Granted Patent B2

US 12,499,114 · App. 18/810,880 · Granted Dec 16, 2025

Inventors: Matt McGregor (Seattle, WA); Craig Rosenberg (Shoreline, WA)

G06F16/24578G06F16/22G06F16/248

Abstract

Claims (55)

1 . An apparatus for enhanced outreach, the apparatus comprising:

at least a processor; and

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

receive user data comprising a plurality of previous potential targets;

identify one or more sets of potential data comprising an employee satisfaction, including at least a turnover rate, of the plurality of previous potential targets as a function of the user data, wherein each set of potential data of the one or more sets of potential data is associated with a potential target;

calculate one or more outreach indexes as a function of the one or more sets of potential data, wherein calculating one or more outreach indexes comprises:

receiving at least one indicator weighting associated with the one or more sets of potential data; and

calculating the one or more outreach indexes as a function of the at least one indicator weighting;

determine one or more outreach recommendations as a function of the one or more outreach indexes and the one of more sets of potential data, wherein:

the one or more outreach recommendations comprise a suggestive script instructing a user on how to communicate with the potential target; and

determining the one or more outreach recommendations comprises determining the one or more outreach recommendations using a recommendation machine learning model iteratively trained on recommendation training data; and

display the one or more outreach recommendations using a graphical user interface.

2 . The apparatus of claim 1 , wherein the processor is further configured to sort the one or more sets of potential data as a function of the one or more outreach indexes.

3 . The apparatus of claim 2 , wherein:

sorting the one or more sets of potential data comprises ranking the one or more sets of potential data as a function of a plurality of scores; and

determining the one or more outreach recommendations comprises determining the one or more outreach recommendations as a function of the ranking.

4 . The apparatus of claim 3 , wherein the at least a processor is further configured to generate an aggregate ranking as a function of the one or more sets of potential data.

5 . The apparatus of claim 2 , wherein sorting the one or more sets of potential data comprises: training a classifier using outreach training data; and

classifying the one or more sets of potential data using the classifier.

6 . The apparatus of claim 1 , wherein the one or more outreach recommendations comprise at least an outreach channel correlated with a suggested mode of communication with the potential target.

7 . The apparatus of claim 1 , wherein:

the one or more outreach recommendations comprise one or more autogenerated communications; and

determining the one or more outreach recommendations comprises outputting the one or more autogenerated communications using a natural language processing algorithm.

8 . The apparatus of claim 7 , wherein the one or more autogenerated communications comprise an email or a letter.

9 . The apparatus of claim 1 , wherein identifying the one or more sets of potential data comprises:

classifying the plurality of previous potential targets to a field class; and

identifying the one or more sets of potential data as a function of the field class.

10 . The apparatus of claim 1 , wherein the suggestive script comprises a list of talking points.

11 . A method for enhanced outreach, the method comprising:

receiving, by a processor, user data comprising a plurality of previous potential targets;

identifying, by the processor, one or more sets of potential data comprising an employee satisfaction, including at least a turnover rate, of the plurality of previous potential targets as a function of the user data, wherein each set of potential data of the one or more sets of potential data is associated with a potential target;

calculating, by the processor, one or more outreach indexes as a function of the one or more sets of potential data, wherein calculating one or more outreach indexes comprises:

receiving at least one indicator weighting associated with the one or more sets of potential data; and

calculating the one or more outreach indexes as a function of the at least one indicator weighting;

determining, by the processor, one or more outreach recommendations as a function of the one or more outreach indexes and the one of more sets of potential data, wherein:

the one or more outreach recommendations comprise a suggestive script instructing a user on how to communicate with the potential target; and

determining the one or more outreach recommendations comprises determining the one or more outreach recommendations using a recommendation machine learning model iteratively trained on recommendation training data; and

displaying, by the processor, the one or more outreach recommendations using a graphical user interface.

12 . The method of claim 11 , wherein the processor is further configured to sort the one or more sets of potential data as a function of the one or more outreach indexes.

13 . The method of claim 12 , wherein:

sorting the one or more sets of potential data comprises ranking the one or more sets of potential data as a function of a plurality of scores; and

determining the one or more outreach recommendations comprises determining the one or more outreach recommendations as a function of the ranking.

14 . The method of claim 13 , further comprising generating, by the processor, an aggregate ranking as a function of the one or more sets of potential data.

15 . The method of claim 12 , wherein sorting the one or more sets of potential data comprises:

training a classifier using outreach training data; and

classifying the one or more sets of potential data using the classifier.

16 . The method of claim 11 , wherein the one or more outreach recommendations comprise at least an outreach channel correlated with a suggested mode of communication with the potential target.

17 . The method of claim 11 , wherein:

the one or more outreach recommendations comprise one or more autogenerated communications; and

determining the one or more outreach recommendations comprises outputting the one or more autogenerated communications using a natural language processing algorithm.

18 . The method of claim 17 , wherein the one or more autogenerated communications comprise an email or a letter.

19 . The method of claim 11 , wherein identifying the one or more sets of potential data comprises:

classifying the plurality of previous potential targets to a field class; and

identifying the one or more sets of potential data as a function of the field class.

20 . The method of claim 11 , wherein the suggestive script comprises a list of talking points.

Continuity (2)

References Cited (10)