Concrete Ideas for Trek Travel's Next Chapter
Ten proposals to consider. A starting point for conversation, not a finished plan.
The Premise
AI will reshape the economy. Nobody has a crystal ball for exactly how.
What we do know: wealth may redistribute, disposable income patterns may shift, spending habits will evolve, and what people consider valuable is already changing. The younger demographic Trek Travel wants to reach could see real impacts in their capacity for premium vacations. Even the core clientele's relationship with travel may evolve as priorities and alternatives shift across every segment.
A Note
Ideas for you and your team to consider.
My hope is that this page itself delivers value, whether or not I'm involved in any next steps. These are ideas for you and the Trek Travel team to consider and potentially implement.
As an external party, I have a limited view of how Trek Travel operates under the hood. Some of what follows may be presumptuous, and priorities would likely shift once the internal reality is clear.
That's the business challenge: how to anticipate and move proactively in a fast-changing reality. Trek Travel's greatest asset is the irreplaceable, human, embodied experience it already delivers. But staying valuable requires staying ahead, not standing still.
The question is how to stay ahead of a shifting landscape while protecting what makes Trek Travel irreplaceable.
Strategic Proposals
Ten ideas, each with a way to test it first
Each includes risks, rewards, and a concrete test before committing.
Where to Begin
Start small. Build from there.
These are things I can do, or a dedicated person on your team who thinks AI-first and is a power user today.
Minimal access needed
Probably can be done mostly from public data. Each delivers a concrete output.
Medium access needed
Introductions to a few team members and read access to existing systems.
AI Discoverability AuditMarket reach
Run agentic AI tools across ChatGPT, Gemini, Perplexity, Manus, and Claude for hundreds of travel query variations. Deliverable: a report showing where Trek Travel appears, where it doesn't, which competitors show up instead, and specific content gaps to close.
Operations Workflow MapEfficiency
Four to five conversations with team leads across operations, sales, and guides. Pair with AI analysis of whatever internal data exists. Deliverable: a diagnostic showing where time and money are being lost, and where things already work well.
AI-Ready Pricing ScanRevenue
Using publicly available trip pricing, departure dates, and fill rate signals (waitlists, sold out tags, last-minute availability), AI models demand patterns and identifies where pricing may be leaving money on the table. Not a full pricing strategy, but a data-driven starting point.
One Department AI PilotCapacity
Pick one department. Deploy AI to monitor workflows for a week, map the time-spent matrix, surface the most repetitive tasks. Automate those tasks and measure time saved over 30 days. Deliverable: before/after data on hours reclaimed.
Booking Barrier MapConversion
Using public reviews, social engagement, and website structure, AI maps where potential guests engage but don't convert and clusters the likely reasons. Deliverable: a prioritized barrier map by audience segment.
Guest Profile Briefing PrototypeGuest experience
Using booking data and pre-trip questionnaires from one upcoming departure, build AI-generated Guest Profile Briefings for the guides. Survey guides and guests post-trip. Deliverable: a working prototype and measurable impact on satisfaction.
Medium access needed
Introductions to a few team members and read access to existing systems.
Operations Workflow MapEfficiency
Four to five conversations with team leads across operations, sales, and guides. Pair with AI analysis of whatever internal data exists. Deliverable: a diagnostic showing where time and money are being lost, and where things already work well.
One Department AI PilotCapacity
Pick one department. Deploy AI to monitor workflows for a week, map the time-spent matrix, surface the most repetitive tasks. Automate those tasks and measure time saved over 30 days. Deliverable: before/after data on hours reclaimed.
Guest Profile Briefing PrototypeGuest experience
Using booking data and pre-trip questionnaires from one upcoming departure, build AI-generated Guest Profile Briefings for the guides. Survey guides and guests post-trip. Deliverable: a working prototype and measurable impact on satisfaction.
These ideas are yours. Use what's useful. If any of them warrant an external party who might be better positioned to support this than running it internally, I'm happy to jump in and help execute.
Charlotte