Tourexpi
Charlotte Lamp Davies from A
Bright Approach looked at the opportunities of AI in the tourism industry
and let three qualified experts have their say on the subject. Leila Summa from Play To
Change, which calls itself a “boutique for digital transformation“, kicked off
the discussion by examining the two phases of implementation and adaptation.
Companies often failed to successfully apply AI, and were unable to quantify
results such as conversion rates or better turnaround times for services, she
said.
AI
is a must, not an add-on
Asked
what key steps should be taken to implement AI, she said there was no magic
formula. It was important however to understand that its success often depended
more on corporate culture than technology. So it was all the more important to
communicate a clear strategy, and in addition to the economic upside for the
company to show the benefits of innovation for individuals.
As
was once the case for social media, a certain amount of pressure could be built
up by noting that the competition already used AI, she said. A certain
narrative was also needed to thoroughly convince the company’s executives. AI
would not just be an add-on for them, so there had to be a debate. That
required a strategy, said Summa, in order to explain its complexity, followed
by a narrative with convincing ideas in order to emphasise why AI was not an
option, but a must.
Leila
Summa (CEO Play To Change), Markus Stumpe (CEO Cruisewatch) and Christian Watts
(CEO Magpie Travel) (from left to right) talk about the use of AI in tourism in
the latest podcast episode. © ITB Berlin
Where
does the industry stand?
Afterwards,
Charlotte Lamp Davies talked to Markus Stumpe, CEO of Cruisewatch,
which specialises in AI tools for the cruise industry. Asked how the travel
industry was adapting to AI, he gave a positive verdict. It was already
being used to good effect in customer service and for making personalised
recommendations, he said. However, the industry was not necessarily a
trailblazer here. 75 per cent of companies were not yet using AI or were only
just starting to do so. Asked about the benefits, Markus Stumpe quoted a
Harvard survey, according to which workers using AI produced measurably better
results than others, both in terms of quality and speed.
In
general, his advice to smaller companies was to specify their goals before
implementing AI and to select manageable tasks. Expanding an existing project
was often wiser than automating from the bottom up and often produced better
results, he added.
Another
question companies had to ask themselves was whether to develop the
applications they needed in-house or to buy existing products. His advice was
clearly to purchase existing products in order to gain as much knowledge as
possible from the latest developments. It was also important to always involve
in-house teams and bring them on board during trials for example. Individual
cases required testing, he said.
Small
steps and swift decisions for successfully implementing AI
Asked
by Charlotte Lamp Davies about the typical challenges, he said companies
frequently overestimated the quality of their data, which was not necessarily
of use to AI. It was important to take small steps and not overdo things, he
said. In general, smaller organisations were frequently better equipped to
implement AI tools than larger ones, as their hierarchies often permitted
quicker decision-making for example.
Not
least, Stumpe advised not to hold out for a magic AI tool that offered the
perfect solution. AI’s potential was frequently overrated. However, putting off
the decision for a few years was not an option. The time to get started was
definitely now, he said.
Specific
uses for Tours & Activities
Rounding
off the podcast, Christian Watts, CEO of Magpie
Travel, offered an insight into the Tours & Activities market.
He
stressed that this market was traditionally slow to take new developments on
board, but that it could easily make use of AI without expert knowledge or
large numbers of tech specialists.
Asked
about specific uses, he said AI was being used in this field for simple tasks
such as product descriptions, optimising conversions and simple templates
for ratings and emails. Thus, anyone could set it up quite quickly. While it
was not a revolution, it noticeably improved work efficiency, he said.
Overall,
it was up to every market player to closely follow developments. Those who
avoided new tools risked their competitors pushing them out of the market.
Concluding,
Charlotte Lamp Davies asked how Google and other search machines were changing
with the use of AI.
According
to Christian Watts, searches were indeed being carried out differently than in
the past. It was therefore essential for tour & activity organisers to
list as much information about their company as possible on their
websites – including exact opening times for example. Nowadays both
customers and new technologies were searching content to learn from the
available data.
Asked
if there was a final takeaway, Watts said that a market full of so many AI
innovations could be overwhelming and confusing. So it was all the more
important to focus on tools such as Gemini or ChatGPT and openly communicate
with the system and an assistant about all kinds of things – including one’s
own corporate strategy. In the end, AI never passed judgment and, unlike
humans, it was oblivious to “stupid questions“.
Click
here to listen to the podcast in full length:
Image Credit: © ITB Berlin
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