Travel & Technology Consulting. Made in London.
I help travel & hospitality companies accelerate product development, design AI workflows that actually ship, and unlock partnership-led growth channels.
25+ years experience in travel technology
Why it matters
I have. After leading product and technology across Expedia Group, HRS and Sabre, I know where modern travel platforms break — and how to fix them before you spend your budget on the wrong bets.
Whether you’re integrating a new GDS, building an AI recommendation engine, or structuring a distribution partnership, you need someone who has done it at scale.
What I do
01
From business case to shipped feature. I design end-to-end AI workflows that integrate with your existing booking flows, loyalty systems and supplier APIs — without the hallucination risk.
02
GDS, NDC, hotel-direct, payment rails. I map your current stack, identify the gaps and produce a vendor-neutral integration roadmap your engineering team can act on immediately.
03
I identify and structure partnership channels — co-distribution deals, white-label arrangements, affiliate programmes — that add revenue without adding headcount.
04
I assess architecture, data quality, API hygiene and engineering maturity of travel technology companies against sector benchmarks.
05
A thought partner for CPOs, CTOs and founders making high-stakes technology decisions in travel. Monthly retainer. Candid, experienced, fast.
06
I step in as a senior interim product or technology leader for travel companies during periods of transition.
07
Building Equity Stories based on known patterns of success. In-depth analysis of MOAT, USPs and business vectors as part of an end-to-end consulting service.
Why operator-led
Most technology consultants come from strategy or software. I come from running product and engineering inside travel companies. That means I’ve held vendor negotiations, shipped OTA checkout flows under revenue pressure and rebuilt loyalty APIs with a live production system behind me.
Selected thinking
The travel industry does not need more AI hype. It needs a clearer view of what is actually changing, what comes next, and where travel companies should place their bets now.
In this post, I break AI adoption in travel into five practical stages — from knowledge layer to AI-native operating model — and explain where value is created, where risks emerge, and why leadership matters more than ever.
As AI continues to evolve, the landscape of job roles is shifting dramatically. Hence I thought of exploring some ideas won where we are heading next and I came up with a list of ten exciting future AI roles that might become crucial in the coming years.
In the past decade, travel tech providers have emerged with “all-in-one” SaaS solutions, but most only cover about 80% of clients’ needs, leaving room for bespoke work. Many of these companies, founded by former GDS or travel supply professionals, capitalized on the growing demand for affordable, scalable solutions.
However, the pandemic disrupted the market, leading to fierce competition and significant cash-flow challenges. By mid-2025, Juniper and Travelsoft are set to dominate the travel tech landscape, each using strategic acquisitions and expansion to build a powerful “Mega SaaS” presence – find out more about the backgrounds and what that means here.
I have had the honor to be asked by the editorial staff from Phoucswire to write an opinion piece on how a massive IT outage in the travel industry could possibly prevented.
In my opinion piece on Phocuswire I gave a quick overview of possible measures…
As we transition from the initial excitement around AI/ML into a consolidation phase over the next six months, the focus for E-commerce and Travel & Hospitality companies will likely be focusing on optimizing data pipelines, augmenting live and historic data, and multiple specialized AIs for enhanced governance and outcomes.
This refining of AI use will be the next step for continued AI used without a lot of the current woes taking place – but also most importantly now helping with efforts to cost control the use of AI through optimized scenarios for processing-power application…
Machine learning has transitioned from human-guided algorithms to AI creating its own rules. As AI becomes increasingly integrated into our daily lives, it’s crucial to consider how its future will unfold. By drawing parallels to human evolution—specifically through the lens of warfare—I explore some intriguing similarities and potential paths for AI development.
Start a conversation
A first call costs nothing. Tell me where you are, where you need to be and I’ll tell you honestly whether I can help — and how quickly.
© 2026 Fritz Oberhummer · All rights reserved
