How will AI and data-driven strategies shape the future of revenue management in hospitality?
How can analyzing data at different levels - comp set, country, or class - help revenue managers uncover the full story behind hotel numbers and drive collaboration across departments?
From late check-outs to daytime cabanas - how can hotels turn every touchpoint into a revenue opportunity?
How can Causal AI help hotels optimize pricing and promotions?
The core principles of Revenue Management haven’t changed, but the needs of modern Revenue Management teams certainly have. How does our technology need to evolve in order to keep up and adequately support them?
How can hotels shift from reactive RFP management to proactive revenue capture with automation and instant booking?
How is AI-powered data engagement, driven by GPT and LLMs, transforming revenue management from a technical skill into a universal language?
From automation to instant booking - what tools are transforming the group travel experience for suppliers?
In this series, we spoke with a variety of companies in the Travel & Hospitality industry about how they have embraced the use of AI technologies in both their internal operations and the creation of their products.
In this series we'll be speaking with a variety of companies in the Travel & Hospitality industry who have embraced the use of AI technologies.
The core principles of Revenue Management haven’t changed, but the needs of modern Revenue Management teams certainly have. How does our technology need to evolve in order to keep up and adequately support them?
How can hotels shift from reactive RFP management to proactive revenue capture with automation and instant booking?
How is AI-powered data engagement, driven by GPT and LLMs, transforming revenue management from a technical skill into a universal language?
How is RMS innovation redefining guest experiences, ancillary revenue, and AI-driven decision-making?
