Flight Ancillary Recommendations
Data-driven system that personalizes travel add-on recommendations based on customer profile, route details, and previous purchasing behavior.
Solution
This intelligent recommendation engine helps airlines boost ancillary revenue by delivering personalized product suggestions that match each traveler's specific journey context. The system analyzes multiple factors including loyalty tier status, flight duration, travel purpose, and destination type to recommend the most relevant add-ons like lounge access, priority boarding, or extra baggage.
For business travelers, it prioritizes productivity-enhancing services such as WiFi and fast-track security, especially for frequent flyers on medium to long routes. Leisure travelers receive suggestions focused on comfort and experience enhancement, while family groups see recommendations for practical needs like family seating and entertainment packages. The system also examines previous purchase history to avoid redundant recommendations, ensuring travelers only see relevant new offerings they haven't already bought.
How it works
The recommendation engine follows a structured evaluation process:
- Flight Classification: Categorizes flights as short, medium, or long based on duration in minutes.
- Customer Analysis: Evaluates loyalty status and examines previous purchase patterns to identify premium customers and product preferences.
- Base Recommendations: Generates initial suggestions by matching travel purpose (business, leisure, family) with flight duration and customer attributes.
- Contextual Enhancement: Adds specialized recommendations based on route characteristics (international, beach destinations) and airport facilities.
- Priority Assignment: Ranks all recommendations by relevance score to highlight the most valuable suggestions first.
- Recommendation Consolidation: Merges all suggestions into a unified, prioritized list for presentation to the customer.
Flight Dispatch Decision System
Rules-based aviation system that evaluates weather, aircraft, crew, and weight factors to ensure regulatory compliance and safe flight operations.
Dynamic Airline Ticket Pricing Engine
Automated fare optimization system that sets ticket prices based on time to departure, seat availability, market demand, and competitor pricing.
Booking Personalization System
Dynamic flight booking platform that tailors UI, discounts, and features based on customer loyalty status, device type, booking history, and traffic source.
Booking Fraud Detection
Advanced risk assessment that evaluates payment methods, booking patterns, and account behavior to prevent travel reservation fraud.
Airline Seat Map Display Rules
Dynamic seat map system that personalizes seat availability based on loyalty tier, fare class, group size and cabin occupancy levels.
Online Check-in Eligibility System
Automated passenger validation system that determines online check-in eligibility based on travel documents, flight timing, and special assistance requirements.
Flight Rebooking Fee Calculator
Dynamic fee system for airline booking modifications that adjusts charges based on fare class, time to departure, loyalty status, and change history.
Airline Upgrade Eligibility
Advanced passenger upgrade decision engine that evaluates loyalty status, fare class, corporate agreements, and cabin availability to prioritize upgrades.
Airline Loyalty Points Calculator
Advanced system for calculating airline loyalty program points based on fare class, route type, distance, member status, and seasonal promotions.