Shell PNR Integration for Multi-GDS Travel Booking
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Solution Overview
Problem
The complexity of Passenger Name Records (PNRs) in travel reservations, with varying formats and field structures across different Global Distribution Systems (GDS), hinders efficient information exchange and processing, particularly in business travel scenarios where comprehensive data is required for optimal booking and cost management.
Innovation Solution
A computer-implemented method for integrating multiple electronic travel records by loading corporate and traveler profiles, emulating a shell PNR, and processing bookings based on customer-defined rules and priorities, which can include price, value proposition, and carrier policies, to optimize flight bookings across multiple GDS systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If PNRs use varying formats across different GDS systems, then system compatibility and adaptability are improved, but data processing complexity and information exchange efficiency deteriorate
Solution Approach 1:
The patent introduces a standardized intermediate data format as a mediator between different GDS systems. This intermediate format translates varied PNR formats from different GDS into a uniform structure, enabling consistent processing while maintaining compatibility with diverse source systems.
Solution Approach 2:
The patent segments the PNR data into standardized fields and categories, separating the data into manageable components that can be uniformly processed. This segmentation allows each data element to be handled consistently regardless of its original GDS format.
2Loss of information
If PNRs contain comprehensive information fields, then information completeness is improved, but processing time and system response speed deteriorate
Solution Approach 1:
The patent implements partial action by selectively processing only the necessary PNR fields required for specific operations. Instead of processing all comprehensive information uniformly, the system identifies and processes only the essential fields needed for the current task, reducing processing time while maintaining required information completeness.
Solution Approach 2:
The patent applies local quality by tailoring the processing approach to different data fields based on their specific requirements. Different fields are processed with appropriate methods suited to their nature, optimizing both completeness and processing efficiency for each data element.
3Reliability
If travel booking systems enforce strict customer rules and policies, then booking accuracy and compliance are improved, but system flexibility and adaptability to exceptions deteriorate
Solution Approach 1:
The patent implements dynamics by making the rule enforcement mechanism adaptable. The system can dynamically adjust rule application based on contextual factors, allowing strict compliance for standard cases while providing flexibility for exceptions when justified by specific circumstances.
Solution Approach 2:
The patent uses parameter changes to modulate rule enforcement. By adjusting parameters such as priority levels, weightings, and condition thresholds, the system can maintain strict compliance for typical scenarios while adapting to exceptional situations through parameter modification rather than rigid fixed rules.
Data Source
AI summary
Multiple record management functionality can be used for bulk PNR creation. The multiple record management functionality can take a structured input file containing travel requests and process the requests, such as by a set of client-specific rules, to create shell PNRs with the air segments and profile information included. The multiple record management functionality can also provide a reporting capability to detail the outcome of individual requests or a set of requests. Preference-driven bookings can be made based on a customer-defined overall value proposition. Bookings can be made for non-profiled travelers.