Systems, methods, and non-transitory computer-readable storage medium for obtaining product information via a conversational user interface

1. A computer-implemented method for obtaining a set of instructions on how to use a product, the method comprising:

receiving, by a communication channel, a communication from a user, the communication comprising a request for obtaining the set of instructions;

receiving, by a virtual agent, the communication from the communication channel, the virtual agent comprising a natural language processor;

deducing, by the natural language processor, an intent and one or more entities of the communication, the natural language processor having been trained on: one or more sets of sample phrases with each set of sample phrases associated with a respective intent, and a definition of each entity;

communicating, by a fulfillment API, the intent and the one or more entities to a knowledge engine;

preparing, by the knowledge engine, a query for the set of instructions;

gathering, by the knowledge engine, information about an action associated with the set of instructions;

assembling, by the knowledge engine, a sequence of steps to execute the action;

communicating, by the knowledge engine, the sequence of steps to the fulfillment API;

converting, by the fulfillment API, the sequence of steps into a response;

conveying, by the virtual agent, the response from the fulfilment API to the communication channel; and

communicating, by the communication channel, the response to the user;

wherein the communication channel depends on a service that is used in construction of the virtual agent.

2. The computer-implemented method of claim 1 , wherein:

the knowledge engine comprises a knowledge base that provides information about the product; and

the knowledge base comprises structured data, semi-structured data, unstructured data and communication with one or more external data sources.

3. The computer-implemented method of claim 1 , wherein the response comprises at least one of an image, a video, a text and a document.

4. The computer-implemented method of claim 1 , wherein the communication is at least one of, a text-based communication, a verbal communication and an image-based communication.

5. The method of claim 1 , further comprising:

upon receiving no follow-up response from the user to the response to the user, conveying, by the virtual agent, a question from the fulfillment API to the communication channel, the question comprising a request for confirmation that the sequence of steps has fulfilled the request for the set of instructions.

6. A system for obtaining a first set of instructions on how to use a product, the system comprising:

a processor; and

a memory storing a second set of instructions that, when executed by the processor, configure the system to:

receive, by a communication channel, a communication from a user, the communication comprising a request for obtaining the first set of instructions;

receive, by a virtual agent, the communication from the communication channel, the virtual agent comprising a natural language processor;

deduce, by the natural language processor, an intent and one or more entities of the communication, the natural language processor having been trained on: one or more sets of sample phrases with each set of sample phrases associated with a respective intent, and a definition of each entity;

communicate, by a fulfillment API, the intent and the one or more entities to a knowledge engine;

prepare, by the knowledge engine, a query for the first set of instructions;

gather, by the knowledge engine, information about an action associated with the first set of instructions;

assemble, by the knowledge engine, a sequence of steps to execute the action;

communicate, by the knowledge engine, the sequence of steps to the fulfillment API;

convert, by the fulfillment API, the sequence of steps into a response;

convey, by the virtual agent, the response from the fulfilment API to the communication channel; and

communicate, by the communication channel, the response to the user;

wherein the communication channel depends on a service that is used in construction of the virtual agent.

7. The system of claim 6 , wherein:

the knowledge engine comprises a knowledge base that provides information about the product; and

the knowledge base comprises structured data, semi-structured data, unstructured data and communication with one or more external data sources.

8. The system of claim 6 , wherein the response comprises at least one of an image, a video, a text and a document.

9. The system of claim 6 , wherein the communication is at least one of a text-based communication, a verbal communication and an image-based communication.

10. The system of claim 6 , wherein the second set of instructions that, when executed by the processor, further configure the system to:

convey, by the virtual agent, a question from the fulfillment API to the communication channel upon receiving no follow-up response from the user to the response to the user, the question comprising a request for confirmation that the sequence of steps has fulfilled the request for the first set of instructions.

11. A non-transitory computer-readable storage medium for obtaining a first set of instructions on how to use to a product, the computer-readable storage medium including a second set of instructions that when executed by a computer, configure the computer to:

receive, by a communication channel, a communication from a user, the communication comprising a request for obtaining the first set of instructions;

receive, by a virtual agent, the communication from the communication channel, the virtual agent comprising a natural language processor;

deduce, by the natural language processor, an intent and one or more entities of the communication, the natural language processor having been trained on: one or more sets of sample phrases with each set of sample phrases associated with a respective intent, and a definition of each entity;

communicate, by a fulfillment API, the intent and the one or more entities to a knowledge engine;

prepare, by the knowledge engine, a query for the first set of instructions;

gather, by the knowledge engine, information about an action associated with the first set of instructions;

assemble, by the knowledge engine, a sequence of steps to execute the action;

communicate, by the knowledge engine, the sequence of steps to the fulfillment API;

convert, by the fulfillment API, the sequence of steps into a response;

convey, by the virtual agent, the response from the fulfilment API to the communication channel; and

communicate, by the communication channel, the response to the user;

wherein the communication channel depends on a service that is used in construction of the virtual agent.

12. The non-transitory computer-readable storage medium of claim 11 , wherein:

the knowledge engine comprises a knowledge base that provides information about the product; and

the knowledge base comprises structured data, semi-structured data, unstructured data and communication with one or more external data sources.

13. The non-transitory computer-readable storage medium of claim 11 , wherein the response comprises at least one of an image, a video, a text and a document.

14. The non-transitory computer-readable storage medium of claim 11 , wherein the second set of instructions, that when executed by a computer, configure the computer to:

convey, by the virtual agent, a question from the fulfillment API to the communication channel upon receiving no follow-up response from the user to the response to the user, the question comprising a request for confirmation that the sequence of steps has fulfilled the request for the first set of instructions.

15. The non-transitory computer-readable storage medium of claim 11 , wherein the communication is at least one of a text-based communication, a verbal communication and an image-based communication.