Tourism in its entirety has increased rapidly in recent years, and accordingly the applications of artificial intelligence in the travel industry have multiplied. Because the world itself has become a mobile place and the significant tourist destinations are forever becoming impersonal and commodified, it is increasingly difficult for the tourism industry to create products that are unique, exclusive, and hence, sellable. The following challenges should be addressed considerably if the AI in the travel and tourism industry has to be used to its fullest potential. In any kind of travel arrangements, situations could arise where two or even more choices could have the potential to intersect each other in place. At such a sensitive stage, instead of cancelling either of the overlaps in travel choices, the system must have the capability to come up with original recommendations that engender such overlap free choices in terms of both time and space.

This research addresses the novelty of ‘fully autonomous agentic agents’ that could resort to, or be able to work cooperatively with, both individual and collective agents not designed or developed previously in order to retrieve any information needed or to perform any task requested from anywhere in any previously specified time on behalf of their owner. Booked travel time band and the profile information of the booked agent need to be sourced, retained and updated. The profile of the agent determines the capabilities to be executed. The algorithm is designed in such a way as to ensure that hectic travel hours are avoided and no one agent of the group exceeds its maximum numbered allowable travel quota. Travel time needed for each travel task is estimated, the two time band options of Group Reasoning Module crammed for each agent are generated, scheduled and reserved. Live cultures and societies are to be preserved and protected for the comings and goings of the tourism industry. Thorough engineering-level studies need to be conducted to completely frame the technologies with no wear and tear, and remain unreproducible by competing companies