Analytics and Generates AI Connections with Traveler Preferences

The great thing about destructive and dislocation is that they create space for entrepreneurs to do things. It’s hard to predict exactly what that thing will be, but you can predict that there will be a lot of activity and great creativity.

We were definitely that time.

Something happened during the trip and these factors will define the next stage of innovation, entrepreneurship and investment. The base level, and will continue to exist in trillions of dollars of addressable markets – traveling faster than global GDP growth, and there is no sign of such slackness. Yes, destinations will fall and lose, source markets will change, we can’t ignore climate impacts, but most importantly, travelers will continue to travel, and the huge interconnectedness of global relations will not be put back into the bottle.

I also see the historic resistance to technology adoption collapses, and that’s the change I’m most excited about. The pandemic has kept the industry flat, revealing a lack of agility in the technology stack of sellers, suppliers and intermediaries. Now, C-Suite understands the drawbacks of the technology stack required for no situation. They are more willing to listen to the tech voice (including startups) and take a more future-oriented, upcoming investment posture.

At the intersection of these two sets of sets (a large and growing interest in addressable markets with investment innovation) is the opportunity for entrepreneurs to rethink how things work and propose inventions, what we can’t imagine is the opportunity to mitigate the systems that have plagued the industry for decades.

I deliberately didn’t mention “generating AI” because we need to be clear about the market environment in which Genai is flying the flag. This situation involves more travelers and more technology. What Genai does is unlock the pace of experiments, tests and experiments to allow good ideas to penetrate, some of which will settle in a large enough landscape to support a billion-dollar business.

Buy a new traveler paradigm

I’ve talked about traditional tech debt in travel and how we need better data, because if AI sits on a bunch of horses, the sleekness of the AI ​​concept doesn’t matter, it will return some really bad suggestions. I’ve talked about the opportunities of B2B entrepreneurs To do this, do some stupid things, data cleaners and orchestrators, builders of cloud-based PMSS and CRS and middleware layers that support new data formats optimized for Genai integration and interoperability. I think that’s it Genai is a huge threat to traditional searchas travelers begin using other options other than traditional keyword searches at the top of the travel planning channel.

So, how does all this work in a B2B2C context? How far are we from Agent Genai compared to humans and online travel agencies? My opinion is that it will be earlier than we thought, but we need choice and shovel (infrastructure and data) to build a solid foundation first. Here are some examples of companies we are excited to work with Genai in transition to emerging fields:

• bona fideOne of Thayer’s latest investments is to use technology to work on a new infrastructure layer that enables brands to manage the exchange of information needed to drive business in the Genai ecosystem. It will allow brands to distribute accurate and verified content not only at the discovery stage, but also from a single source. Brands will own and control data and content, optimize their visibility in Genai application-powered LLMS and actively participate in purchasing decisions.
• Clothing laboratory It is one of our early B2B2C investments. It is investigating how to understand traveler preferences through proactive natural language interactions and licensed access from partners. This tells directly about another emerging use case where proxy AI can be better than traditional search travelers by using natural language or dialogue queries. When it comes to knowing that the traveler is a serious swimmer, he prefers luxury hotels in past travel history and requires upcoming business trips at hotels in Los Angeles, so it can apply this to the advice it comes back and suggests a hotel with a lap pool rather than a family-friendly splash pool.
• Tour It is another B2C business we have invested in recently. Cruise and Genai are not as disconnected as some people think. Offline to line transitions in cruise still have a certain way to go, and for high-priced purchases like Cruise, content plays a crucial role in purchasing decisions. We see Genai as the fundamental element in the digital transformation of the cruise sector. By ensuring LLM has an understanding of the rich cruising content on its website, CruiseBound is already becoming the preferred source of choice for proxy AI queries for cruise advice.

Adaptation to personalization

Personalization has become a term concept because there is no traditional search to understand the granularity and nuance of what a traveler wants and how it changes with context. Over the past six months, I’ve seen businesses start cracking code in my portfolio – the model is getting better and better as consumers are playing with them and telling them what they like and what they don’t like. This helps train the model to predict what the client wants in a given situation.

It’s not easy for start-ups and innovators playing in the B2C space, but it’s not impossible. Yes, incumbents have had thousands of engineers working on AI for a while, sitting in the data range, building vendor relationships, and they still restore a third of their net income to gain more travelers through traditional search and discovery channels. That flywheel will take a while to run out of itself, but will eventually start to change.

Meanwhile, good searches are being conducted and the best locations of the destruction and dislocation are in progress. The market is large enough for new niche and size players in B2C and B2B channels, so don’t be surprised to see some of them have a place in new and exciting ways. No one really knows where these changes are going to land, but now everyone should know that the data and infrastructure that these changes are going to happen first.