A series of Q&As with selected speakers ahead of their appearance at Travolution Connects, the new event from Eventiz by Travelsoft
Gemma Timmons is Director of Operations and Chief of Staff for OAG. She is responsible for execution across OAG's most complex technology and commercial programmes, including go-to-market, AI adoption, and more.
Your panel discussion at Travolution Connects will cover the theory and practice of what we’re calling “the new travel tech stack”. What is your bigger-picture view on this?
For the best part of the last decade, the old travel tech stack underpinned the familiar travel lifecycle of ‘inspire, search, book, experience’. Each phase was sequential and fragmented, and so too was the tech stack underneath it. However, this cycle is condensing, and with it we’re seeing this stack collapse and rebuild at the same time.
Take the search and booking funnel as an example: this has shifted many times in the last few decades, from having a search box on desktop, to mobile web then apps, to chat and now agentic search. By introducing booking flows earlier than the linked-to sites, this has shifted where value to the traveller is captured and created, and simplifying the workflow for the traveller – as well as increasing the pressure on the industry infrastructure underpinning it. This offers an opportunity and a catalyst for the travel tech stack to shift. Decisions that used to happen on the screen travellers looked at are beginning to happen inside the system doing the work for them.
What is increasingly important are the foundations for this new travel tech stack, that workflows rely on: infrastructure that holds up under exponential look-to-book ratios, and trusted data.
All this has changed what a tech stack even is. A tech stack is no longer ‘just’ a series of applications, or systems of record; rather, it is becoming an intelligence layer against which decisions can be made.
So where does OAG sit in this new tech stack?
For nearly a century, OAG has been supporting millions of daily decisions shaping how the world travels with our data, technology and expertise. For most of that time, our job was to be the system of record for data, and to deliver this data accurately. However, the questions our partners face are more complex, more urgent, and more consequential than ever before – and raw data alone can't answer them. What's needed is intelligence — the ability to see patterns, anticipate shifts, and turn complexity into clarity.
In the new tech stack, our trusted, deep and neutral data continues to be the foundational layer. We are now building the suite of intelligence products that advances well beyond it, combining base fare, ancillary pricing, schedule context, and operational signals in a single, trusted, queryable layer.
Does your legacy give you a competitive advantage, or are there startups, scaleups or potential new market entrants using AI tools to source and replicate what OAG can offer?
The things that define our company also reinforce one another – there is the data itself, the neutrality baked into the data, but there’s also long-lasting relationships built on trust.
We’re a 97-year-old company with decades of comprehensive, accurate and timely schedule capacity, pricing and status data across the global aviation system. Hundreds of airline schedules, over a billion status updates a year, over four trillion historical airfares, over 97% of worldwide flight coverage. This data quality, quantity and access is not something that can be easily and accurately replicated at scale.
One of the many reasons why we are excited about the future is that our neutrality supports the trust placed in us by airlines. Airlines share data with us because they trust the model we operate under, and they get market intelligence in return that they could otherwise not see. The relationships and the trust that come from nearly a century in business is arguably the hardest thing for anyone new to manufacture.
Building out a standard and structure for airline data is effectively creating a rising tide, because we provide a robust and solid data foundation which lifts the capabilities of the new tech stacks can be built.
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