Granted Patent B2

US 12,198,090 · App. 18/111,924 · Granted Jan 14, 2025

Inventor: Kenny Chapman (Scottsdale, AZ)

Assignee: The Blue Collar Success Group, LLC

G06Q10/06393G06F16/2468G06F16/906G06F16/951G06N3/08

Abstract

Claims (59)

1. An apparatus for generating system improvement data, wherein the apparatus comprises:

at least a processor;

a memory communicatively connected to the at least a processor, wherein the memory containing instructions configuring the at least a processor to:

receive system data relating to an organizational identifier, wherein receiving the system data comprises:

training and utilizing a web crawler to generate a web index;

generating a query as a function of the organizational identifier; and

retrieving the system data as a function of the web index and the organizational identifier;

receive user data related to a plurality of users, wherein user data comprises a plurality of feedback relating to a system;

classify the system data and user data to a performance range category, wherein classifying the system data and user data comprises:

receiving performance category training data, wherein the performance category training data comprises the system data and user data as inputs correlated to a plurality of performance range categories as outputs;

training a performance classifier as a function of the performance category training data, wherein training the performance classifier comprises:

iteratively updating the performance category training data as a function of input and output results of the performance classifier; and

retraining the performance classifier with an updated performance category training data; and

outputting the performance range category as a function of the performance classifier;

generate a performance report comprising a plurality of inadequate performance metrics, wherein generating the performance report comprises ranking the plurality of inadequate performance metrics based on a comparison of levels of underperformance and ideal performance metrics; and

generate, as a function of the performance range category, improvement data by:

deriving a plurality of improvements features by:

retrieving and indexing a plurality of systems related to the system as a function of the system data; and

identifying trends correlated to a high performance of the plurality of systems;

generating improvement training data correlating a plurality of elements of the performance report to a plurality of improvement features;

training an improvement classifier as a function of the improvement training data; and

outputting the improvement data as a function of the improvement classifier, wherein the improvement data comprises an improvement plan that is configured to outline at least a step to improve adequacy and an improvement feature that is related to a practice of an organization related to the system.

2. The apparatus of claim 1 , wherein receiving the system data further comprises identifying inconsistencies contained in the system data utilizing a language processing model.

3. The apparatus of claim 2 , wherein the memory contains instructions further configuring the at least a processor to automatedly correct the identified inconsistencies.

4. The apparatus of claim 1 , wherein ranking the plurality of inadequate performance metrics comprises utilizing a fuzzy set inference system.

5. The apparatus of claim 4 , wherein the fuzzy set inference system comprises a fuzzy logic model, wherein the fuzzy logic model determines an ideal performance metric response as a function of a fuzzy set comparison technique.

6. The apparatus of claim 1 , wherein generating the improvement data comprises incorporating the performance report.

7. The apparatus of claim 1 , wherein generating the improvement data further comprises:

transmitting the performance report to a user device;

receiving user feedback comprising prioritization of improving an inadequate performance metric of the plurality of inadequate performance metrics;

inputting the user feedback into the improvement classifier as an input; and

outputting the improvement data incorporating the user feedback.

8. A method for generating system improvement data, wherein the method comprises:

receiving, by at least a computing device, system data, wherein receiving the system data comprises training and utilizing a web crawler configured to generate a web index of the system data;

receiving, by the at least computing device, user data related to a plurality of users, wherein user data comprises a plurality of feedback relating to a system;

classifying, by the at least computing device, the system data and user data to a performance range category, wherein classifying the system data and user data comprises:

receiving performance category training data, wherein the performance category training data comprises the system data and user data as inputs correlated to a plurality of performance range categories as outputs;

training a performance classifier as a function of the performance category training data, wherein training the performance classifier comprises:

iteratively updating the performance category training data as a function of input and output results of the performance classifier; and

retraining the performance classifier with an updated performance category training data; and

outputting the performance range category as a function of the performance classifier;

generating, by the at least a computing device, a performance report comprising a plurality of inadequate performance metrics, wherein generating the performance report comprises ranking the plurality of inadequate performance metrics based on a comparison of levels of underperformance and ideal performance metrics; and

generating, by the at least computing device, as a function of the performance range category, improvement data by:

deriving a plurality of improvements features by:

retrieving and indexing a plurality of systems related to the system as a function of the system data; and

identifying trends correlated to a high performance of the plurality of systems;

generating improvement training data correlating a plurality of elements of the performance report to a plurality of improvement features;

training an improvement classifier as a function of the improvement training data; and

outputting the improvement data as a function of the improvement classifier, wherein the improvement data comprises an improvement plan that is configured to outline at least a step to improve adequacy and an improvement feature that is related to a practice of an organization related to the system.

9. The method of claim 8 , wherein receiving the system data further comprises identifying inconsistencies contained in the system data utilizing a language processing model.

10. The method of claim 9 , wherein further comprising automatedly correcting the identified inconsistencies.

11. The method of claim 8 , wherein ranking the plurality of inadequate performance metrics comprises utilizing a fuzzy set inference system.

12. The method of claim 11 , wherein the fuzzy set inference system comprises a fuzzy logic model, wherein the fuzzy logic model determines an ideal performance metric response as a function of a fuzzy set comparison technique.

13. The method of claim 8 , wherein generating the improvement data comprises incorporating the performance report.

14. The method of claim 8 , wherein generating the improvement data further comprises:

transmitting the performance report to a user device;

receiving user feedback comprising prioritization of improving an inadequate performance metric of the plurality of inadequate performance metrics;

inputting the user feedback into the improvement classifier as an input; and

outputting the improvement data incorporating the user feedback.

Assignments (1)

Continuity (1)

References Cited (19)