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From demand visibility to virtual interlining: Where OTAs get stuck

From demand visibility to virtual interlining: Where OTAs get stuck

Every carrier wants AI. Very few are ready for it.

Demand isn’t invisible in online travel.

Every day, OTAs process millions of searches that reveal exactly where travellers want to go, when they want to travel, and how they plan their trips. Over time, this builds clear demand patterns, including unfulfilled demand:

  • Routes that are searched often but rarely booked
  • Searches that consistently lead to abandonment
  • Destinations with strong interest but weak conversion

This search data isn’t always noise. It often represents real but unfulfilled intent that hasn’t been converted. Not because the interest isn’t legitimate, but because the supply shown is often not something platforms can confidently or responsibly sell.

The challenge isn’t visibility. It’s monetization and responsibility.

The long-tail: Where demand is clear but monetization isn’t

A large share of OTA search volume sits outside the obvious, high-density routes.

These are not fringe journeys. They are perfectly valid trips:

  • Travellers from secondary cities
  • Cross-region journeys beyond airline networks
  • Combinations that don’t benefit from alliances or tight schedules

Individually small, collectively significant; this is the long tail.

Demand here is visible and consistent. But monetizing it is structurally difficult.

Responsibility – not visibility – another constraint

If demand exists, why doesn’t supply? Because knowing demand exists is not the same as serving it responsibly.

Long-tail fulfilment raises difficult questions:

  • Who owns the journey end-to-end?
  • What happens during missed connections?
  • Who is responsible when a disruption strikes?
  • What is the impact on customer trust?

These concerns directly affect the customer experience, support costs, and reputational risk.

Virtual interlining: Back in focus

Against this backdrop, virtual interlining is drawing renewed interest. On the surface, it’s compelling. It expands inventory without requiring new routes, aircraft, or airline agreements. But unlike traditional connections:

  • Responsibility is not always clear
  • Baggage is not always through-checked
  • Recovery options are not always guaranteed

This is precisely where the model overlaps with the long-tail challenge, and where risk begins to surface.

Common virtual interlining mistakes

  1. Treating virtual interlining like a standard connection
    Virtual interlining lacks the built-in protections and responsibilities of interline or codeshare. Missed connections and unclear ownership are structural, not exceptional.
  2. Underestimating disruption costs
    On thin routes, limited alternatives, overnight accommodation, and manual customer support can quickly escalate costs. A few failures can outweigh overall gains.
  3. Creating ambiguity
    Without clear definitions of coverage and responsibility, even isolated failures can feel like broken promises. Customer trust is built on consistency and clarity.
  4. Assuming success elsewhere can be copied
    What works for niche, self-transfer-focused platforms doesn’t translate directly to mass-market OTAs with broader trust and responsibility expectations.

Balancing long-tail monetization and risk management

Virtual interlining sits in a narrow space between opportunity and liability.

It can unlock long-tail demand, but only when applied selectively, with clear operational ownership and controlled exposure.

The challenge for OTAs is deciding with precision which demand to serve and which to leave unmet. Risk escalates when:

  • Responsibility across the journey is unclear
  • Disruption recovery isn’t fully planned
  • Protection costs are underestimated
  • Scaling outpaces operational readiness

The most effective virtual interlining strategies don’t start with scale. They start with control and key questions that consider growth as much as discipline, like:

  • Where should virtual interlining not be offered?
  • What happens when things go wrong?
  • What level of risk is acceptable?
  • Which demand should remain unserved?

The answers to these questions determine whether virtual interlining becomes a strategic capability or an operational burden.

Author Info

Aswathy Govind is a Senior Product Manager in the Industry Research and Solutions practice at Naviq. With two decades of IT experience across industries, she helps travel organizations identify the right changes to their business models, processes, and technology priorities, unlocking new revenue opportunities, improving efficiency, and enabling practical, phased transformation through AI, and automation. She holds Master's degrees in Computer Science and Business Administration.

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