Remove Cancellation Remove Consumer 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?

Upsell 105
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What is a bed bank? List of bed bank examples for hotels

SiteMinder

Serving as intermediaries in the travel industry, bed banks enable hotels to increase occupancy without directly managing complex distribution channels. These rooms are then resold to various travel distributors, such as OTAs, tour operators, and travel agents, who then offer them to end consumers.

OTA 96
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HAC Holds Annual Conference in Ottawa

Preno

Nicole Nguyen from CBRE pointed to a key challenge: “the battle of supply versus demand,” adding with 470,000 hotel rooms and peak national occupancy hovering at 66 per cent, the industry needs to unlock new off-season demand. Emile Gourieux from STR addressed economic volatility and shifting consumer behaviour. this summer.

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

SiteMinder

Consumer uncertainty triggered by trade tensions – compounded by a global rise in costs of living, political tensions and stricter travel advisories – may be weighing slightly on hotel demand at the moment. Much of this is being buoyed by a continuation of consumer prioritisation of travel.” “You just saw a kind of trickle down.

Revenue 59
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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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Nomadix Launches Energy Management Solution to Reduce Properties’ Operational Expenses and Enhance Sustainability

Hospitality Tech

Ability to leverage occupancy information through the property management system (PMS) and can optionally be expanded to deliver additional services. The report, based on 223 million digital sessions and a survey of 4,000 consumers, reveals that: 91% of consumers had at least one frustrating digital experience in the past year.