Systems and methods for multi-channel messaging and communication

1. A method for providing automated conversation across multiple communication channels associated with a user, the method comprising:

selecting a first communication channel from the multiple communication channels;

receiving, via the first communication channel, a first user input as part of a conversation with a chatbot, the chatbot including a communication data structure including a plurality of communication paths,

wherein each of the plurality of communication paths comprises a plurality of units, and

wherein at least one of the plurality of units is coded with instructions to navigate the conversation among different communication paths;

selecting a communication path based on the first user input, wherein selecting the communication path includes:

comparing the first user input with the plurality of units in the communication data structure to determine a match;

generating a first feedback in response to the first user input according to the selected communication path;

storing the first user input and the first feedback in the communication data structure, wherein each subsequent user input and feedback is stored in the communication data structure;

terminating the first communication channel;

receiving, via a second communication channel, a second channel user input as part of the conversation with the chatbot;

comparing the second channel user input with the plurality of units in the communication data structure to determine a match;

retrieving, via the communication data structure, the user inputs and feedbacks relating to the first communication channel;

generating a second feedback in response to the second channel user input according to the selected communication path;

storing the second channel user input and the second feedback in the communication data structure,

wherein each subsequent user input and feedback is stored in the communication data structure.

2. The method of claim 1 , wherein each communication channel is one of a user interface, communication type, or server.

3. The method of claim 1 , wherein the user input is one of text, voice, image, and/or video.

4. The method of claim 1 , wherein comparing the first user input or second channel user input with the plurality of units in the communication data structure to determine a match comprises translating the received user input into a format using one or more dictionaries in a communication database, and checking the translated received user input with the plurality of units in the communication data structure until a match is found.

5. The method of claim 1 , wherein the plurality of units includes any combination of feedback units, input units, wait units, communication identity analysis units, or universal units.

6. A system for providing automated conversation across multiple channels associated with a user, the system comprising:

one or more computer processors; and

a memory having stored therein machine executable instructions, that when executed by the one or more processors, cause the system to:

select a first communication channel from the multiple communication channels;

receive, via the first communication channel, a first user input as part of a conversation with a chatbot, the chatbot including a communication data structure including a plurality of communication paths,

wherein each of the plurality of communication paths comprises a plurality of units, and

wherein at least one of the plurality of units is coded with instructions to navigate the conversation among different communication paths;

select a communication path based on the first user input, wherein selecting the communication path includes:

compare the first user input with the plurality of units in the communication data structure to determine a match;

generate a first feedback in response to the first user input according to the selected communication path;

store the first user input and the first feedback in the communication data structure,

wherein each subsequent user input and feedback is stored in the communication data structure;

receive a termination of the first communication channel;

receive, via a second communication channel, a second channel user input as part of the conversation with the chatbot;

compare the second channel user input with the plurality of units in the communication data structure to determine a match;

retrieve, via the communication data structure, the user inputs and feedbacks relating to the first communication channel;

generate a second feedback in response to the second channel user input according to the selected communication path;

store the second channel user input and the second feedback in the communication data structure,

wherein each subsequent user input and feedback is stored in the communication data structure.

7. The system of claim 6 , wherein each communication channel is one of a user interface, communication type, or server.

8. The system of claim 6 , wherein the user input is one of text, voice, image, and/or video.

9. The system of claim 6 , wherein comparing the first user input or second channel user input with the plurality of units in the communication data structure to determine a match comprises translating the received user input into a format using one or more dictionaries in a communication database, and checking the translated received user input with the plurality of units in the communication data structure until a match is found.

10. The system of claim 6 , wherein the plurality of units includes any combination of feedback units, input units, wait units, communication identity analysis units, or universal units.

11. A non-transitory computer-readable storage medium having data stored therein representing software executable by a computer, the software having instructions to:

select a first communication channel from multiple communication channels;

receive, via the first communication channel, a first user input as part of a conversation with a chatbot, the chatbot including a communication data structure including a plurality of communication paths,

wherein each of the plurality of communication paths comprises a plurality of units, and

wherein at least one of the plurality of units is coded with instructions to navigate the conversation among different communication paths;

select a communication path based on the first user input, wherein selecting the communication path includes:

compare the first user input with the plurality of units in the communication data structure to determine a match;

generate a first feedback in response to the first user input according to the selected communication path;

store the first user input and the first feedback in the communication data structure,

wherein each subsequent user input and feedback is stored in the communication data structure;

receive a termination of the first communication channel;

receive, via a second communication channel, a second channel user input as part of the conversation with the chatbot;

compare the second channel user input with the plurality of units in the communication data structure to determine a match;

retrieve, via the communication data structure, the user inputs and feedbacks relating to the first communication channel;

generate a second feedback in response to the second channel user input according to the selected communication path;

store the second channel user input and the second feedback in the communication data structure,

wherein each subsequent user input and feedback is stored in the communication data structure.

12. The non-transitory computer-readable storage medium of claim 11 , wherein each communication channel is one of a user interface, communication type, or server.

13. The non-transitory computer-readable storage medium of claim 11 , wherein the user input is one of text, voice, image, and/or video.

14. The non-transitory computer-readable storage medium of claim 11 , wherein comparing the first user input or second channel user input with the plurality of units in the communication data structure to determine a match comprises translating the received user input into a format using one or more dictionaries in a communication database, and checking the translated received user input with the plurality of units in the communication data structure until a match is found.

15. The non-transitory computer-readable storage medium of claim 11 , wherein the plurality of units includes any combination of feedback units, input units, wait units, communication identity analysis units, or universal units.