Machine learning travel management system with wearable device integration

• US 10,317,230 B2
• Filed: 05/23/2017
• Issued: 06/11/2019
• Est. Priority Date: 05/31/2016
• Status: Active Grant

• Current Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Original Assignee: Accenture Global Solutions Limited (Accenture PLC)
• Inventors: Rangan, Trilok, Nagaraj, Chaitra, Chaudhary, Rahul
• Primary Examiner(s): Troost, Aaron L
• Application Number:
  US15/603,077
• Publication Number:
  US 20170343368A1
• Time in Patent Office: 749 Days
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G06Q 10/025 Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G06Q 50/14 Travel agencies
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/024 Guidance services
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/21 for social networking applications
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers. Additionally, the system may interact with active bands, which comprise wearable RFID devices. The wearable RFID devices may provide for identification and location determination to provide location-based services. Also, the system may include a mobile application that provides mapping of travel routes and waypoints, which can interact with location information determined based on the active bands.

Claims

1. A machine learning travel management system comprising:

at least one processor;

at least one non-transitory computer readable medium storing machine readable instructions executed by the at least one processor to;

capture data including social media data, demographics, and user preferences of users related to traveling;

create a user profile of a user from the captured data;

determine data patterns in the captured data;

identify tags in the social media data and determine weights for the social media data based on the tags;

receive travel-related user input via a voice bat, wherein the voice bot executes natural language processing on the travel-related user input to determine a travel-related query;

determine a set of travel destinations based on the query, the user profile and the data patterns in the captured data;

determine an ordered visual representation of the set of travel destinations based on the weighted social media data for presenting the set of travel destinations to the user via a graphical user interface;

receive a selection of a travel destination from the set of travel destinations;

determine and present a travel solution based on the travel destination and the user preferences;

wherein the travel solution includes a travel itinerary and travel arrangements that conform to the travel itinerary;

determine whether the travel solution is accepted;

in response to determining the travel solution is not accepted, generate a new travel solution based on additional user input received via the voice bat;

in response to determining the travel solution is accepted,

execute a call for at least one application program interface to connect to at least one booking service to book the travel solution according to the travel itinerary and the travel arrangements in the travel solution; and

provide an option for the user to obtain an active band, wherein the active band comprises a radio-frequency identification (RFID) wearable device;

in response to the user selecting the option to obtain the active band, link the travel solution to the active band;

determine waypoints based on the travel itinerary and the travel arrangements;

determine a travel route based on the waypoints;

transmit the travel route and the waypoints to a mobile application of a user, wherein the mobile application generates a map on a display of a mobile device executing the mobile application, and the map displays the travel route and the waypoints on the travel route;

receive an indication the user is at one of the waypoints, wherein the indication is generated in response to an RFID reader reading the active band at the one of the waypoints;

determine a new waypoint that is not currently on the travel route and that is predicted to be of interest to the user based on the user preferences of the user, the captured data; and

the indication that the user is at one of the waypoints;

generate a new travel route including a new set of waypoints comprising the new waypoint and at least one of the waypoints; and

transmit the new travel route and the new set of waypoints to the mobile application, wherein the mobile application displays the new travel route and the new set of waypoints on the map.

2. The system of claim 1, wherein the at least one processor is to:

in response to receiving the indication the user is at the one of the waypoints, provide a location-based service via the mobile application to the user based on a location of the one of the waypoints.

3. The system of claim 2, wherein the location-based service comprises:

a notification of micro-locations estimated to be of interest to the user that are within a GPS location of the one of the waypoints.

4. The system of claim 3, wherein the notification includes offers to incentivize the user to go to the micro-locations.

5. The system of claim 3, wherein the at least one processor is to:

receive an indication the user is at one of the micro-locations, wherein the indication the user is at one of the micro-locations is generated in response to an RFID reader at the one of the micro-locations reading the active band;

determine a second new set of waypoints including the micro-locations; and

transmit a second new travel route including the second new set of waypoints to the mobile application for display to the user via the mobile application.

6. The system of claim 3, wherein the at least one processor is to:

determine a micro-location sub-map including the micro-locations in the new second set of waypoints; and

transmit the micro-location sub-map to the mobile application, wherein the mobile application displays the micro-locations in the micro-location sub-map and a travel route to the micro-locations in the micro-location sub-map.

7. The system of claim 1, wherein to link the active band, the at least one processor stores a unique identifier of the active band with information for the travel solution, and to receive an indication the user is at one of the waypoints, the at least one processor receives an indication that the unique identifier of an RFID tag of the RFID wearable device was read at the one of the waypoints.

8. The system of claim 1, wherein to create the user profile, the at least one processor is to:

determine likes and interests of the user from the social media data,

wherein the mobile application displays the likes and interests of the user, receives modifications to the likes and interests, and sends the modifications to the at least one processor; and

create the user profile with the modified likes and interests.

9. The system of claim 1, wherein the ordered visual representation of the set of travel destinations are displayed in the mobile application, and the mobile application receives a selection of one of the displayed travel destinations for the travel solution.

10. The system of claim 1, wherein the at least one processor is to determine the data patterns according to at least one of clustering and regression modeling of the captured data.

11. A method comprising:

collating, by at least one server, travel-related data for a plurality of users;

determining, by the at least one server, a travel destination for a user of the plurality of users, wherein the determining of the travel destination comprises;

determining a set of travel destinations based on user preferences and data patterns determined from the collated travel-related data;

presenting the set of travel destinations in a graphical user interface of a mobile application; and

receiving a user selection via the graphical user interface, of one of the travel destinations in the set;

determining and presenting a travel solution for the selected travel destination, wherein the travel solution includes a travel itinerary and travel arrangements that conform to the travel itinerary;

automatically booking, by the at least one server, the travel solution;

determining, by the at least one server, waypoints estimated to be of interest to the user at the travel destination of the travel solution; and

dynamically modifying the waypoints and a travel route for the waypoints based on the user preferences, the collated travel-related data, and an indication that the user is at one of the waypoints, wherein the travel route including the dynamically modifying the waypoints are displayed on map in the graphical user interface of the mobile application.

12. The method of claim 11, comprising:

in response to receiving the indication the user is at the one of the waypoints, providing a location-based service via the mobile application to the user based on a location of one of the waypoints.

13. The method of claim 12, wherein the location-based service comprises:

a notification of micro-locations estimated to be of interest to the user that are within a GPS location of the one of the waypoints.

14. The method of claim 13, wherein the notification includes offers to incentivize the user to go to the micro-locations.

15. The method of claim 11, comprising:

creating a user profile of the user, wherein creating the user profile comprises;

determining likes and interests of the user from social media data,

wherein the mobile application displays the likes and interests of the user, receives modifications to the likes and interests, and sends the modifications to the at least one server; and

creating the user profile with the modified likes and interests, wherein the user profile is used to determine the set of travel destinations.

16. A travel solution system comprising:

at least one server including at least one processor; and

a mobile application executed by a mobile device in communication with the at least one server via a network,

wherein the at least one server is to;

capture data including social media data, demographics, and user preferences of users related to traveling;

create a user profile of a user from the captured data;

determine data patterns in the captured data;

identify tags in the social media data and determine weights for the social media data based on the tags;

determine a set of travel destinations based on at least one of the user profile, the tags, and the data patterns in the captured data;

display in the mobile application the set of travel destinations, wherein an order of displaying the set of destinations is determined from the weighted social media data;

receive a selection of a travel destination from the set of travel destinations from the mobile application;

determine and present a travel solution based on the travel destination and the user preferences, wherein the travel solution includes a travel itinerary and travel arrangements that conform to the travel itinerary;

determine whether the travel solution is accepted;

in response to determining the travel solution is not accepted, generate a new travel solution based on additional user input received via the mobile application;

in response to determining the travel solution is accepted,

execute a call for at least one application program interface to connect to at least one booking service to book the travel solution according to the travel itinerary and the travel arrangements in the travel solution; and

provide an option for the user to obtain an active band, wherein the active band comprises an RFID wearable device; and

in response to the user selecting the option to obtain the active band, link the travel solution to the active band.

17. The travel solution system of claim 16, wherein the at least one server is to:

determine waypoints estimated to be of interest to the user at the travel destination of the travel solution; and

dynamically modify the waypoints and a travel route for the waypoints based on the user preferences and data patterns determined from the captured data.

18. The travel solution system of claim 17, wherein the waypoints are dynamically modified in response to detecting the user at one of the waypoints.

19. The travel solution system of claim 18, wherein the dynamically modified waypoints comprise micro-locations within a GPS location of the one of the waypoints.

20. The travel solution system of claim 18, wherein the at least one server is to detect the user at one of the waypoints based on receiving an indication that the active band of the user was detected at the one of the waypoints by an RFID reader.