# US 2026/0065337 A1 · Intelligent internet offers > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0065337 A1 - Document ID: US20260065337A1 - Status: Published application - Kind: A1 - Application number: 18/824,200 - Filed: 2024-09-04 - Published: 2026-03-05 - Earliest claimed: 2024-09-04 - Assignees: Ergo Offers, Inc. - Applicants: Ergo Offers, Inc. - Inventors: Claire STEPANEK; Vidya KAPADIA; Chardae EDOROR - Web page: https://patentgrep.com/patent/US20260065337A1 ## CPC - G06Q 30/0611: {Request for offers or quotes} - G06Q 30/0206: {Price or cost determination based on market factors} - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract The present disclosure describes systems and methods that provide intelligent offers for products. The method includes enabling intelligent offers for a target product, identifying one or more intelligent offer rules for the target product, receiving, from a user over a communication network, an offer for the target product, and validating the offer for the target product using the one or more intelligent offer rules, which includes determining to accept the offer for the target product based on comparing the intelligent offer rules to one or more characteristics of the offer and accepting the offer. The offer for the target product is the sole offer from the user for the target product. Determining to accept the offer for the target product is based on the sole offer from the user for the target product. ## Claims ### Claim 1 A method, comprising: enabling intelligent offers for a target product; identifying one or more intelligent offer rules for the target product; receiving, from a user over a communication network, an offer for the target product; and validating the offer for the target product using the one or more intelligent offer rules, comprising: determining to accept the offer for the target product based on comparing the intelligent offer rules to one or more characteristics of the offer; and accepting the offer, wherein the offer for the target product is the sole offer from the user for the target product, and wherein the determining to accept the offer for the target product is based on the sole offer from the user for the target product. ### Claim 2 (depends on 1) The method of claim 1, wherein the one or more intelligent offer rules are generated automatically, without human intervention, based on information provided by a merchant for the target product. ### Claim 3 (depends on 2) The method of claim 2, wherein a first intelligent offer rule, of the one or more intelligent offer rules, is generated by inferring the offer rule using a machine learning (ML) model. ### Claim 4 (depends on 3) The method of claim 3, wherein the ML model is a supervised ML model trained using historical data to infer intelligent offer rules for target products. ### Claim 5 (depends on 1) The method of claim 1, wherein the user is barred from providing additional offers for the target product for a pre-determined period of time. ### Claim 6 (depends on 1) The method of claim 1, wherein the one or more intelligent offer rules designate a first one or more offer characteristics for which the intelligent offer is automatically accepted without human intervention and a second one or more offer characteristics for which the intelligent offer is rejected without human intervention. ### Claim 7 (depends on 6) The method of claim 6, wherein the one or more intelligent offer rules further designate a third one or more offer characteristics for which the intelligent offer is evaluated using an ML model. ### Claim 8 (depends on 7) The method of claim 7, wherein the ML model is a supervised ML model trained using historical data to infer whether to accept or reject the offer for the target product. ### Claim 9 A non-transitory computer program product comprising: one or more non-transitory computer readable media containing, in any combination, computer program code that, when executed by operation of any combination of one or more processors, performs operations comprising: enabling intelligent offers for a target product; identifying one or more intelligent offer rules for the target product; receiving, from a user over a communication network, an offer for the target product; and validating the offer for the target product using the one or more intelligent offer rules, comprising: determining to accept the offer for the target product based on comparing the intelligent offer rules to one or more characteristics of the offer; and accepting the offer, wherein the offer for the target product is the sole offer from the user for the target product, and wherein the determining to accept the offer for the target product is based on the sole offer from the user for the target product. ### Claim 10 (depends on 9) The non-transitory computer program product of claim 9, wherein the one or more intelligent offer rules are generated automatically, without human intervention, based on information provided by a merchant for the target product. ### Claim 11 (depends on 10) The non-transitory computer program product of claim 10, wherein a first intelligent offer rule, of the one or more intelligent offer rules, is generated by inferring the offer rule using a machine learning (ML) model. ### Claim 12 (depends on 9) The non-transitory computer program product of claim 9, wherein the user is barred from providing additional offers for the target product for a pre-determined period of time. ### Claim 13 (depends on 9) The non-transitory computer program product of claim 9, wherein the one or more intelligent offer rules designate a first one or more offer characteristics for which the intelligent offer is automatically accepted without human intervention and a second one or more offer characteristics for which the intelligent offer is rejected without human intervention. ### Claim 14 (depends on 13) The non-transitory computer program product of claim 13, wherein the one or more intelligent offer rules further designate a third one or more offer characteristics for which the intelligent offer is evaluated using an ML model. ### Claim 15 A system, comprising: one or more processors; and one or more memories storing a program, which, when executed on any combination of the one or more processors, performs operations, the operations comprising: enabling intelligent offers for a target product; identifying one or more intelligent offer rules for the target product; receiving, from a user over a communication network, an offer for the target product; and validating the offer for the target product using the one or more intelligent offer rules, comprising: determining to accept the offer for the target product based on comparing the intelligent offer rules to one or more characteristics of the offer; and accepting the offer, wherein the offer for the target product is the sole offer from the user for the target product, and wherein the determining to accept the offer for the target product is based on the sole offer from the user for the target product. ### Claim 16 (depends on 15) The system of claim 15, wherein the one or more intelligent offer rules are generated automatically, without human intervention, based on information provided by a merchant for the target product. ### Claim 17 (depends on 16) The system of claim 16, wherein a first intelligent offer rule, of the one or more intelligent offer rules, is generated by inferring the offer rule using a machine learning (ML) model. ### Claim 18 (depends on 15) The system of claim 15, wherein the user is barred from providing additional offers for the target product for a pre-determined period of time. ### Claim 19 (depends on 15) The system of claim 15, wherein the one or more intelligent offer rules designate a first one or more offer characteristics for which the intelligent offer is automatically accepted without human intervention and a second one or more offer characteristics for which the intelligent offer is rejected without human intervention. ### Claim 20 (depends on 19) The system of claim 19, wherein the one or more intelligent offer rules further designate a third one or more offer characteristics for which the intelligent offer is evaluated using an ML model.