Skift Global Forum Preview: What Happens After the Booking? Spotnana CEO Has a Number

For decades, the travel industry has treated the post-booking experience as a cost center to be managed rather than a value proposition to be optimized. This neglect has resulted in a fragmented ecosystem where a traveler who experiences a disruption often finds themselves trapped in a labyrinth of call centers, manual processing delays, and disconnected data silos. Singh believes that the integration of advanced Artificial Intelligence (AI) into the core architecture of travel platforms is not just an incremental improvement but a fundamental rebuilding of the industry’s economic engine. By automating the "unglamorous" work that follows a booking, Singh asserts that servicing costs can be slashed by 50% or more, while simultaneously elevating the traveler’s experience from a source of frustration to a pillar of brand loyalty.

The Servicing Gap: Why the Post-Booking Experience Matters

To understand why Singh is so focused on servicing, one must look at the traditional economics of a Travel Management Company (TMC). Historically, a significant portion of a TMC’s operating budget is tied up in human labor—specifically, travel agents who spend their days navigating legacy Global Distribution Systems (GDS) to perform routine tasks. When a flight is canceled or a traveler needs to change a hotel reservation, the process often requires a human to manually untangle the booking, calculate refund eligibility, and re-issue tickets across multiple platforms.

This manual intervention is the "half nobody talks about." It is expensive, prone to error, and inherently unscalable. Singh points out that while the industry has poured billions into making the search and booking process faster, the servicing side has remained remarkably stagnant. "We talk endlessly about search, distribution, and booking," Singh notes. "What really matters is what happens after the trip is purchased."

Spotnana’s approach is to treat servicing as a first-class citizen in the technology stack. By building a cloud-native platform that utilizes direct connections to suppliers—bypassing some of the restrictive layers of legacy distribution—Spotnana allows AI to "see" the same data that a human agent would. This transparency enables AI agents to handle cancelled segments, unticketed flights, and automated refunds without human intervention. The result is a shift from reactive, human-led support to proactive, AI-driven resolution.

The 50% Efficiency Play: Reimagining the Economics of Travel

The claim that servicing costs can fall by half is a bold one, but it is grounded in the reality of how AI is evolving. In a traditional setup, a routine cancellation might take an agent 15 to 20 minutes to process. Multiply that by thousands of travelers, and the labor costs become astronomical. When an AI agent performs that same task in seconds, the marginal cost of servicing drops toward zero.

However, Singh’s vision isn’t just about cost-cutting; it’s about a more profound reallocation of human talent. By offloading routine, repetitive tasks to AI, human travel agents are freed to focus on "high-value" services. These are the moments where a personal touch, empathy, and creative problem-solving are indispensable—such as helping a stranded traveler during a massive weather event or coordinating complex, multi-city group itineraries.

This evolution mirrors shifts seen in other sectors, such as fintech, where routine banking transactions have moved to mobile apps, leaving branch staff to handle complex financial planning and mortgage advisory. In the travel context, this means the "agent of the future" looks less like a data entry clerk and more like a luxury concierge or a strategic consultant.

Direct Connections and the Death of Data Silos

A critical component of Spotnana’s strategy is the move toward direct integrations with airlines, hotel chains, and other service providers. For years, the travel industry has been hampered by "fragmented content." A change made on an airline’s website might not show up on a corporate booking tool for hours, if at all. This lack of synchronization is a primary driver of servicing friction.

"As technology evolves, travelers have higher expectations that they should be able to ask anyone for assistance throughout their journey," Singh explains. To meet this expectation, Spotnana has prioritized building a platform where a change made anywhere is reflected everywhere. This synchronization is achieved through modern APIs and New Distribution Capability (NDC) standards, which allow for a two-way flow of data between the supplier and the booking platform.

This architectural choice is essential for AI to function effectively. An AI agent is only as good as the data it can access. By ensuring that the platform has a real-time, "single source of truth" for every booking, Spotnana enables its AI to make accurate decisions about refunds and re-bookings. Without this direct pipeline, AI would be guessing based on stale data, leading to the very errors that erode traveler trust.

Conversational AI and the Art of Curation

As the industry moves toward conversational AI interfaces—where travelers book trips through a chat-like dialogue rather than clicking through filters—the role of curation becomes paramount. In a traditional search result, a traveler might see 50 hotel options. In a conversational interface, the AI might only suggest three.

This shift places a massive responsibility on the platform to "get it right." Singh acknowledges that trust is the currency of this new era. "Our strategy is to solve for the traveler," he says. "We want to ensure we present the travel options a traveler would have selected at least 95% of the time if they had reviewed the full list of available options."

To achieve this 95% accuracy rate, AI must go beyond simple price and location metrics. It must understand nuance. A traveler might use natural language to request a "hotel on a high floor with an ocean view and early check-in." Traditional booking engines, constrained by rigid database fields, often struggle with these "long-tail" requests. Conversational AI, however, can parse these specific needs and match them against rich product information provided by suppliers through direct integrations.

This places the onus back on travel providers (airlines and hotels) to provide better, more granular data. If a hotel wants to be recommended by an AI for its "ocean view," that information must be accessible and verifiable in the metadata. The era of the "commodity ticket" is ending; the era of the "richly-described experience" is beginning.

Trust: The Ultimate Metric

Ultimately, Singh’s focus on servicing is a focus on trust. In the travel world, trust is rarely built when things are going well. A seamless booking experience is expected; it is the baseline. Trust is earned in the "moments of truth"—when a flight is missed, a bag is lost, or a hotel room isn’t ready.

By automating the "after-purchase" work, Spotnana aims to ensure that these moments of truth are handled with machine-like precision and human-like speed. If a traveler receives a notification that their flight has been cancelled and their refund is already being processed—before they even have to ask—that traveler is likely to become a customer for life.

"Anyone can sell a ticket," Singh asserts. "The hard part is delivering service, and service is where trust is earned or lost."

The Road to the Skift Global Forum

As Singh prepares to join other industry titans like Glenn Fogel of Booking Holdings and Ariane Gorin of Expedia Group at the Skift Global Forum, his message is clear: the next frontier of travel innovation isn’t in how we find trips, but in how we support them. The "Spotnana Number"—that 50% reduction in servicing costs—is a challenge to the entire industry to stop looking at the booking as the end of the journey and start seeing it as the beginning of the relationship.

In a world where AI is rapidly commoditizing the search function, the winners will be the companies that can provide the most seamless, proactive, and cost-effective support. For Steve Singh, the future of travel isn’t just about getting people from point A to point B; it’s about ensuring that everything that happens in between is as frictionless as the click that started it all. The industry’s gaze is finally shifting, and it’s looking directly at the "half nobody talks about."