Spotnana unveiled an AI-powered solution that handles essential after-sales processes, including refunds and cancellations, and asserts that this technology can lower servicing expenses by more than 50% while significantly enhancing the traveler’s journey. Steve Singh, who serves as Executive Chairman and CEO, maintains that true customer trust and profitability in the travel sector are determined after booking—during the servicing phase rather than the initial transaction.
Highlighting the transformative potential of AI, Spotnana claims it can slash post-booking service costs by 50%, indicating a new landscape for both customer loyalty and profit within the industry. In advance of speaking at the Skift Global Forum scheduled for New York City from September 22–24, 2026, CEO Steve Singh emphasized that although search and booking innovation dominate headlines, the more significant edge is gained by streamlining the often-overlooked after-sales support travelers need post-booking.
AI Puts the Spotlight on Servicing Instead of Booking
Singh observes that while the travel industry has historically prioritized discovery and booking, ongoing trip management services—such as handling cancellations, unticketed reservations, and issuing refunds—offer the greatest opportunity for reduced costs and heightened customer satisfaction. Feedback from Spotnana’s clients and industry partners points to notable labor cost decreases thanks to automation and AI enhancing these backend support functions.
“Our technology is able to cut servicing expenditure by 50% or more and concurrently deliver a far superior, more tailored, and proactive traveler experience,” Singh stated. Where human intervention was previously required for many support activities, AI now processes the bulk of routine inquiries, making it possible for customer service representatives to concentrate on complex, nuanced situations that require a personal touch.
Setting the Bar on Personalization and Reliability
With Spotnana’s AI regularly processing cancellations, managing unticketed bookings, and issuing refunds, staff are now able to concentrate on high-impact customer needs. This shift means human agents can focus energy on cases demanding empathy or sophisticated decision-making, rather than repetitive tasks—which Singh notes has led to both operational savings and improved interaction quality.
Singh places a strong emphasis on retaining customer confidence throughout every stage of the travel process. As traveler expectations escalate, he insists it’s essential that any post-booking changes are consistently updated across all systems. This priority has driven Spotnana to build direct integrations with airlines, hotel brands, and other industry players, delivering synchronized updates irrespective of where modifications originate.
Spotnana is also targeting a “95% curation bar”—its AI platform aims to recommend the best options for travelers at least 95% of the time, even as journeys become more fragmented and reliant on AI-guided conversational platforms. Singh elaborates, “Our aim is to surface the choices a traveler would choose themselves at least 95% of the time, as if they were reviewing every possible option.”
Industry Looks Ahead: AI’s Wider Impact
The company’s approach brings up unresolved questions, such as whether these innovative service improvements and the 50% reduction in costs can be replicated outside of managed-travel systems and what the broader implications for staffing will be. As AI increasingly oversees routine support, it remains to be seen whether organizations will repurpose employees for specialized roles or opt for staff reductions.
Singh points out that AI-powered search and recommendation engines responding to natural language now make it imperative for providers to supply clear, accurate, comprehensive product details. To ensure travelers are presented with only the most up-to-date and relevant options, he continues to advocate for direct system integrations with suppliers.
Ultimately, Singh believes that leadership in the travel industry will be determined by which companies provide the smoothest and most consistent support experiences, rather than those simply excelling at ticket sales. According to him, long-term customer loyalty will accrue to those who set the standard for exceptional servicing as technology shifts the landscape of traveler expectations and travel industry economics.
This September, during the Skift Global Forum in New York City from September 22–24, 2026, Steve Singh will share the stage with representatives from Sierra, Booking Holdings, Expedia Group, and others—where discussion will focus heavily on how AI is influencing the future of travel services.