Dynamic Fare Verification Method Based on Safety Factor Evaluation
The correctness of airfare data will directly affect air ticket sales.Due to the extensive use of rule driven dynamic fares,which do not limit specific amounts,it is difficult for price setters to intuitively verify the correctness of ticket prices.This article proposes a fare verification method based on safety factor evaluation,which uses machine learning to generate a safety factor evaluation system for rule-based dynamic fares and performs real-time database detection.The detected dynamic fares will be released to the ticket sales process normally,and any fare that is detected as unsafe will be intercepted and reported for manual intervention.Based on the results of each test combined with manual feedback,continuous self-learning and iterative improvement are carried out to ensure correct fares for ticket sales and reduce the risk of incorrect sales.
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