Technology

The big OTAs like Expedia/Bing and Booking are already using gen AI tools to expand searches to trip itineraries, eg Bing's Copilot. It's still early days as the Bing tool clearly just does keyword searches and then uses OpenAI to write a (good) narrative based on the results.

While a ton can be said about the various ways that AI will affect travel, one specific behavioral adjustment we will see is the resurgence of voice-based interactions. After all, what's easier to do: talk or type? For most, we can speak a lot faster than we can plug information into a computer or phone.

I generally agree with this forecast, Simone. My long held view is that the more technology becomes 'conversational', to use the current en vogue term, or voice enabled, which has long been my bent, the more friendly and accessible technology becomes.

Robotic cleaning of lobby and corridor areas make sense, plus robotic grass cutting. Less relevant for room cleaning given the corners and obstacles, although Neom is exploring this. Car parking via flat bots that rise up and lift the car off its wheels also work well and can optimise space in limited car parks.

This year labor costs in hospitality consume 1/3 of hotel revenue (STR) and robotization and automation are becoming increasingly appealing to hotel owners and operators. Ex. Robots like Rosie by Tailos, thousands of which have already been deployed at various hotels, clean guest rooms 20 percent faster and public areas up to 80 percent faster than human housekeepers.

Of course! We've seen robots in progressive hotels and resorts for years. You're right that cleaning and innovative food delivery are the easier pickings. But we should discuss that bright red line that starts and ends with the front desk.

My take remains the same: there is no such thing as "total" revenue management. Revenue is revenue, period. When you buy a pair of Nikes at a sneaker shop, they come with shoelaces; shoelaces are not considered "ancillary" revenue.

The evolution of the Revenue Management discipline in our industry, since its inception 40 years ago, has been driven by large franchised organizations and management companies that care about RevPAR because that's how their business models are structured and that is how they are incentivized.

One of the big megatrends for hospitality is the increasing value of mixed-use branded properties where every revenue stream (rooms, ancillaries and stay-independent) acts to synergize each other. All the greatest hoteliers have tacitly appreciated this quality, especially in luxury, but they haven’t been able quantify the relationships between spending habits within different verticals because of the disconnected nature of software databases.

The question needs to be reworded to ask how Generative AI (Gen-AI) will transform the industry, as Predictive AI (P-AI) has been core to revenue management / pricing systems for decades. P-AI has also been fundamental to RPA - Robotic Process Automation - which links disparate systems that may not have APIs.

We will in a world of abundance: destinations, flight routes, accomodations, restaurants. This has created a paradox of choice wherein the discovery process of deciding where to go (for leisure), what hotel to book and where to dine is almost a chore in that it can take up a ton of time.

Let’s start with the second question. First, you need an AI strategy, and an AI strategy holds or falls apart with your data strategy. To use AI, you need to work with good, clean data. For example, suppose your systems are littered with duplicate profiles.