Anomaly Detection in Search and Booking Data
This white paper explores what real-time anomaly detection
is and how it can be applied by travel organisations, such as bed banks and hoteliers to make their distribution
operations more efficient.
Our AI-powered Anomaly Detection is designed to help identify deviation from normal patterns of behavior which can be difficult for normal rules based approaches. Able to handle large volumes of transaction, it can be set to alert for anomalies such as errors or failures, and can help identify missed opportunities.
Anomaly detection forms an essential component of
real-time analytics, which can help B2B online travel
organisations gain significant actionable insights
across their distribution channels. However, detecting anomalies accurately can be difficult.
As electronic distribution practices evolve, inventory situations fluctuate and buying behaviours change, the anomaly detection capabilities need to be continuously updated to remain effective.
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