Technology

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.

I believe there will be a large shift over a long period of time. However there's a visual aspect of information that doesn't exist in a query type conversational level. Visual and sound create the emotional reaction. So generative on an "answer my question" level I think yes, but not on an inpirational level.

I agree that we're witnessing the rise of a new, AI-driven interface to the internet, which will expand but not entirely replace today's web interface. GAI chatbots are the first step, worrying Google about the future of its profitable search engine.

In a word, no. Conversational interfaces have their place, but they would add friction to airline, hotel, and restaurant searches. Amazon some years back tried to promote and monetise voice search via its Alexa devices, but no one was interested.

Any hotel group which values the direct channel (brand.com) already knows that data science has been at the core of digital marketing in hospitality for many years. It's fundamental to customer segmentation, targeting and results measurement.

The data fragmentation in hospitality is a huge challenge the industry faces today. Guest and operational data lives in multiple "data islands" that do not talk to each other: PMS, CRS, WBE, CRM, ORM, CMS, DMS, Social Media and BI.

Data science is an area of expertise that needs specialists, similar to other areas like design and creativity. Typically, most companies have outsourced these non-core functions; in the case of creativity, to ad agencies, for example.

Behaviors of guests & sorting of all offerings (room, packages, meals, drinks, activities) based on previous behaviors. Much of this if done on a per person can be done using general purpose AI along with a just in time promp injection model.

The best data that a PMS stores is its guest history - travel purchase, rooms stayed in, ancillary purchases, number of occupants, special requests and so on. While we can discover some patterns to help grow the business, a machine can sift through this multitude far more efficiently to find patterns and do so in an unbiased manner.

PMS data is only one source of first-party data, and it's actually quite limited because it focuses only on past guests. A richer set of data is built when combining PMS with CRM data and direct website behavior data. Once powered by that dataset, some key practical applications are: Benchmarking: create automated competitive sets for each hotel and find opportunities for improvement.

The words 'permanent reality' are hardhitting and oftentimes hard for hotel decision makers to absorb. While there are a host of technologies that can be added to the stack to help chip away at the labor problem, what I pose instead is to go one level deeper and look at the human stack.

According to a Perkbox survey, Hospitality is the fifth most stressful industry to work in, with 64% of employees suffering from workplace anxiety. Therefore, it is not surprising that a significant number of hospitality workers are reconsidering their employment situation and evaluating different career options.

Today's HIGH-TOUCH LOW-TECH business model in hospitality results in increasingly inadequate service and customer dissatisfaction. Currently, the poorly paid and trained employees, overwhelmed by labor shortages and mundane, repetitive tasks simply cannot provide better service.

When thinking about decentralization in travel, I think it's very important to realize that these are not changes happening on top of the existing infrastructure and applications stack, but they are happening below. The precise region is the layer between the Internet and the applications.If we want to use a metaphor, we are not waiting for the meteorite to fall on earth.

When discussing the integration of Web3 in travel and across various industries, the primary question is not 'if' but 'when.' Consequently, the debate about balancing technological innovation with preserving genuine travel experiences and cultural interactions may be somewhat overstated.

The travel industry stands on the cusp of a technological revolution. Integrating blockchain, NFT, and decentralized systems promises to redefine travel's essence. Decentralization has immense potential, reshaping loyalty programs and introducing room tokenization, revolutionizing the way we perceive ownership and access within the industry.