Abstract: Systems and methods for using an artificial intelligence-based technique for automatic generation of travel and dining reviews are provided. The method includes: receiving a request for a review of an entity that provides a service to a user; applying a first artificial intelligence (AI) algorithm to the received request in order to generate the review of the entity; and outputting the review of the entity. The entity provides either or both of a travel-related service and a dining-related service, and as such, the entity may include a restaurant or a hotel. The AI algorithm may use a large language model and/or may be trained such that the review has a style and a tone of a Zagat review.

Abstract: A method for performing differential routing based on message content. The method includes receiving, from a user device, a message inquiry; identifying and extracting one or more keywords from the message inquiry; determining, for each of the one or more keywords, a corresponding tag type; predicting a conversation length based on the determined tag type for each of the one or more keywords; determining whether the message inquiry is amenable to being serviced by an automated service; and routing the message inquiry based on the determining whether the message inquiry is amenable to being serviced by the automated service.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, from a user interface, input travel data; providing the input travel data to a machine learning engine as input to the machine learning engine; receiving, as output from the machine learning engine, predictions of travel services, where the predictions of travel services are based on the input travel data; formatting a digital itinerary including the predictions of travel services as line-item recommendations for the user on the digital itinerary; and presenting the digital itinerary to the user via the interface.

Abstract: Systems and methods for using an artificial intelligence-based technique for automatic generation of travel and dining reviews are provided. The method includes: receiving a request for a review of an entity that provides a service to a user; applying a first artificial intelligence (AI) algorithm to the received request in order to generate the review of the entity; and outputting the review of the entity. The entity provides either or both of a travel-related service and a dining-related service, and as such, the entity may include a restaurant or a hotel. The AI algorithm may use a large language model and/or may be trained such that the review has a style and a tone of a Zagat review.

Abstract: A method for performing differential routing based on message content. The method includes receiving, from a user device, a message inquiry; identifying and extracting one or more keywords from the message inquiry; determining, for each of the one or more keywords, a corresponding tag type; predicting a conversation length based on the determined tag type for each of the one or more keywords; determining whether the message inquiry is amenable to being serviced by an automated service; and routing the message inquiry based on the determining whether the message inquiry is amenable to being serviced by the automated service.