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Ask anyone in a hospitality service or sales organization if they train their employees, and they’ll often detail their extensive orientation and classroom training programs, claiming to prepare employees to perform at an elite level. Yet, countless service experiences—from trying to make a hotel reservation over the phone or as a walk-in in addition to trying to book a meeting—suggest otherwise. Training isn’t working, and this isn’t just a post-COVID phenomenon.
Hotels are changing fast, and AI (artificial intelligence) is leading the way. But hold on—this isn’t some sci-fi takeover. AI isn’t here to replace the magic of hospitality; it’s here to enhance it.
Every hotel can benefit from automated revenue management. Boutique or hostel, independent or chain, there are huge potential revenue uplifts that can’t be ignored.
Every hotelier schemes ways to boost their hotel profitability. From poring over data to scouring competitors and hoping the room rates are the “right” price to attract visitors, they can make daily adjustments that never quite “work.”
The primary goal of revenue management (RM) is to ensure that the property sells the right product to the right customer at the right time for the right price on the right channel.
Consider the last time you set out to plan your next holiday. Did you find it easy to make a quick decision on where to go, which airline and hotel to choose, which experiences to pick or restaurants to dine at? Chances are you didn’t. And you’re not alone.
At the dawn of the 7th edition of the Scholarship of Teaching and Learning (SoTL) conference at EHL Hospitality Business School, we take a moment to reflect on the motivations for participating in SoTL and the rich lessons we take away from each edition.
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