Stop The Hype, Start The Action: Real AI for Real Revenue Management

How AI solutions go beyond the hype to deliver real revenue growth for hotels.

Many AI solutions promise to revolutionize revenue management, but few deliver real impact. In this article, we explore how AI enhances automation, forecasting, and pricing strategies to drive profitability.

How AI solutions go beyond the hype to deliver real revenue growth for hotels.

Many AI solutions promise to revolutionize revenue management, but few deliver real impact. In this article, we explore how AI enhances automation, forecasting, and pricing strategies to drive profitability.

Stop The Hype, Start The Action: Real AI for Real Revenue Management

Artificial intelligence (AI) is often positioned as a transformative force in Revenue Management within the hospitality industry. However, bringing its impact to life has proven more challenging than initially anticipated. The key question is not whether AI has potential, but how it can deliver real, measurable results in hotel revenue optimization.

A recent report from PhocusWire, titled “AI’s Impact on Travel Startups”, highlights that while AI has significantly improved certain processes, challenges remain—particularly regarding data quality and the integration of AI within existing revenue management strategies. In the hospitality sector, the most effective approach is to focus on practical AI applications that are already driving profitability and operational efficiency.

Lets explore in this article how AI is shaping what’s next in the world of revenue management, what is really harnessing actionable impact and how can hotels use it for their advantage.

The challenge of AI implementation in Revenue Management

The conversation around AI in revenue management is not just about hype—it’s about ensuring successful implementation and impact. The real difficulties hotels face are rooted in:

  • Siloed data and disconnected systems: AI’s effectiveness depends on seamless integration with PMS, CRS, and CRM platforms. Without this connectivity, insights remain fragmented and decision-making suffers. 
  • Generic models vs. tailored intelligence: Many RMS platforms rely on broad, one-size-fits-all AI models that do not adapt to the unique needs of each hotel, resulting in suboptimal revenue strategies.

AI in Revenue Management: What is really driving results?

1. Automating Revenue Management for efficiency

AI-powered automation is redefining revenue management by eliminating manual tasks, improving operational agility, and ensuring precision in pricing strategies. BEONx’s AI-driven solutions optimize rate and availability distribution across multiple channels, ensuring hotels maximize revenue opportunities.

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“The future of revenue management isn’t just about automation—it’s about empowering smarter decision-making. As an RMS, BEONx harnesses AI to deliver actionable insights that drive profitability, ensuring hoteliers stay in control of their strategy.”

Álvaro Ponte Blanco

VP of Data at BEONx

2. Advanced Forecasting with AI

Machine learning models enable more precise demand forecasting by analyzing multiple real-time data sources. BEONx integrates AI to enhance forecasting accuracy, allowing hoteliers to anticipate market shifts and adjust pricing strategies accordingly.

3Optimized pricing strategies

AI enables hotels to adjust pricing dynamically based on demand, competitor trends, and customer segmentation. Unlike rigid, rule-based pricing models, AI-powered pricing adapts in real time, ensuring that every booking opportunity is optimized for profitability.

How Revenue Managers Can Maximize AI’s Potential

To fully leverage AI in revenue management, hotels must focus on key strategic areas:

  • Cultivating a data-driven culture: Rather than just investing in AI, hotels need to ensure data accuracy, consistency, and accessibility across all platforms.
  • Fostering AI-RM synergy: AI enhances, rather than replaces, human expertise. Revenue managers must work alongside AI to refine strategies and extract maximum value.
  • Measuring success with clear KPIs: AI implementation should be aligned with RevPAR, ADR, GOPPAR, and total revenue growth, ensuring tangible impact on business performance.

“The synergy between AI and human intelligence is crucial for driving a Revenue 360 strategy, empowering Revenue Managers (RMs) to make informed decisions with confidence.” says Ponte.

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Unlock your potential

Speak with one of our dedicated hotel experts and get started on your journey to sustainable profitability.

“Beonprice has not only helped us in a technological way, but also in a human way. The support and understanding of the people who make up Beonprice, especially during the difficult times we have gone through in recent years, has been exceptional. The team is remarkable.” – 

Pedro Pavón,  Revenue

Management Director at Casual Hoteles.

Unlock your potential

Speak with one of our dedicated hotel experts and get started on your journey to sustainable profitability.

Exp.: 08/22/SA/0012 . Línea 2022 Expansión internacional de Pymes.
Expansión internacional de las PYMES de la Comunidad de Castilla y León
Objetivo: “Conseguir un tejido empresarial más competitivo”
Actuación subvencionada: Participación en la feria FITUR (Madrid, Enero 2023)

Exp.: 03/18/SA/0022 Línea: Fomento de la innovación en Pymes
Proyectos de innovación en en ámbito tecnológico de las Pymes
Descripción del proyecto: Diagnóstico de ciberseguridad y seguridad IT de la plataforma SAAS de Beonx

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Proyectos de desarrollo de las TIC en Pymes
Descripción del proyecto: Smart Hotel Distribution for General Purpose: Nueva solución de Revenue Management System
para la optimización de la distribución en la venta de habitaciones de hotel.