Smart Itinerary & Walkable Geo-Clustering Engine for Travel Agencies
Engineered an autonomous travel engine that selects optimal central lodging anchors, clusters daily excursions into walkable neighborhoods, and generates bookable itineraries with 1-click traveler approval.
The Problem. The Build.
Traditional travel apps offer fragmented search filters, forcing travelers through 20+ tabs and 6 hours of manual cross-referencing. Static recommendation engines fail when flights delay or museum hours change.
We architected a hierarchical 3-agent collective: (1) Preference Parsing Agent grounded on user chat and budget; (2) Transit & Logistics Supervisor running Dijkstra spatial optimization; (3) Dynamic Booking Agent interfacing with Amadeus GDS and local reservation APIs.
Production Outcomes
From 6.2 hours down to under 3 minutes per traveler
Direct excursion and dining reservation affiliate lift
Repeat trip planning within 90 days of initial launch
What We Built Into It
Central Hotel Base strategy — unpack once, anchor all daily excursions around one walkable hub
Spatial clustering algorithm preventing cross-city transit backtracking
Real-time Amadeus & Sabre API connectors for live room availability and pricing
Dynamic weather & opening hours fallback — auto-swaps outdoor activities if rain detected
Human-in-the-loop approval pipeline before credit card authorization
Technologies Used
Sub-380ms Inbound Lead Qualification & Calendar Booking Telephony Trunk
Your next release runs on our stack.
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