169 Quotes About Traveltech
- Author Simone Puorto
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Thanks to increasingly accessible technologies and infrastructures, even the smallest bed and breakfast can choose whether and what to automate
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- Author Simone Puorto
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Hotels are resilient to MA adoption, because of the initial economic investment needed
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- Author Simone Puorto
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Past traumatic experiences with software implementation make hotels look at the nw software implementation process with fear, overestimating the probability of something going horribly wrong (loss of data, staff retraining, etc.) rather than looking with excitement at the improvements the new technology will bring
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- Author Simone Puorto
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If MA gives the ability to replace virtually all the processes where a human being is not strictly necessary, in fact, no real automation will be reachable until hoteliers decide to hand over some tasks from human beings to machines
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- Author Simone Puorto
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It is crucial to realize that traditional, human customer service and automation complement each other, rather than compete against each other
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- Author Simone Puorto
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Over the years, I’ve heard dozens of hotels afraid to lose their “human touch,” but it’s worth remembering that, according to a recent Gallup poll, more than 20 million United States employees (humans, of course) have a negative attitude toward work, and are responsible for an annual loss in productivity of $300 billion.
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- Author Simone Puorto
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Business travelers aside, travelers book a hotel on average two to three times a year, and usually in different locations
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- Author Simone Puorto
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Even hoteliers willing to innovate are often bound by multiyear contracts with archaic, legacy systems. On the bright side, as new players get bigger and gain market share, on-premise software will be forced to adapt
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- Author Simone Puorto
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Without standard, shared languages, open APIs and predefined protocols for cross-software integration, no effective automation will ever be possible in hospitality, especially with legacy software, where integrations remain expensive, slow and complex processes
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