Key Takeaways

• AI enables more automation and personalisation in hospitality.
• Using weather data for anticipatory service enhances guest experiences.
• Automation can improve customer satisfaction from check-in to departure.

Topics

• AI & Machine Learning
• Automation
• Hospitality Innovation

Transcript

So it's pretty clear to me that with the benefit of AI, we're gonna be doing a lot more automation and personalization as it becomes more simple for us to create content and integrate with third-party sources. If we're thinking about this from a hospitality point of view, we could integrate with something as simple as the weather. So if we know it's gonna be a rainy day, let's push activities that happen indoors. If we know it's gonna be beautiful weather, how about you book your sun lounger ahead of the crowds and already get some cool drinks waiting for you as you arrive? We can anticipate in the same way that we would recommend to a friend or a family member based on what we know is about to happen. Hotel and hospitality people are more than experts with their environment, with the weather conditions, with likely busy periods of traffic and transport. And even if there's something coming up like a one-off event in a local town, which might kind of either be very good or be blocking people from getting around, you can anticipate this really easily and then use automations and triggers to push the content which is most relevant and most useful. It's all about trying to make a really strong experience for the customer from the very moment they walk in to during their stay, to how they think about you at the end, and then ultimately when they leave you a good review.