El endpoint Get Purpose devuelve una predicción de si un viaje es por negocios o por placer, junto con un puntaje de probabilidad que indica el nivel de confianza de la predicción.

Los campos clave en los datos de respuesta incluyen "id" (identificador único del viaje), "probabilidad" (puntuación de confianza), "resultado" (propósito del viaje predicho) y "subTipo" (tipo de predicción).

Los datos de respuesta están estructurados en un formato JSON, que contiene un objeto "data" con detalles de la predicción y un objeto "meta" con información adicional como la fecha de búsqueda y enlaces.

El punto final acepta parámetros como originLocationCode, destinationLocationCode, departureDate, returnDate y searchDate para personalizar la solicitud de predicción.

Las predicciones se basan en datos históricos de reservas de viajes analizados por algoritmos de IA, que identifican patrones y tendencias a partir de grandes cantidades de datos de viajes.

Los casos de uso típicos incluyen marketing dirigido, segmentación de clientes, gestión de ingresos, detección de fraudes y evaluación de riesgos basada en predicciones del propósito del viaje.

Los usuarios pueden aprovechar los datos devueltos para adaptar estrategias de marketing, mejorar las experiencias de los clientes, optimizar precios y mejorar las ofertas de servicios basándose en los propósitos de viaje predichos.

La precisión de los datos se mantiene a través de la capacitación continua de algoritmos de inteligencia artificial con datos de viaje actualizados, junto con controles de calidad para garantizar predicciones confiables.

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