System and method for automatically optimizing and implementing a travel itinerary using a machine learning model

A system comprising a server for automatically optimizing a travel itinerary and automatically implementing the travel itinerary, using a machine learning model, comprising:

• a first processor;
• a memory configured to store data comprising:
• a data obtaining module implemented by the first processor configured to obtain a first set of data;
• a database generating module implemented by the first processor configured to generate a first database from the first set of data;
• a travel option determination module implemented by the first processor configured to determine one or more travel options that are specific to a planned travel by analyzing the first set of data, wherein the machine learning model is generated by a second processor configured to:
• generate a second database with a first set of data associated with travellers,
• generate a third database with a travel itinerary of the travellers,
• process an expert input on the travel itinerary of the travellers, and
• provide (i) the first set of data associated with the travellers, (ii) the travel itinerary of the travellers, and (iii) the expert input on the travel itinerary of the travellers, to a machine learning algorithm as training data;
• an itinerary plan request obtaining module implemented by the first processor configured to obtain an itinerary plan request from a user;
• a travel itinerary generation module implemented by the first processor configured to generate a travel itinerary for the itinerary plan request for the user by analyzing the one or more travel options;
• and
• an automatic travel arrangement module implemented by the first processor configured to implement the travel itinerary by making arrangements for at least one of aircraft, hotel or ground transportation based on the one or more travel options.