notitur.com September 19, 2026
Artificial Intelligence1 min read

Spotnana targets servicing costs cut in half

JSBy Joan SanzCurated by Joan Sanz. · September 19, 2026 · Follow on LinkedIn
Voice reading · ~1 min

The whole industry stares at search and booking. According to Skift, Spotnana CEO Steve Singh heads to Skift Global Forum with a different thesis: the real business sits in what happens once the customer has paid. His platform uses AI to handle cancellations and refunds, and Singh argues servicing costs can fall by as much as 50%. That number matters in a sector running on thin margins.

Think about what that means on a live account. Cancellations, date changes, refunds, last-minute issues: manual, repetitive, expensive work, often split across teams that don't talk to each other. That is where AI can deliver a clear return, far more than in promising the perfect trip.

My read: whoever treats servicing as a cost centre and automates it with discipline keeps margin that today leaks away managing the hangover of every booking. The awkward question is how many agencies and OTAs can afford to keep doing it by hand.

Quick questions

What exactly is Spotnana proposing post-booking?
Applying AI to cancellations and refunds, the part of the trip that happens after the customer has paid. Its CEO argues that is where the margin nobody works actually sits.
How much can AI save on travel servicing?
According to Spotnana CEO Steve Singh, servicing costs can be cut by up to 50%. That is the figure he will bring to Skift Global Forum to back his thesis.
Where is this Spotnana idea being presented?
At Skift Global Forum, where Skift previewed Steve Singh's post-booking approach. The outlet ran it in its forum preview.
Why focus after the booking instead of on search?
Because search and booking are already heavily worked and compressed. Handling cancellations, changes and refunds is still manual and costly, and that is where AI can deliver measurable return.
Does this only work for big players?
The logic applies to any business with booking and refund volume. The more manual the process is today, the more margin there is to recover by automating that phase.

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