Prosecution Insights
Last updated: April 19, 2026
Application No. 18/955,436

DETERMINING CONDITIONS AND INCENTIVES ASSOCIATED WITH INSTALLMENT OPTIONS

Non-Final OA §101§103
Filed
Nov 21, 2024
Examiner
SNIDER, SCOTT
Art Unit
3621
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Synchrony Bank
OA Round
1 (Non-Final)
29%
Grant Probability
At Risk
1-2
OA Rounds
5y 1m
To Grant
48%
With Interview

Examiner Intelligence

Grants only 29% of cases
29%
Career Allow Rate
62 granted / 212 resolved
-22.8% vs TC avg
Strong +18% interview lift
Without
With
+18.4%
Interview Lift
resolved cases with interview
Typical timeline
5y 1m
Avg Prosecution
20 currently pending
Career history
232
Total Applications
across all art units

Statute-Specific Performance

§101
31.7%
-8.3% vs TC avg
§103
42.1%
+2.1% vs TC avg
§102
9.4%
-30.6% vs TC avg
§112
10.7%
-29.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 212 resolved cases

Office Action

§101 §103
DETAILED ACTION The communication is a First Action Non-Final on the merits. Claims 1-24, as originally filed, are currently pending and have been considered below. Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 101 35 U.S.C. § 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-24 are rejected under 35 U.S.C. § 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. Step 1: Claims 1-8 are directed towards a method. Claims 9-16 are directed towards a system. Claims 17-24 are directed towards a manufacture (computer-readable medium). Thus, these claims, on their face, are directed to one of the statutory categories of 35 U.S.C. § 101. Step 2A - Prong One: As per MPEP 2106.04, Prong One asks does the claim recite an abstract idea, law of nature, or natural phenomenon. In Prong One examiners evaluate whether the claim(s) recites a judicial exception; that is, whether the claim(s) set forth or describe a law of nature, natural phenomenon, or abstract idea. Claim 1 is presented here as a representative claim for specific analysis (The underlined claim terms here are interpreted as additional elements beyond the abstract idea.): A computer-implemented method comprising: identifying an installment option associated with an account, wherein the installment option identifies a first recurring transfer of resources across a time period; determining one or more conditions for transferring the resources; determining an alternative installment option associated with the account, wherein the alternative installment option identifies a second recurring transfer of resources across the time period, wherein the alternative installment option is associated with an incentive associated with the account, and wherein the incentive is applied when the one or more conditions are satisfied; transmitting the installment option and the alternative installment option, wherein when the installment option and the alternative installment option are received, a web service causes the installment option and the alternative installment option to be displayed on one or more web pages; receiving a user selection of the alternative installment option; detecting in real-time a set of actions performed for the account, wherein the set of actions are associated with the one or more conditions, and wherein the set of actions are detected in real-time as a plurality of actions continue to be performed for the account; determining in real-time that the one or more conditions have been satisfied based on the set of actions, wherein the one or more conditions are determined to have been satisfied in real-time as the plurality of actions continue to be performed for the account; and processing the incentive associated with the alternative installment option. The claims here are based on the recitation of an abstract idea (i.e. recitation other than the additional elements delineated here with underlining and further addressed per Step 2A - Prong Two and Step 2B). The claims recite the abstract idea of awarding incentives to a user upon the user completing required actions related to an installment payment option which falls within certain methods of organizing human activity. The phrase "certain methods of organizing human activity" applies to fundamental economic principles or practices including hedging insurance, mitigating risk; commercial or legal interactions including agreements in the form of contracts, legal obligations, advertising, marketing or sales activities or behaviors business relations; managing personal behavior or relationships or interactions between people including social activities teaching, and following rules or instructions. Refer to MPEP 2106.04(a)(2) II. A-C. The Remaining Claims: The additional independent claims fail to recite any additional elements beyond those identified above except “one or more processors”, “memory storing thereon instructions”, “non-transitory, computer-readable storage medium”. The dependent claims recite fail to recite any additional elements beyond those already identified except “machine-learning model” (claims 6-8, 14-16, 22-24). The dependent claims further reiterate the same abstract idea with further embellishments: details of the incentive requirements (claims 2-8, 10-16, 18-24). Therefore, the identified claims fall within the subject matter groupings of abstract ideas enumerated in MPEP 2106.04(a)(2). Step 2A - Prong Two: As per MPEP 2106.04.II.A.2, Prong Two determines if the claim(s) recite additional elements that integrate the judicial exception into a practical application. As for the additional elements of: “computer-implemented”, “one or more processors”, “memory storing thereon instructions”, “non-transitory, computer-readable storage medium”. To be patent-eligible, the elements additional to the identified abstract idea must amount to more than "an instruction to apply the abstract idea . . . using some unspecified, generic computer" to render the claim patent-eligible. Alice Corp. v. CLS Bank Int'l, 573 U.S. 208, 226 (2014). It would have been readily apparent to one having ordinary skill in the art (PHOSITA) at the time the invention was filed that the additional elements represent generic computing devices. Therefore, the claims amount to no more than a mere method, system, and/or computer program product to implement the abstract idea on a generic computer system. See MPEP § 2106.05(f). As for the additional element(s) of: “a machine learning model”. The use of machine learning or artificial intelligence, without providing details of how the models themselves are improved, represents mere instructions to apply an exception. See MPEP 2106.05(f). transmitting the installment option and the alternative installment option, wherein when the installment option and the alternative installment option are received, a web service causes the installment option and the alternative installment option to be displayed on one or more web pages; receiving a user selection of the alternative installment option; The gathering and presentation of data represents insignificant extra-solution activity that comprises mere data gathering. The gathering of data represents insignificant extra-solution activity that comprises mere data gathering. The additional element(s) represent insignificant extra-solution activity incidental to the primary process or product that are merely a nominal or tangential addition to the claim as noted in MPEP 2106.05(g). The ordered combination of these additional elements amounts to generally linking the use of the abstract idea to a particular technological environment or field of use (MPEP 2106.05(h)). The ordered combination offers nothing more than employing a generic configuration of computer devices and computer functions. The claims do not amount to a practical application, similar to how limiting the abstract idea in Flook to petrochemical and oil-refining industries was insufficient. Step 2B: As per MPEP 2106.05, the additional elements are analyzed, both individually and in combination, to determine whether an "inventive concept" is furnished by an element or combination of elements that is recited in the claim in addition to (beyond) the judicial exception, and is sufficient to ensure that the claim, as a whole, amounts to significantly more than the judicial exception itself. As for the additional element(s): transmitting the installment option and the alternative installment option, wherein when the installment option and the alternative installment option are received, represents receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information) a web service causes the installment option and the alternative installment option to be displayed on one or more web pages; receiving a user selection of the alternative installment option; represents using a user interface such as a web browser’s back and forward button functionality, Internet Patent Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) Applying a "machine learning model" at a high level of generality represents performing repetitive calculations, Flook, 437 U.S. at 594, 198 USPQ2d at 199 (recomputing or readjusting alarm limit values); Bancorp Services v. Sun Life, 687 F.3d 1266, 1278, 103 USPQ2d 1425, 1433 (Fed. Cir. 2012). Machine learning is well-understood, routine and conventional as exemplified in "Approaches to Machine Learning" by Langley et al. (Langley, P. and Carbonell, J.G. (1984), Approaches to machine learning. J. Am. Soc. Inf. Sci., 35: 306-316. https://doi.org/10.1002/asi.4630350509 (Year: 1984)) References of Record but not Applied in the Current Grounds of Rejection The prior art listed below is made of record as considered pertinent to applicant's disclosure and is not relied upon in the grounds of rejection presented in this Office action. Those starred with '*' were added to this list in this Office action. Those without "*" were added in a previous Office action and are not repeated on a PTO-892 Notice of References Cited form, but are maintained herein for informational purposes only. * Bian et al., in “The rise of e-wallets and buy-now-pay-later: Payment competition, credit expansion, and consumer behavior”, discusses the rise of Buy Now Pay Later (BNPL) payment systems and the effect on consumer behavior. Examiner's Note on the Format of the Prior Art Rejections The prior art rejections below contain underlined markings of the limitations (e.g. sample limitation). The underlined portions of a claim are addressed at the end of the grounds of rejection for that claim. Examiner notes that the underlining of the claim language is not a statement that the primary reference does not teach that language, but simply that said claim language is addressed at the end of the grounds of rejection for that claim. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 1-5, 9-13, 17-21 is/are rejected under 35 U.S.C. § 103 as being unpatentable over Anderson et al. (Pub. #: US 2022/0398585 A1) in view of Etheredge et al. (Pub. #: US 2010/0106576 A1). Claim(s) 1, 9, 17: These claims are analogous with different representative embodiments: claim 1 is a method embodiment, claim 9 is a system embodiment, and claim 17 is a computer-readable medium embodiment. Anderson teaches a computer system with computer-readable media in at least 0334-0339 for performing the steps: identifying an installment option associated with an account, wherein the installment option identifies a first recurring transfer of resources across a time period; determining one or more conditions for transferring the resources; (Anderson discloses an existing credit account that allows for presenting alternate periodic payment plans for a purchase in at least 0025, Figure 11, 0313-0325.) determining an alternative installment option associated with the account, wherein the alternative installment option identifies a second recurring transfer of resources across the time period, wherein the alternative installment option is associated with an incentive associated with the account, and wherein the incentive is applied when the one or more conditions are satisfied; (Anderson discloses proposing additional Buy Now Pay Later options wherein the options may include "an incentive" in at least 0133 and using a variety of possible options in at least 0127-0132.) transmitting the installment option and the alternative installment option, wherein when the installment option and the alternative installment option are received, a web service causes the installment option and the alternative installment option to be displayed on one or more web pages; (Anderson discloses a web-based interface for the Buy Now Pay Later application in at least 0043 and discloses presenting the offers to the user in at least 0132.) receiving a user selection of the alternative installment option; (Anderson discloses presenting multiple payment options for user selection in at least 0132-0143.) detecting in real-time a set of actions performed for the account, wherein the set of actions are associated with the one or more conditions, and wherein the set of actions are detected in real-time as a plurality of actions continue to be performed for the account; determining in real-time that the one or more conditions have been satisfied based on the set of actions, wherein the one or more conditions are determined to have been satisfied in real-time as the plurality of actions continue to be performed for the account; and processing the incentive associated with the alternative installment option. As for the underlined portions: Anderson discloses incentives for various buy now pay later options presented to a user as noted above. Anderson does not appear to make explicit the monitoring of user activities in real-time to process incentive payments. However, Etheredge teaches a technique of monitoring a transaction account according to "predetermined rules, billing history, transaction history, payment terms for the transaction account, eligibility rules, etc." in order to qualify the user for incentives in at least 0078-0091. It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to modify the installment options system of Anderson with the technique of real-time monitoring to qualify a user for incentives as taught by Etheredge. Motivation to combine Anderson with Etheredge derives from the desire to encourage good behavior in users by offering incentives (Etheredge: 0007). Claim(s) 2, 10, 18: wherein the installment option indicates an interest rate associated with resources of the account, and wherein the incentive of the alternative installment option includes a reduction of the interest rate associated with the installment option. (Anderson discloses presenting multiple payment options to users in at least 0132-0143. Specifically, a reduced interest rate may be presented a reduced interest rate associated with autopayment setup in at least 0123-0127.) Claim(s) 3, 11, 19: wherein the installment option indicates an amount of interest to be applied to the resources of the account, and wherein the incentive of the alternative installment option includes waiving an entirety the indicated amount of interest. (Anderson discloses presenting multiple payment options to users in at least 0132-0143. Specifically, a reduced interest rate may be presented a reduced interest rate or a "not interest grace period" associated with autopayment setup in at least 0123-0127.) Claim(s) 4, 12, 20: wherein the one or more conditions include payment of an entirety of resources associated with the account before a particular date, and wherein the particular date is earlier than a maturation date associated with the time period. (Anderson discloses presenting multiple payment options to users in at least 0132-0143. Specifically, Anderson discloses "no interest charged" if the BNPL is paid off "within a time period that is shorter than the default time period" in at least 0142.) Claim(s) 5, 13, 21: wherein the one or more conditions include activating an automatic withdrawal of the resources that are associated with the second recurring transfer. (Anderson discloses presenting multiple payment options to users in at least 0132-0143. Specifically, a reduced interest rate may be presented a reduced interest rate associated with autopayment setup in at least 0123-0127.) Claim(s) 6-8, 14-16, 22-24 is/are rejected under 35 U.S.C. § 103 as being unpatentable over Anderson et al. (Pub. #: US 2022/0398585 A1) in view of Etheredge et al. (Pub. #: US 2010/0106576 A1) in view of Gabri et al. (Pub. #: US 2025/0053952 A1). Claim(s) 6, 14, 22: wherein the incentive is associated with a particular type, and wherein the particular type of the incentive is determined by applying a machine-learning model to profile data of a user associated with the account. Anderson does not appear to specify the use of a "machine learning model" applied to profile data of a user associated with the account. However, Gabri teaches a technique of using incentive rules that apply to transactions above a threshold (i.e., a type of transaction) and that the rules are determined by machine learning algorithms in at least 0075-0079. It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to modify the installment options system of Anderson, in view of Etheredge, with the technique of using a machine learning model applied on user data to optimize installment options presented to users as taught by Gabri. Motivation to combine Anderson with Gabri derives from the desire to present users with the installment options that provide the "greatest value or utility" (Gabri: 0029). Claim(s) 7, 15, 23: wherein the one or more conditions include one or more condition parameters, and wherein the one or more condition parameters are determined by applying a machine-learning model to profile data of a user associated with the account. Anderson does not appear to specify the use of a "machine learning model" applied to profile data of a user associated with the account. However, Gabri teaches a technique of using incentive rules that apply to transactions above a threshold (i.e., a condition) and that the rules are determined by machine learning algorithms in at least 0075-0079. It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to modify the installment options system of Anderson, in view of Etheredge, with the technique of using a machine learning model applied on user data to optimize installment options presented to users as taught by Gabri. Motivation to combine Anderson with Gabri derives from the desire to present users with the installment options that provide the "greatest value or utility" (Gabri: 0029). Claim(s) 8, 16, 24: wherein the incentive includes one or more incentive parameters, and wherein the one or more incentive parameters are determined by applying a machine-learning model to profile data of a user associated with the account. Anderson does not appear to specify the use of a "machine learning model" applied to profile data of a user associated with the account. However, Gabri teaches a technique of using incentive rules that apply to transactions above a threshold (i.e., parameters) and that the rules are determined by machine learning algorithms in at least 0075-0079. It would have been obvious to a person of ordinary skill in the art before the effective filing date of the claimed invention to modify the installment options system of Anderson, in view of Etheredge, with the technique of using a machine learning model applied on user data to optimize installment options presented to users as taught by Gabri. Motivation to combine Anderson with Gabri derives from the desire to present users with the installment options that provide the "greatest value or utility" (Gabri: 0029). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to SCOTT SNIDER whose telephone number is (571)272-9604. The examiner can normally be reached M-W: 9:00-4:30 Mountain (11:00-6:30 Eastern). 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, Waseem Ashraf can be reached at (571)270-3948. 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. /SCOTT SNIDER/Examiner, Art Unit 3621
Read full office action

Prosecution Timeline

Nov 21, 2024
Application Filed
Feb 19, 2026
Non-Final Rejection — §101, §103
Mar 23, 2026
Interview Requested
Mar 31, 2026
Examiner Interview Summary

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12602703
Edge Computing Nodes Supported by Smart Contract Enabled Blockchain Network with On-Chain and Off-Chain Solution Verification
2y 5m to grant Granted Apr 14, 2026
Patent 12572957
TARGET CONTENT PERSONALIZATION IN OUTDOOR DIGITAL DISPLAY
2y 5m to grant Granted Mar 10, 2026
Patent 12530704
ELECTRONIC CONSUMER-TRACKING COUPONS
2y 5m to grant Granted Jan 20, 2026
Patent 12475486
ISOLATED BUDGET UTILIZATION
2y 5m to grant Granted Nov 18, 2025
Patent 12277571
System and Method Including a Distributed Ledger Data Structure for Authenticating and Clearing Coupons
2y 5m to grant Granted Apr 15, 2025
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
29%
Grant Probability
48%
With Interview (+18.4%)
5y 1m
Median Time to Grant
Low
PTA Risk
Based on 212 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month