17932750. SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM simplified abstract (Salesforce, Inc.)
Contents
- 1 SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM
Organization Name
Inventor(s)
Atul Kshirsagar of San Ramon CA (US)
Mark Holton of Alpharetta GA (US)
SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17932750 titled 'SIGNALS AND MEASUREMENT OF BUSINESS GOALS IN A CHATBOT PLATFORM
Simplified Explanation
The patent application describes a method for reporting the success of a dialog session using a chatbot, including generating outcome data, converting natural language queries into structured database queries, performing database queries, generating responses, and creating an outcome log.
- Generating outcome data indicative of a positive outcome of the dialog session
- Converting natural language queries into structured database queries based on metadata
- Performing structured database queries on a database
- Generating responses based on the result of the database query and natural language responses
- Sending the natural language response to the user
- Generating result metadata by comparing the result to the outcome data
- Creating an outcome log indicating the positive outcome of the dialog session
Potential Applications
This technology could be applied in customer service chatbots, virtual assistants, and automated help desks.
Problems Solved
This technology streamlines the process of evaluating the success of dialog sessions, improves user interactions, and enhances the efficiency of chatbot responses.
Benefits
The benefits of this technology include improved user satisfaction, faster resolution of queries, and more accurate reporting of successful dialog sessions.
Potential Commercial Applications
Potential commercial applications of this technology include customer service platforms, e-commerce chatbots, and online support systems.
Possible Prior Art
One possible prior art could be the use of natural language processing in chatbots to generate responses based on user queries. Another could be the use of structured database queries to retrieve information for chatbot responses.
Unanswered Questions
How does the method handle complex queries with multiple parameters?
The method described in the patent application does not specify how it handles complex queries with multiple parameters. It would be important to understand the scalability and flexibility of the system in handling such queries.
What measures are in place to ensure data privacy and security in handling user queries?
The patent application does not address the specific measures in place to ensure data privacy and security when handling user queries. It would be crucial to know how sensitive information is protected within the system.
Original Abstract Submitted
A method for reporting a success of a dialog session including generating an outcome data indicative of a positive outcome of the dialog session with at least one of the plurality of natural language responses, receiving a natural language query, converting the natural language query into a structured database query based on the metadata, performing the structured database query on a database, generating a result in response to a response data received in response to the structured database query, generating a natural language responses in response to the result and the plurality of natural language response data, sending, by the chatbot, the natural language response, generating a result metadata in response to a comparison of the result to the outcome data, and generating an outcome log in response to the result metadata wherein the outcome log includes an indication of the positive outcome of the dialog session.
