System for assisting in marketing

A non-transitory computer readable storage medium with data stored therein representing a software executable by a computer having a processor coupled to a memory, the software comprising instructions that, when executed, cause the computer to perform:

• determining a natural language of statements by a human;
• determining an intent, based on the natural language of the statements, of the human to purchase a type of product;
• determining, using a machine learning classifier, a stage of interest that the human is currently in to purchase the type of product;
• selecting a dialog to respond to the human based on the stage of interest;
• mapping the natural language of the statements to a plurality of nodes;
• wherein a first set of the plurality of nodes represent statements that can be made by the human;
• wherein a second set of the plurality of nodes represent statements that can be made to the human;
• wherein interconnections between the first set of nodes and the second set of nodes represent potential dialogs in a conversation with the human;
• wherein selecting the dialog comprises selecting an interconnection between the first set of nodes and the second set of nodes based on the stage of interest;
• wherein the stage of interest comprises a stage selected from the group consisting of a discovery stage, an information stage, and an action stage;
• wherein the second set of nodes comprise an advertisement that is based on the stage of interest;
• and
• wherein the advertisement in the action stage comprises an offer to sell an individual product.

A computer system with a processor coupled to a memory, the memory storing instructions comprising:

• a database configured to store a plurality of nodes;
• wherein a first set of the plurality of nodes represent statements that can be made by a human;
• wherein a second set of the plurality of nodes represent statements that can be made to the human;
• wherein the processor is configured to:
• determine a natural language of statements by the human;
• determine an intent, based on the natural language of the statements of the human to purchase a type of product;
• determine, using a machine learning classifier, a stage of interest that the human is currently in to purchase the type of product;
• select a dialog to respond to the human based on the stage of interest;
• map the natural language of the statements to a plurality of nodes;
• wherein a first set of the plurality of nodes represent statements that can be made by the human;
• wherein a second set of the plurality of nodes represent statements that can be made to the human;
• wherein interconnections between the first set of nodes and the second set of nodes represent potential dialogs in a conversation with the human;
• wherein selecting the dialog comprises selecting an interconnection between the first set of nodes and the second set of nodes based on the stage of interest;
• wherein the stage of interest comprises a stage selected from the group consisting of a discovery stage, an information stage, and an action stage;
• wherein the second set of nodes comprise an advertisement that is based on the stage of interest;
• and
• wherein the advertisement in the action stage comprises an offer to sell an individual product.