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Could AI Agents Turn the Time Between Trips Into a Revenue Channel?

A Skift Research survey of nearly 7,000 travelers reveals an increasingly fragmented path to purchase—discovery now spans search, social media, and AI tools (60%+ of AI-aware travelers already use it for planning)—while bookings stay concentrated on fewer trusted channels. The article, produced with Sierra, argues that "long-running" AI agents that retain context over days or months can transform disconnected touchpoints into a continuous, persistent customer relationship. For airlines, key applications include proactive disruption recovery and rebooking, monetizing the underused between-trip window, and personalizing offers between booking and departure to lift conversion, ancillary attach…

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Impact and considerations

AI agents that retain context and act on signals can turn idle periods between trips into revenue opportunities, boosting loyalty, direct bookings, and ancillary sales. This has strategic implications for airlines, hotels, OTAs, and cruise lines as they seek to monetize the full customer journey.

Key points

  • A Skift Research survey of nearly 7,000 travelers shows discovery is fragmented across search, social, and AI tools, with over 60% of AI-aware travelers using AI for planning, while bookings remain concentrated on fewer channels.
  • Long-running AI agents that retain memory and context can turn one-off interactions into persistent relationships, with applications in proactive disruption recovery, between-trip re-engagement, and personalized pre-departure offers that lift conversion and ancillary revenue.
  • Success requires a shared cross-functional view of customer context; leaders should start with high-volume, lower-risk use cases and scale, an imperative extending to hotels, OTAs, and cruise lines.

Sources and time

Primary source
Skift
Other sources
0
First source publication
4 Sept 2026, 20:30
Page published
4 Sept 2026, 21:02
Last updated
4 Sept 2026, 20:30
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