Trip Context
Reads the full itinerary destination, dates, cabin class, hotel type and travel purpose. Only surfaces add-ons that make sense for this specific trip.
The right upsell, to the right traveler, at the right moment, recommended automatically. More revenue per booking.








You earn on the flight and the hotel. The upgrades, activities, transfers
and add-ons? That revenue goes to someone else.
of ancillary opportunities is untouched
of ancillary opportunities is untouched
average decision window on add-ons
data points in most upsell modules
The trip. The traveler. The live inventory. And your margin rules. Here's how each one works.
Reads the full itinerary destination, dates, cabin class, hotel type and travel purpose. Only surfaces add-ons that make sense for this specific trip.
Family of 4, Bali, beach resort, 7 nights
Kids snorkeling tour. Travel insurance (family plan). No lounge passes. No solo adventure tours.
"Travelers who booked this also added..." contextual nudges based on historic patterns.
Channel: B2C site, agent desktop
Seat upgrades, travel insurance, lounge access. Highest-converting add-on window.
Channel: Booking platform, WhatsApp
Activities, tours, transfers, restaurant reservations. Trip-building while excitement is high.
Channel: Email, WhatsApp, app
Travel SIM, airport parking, early check-in, currency exchange. Promote high-converting add-ons.
Channel: WhatsApp, email, SMS
"You're near the Grand Bazaar? 2hr guided tour starts in 45 min." Real-time, location-aware.
Channel: WhatsApp, 360 Trip AI
"Loved Istanbul? Similar trip to Marrakech? same dates next year, 15% early bird."
Channel: Email, WhatsApp
AI Recommendations runs natively across TravelSwitch AI products or embeds directly into your own booking flow.
Business trips = flights + hotels, nothing else.
Minimal ancillary revenue.
Agent suggests 2-3 add-ons from memory.
No data on what converts for this traveler.
Tour operator commissions missed entirely.
Same carousel every page, every user.
1-2% click-through on recommendations.
No personalization, no timing intelligence.

AI Recommendations isn't rule-based sorting. It learns from real behavior across your platform and improves with every interaction.
AI collects behavior, context, history
Understands traveler type and preferences
Results sorted by relevance for this user and your business rules
Improves with every click and booking

Transforms raw supplier inputs into clean, conversion-ready listings across every channel.
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Adds seats, bags, insurance, and more directly in your flow with dynamic upsell logic.
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Automates repetitive booking and support workflows with context-aware actions.
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