System and method of action-based navigation visualization for supply chain planners and specially-abled users
A system and method are disclosed for predicting recommendations for a user interface. The method includes generating a graphical user interface that receives an input from a user of a client portal, crawling tasks associated with the user in the client portal, ranking the tasks according to an intent associated with the input from the user, fetching at least one task from the ranked tasks, calculating a quantity of steps to complete the task from the ranked tasks; identifying one or more slots used by the task in at least one step from the quantity of steps, and generating one or more recommendations comprising a subsequent action for the user to complete the task.
1 . A system for interacting with a chat bot, comprising:
a system architecture comprising, a server, an interface module, a natural language response engine, a conversation engine, a knowledge base, and a database;
the server, comprising a processor and memory, and configured to:
interact, by the interface module, with a user using text or voice-based natural language by receiving natural language input from the user to create an activity;
perform, by the natural language response engine, natural language processing to extract an intent of the user, wherein the intent is mapped to one or more meta-classes;
perform, by the knowledge base, a task analysis on the extracted intent to determine at least one task and required slots, wherein the knowledge base further comprises functional workflows;
receive, by the natural language response engine, a response from the knowledge base comprising a task identity, a number of required steps and missing slots;
transform, by the natural language response engine, the response from the knowledge base to a natural language response; and
display, by the conversation engine, the natural language response.
2 . The system of claim 1 , wherein the intent comprises one or more of: a category type, a timeline type and an owner.
3 . The system of claim 1 , wherein the knowledge base comprises intent-driven markers on layouts which comprises actions and tasks that are possible on the layouts.
4 . The system of claim 1 , wherein the displayed natural language response comprises a prompt for the user to execute guided navigation.
5 . The system of claim 1 , wherein the knowledge base comprises functional workflows comprising a logical sequence of actions.
6 . The system of claim 1 , wherein the conversation engine comprises a chatbot.
7 . The system of claim 1 , wherein the functional workflows comprise operations and tasks that are coupled with a business objective.
8 . A computer-implemented method for interacting with a chat bot, comprising:
interacting, by an interface module of a server, with a user using text or voice-based natural language by receiving natural language input from the user to create an activity, wherein the server comprises a processor and memory;
performing, by a natural language processing engine of the server, natural language processing to extract an intent of the user, wherein the intent is mapped to one or more meta-classes;
performing, by a knowledge base, a task analysis on the extracted intent to determine at least one task and required slots, wherein the knowledge based further comprises functional workflows;
receiving, by the natural language processing engine, a response from the knowledge base comprising a task identity, a number of required steps and missing slots;
transforming, by the natural language processing engine, the response from the knowledge base to a natural language response; and
displaying, by a conversation engine, the natural language response.
9 . The computer-implemented method of claim 8 , wherein the intent comprises one or more of: a category type, a timeline type and an owner.
10 . The computer-implemented method of claim 8 , wherein the knowledge base comprises intent-driven markers on layouts which comprises actions and tasks that are possible on the layouts.
11 . The computer-implemented method of claim 8 , wherein the displayed natural language response comprises a prompt for the user to execute guided navigation.
12 . The computer-implemented method of claim 8 , wherein the knowledge base comprises functional workflows comprising a logical sequence of actions.
13 . The computer-implemented method of claim 8 , wherein the conversation engine comprises a chatbot.
14 . The computer-implemented method of claim 8 , wherein the functional workflows comprise operations and tasks that are coupled with a business objective.
15 . A non-transitory computer-readable storage medium embodied with software for interacting with a chat bot, the software when executed by a server is configured to:
interact, by an interface module of the server, with a user using text or voice-based natural language by receiving natural language input from the user to create an activity, wherein the server comprises a processor and memory;
perform, by a natural language processing engine of the server, natural language processing to extract an intent of the user, wherein the intent is mapped to one or more meta-classes;
perform, by a knowledge base, a tasks analysis on the extracted intent to determine at least one task and required slots, wherein the knowledge base further comprises functional workflows;
receive, by the natural language processing engine, a response from the knowledge base comprising a task identity, a number of required steps and missing slots;
transform, by the natural language processing engine, the response from the knowledge base to a natural language response; and
display, by a conversation engine, the natural language response.
16 . The non-transitory computer-readable storage medium of claim 15 , wherein the intent comprises one or more of: a category type, a timeline type and an owner.
17 . The non-transitory computer-readable storage medium of claim 15 , wherein the knowledge base comprises intent-driven markers on layouts which comprises actions and tasks that are possible on the layouts.
18 . The non-transitory computer-readable storage medium of claim 16 , wherein the displayed natural language response comprises a prompt for the user to execute guided navigation.
19 . The non-transitory computer-readable storage medium of claim 15 , wherein the knowledge base comprises functional workflows comprising a logical sequence of actions.
20 . The non-transitory computer-readable storage medium of claim 15 , wherein the conversation engine comprises a chatbot.