Remove Cancellation Remove Forecasting Remove Occupancy
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How decision intelligence unlocks hotel data for better insights

Cloudbeds

This scalability is especially valuable for hotels – as more information is collected about guest behavior, booking trends , and occupancy patterns the more precise rate adjustments, inventory management, and marketing strategies will be in the future. Why it’s important for hotels? Why it’s important for hotels?

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How Hotels Can Use Data Analytics To Anticipate And Manage Peak Season Demands

Hotel Speak

Predictive Demand Forecasting Predictive analytics utilizes historical data, market trends, and external factors to forecast future demand. By analyzing booking patterns, guest behavior, and local events, hotels can anticipate occupancy rates and adjust strategies accordingly.

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Hotel Cancellation Policy: Best practices & process

SiteMinder

What is a hotel cancellation policy? A hotel cancellation policy outlines the terms under which a guest can cancel their booking without incurring a penalty, as well as those scenarios where there will be a fee associated with a cancellation.

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Hotel Forecasting- Methods, Reports & Software to use

Hotelogix

Hotel forecasting, also known as hotel demand forecasting, is a strategic process that predicts future demand for hotel rooms and services based on historical data, market trends, and various influencing factors. What is Hotel Forecasting? Hotel financial forecasting helps hoteliers set targets by predicting fiscal outcomes.

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What is a Hotel Cancellation Policy? A Complete Guide

Hotelogix

The Hotel cancellation policy allows guests to cancel reservations up to a specified time before check-in. After this period is crossed, hotels may apply a cancellation fee, a percentage of the booking amount, or the entire booking cost.   Why Should Hotels Have Clear Cancellation Policies?  

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Hotel forecasting: Methods for small hotels

Little Hotelier

What is hotel forecasting? Hotel forecasting, also known as hotel demand forecasting, is a strategy that sees a hotel analyse historical data and trends to make predictions about future demand. Once your hotel has an idea of demand, you can make tweaks to your room and service prices that help maximise revenue and occupancy.

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Cloudbeds Unveils Industry’s First ‘Smart Hospitality Engine’, Powered by Causal and Multimodal AI

Hotel Speak

By allowing hotels to better understand and react to price elasticity in the market, the model is projected to increase RevPAR by up to 15% and boost occupancy rates by up to 10%, while maintaining efficient workflows with existing hotel staff.

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