart pricing without constant manual work.

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11. RevControl

RevControl helps hotels, hostels, serviced apartments, and vacation rentals improve rates and occupancy through smart automation. Its algorithm analyzes demand, competitor pricing, and booking trends to deliver actionable rate suggestions. You can monitor competitors, manage group pricing, and push automated rate updates directly to your PMS or channel manager.

It simplifies pricing management with rate buckets and a visual rate calendar, reducing manual effort. The platform also provides performance reporting tools that help you quickly identify trends and refine your revenue strategy.

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12. Rate Quantum

Rate Quantum uses machine learning and probabilistic modeling to analyze thousands of data points every day to determine optimal room rates. Unlike traditional RMS tools that rely heavily on competitor pricing or historical trends alone, Rate Quantum assesses real‑time demand signals and booking behavior to adjust rates dynamically as market conditions evolve. 

Once you set up the system, it runs autonomously and continuously recalculates prices, reducing the need for daily oversight. Users can still override the automation when needed, but the platform generally operates hands‑off after initial configuration. 

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13. PriceLabs

PriceLabs monitors real-time market data and booking activity to optimize your nightly rates automatically. It tracks local trends, including seasonality, events, and booking pace, to create pricing tailored to your property.

The software combines past performance with incoming reservations to generate accurate daily price recommendations. When you set custom pricing rules, and PriceLabs applies them across all your channels without manual effort. 

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14. Revolution Plus

Revolution Plus ingests both historical and real‑time data, including past performance metrics, booking patterns, market trends, weather conditions, and competitive influences, and applies AI and machine learning to deliver dynamic pricing recommendations. The system continually recalculates optimal rates rather than relying on static price grids.

The software also offers automated price updates (via autopilot) and direct connectivity with PMS and channel managers, reducing manual work and improving responsiveness to market changes.

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15. Beyond

Beyond actively analyzes live demand signals and booking behavior to set optimal short-term rental prices in real time. Its pricing engine anticipates seasonal shifts and market fluctuations, allowing properties to capture higher revenue as demand changes. 

Revenue managers define their own pricing rules while the system delivers daily, data-driven recommendations based on historical performance. 

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16. Diamo

Diamo eliminates manual rate management by actively adjusting room prices using AI. The platform monitors market conditions, competitor movements, and booking patterns to update rates automatically. 

Its built-in assistant, Andi, analyzes historical results alongside live demand signals to recommend smarter pricing actions. Hoteliers define their pricing rules once, and Diamo executes those strategies continuously through direct PMS integration. 

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17. FLYR Hospitality

Formerly known as Pace Revenue, FLYR Hospitality delivers an AI-powered hotel revenue management platform that automates pricing, inventory management, and group booking strategies. The system updates rates hourly by analyzing live PMS data, competitor pricing, and local events. You can define rules for seasons or special events while retaining manual control whenever needed.

FLYR Hospitality helps hotels avoid low-value bookings during high-demand periods and applies length-of-stay controls to protect revenue. For group business, the platform accelerates the quoting process by providing smart price recommendations and displacement analysis.

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18. RateGenie

RateGenie empowers you to set rental rates confidently using dynamic pricing algorithms that update all channels daily. The system automatically adjusts rates based on occupancy and historical trends, helping you boost revenue by up to 30%. 

Real-time data and intuitive charts provide clear insights, letting you refine your pricing strategies quickly. You can create custom rules for last-minute bookings, local events, or specific days, and Rategenie pushes updated rates to Airbnb and other platforms automatically. 

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19. TakeUp

TakeUp is an AI‑powered revenue management platform built to help independent hotels and hospitality properties optimize pricing and grow revenue without relying on manual rate setting or large revenue teams.  Its system combines dynamic pricing automation with human revenue strategist support, allowing properties to benefit from enterprise‑grade pricing tactics without enterprise complexity.

The platform also builds a feedback loop by tracking outcomes of pricing decisions and refining recommendations over time, so pricing decisions improve continuously.

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20. Blastness

Blastness combines AI-driven automation, flexible pricing strategies, and advanced market intelligence to optimize hotel revenue in real time. Its Dual Revenue Management approach lets properties price direct and OTA channels differently, boosting direct bookings, enhancing RevPAR, and responding quickly to market trends.

The proprietary Algorithm S2 analyzes internal hotel data, real-time market conditions, competitor pricing, booking behavior, seasonality, and local events. It recalculates optimal pricing continuously, helping hotels react fast to demand shifts. Integrated forecasting, predictive algorithms, automated rate updates, and detailed analytics make Blastness a powerful hotel revenue management system for properties of all sizes.

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How We Evaluated These Tools

We conducted extensive research across multiple review platforms, including G2 and Capterra, industry reports, and user testimonials to evaluate these hotel revenue management systems. Our analysis included checking customer feedback on performance, ease of use, and ROI, as well as examining feature sets, integration capabilities, pricing models, and AI or automation functionalities.

We also compared real-world results, such as improvements in RevPAR, occupancy, and ADR, and considered how each platform supports both independent hotels and larger chains. By combining quantitative data with expert insights, we created a comprehensive view of which tools perform best in different hospitality settings.

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Key Features to Look For in Hotel Revenue Management Systems

When choosing a hotel RMS, selecting a platform with the right features can make a significant difference in maximizing revenue and streamlining operations. Here are the key capabilities to prioritize:

• Dynamic pricing and rate optimization: The RMS should automatically adjust room rates in real time based on market demand, competitor pricing, seasonality, and booking pace to maximize revenue without constant manual input.
• Forecasting and demand analysis: Look for tools that forecast occupancy, RevPAR, and revenue using historical data and predictive analytics. Accurate demand forecasting helps plan pricing strategies and manage inventory efficiently.
• Competitor rate tracking: Effective RMS platforms monitor competitor pricing in real time, allowing hotels to maintain a competitive edge while adjusting rates strategically.
• Event and market intelligence: The system should analyze local events, holidays, and other market signals that impact demand, enabling hotels to capitalize on high-demand periods.
• Automation with custom rules: Automated rate updates save time, but it’s crucial to set custom rules or limits to maintain control over your pricing strategy.
• Integration with PMS and distribution channels: Seamless integration with property management systems, metasearch engines, hotel website builder, and channel managers ensures consistent pricing and inventory across all platforms.
• Reporting and analytics: Look for RMS tools with dashboards and reporting features that provide data-driven insights into revenue performance, booking trends, and strategy effectiveness.

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Interesting read: New Era of Data Analytics in Hospitality Industry

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How to Choose the Right Hotel Revenue Management System

Here’s a step-by-step approach to choosing the right hotel revenue management solution:

1. Identify your property’s needs

Start by assessing your hotel type, size, and distribution channels. Independent hotels, boutique properties, and large chains have different requirements, so choose an RMS that aligns with your property’s scale and revenue strategy.

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2. Prioritize key features

Look for systems that offer dynamic pricing, forecasting, competitor tracking, market intelligence, automation, and integration capabilities. Make sure the platform supports your goals, whether it’s maximizing RevPAR, improving occupancy, or boosting direct bookings.

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3. Evaluate automation and control

The right RMS should automate daily pricing updates while allowing you to set custom rules, pricing boundaries, and manual overrides. Balance automation with control to ensure your strategy aligns with your business objectives.

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4. Check integrations

Ensure the system integrates seamlessly with your PMS, channel managers, and other operational tools. Smooth integration reduces manual work, prevents errors, and keeps pricing consistent across all booking channels.

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5. Consider ease of use and support

A user-friendly interface and intuitive dashboards are critical for adoption. Additionally, evaluate the vendor’s customer support, training resources, and responsiveness to ensure you can rely on them when needed.

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6. Analyze ROI and performance metrics

Review case studies, reviews, and data on how the RMS affects RevPAR, ADR, and occupancy. Consider systems that provide actionable insights, detailed reporting, and measurable results.

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7. Test and trial

Whenever possible, take advantage of demos or trial periods to see the system in action. This allows your team to evaluate usability, automation features, and overall fit with your operational workflow.

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8. Assess scalability

Choose a system that can grow with your property. It should handle expansion, additional room types, or multiple locations while maintaining accurate pricing and reporting.

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Choose the Right Hotel Revenue Management Software

Hotels often lose revenue when they price rooms statically in fast-changing markets. Large hotel chains use advanced pricing systems to adjust rates dynamically, while smaller properties usually lack the revenue teams or budgets to compete at the same level.

roommaster Revenue Optimization gives independent hotels a competitive advantage by delivering an automated platform that actively monitors demand patterns and market signals to update rates intelligently. By integrating directly with ampliphi RMS, the system strengthens pricing decisions with real-time, AI-driven insights.

Hotels define their pricing strategy once, and roommaster executes it continuously, adjusting rates as market conditions shift without requiring daily intervention.

Take control of your pricing strategy today—book a demo now!

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FAQs

What is a Hotel Revenue Management System (RMS)?

A hotel revenue management system (RMS) is software that helps hoteliers optimize room pricing, forecast demand, monitor competitors, and manage inventory. It uses data analysis to improve revenue, occupancy, and overall profitability efficiently.

How do AI-driven RMS platforms differ from traditional systems?

AI-driven RMS platforms use machine learning and real-time data to automate pricing and predict demand. Traditional systems rely mainly on historical data and manual calculations, making AI solutions faster, more accurate, and responsive to market changes.

What ROI can hotels expect from implementing an RMS?

Hotels can typically see up to 35 % increase in RevPAR and higher occupancy rates by implementing an RMS like the roommaster. RMS platforms also save revenue managers time, streamline operations, and provide actionable insights that improve overall profitability.

Which RMS is best for small boutique hotels?

roommaster RMS is ideal for hotels of all sizes, including small boutique hotels. It offers user-friendly interfaces, automated dynamic pricing, and seamless PMS integration, allowing boutique properties to maximize revenue without needing large revenue teams.

How long does RMS implementation typically take?

Implementation usually takes a few weeks, depending on property size, complexity, and existing systems. Cloud-based RMS platforms often speed up the process while requiring minimal IT resources.

Can RMS integrate with existing PMS and channel management systems?

Yes, most modern RMS platforms, including the roommaster PMS, integrate with PMS, channel managers, and distribution channels. This ensures synchronized pricing, avoids overbookings, and provides a consistent guest experience across all platforms.

What are the key performance indicators for RMS success?

Some of the most common KPIs include RevPAR, ADR, occupancy rates, revenue growth, pricing accuracy, and time saved for revenue managers. Monitoring these metrics ensures the RMS delivers measurable improvements in profitability and efficiency.

Do hotels need dedicated staff to manage RMS platforms?

No, most AI-driven RMS platforms automate daily pricing tasks. Hotels only need staff to set strategy, monitor performance, and adjust rules, which reduces manual workload while maintaining control over revenue decisions.