Prosecution Insights
Last updated: April 18, 2026
Application No. 18/496,807

SYSTEM AND METHOD FOR PREDICTING CUSTOMER PROPENSITIES AND OPTIMIZING RELATED TASKS THEREOF VIA MACHINE LEARNING

Non-Final OA §112
Filed
Oct 27, 2023
Examiner
BOYCE, ANDRE D
Art Unit
3623
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Acqueon Technologies Inc.
OA Round
3 (Non-Final)
36%
Grant Probability
At Risk
3-4
OA Rounds
4y 7m
To Grant
56%
With Interview

Examiner Intelligence

Grants only 36% of cases
36%
Career Allow Rate
224 granted / 620 resolved
-15.9% vs TC avg
Strong +20% interview lift
Without
With
+19.8%
Interview Lift
resolved cases with interview
Typical timeline
4y 7m
Avg Prosecution
41 currently pending
Career history
661
Total Applications
across all art units

Statute-Specific Performance

§101
33.6%
-6.4% vs TC avg
§103
34.1%
-5.9% vs TC avg
§102
17.5%
-22.5% vs TC avg
§112
10.8%
-29.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 620 resolved cases

Office Action

§112
DETAILED ACTION Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 3/23/2026 has been entered. Claims 1 and 11 have been amended. Claims 10 and 20 have been canceled, while claims 21 and 22 have been added. Claims 1-9, 11-19, 21 and 22 are pending. The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Regarding the previously pending 35 USC 101 rejection, the claims as a whole, recite additional elements that integrate the judicial exception into a practical application, under Prong Two of Step 2A of the Alice analysis. Specifically, independent claims 1 and 11 recite “compar[ing] the feedback data against predicted values generated by the first machine learning model, the second machine learning model, and the third machine learning model to generate error data comprising, for each customer of the subset, a difference between the predicted values and the feedback data; and retrain[ing] one or more of the first machine learning model, the second machine learning model, and the third machine learning model in the machine learning library using the error data, the retraining comprising the steps of: selecting which features of the plurality of customer records are most important for prediction; tuning hyperparameters of one or more of the first machine learning model, the second machine learning model, and the third machine learning model; and selecting a most effective model family for one or more of the first machine learning model, the second machine learning model, and the third machine learning model.” Specification The disclosure is objected to because of the following informalities: The CROSS-REFERENCE TO RELATED APPLICATIONS section must be updated. Appropriate correction is required. Claim Rejections - 35 USC § 112 The following is a quotation of the first paragraph of 35 U.S.C. 112(a): (a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention. The following is a quotation of the first paragraph of pre-AIA 35 U.S.C. 112: The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor of carrying out his invention. Claims 1-9, 11-19, 21 and 22 are rejected under 35 U.S.C. 112(a) or 35 U.S.C. 112 (pre-AIA ), first paragraph, as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for applications subject to pre-AIA 35 U.S.C. 112, the inventor(s), at the time the application was filed, had possession of the claimed invention. Amended independent claims 1 and 11 recite “compar[ing] the feedback data against predicted values generated by the first machine learning model, the second machine learning model, and the third machine learning model to generate error data comprising, for each customer of the subset, a difference between the predicted values and the feedback data; and retrain[ing] one or more of the first machine learning model, the second machine learning model, and the third machine learning model in the machine learning library using the error data…”. Additionally, dependent claims 21 and 22 recite “analyzing the error data using a model evaluation engine that identifies key prediction parameters from the error data”. However, the originally filed specification does not recite “error data”, much less generating, using, and analyzing error data in the manner recited in the amended claim language. Clarification is required. Dependent claims 2-9 and 12-19 are rejected based upon the same rationale. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANDRE D BOYCE whose telephone number is (571)272-6726. The examiner can normally be reached M-F 10a-6:30p. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Rutao (Rob) Wu can be reached at (571) 272-6045. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /ANDRE D BOYCE/Primary Examiner, Art Unit 3623 April 3, 2026
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Prosecution Timeline

Oct 27, 2023
Application Filed
May 14, 2025
Non-Final Rejection — §112
Sep 19, 2025
Response Filed
Dec 18, 2025
Final Rejection — §112
Mar 23, 2026
Request for Continued Examination
Mar 31, 2026
Response after Non-Final Action
Apr 03, 2026
Non-Final Rejection — §112 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
36%
Grant Probability
56%
With Interview (+19.8%)
4y 7m
Median Time to Grant
High
PTA Risk
Based on 620 resolved cases by this examiner. Grant probability derived from career allow rate.

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