Thrillophilia Honored for AI in Travel at ET Entrepreneur Awards

India based experiences platform Thrillophilia has been named winner in the “AI in Travel” category at the ET Entrepreneur Awards 2026, a recognition that underscores how artificial intelligence is moving from back office experimentation to the core of multi day tour design, pricing, and delivery.

Image by Latest International / Global Travel News, Breaking World Travel News

Award Spotlights Growing Role of AI in Indian Travel Tech

The Economic Times Entrepreneur Awards, run by the business media group behind ET Edge events and industry reports, have become a prominent platform for showcasing high growth Indian companies using technology in sectors from finance to hospitality. The introduction of a dedicated “AI in Travel” category for the 2026 edition reflects how rapidly artificial intelligence has moved up the agenda for tour operators and online agencies focused on outbound and domestic tourism.

Thrillophilia’s win places the company among a cohort of Indian firms using predictive models, recommendation engines, and automated workflows to manage complex trip planning. Publicly available coverage of the awards indicates that judges weighed both the maturity of AI deployment and its measurable impact on business outcomes, including customer experience, operating efficiency, and scalability of new products.

For India’s travel startup ecosystem, the recognition also comes at a time when industry events and research reports consistently highlight AI as a defining theme. Trade shows dedicated to travel technology, market outlook surveys, and innovation awards across Europe and Asia are pointing to similar patterns, where data led platforms increasingly shape how itineraries are created, optimized, and sold.

The “AI in Travel” category therefore serves not only as a trophy for Thrillophilia but as a signal that algorithm driven decision making is now viewed as a competitive necessity for multi day tour providers, rather than a peripheral experiment.

How Thrillophilia Applies AI to Multi Day Tour Design

Thrillophilia began as an adventure activities marketplace before expanding into curated multi day tours that cover destinations across India and a growing roster of international routes. Over the past few years, the company has invested in tools that use machine learning and rules based automation to refine key parts of the tour creation process, from route planning to supplier selection.

According to earlier interviews and features in business publications, the company’s teams rely on AI assisted systems to analyze historic booking data, seasonality patterns, and traveler behavior signals to identify which combinations of destinations, activities, and accommodations perform best for specific traveler segments. The same systems help forecast demand for particular departure dates, allowing product managers to calibrate group sizes and inventory commitments more precisely.

These capabilities are particularly relevant for multi day tours, which involve fixed costs across transport, stays, and local experiences. Small changes in occupancy, lead time, or on trip satisfaction scores can have an outsized impact on profitability. By automating the evaluation of thousands of itinerary variations, Thrillophilia’s AI tools can surface packages that balance cost, experience quality, and operational feasibility more effectively than manual spreadsheet led planning.

On the customer facing side, the platform incorporates recommendation logic that suggests itineraries based on browsing behavior, stated preferences, and budget thresholds. This reduces the friction of discovery for travelers who might otherwise be overwhelmed by the sheer number of available packages, especially in popular regions that offer dozens of permutations of similar routes.

Personalization, Pricing, and Operations Gain from Automation

Industry analyses of AI in travel consistently point to three areas where automation delivers tangible benefits: personalization, dynamic pricing, and operations. Thrillophilia’s recognition in the awards comes as the company positions itself in all three domains for its multi day tours.

On personalization, AI enriched profiles allow itineraries to be tuned to whether travelers prioritize outdoor activities, cultural immersion, or relaxed pacing. Families may be steered toward child friendly experiences and shorter daily transfers, while solo travelers with higher adventure tolerance are matched to trekking days or late night city explorations. In practical terms, this can manifest as default suggestions for optional add ons, variations in sightseeing order, or micro adjustments to hotel categories.

Dynamic pricing is another area where AI systems can ingest real time signals such as search volumes, competitor availability snapshots, and airline fare trends to adjust package prices and promotional discounts. For a company dealing in multi city tours that often bundle flights, this capability helps keep offerings competitive while preserving margins during peak demand periods or when supplier rates change with short notice.

Behind the scenes, automation supports routing decisions, allocation of local guides, and contingency planning. Publicly available information on large tour operators shows growing interest in using predictive analytics to spot potential disruptions such as weather related access issues or recurring bottlenecks at popular attractions. A similar toolkit for Thrillophilia’s operations could enable earlier re routing or time shifting of activities, improving on trip experience without raising costs substantially.

Recognition Comes Amid Mixed Customer Sentiment

The award arrives at a time when Thrillophilia’s digital footprint reveals a varied picture of customer experiences. Alongside positive testimonials about seamless bookings and well executed itineraries, online discussion threads and social media posts include criticism from travelers who report challenges around refunds, hotel category changes, or communication gaps during complex international trips.

This mixed sentiment provides important context for understanding the implications of the “AI in Travel” win. Technology centric recognition highlights the sophistication of Thrillophilia’s tools and processes, yet long term competitiveness in multi day tours also depends on how effectively these systems translate into consistent service delivery, transparent policies, and swift resolution when trips do not go as planned.

From a travel industry perspective, the case illustrates a broader trend in which AI capabilities and customer trust must evolve together. Platforms that rely heavily on automation need to ensure that their algorithmic decisions, such as hotel reassignments or price changes, are accompanied by clear communication and human escalation paths. Awards focused on innovation bring attention to these questions even as they celebrate technical progress.

For travelers and partners, the recognition may prompt closer scrutiny of how AI driven decisions are embedded in the booking journey. It may also encourage other operators to examine whether they can match both the technological ambition and the expectations for reliability that accompany high profile accolades.

Signals for the Future of Multi Day Tours

Thrillophilia’s “AI in Travel” award aligns with a wider shift in the multi day tour sector, where data intensive platforms are reshaping how itineraries are conceived and distributed. Global research on travel startups notes that an increasing share of new entrants are AI native, building products that assume constant experimentation with trip components, supplier mix, and routes instead of static catalogues updated only once or twice a year.

For traditional tour operators, this introduces pressure to modernize legacy systems that may not easily support rapid reconfiguration of packages or granular profitability analysis at the level of each departure. For online marketplaces, it reinforces the need to differentiate on more than price by offering smarter discovery, transparent inclusions, and flexible rebooking options informed by predictive insights.

Within this landscape, Thrillophilia’s recognition at the ET Entrepreneur Awards 2026 positions the company among those attempting to define best practice for AI enabled multi day tours originating from India. How effectively it converts technical capabilities into consistent traveler satisfaction, and how it responds to public feedback while scaling, will likely influence whether awards focused on innovation translate into durable brand equity in the years ahead.