There
has been significant hype over the years around the need to personalize travel
offerings. In fact, NDC is often thought of as the underlying technology
necessary to personalize air choices.
This personalization through NDC has typically taken the form of bundles that
combine price with ancillaries (e.g., premium seat, early boarding, free
Wi-Fi). Today, most airlines admit that they are unable to personalize offers
to individuals, but instead create like-minded groups for their offers.
The evolution towards personalized pricing would require some underlying
changes to the way personal profiles are created, stored and interact with the booking
process. Much of this may develop with the realization of self-sovereign identity,
which allows consumers to control their own profiles across multiple suppliers
and retailers, enabling specific access to information to get better offerings.
For example, a traveler who has high status with Airline A could opt to share
that status information from their SSI profile with Airline B to get a better
offer.
Impact on the lowest logical fare
Did you get a good deal? This is a common question posed by
friends and relatives around airline ticket purchases.
Whether traveling for business or leisure, wanting to get the lowest fare based
on your requirements is a key goal for many travelers; but what is the lowest
fare when prices and bundles are generated dynamically?
An analogy can be found in customized clothing: If a pair of
pants is created specifically for your measurements, but costs more than
off-the-shelf alternatives, paying more for this personalization may be
considered a reasonable extra expense.
Of course, airlines are unable to customize seat pitches and widths for
individual customers, but choosing a premium cabin may serve a similar purpose.
The opposite exists today with basic economy fares, where passengers
consciously choose a narrow seat, lower boarding priority and limits on luggage
to obtain the cheapest fare.
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In this sense, dynamic bundles and continuous pricing should help the industry
move toward more customized offers, while true personalization will require
greater insight into the customer’s personal preferences.
The use of artificial intelligence (AI) by the airlines will
likely further fuel the effort toward true personalization. With the vast
amount of data collected by the airlines on passenger behavior – particularly
loyalty members – AI in the form of machine learning will likely play a role in
driving more personalized offers based on past behavior and preferences.
The ripple effect
With the drum beat about personalization intensifying,
especially with advances in AI, continuous, dynamic and unique bundled pricing
seems well positioned to usher in a new era of customized travel. These
initiatives enable airlines to better differentiate their products and prices
to meet customer needs.
True personalized pricing will emerge only when preferences
are clearly articulated, something that may be facilitated with the adoption of
generative AI.
Given that the format of platforms like ChatGPT is conversational, it has the
potential to tease out preferences that might not be captured in a traditional
booking engine. Booking systems could use this information to assemble flight
attributes that best meet the traveler’s needs. On the back end of the equation
– at the airline pricing layer – AI also may facilitate better
personalization.
Soon the question, “Did you get the cheapest fare?” may be
replaced by, “Did you get the best value for your money?” These developments
should be monitored closely, as any effort to dynamically alter prices will likely
have ripple effects across all stakeholders in the industry.
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