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AI-Based Travel Recommendation & Policy
Compliance Platform
Business Challenges
Lack of Intelligent Recommendations
No system for optimized travel suggestions
Fare Comparison Issues
Difficulty identifying best options
Fragmented Data Sources
Disconnected booking and historical data
Policy Compliance Gaps
Bookings outside policy
Inefficient Decision-Making
Users lacked actionable insights
Solution Implemented
API-Based Fare Integration
Integrated Standard & Alternate BFM APIs
Unified Data Model
Combined Sabre and historical datasets
AI Recommendation Engine
Used LLM for personalized suggestions
Visualization Platform
Built using Domo App Studio
Policy Compliance Module
Classified bookings as in/out-of-policy
Technology Stack
Domo (App Studio)
AppDB
Python
LLM
Sabre API
Business Impact
40–50% Improvement in booking efficiency
Enhanced decision-making
Reduced policy violations
Improved customer experience
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