Remove Cancellation Remove Closing Remove Revenue Management
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How Hotels Can Use Data Analytics To Anticipate And Manage Peak Season Demands

Hotel Speak

Each system contributes unique insights that inform decisions across departments: Key Data Sources: Property Management Systems (PMS) occupancy rates, check-in/check-out patterns, room types booked. Revenue Management Systems (RMS) historical pricing data, demand curves, forecasted occupancy. families, business travelers)?

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Hotel bidding sites: The ultimate guide for hotel owners

SiteMinder

Keep rooms selling year-round When a conference cancels or a storm rolls in, you need a fast outlet for distressed inventory. Bidding sites run around the clock, acting as a safety net that converts last-minute supply into revenue instead of empty space.

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In times of uncertainty, hotels have a reason to lean in

SiteMinder

UN Tourism reported at the close of May of this year that over 300 million tourists travelled internationally in the first three months of 2025, three percent above the same period in 2019. In today’s experience economy, these non-room offerings are increasingly stepping out of the shadows as revenue management moves towards profitability.

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RoomRaccoon Introduces RaccoonRev Plus: AI-Powered Pricing To Make Independent Hotels More Profitable

Hospitality Tech

RaccoonRev Plus is engineered to bridge the gap between basic rule-based pricing and the full complexity of traditional Revenue Management Systems (RMS). Looking beyond revenue, van Dyl sees this as the first step in RoomRaccoons broader AI journey. “Revenue management is just the beginning.

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How Data Analytics in the Hospitality Industry and AI Are Transforming Hotel Operations

AskSuite

Pattern recognition: Machine learning algorithms can identify guest behavior trends (such as when and how guests are most likely to book or cancel) and recommend actions automatically—adjusting rates, triggering follow-up messages, or flagging leads for the sales team.

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How Data Analytics in the Hospitality Industry and AI Are Transforming Hotel Operations

AskSuite

Pattern recognition: Machine learning algorithms can identify guest behavior trends (such as when and how guests are most likely to book or cancel) and recommend actions automatically—adjusting rates, triggering follow-up messages, or flagging leads for the sales team.

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Hotel laws & regulations: How to stay compliant for hotel owners

SiteMinder

Accessibility, fire safety and clear guest pricing are all closely monitored, and hotels must display their lodging license publicly at the property. Examples include: Hotel refund laws While some states have mandatory refund rules for specific situations, your stated cancellation policy will generally take precedence.

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