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Guestline unveils AI-powered revenue…

  • Travel Weekly Group Ltd
  • 27 February 2025
  • 1 minute read
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This article was written by Travolution. Click here to read the original article

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Access Hospitality’s Guestline has announced it will unveil the integration of an AI-powered Revenue Management System (RMS) within its Property Management System (PMS), at ITB Berlin this year.

Powered by SHR and seamlessly integrated in Guestline’s PMS, the RMS uses artificial intelligence to provide live forecasting and automated pricing calculations.

Drawing live data from the Guestline PMS, the RMS leverages advanced AI to optimise revenue strategies, enhance accuracy, and streamline operations. 

Working with AI-powered demand forecasting, the system transforms complex data into actionable recommendations. 

This will provide insights to hoteliers to anticipate market fluctuations and adjust strategies proactively for advancing revenue opportunities. 

The system continually maximises performance using automated dynamic pricing based on real-time availability, demand patterns, and market trends, in turn reducing manual effort.

“Integrating a comprehensive AI-powered revenue management system into our Guestline Platform will help hoteliers automate time-consuming rate management and revenue processes,” said Andrew Metcalfe, product and engineering director of Access Hospitality. 

“As costs become more pertinent to profitability, hoteliers need increased revenue efficiency to stay ahead in changing and challenging markets.”

“Hoteliers will benefit from enhanced operational and commercial efficiencies, as we further integrate Access Group’s hospitality solutions, due to having access to comprehensive data capabilities,” he said.

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“Therefore, with increased automation – as we implement more AI and machine learning – hotels will be able to focus progressively on the guest experience rather than burdensome administration.”

Guestline RMS now sits alongside other third-party RMS available in the market.

Please click here to access the full original article.

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