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Category
Enterprise AI
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Stack
Industrial Intelligence
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Timeline
6 Months
// problem
A leading premium travel retailer faced high drop-off rates and compromised brand loyalty due to generic booking interfaces and static itineraries. Relying on rigid forms and delayed email quotes stripped the personalized care out of travel planning, while fragmented off-platform group communication caused delays in finalizing bookings. Once trips were booked, traditional platforms abandoned the traveler, offering no real-time value during sudden weather disruptions or local navigation needs. These bottlenecks threatened booking conversions, resulting in lost upselling opportunities and cart abandonment before checkout.
// How we fixed it
We built TabiAI, an enterprise-grade conversational architecture designed to serve as a high-end digital concierge. The platform replaces rigid static forms with an autonomous slot-filling engine that instantly extracts mandatory booking variables through natural dialogue. To bridge collaborative blind spots, the system features a real-time multiplayer synchronization hub, allowing multiple users to co-edit and interact with the AI simultaneously via a secure cloud link. The solution also acts as an in-trip predictive concierge, proactively pushing weather-aware rerouting alerts and local navigation assistance without requiring users to leave the platform ecosystem.
// How we made it happen
Our team mapped the existing booking workflows and extracted premium brand guidelines to construct precise system prompts that dictate the AI's tone and upselling logic. We developed a highly scalable cloud-native ecosystem consisting of a centralized structured AI engine, an interactive spatial canvas, and a real-time collaborative hub. The interactive spatial interface was integrated with the Google Maps API to deliver dynamic imagery, smooth animations, and street view capabilities directly within the itinerary cards. The platform was deployed with strict formatting rules and robust state resolution algorithms to guarantee frontend UI stability and prevent data overwriting during simultaneous multi-user editing.
+40%
Higher Booking Engagement
2X
Faster Itinerary Planning
-30%
Less Group Planning Friction
