Travel Itinerary System Using Payment Transaction Data
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Solution Overview
Problem
Consumers face challenges in selecting reliable travel destinations and product providers due to unreliable online information, with varying travel needs and preferences not adequately addressed by existing systems.
Innovation Solution
A computer-implemented method and system that suggests multi-destination travel itineraries based on payment transaction data from similar users, using pattern recognition to identify statistically significant travel patterns and preferences, while excluding long-term association locations and filtering for user-specific constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers rely on online information (hotel websites, social media reviews) to select travel destinations and product providers, then they have access to extensive information, but the reliability of the information is poor due to biased or fake reviews
Solution Approach 1:
The patent introduces an intermediary system (the travel recommendation system) that mediates between consumers and travel information. This system uses payment transaction data as an objective intermediary source to verify travel experiences, filtering out biased reviews while maintaining information availability. The system acts as a trusted mediator that cross-references multiple data sources to provide reliable recommendations.
2Loss of time
If consumers spend considerable time planning travel to unfamiliar destinations, then they can make informed decisions, but they risk ruining the travel experience due to poor choices of destination or product providers
Solution Approach 1:
The system performs preliminary analysis of payment transaction data before the consumer makes travel decisions. By pre-processing and analyzing objective travel data from similar consumers, the system prepares reliable destination and provider recommendations in advance, reducing both planning time and the risk of poor travel choices.
Solution Approach 2:
The system incorporates feedback from payment transaction data of other consumers who have actually visited destinations and stayed at hotels. This real-world behavioral feedback provides objective evidence of travel quality, allowing the system to recommend reliable destinations and providers while minimizing the risk of poor travel experiences.
3Adaptability or versatility
If the system uses payment transaction data from multiple card holders to generate travel recommendations, then the personalization accuracy improves, but the system complexity increases
Solution Approach 1:
The patent segments card holders into different groups based on their payment transaction patterns and travel behaviors. By dividing the large dataset into manageable segments with similar characteristics, the system can apply targeted analysis to each segment, improving personalization accuracy while keeping the computational complexity manageable through structured data organization.
Data Source
AI summary
A computer-implemented method and computer system are proposed which suggest a multi-destination travel itinerary to a user, who is typically a payment card holder. The itinerary is generated using information about earlier multi-destination journeys made by the user and other payment card holders, as identified based on payment transaction data relating to payment transactions made by the card holders. The other payment card holders may be ones having payment transaction characteristics similar to the user, and the suggested travel itinerary may be selected to have properties consistent with previous journeys the user has made.