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US 2021/0264433 A1Published application
Method for improving operating profits with better automated decision making with artificial intelligence
AssigneeBrighterion, Inc.
InventorAkli Adjaoute
Life of this patent
Estimating the term…
Abstract
A business method to reverse an authorization request denial made according to general guidelines if the particular customer and the particular transaction pass various threshold tests. Alternatively, each customer is assigned different and independent personal thresholds for transaction types, amounts, times, locations, and context. These thresholds are then applied if an instant payment transaction request is about to be declined.
Claims20
At least one computer network server for supporting payment authorization services, the at least one server comprising:
- one or more processors;
- non-transitory computer-readable storage media having computer-executable instructions stored thereon, wherein when executed by the one or more processors the computer-readable instructions cause the one or more processors to—
- receive transaction data corresponding to a plurality of transactions associated with a plurality of transactional entities;
- compute a fraud score for each of the plurality of transactions at least in part by—
- inputting transaction data of the transaction to a classification model and a smart agent associated with the corresponding transactional entity to generate a first output from the smart agent and a second output from the classification model, the smart agent comprising a representation of historical data of the corresponding transactional entity and the classification model being constructed according to one or more of:
- data mining logic, a neural network, case-based-reasoning, clustering, fuzzy logic, a genetic algorithm, a decision tree, and business rules,
- analyzing the first output and the second output to generate the fraud score for the transaction;
- compute a profitability score for each of the plurality of transactional entities;
- determine that the fraud score corresponding to an increased risk transaction of the plurality of transactions exceeds a first threshold representing an increased likelihood of fraud;
- determine that the profitability score of a profitable transaction entity of the plurality of transactional entities exceeds a second threshold representing increased profitability;
- and
- based on the determinations of increased likelihood of fraud and increased profitability for the profitable transaction entity, issue a transaction approval message.
9 more elements
Non-transitory computer-readable storage media having computer-executable instructions for supporting payment authorization services, wherein when executed by at least one processor the computer-readable instructions cause the at least one processor to:
- receive transaction data corresponding to a plurality of transactions associated with a plurality of transactional entities;
- compute a fraud score for each of the plurality of transactions at least in part by—
- inputting transaction data of the transaction to a classification model and a smart agent associated with the corresponding transactional entity to generate a first output from the smart agent and a second output from the classification model, the smart agent comprising a representation of historical data of the corresponding transactional entity and the classification model being constructed according to one or more of:
- data mining logic, a neural network, case-based-reasoning, clustering, fuzzy logic, a genetic algorithm, a decision tree, and business rules,
- analyzing the first output and the second output to generate the fraud score for the transaction;
- compute a profitability score for each of the plurality of transactional entities;
- determine that the fraud score corresponding to an increased risk transaction of the plurality of transactions exceeds a first threshold representing an increased likelihood of fraud;
- determine that the profitability score of a profitable transaction entity of the plurality of transactional entities exceeds a second threshold representing increased profitability;
- and
- based on the determinations of increased likelihood of fraud and increased profitability for the profitable transaction entity, issue a transaction approval message.
7 more elements
A computer-implemented method for supporting payment authorization services comprising, via one or more transceivers and/or processors:
- receiving transaction data corresponding to a plurality of transactions associated with a plurality of transactional entities;
- computing a fraud score for each of the plurality of transactions at least in part by—
- inputting transaction data of the transaction to a classification model and a smart agent associated with the corresponding transactional entity to generate a first output from the smart agent and a second output from the classification model, the smart agent comprising a representation of historical data of the corresponding transactional entity and the classification model being constructed according to one or more of:
- data mining logic, a neural network, case-based-reasoning, clustering, fuzzy logic, a genetic algorithm, a decision tree, and business rules,
- analyzing the first output and the second output to generate the fraud score for the transaction;
- computing a profitability score for each of the plurality of transactional entities;
- determining that the fraud score corresponding to an increased risk transaction of the plurality of transactions exceeds a first threshold representing an increased likelihood of fraud;
- determining that the profitability score of a profitable transaction entity of the plurality of transactional entities exceeds a second threshold representing increased profitability;
- and
- based on the determinations of increased likelihood of fraud and increased profitability for the profitable transaction entity, issuing a transaction approval message.
7 more elements
Dependencies are inferred from the claim text.