TWO SIGMA INTELLIGENCE
First Claim
1. Apparatus for identifying misclassified customers in a customer database, the apparatus comprising:
- a receiver configured to receive information corresponding to a plurality of customers, wherein each of the plurality of customers are electronically classified as an individual customer in a database;
the receiver being further configured to receive information corresponding to a plurality of transactions, wherein each of the plurality of transactions corresponds to a transaction executed by one of the plurality of customers during a predetermined time period;
a processor configured to calculate a mean transaction value and a standard deviation from the mean transaction value, wherein the mean transaction value is calculated using the plurality of transactions;
the processor being further configured to identify a subset of customers included in the plurality of customers, wherein each of the customer included in the subset of customers are customers who have spent, during the predetermined time period, a total value of funds equal to or greater than a two sigma transaction value, wherein the two sigma transaction value is equal to the mean transaction value plus twice the standard deviation; and
the processor being further configured to modify at least a portion of the electronic classifications associated with the subset of customers, wherein the modification includes changing the individual customer classification to a small business classification.
1 Assignment
0 Petitions
Accused Products
Abstract
Apparatus for identifying misclassified customers in a customer database is provided. The apparatus may include a receiver configured to receive information corresponding to a plurality of customers and information corresponding to a plurality of transactions. The apparatus may additionally include a processor configured to calculate a mean transaction value and a standard deviation from the mean transaction value, wherein the mean transaction value is calculated using the plurality of transactions. The processor may be further configured to identify a subset of customers included in the plurality of customers and modify at least a portion of the electronic classifications of the subset of customers. The modification may include changing an individual customer classification to a small business or preferred customer classification.
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Citations
20 Claims
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1. Apparatus for identifying misclassified customers in a customer database, the apparatus comprising:
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a receiver configured to receive information corresponding to a plurality of customers, wherein each of the plurality of customers are electronically classified as an individual customer in a database; the receiver being further configured to receive information corresponding to a plurality of transactions, wherein each of the plurality of transactions corresponds to a transaction executed by one of the plurality of customers during a predetermined time period; a processor configured to calculate a mean transaction value and a standard deviation from the mean transaction value, wherein the mean transaction value is calculated using the plurality of transactions; the processor being further configured to identify a subset of customers included in the plurality of customers, wherein each of the customer included in the subset of customers are customers who have spent, during the predetermined time period, a total value of funds equal to or greater than a two sigma transaction value, wherein the two sigma transaction value is equal to the mean transaction value plus twice the standard deviation; and the processor being further configured to modify at least a portion of the electronic classifications associated with the subset of customers, wherein the modification includes changing the individual customer classification to a small business classification. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. One or more non-transitory computer-readable media storing computer-executable instructions which, when executed by a processor on a computer system, perform a method for identifying misclassified customers in a customer database, the method comprising:
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using a receiver to receive information corresponding to a plurality of customers; using the receiver to receive information corresponding to a plurality of transactions, wherein each of the plurality of transactions corresponds to a transaction executed by one of the plurality of customers during a predetermined time period; using a processor to calculate a mean transaction value and a standard deviation from the mean transaction value, wherein the mean transaction value is calculated using the plurality of transactions; and using the processor to identify a subset of customers included in the plurality of customers, wherein each of the customer included in the subset of customers are customers who have spent, during the predetermined time period, a total value of funds equal to or greater than a two sigma transaction value, wherein the two sigma transaction value is equal to the mean transaction value plus twice the standard deviation. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. Apparatus for identifying misclassified customers in a customer database, the apparatus comprising:
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a receiver configured to receive information corresponding to a plurality of customers; the receiver being further configured to receive information corresponding to a plurality of transactions, wherein each of the plurality of transactions corresponds to a transaction executed by one of the plurality of customers during a predetermined time period; a processor configured to calculate a mean transaction value and a standard deviation from the mean transaction value, wherein the mean transaction value is calculated using the plurality of transactions; and the processor being further configured to identify a subset of customers included in the plurality of customers, wherein each of the customer included in the subset of customers are customers who have spent, during the predetermined time period, a total value of funds equal to or greater than a two sigma transaction value, wherein the two sigma transaction value is calculated by the equation;
(mean transaction value)+2*(standard deviation)±
(adjustment value). - View Dependent Claims (17, 18, 19, 20)
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Specification