AI-Driven Revenue Management Takes Center Stage with N2Pricing Commercial Suite at HITEC 2025

Revenue Analytics’ N2Pricing Commercial Suite Highlights AI’s Growing Role in Hospitality

Artificial intelligence (AI) is becoming a key element in hospitality, especially within revenue management. As automation gains ground in hotel operations, AI tools help hoteliers extract valuable insights from complex data sets. Recently, Revenue Analytics introduced the N2Pricing Commercial Suite, expanding its revenue management system to better serve hotel revenue managers.

At HITEC 2025, Tess McGoldrick, senior vice president of travel and hospitality at Revenue Analytics, shared insights about the suite and its AI capabilities.

Is the N2Pricing Commercial Suite AI-Powered?

The suite has always included AI elements, mainly through machine learning for predictive analytics. However, with the rise of generative AI, the focus has shifted to freeing up revenue managers to focus on higher-value tasks. The suite acts as a tool for better storytelling, collaboration across teams, and delivering clear insights to property owners.

Developing the N2Pricing Commercial Suite

The development process centered on the real-world questions revenue managers encounter daily. Revenue managers often juggle multiple queries from various stakeholders on-site. Revenue Analytics layered the suite on top of existing data to simplify answering these questions, providing an easier starting point for meaningful analysis.

Common Pitfalls When Using AI in Revenue Management

A major risk is over-reliance on AI without applying human judgment. The suite is designed to offer a draft or starting point—an editable canvas where users can review and adjust AI-generated insights. This approach encourages a partnership between human expertise and AI assistance, rather than blindly accepting AI outputs.

Is Reliance on AI a Concern?

So far, the community of revenue managers has shown resilience and critical thinking. These professionals naturally question the data and insights they receive, which reduces the risk of overdependence on AI. This critical mindset is a strong asset in adopting new technology effectively.

Next Steps for the N2Pricing Commercial Suite

Revenue Analytics plans to follow a customer-driven path. Feedback from users will shape future iterations of the platform. The team is exploring integrating additional data sources to improve the quality of insights. Rather than adding more static reports, the focus is on enhancing the editable AI-generated canvas to better meet user needs.

The Future of AI in Revenue Management

AI has been part of revenue management for years through machine learning, but generative AI now adds new content capabilities. Internally, Revenue Analytics already uses such tools, and integrating them into products is the anticipated next phase for both the company and the wider industry.

For hospitality professionals interested in building AI skills relevant to revenue management and other hotel operations, exploring specialized training can provide practical advantages. Explore AI courses tailored to hospitality roles for hands-on knowledge and strategies.