Patent ID: 11935054
Assignee: WALMART APOLLO, LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause a computing device to perform operations comprising:
receiving data related to a plurality of customer transactions, wherein the data includes one or more of customer computing device information, profile change information, risk rating information, and check flag information for each of the plurality of customer transactions;
calculating a negative reaction score, a negative resolution score, an anomaly score, and an impact score for at least one value of the respective customer computing device information, the respective profile change information, the respective risk rating information, and the respective check flag information for each of the plurality of customer transactions;
determining whether the calculated negative reaction score is greater than or equal to a first threshold, whether the calculated negative resolution score is greater than or equal to a second threshold, and whether the calculated anomaly score is equal to a third threshold for each of the plurality of customer transactions;
identifying the at least one value of the respective customer computing device information, the respective profile change information, the respective risk rating information, and the respective check flag information as a potentially fraudulent data value when one or more of the calculated negative reaction score is greater than or equal to the first threshold, the calculated negative resolution score is greater than or equal to the second threshold, and the calculated anomaly score is equal to the third threshold;
generating an output comprising a list of one or more identified potentially fraudulent data values and the respective calculated impact score for each identified potentially fraudulent data value;
identifying one or more areas of high impact leaks based on the output; and
determining which of a plurality of customer computing devices are executing fraudulent transactions based on the identification of one or more areas of high impact leaks.