Abstract: Aspects of this disclosure relate to a computer configured to identify potential customers which may include a processor and memory storing computer executable instructions that, when executed, cause the computer to perform a method for identifying potential customers for a first bank, by electronically receiving data regarding the first bank, electronically receiving data regarding a second bank. Further, based on the electronically received data the method may further include identifying locations of the first bank, identifying locations of the second bank, comparing the locations of the first bank with the locations of the second bank, determining locations of the second bank that are within a predetermined distance of at least one location of the first bank, determining an amount of funds in a set of deposit accounts in each location of the second bank, and determining if the amount of funds in each location of the second bank is more than a predetermined amount.

Abstract: Aspects of this disclosure relate to a potential-customer identifying computer which may include a processor and memory storing computer executable instructions that, when executed, cause the computer to perform a method for identifying potential customers for a first organization, by identifying financial accounts of the first organization wherein a customer associated with one of the respective financial accounts has made a payment on their respective financial account using a deposit account that the customer holds with a second organization. Further, the potential customer identifying computer may electronically retrieve, from a customer profile database, customer profile information for each of the financial accounts of the first organization and determine whether the customer profile information includes a bank routing number associated with the second organization.

Abstract: Aspects of the disclosure relate to assisting credit account holders during economic hardship. More specifically, aspects of the disclosure relate to systems and methods for providing a rebate of at least a portion of a finance charge applied to a credit account. Unlike certain prior art systems and methods, embodiments disclosed herein may benefit both the credit account holder as well as the financial institution that extends the credit account. In one embodiment, it may be determined that several credit accounts meet a threshold of probability of having a charge-off. In certain embodiments, the number of accounts that receive a rebate may be limited to a certain percentage of credit accounts with a non-zero balance.

Abstract: Systems, methods, and computer program products are provided for optimizing amounts collected in an offset action where a creditor garnishes funds from a debtor's deposits account to satisfy delinquent debt payments. In operation, embodiments of the present invention leverage a deposits account's transaction history to detect a deposit pattern for the account and, based on the detected pattern, predict the date of the next large deposit to the garnishable account. An offset associate, using the present invention, can then schedule the offset action to occur on the expected date of the next large deposit.

Abstract: Systems, methods, and computer program products are provided for an automated system for financial institution account management. The methods, systems and computer program products herein described allow the customer to link financial institution accounts and authorize a financial institution automatically and intuitively manage the linked accounts. Automated management includes managing the transfer of funds between accounts to ensure minimum balances, maximize rate of return and minimize the number of transfers between accounts.

Abstract: Systems, methods, and computer program products are provided for customer-defined financial institution account management rules associated with linked financial institution accounts. The methods, systems and computer program products herein described allow the customer to define rules that maximize the customer's rate of return and/or minimizing the likelihood of insufficient funding of an account leading to an overdraft. Thus, poor utilization of cash in terms of excessive balances in non-interest bearing accounts or low-interest bearing accounts is minimized by automatically transferring, based on a customer-defined rules, the funds to a higher rate of return account. Additionally, managing a primary payment account, such as a checking or bill account, is addressed so as to ensure that funds are sufficient to cover the customer's expenditures.

Abstract: Systems and methods for consumer participation in a marketing survey and for development of marketing solicitations by corporate clients based on consumer transactional/demographic data are described. An individual seeking to participate in a marketing survey may first choose to be included in a database containing many surveys that have been added by corporate sponsors. The system may select a willing consumer for participation in the survey based on predefined preferred data metrics. Upon participation, the consumer may also receive a reward in the form of a cash payment or gift, which the system may credit directly to the consumer's bank account and/or to the consumer's account with a corporate affiliate. In addition, the platform may be used to generate marketing contact lists based on consumer demographic and transactional data for a corporate client.

Abstract: Systems and methods that may determine whether to provide a resource to a consumer are disclosed. Further methods may allow distributing resources on an expedited basis or recheck previous determinations to provide a resource. In certain embodiment, resource transactions may be categorized. Illustrative categories may be organized by: investment, a non-investment expenditure, or income. In one embodiment, transactions categorized as non-investment expenditures may be categorized into subcategories, including necessities, discretionary, or debt. Calculations may be performed upon the categorized (and/or sub-categorized data). For example, one or more of the following ratios may be calculated: debt-to-income, investment-to-income, and expenditure-to-income. Ratios may be compared to one or more threshold values. Determinations of the threshold may consider information regarding other individuals' or business' resource transactions.

Abstract: Systems, methods, and computer program products are provided for optimizing amounts collected in an offset action where a creditor garnishes funds from a debtor's deposits account to satisfy delinquent debt payments. In operation, embodiments of the present invention leverage a deposits account's transaction history to detect a deposit pattern for the account and, based on the detected pattern, predict the date of the next large deposit to the garnishable account. An offset associate, using the present invention, can then schedule the offset action to occur on the expected date of the next large deposit.

Abstract: Apparatus and methods for processing a loan application. The apparatus and methods may involve accessing a financial institution customer account that includes a plurality of transactions; identifying those transactions that belong to a predetermined transaction category; and summarizing the transactions. Summary information may be presented as part of an income and expenses flow report that at least partially characterizes the account or the applicant. A financial institution representative may query a database for the summary information and, optionally, initiate an underwriting process based on the loan application and the summary information.

Abstract: Systems, methods, and computer program products are provided for optimizing amounts collected in an offset action where a creditor garnishes funds from a debtor's deposits account to satisfy delinquent debt payments. In operation, embodiments of the present invention leverage a deposits account's transaction history to detect a deposit pattern for the account and, based on the detected pattern, predict the date of the next large deposit to the garnishable account. An offset associate, using the present invention, can then schedule the offset action to occur on the expected date of the next large deposit.

Abstract: Apparatus and methods for evaluating risk of nonpayment for mobile payments. Wireless phone numbers with associated customer history and account information may be used as a proxy to determine risk of nonpayment. Risk scores may be continually updated with new purchase and payment information. In some embodiments, authorization for a point of sale transaction may include evaluation of the mobile wireless risk score. A low wireless number risk score may result in authorization of the transaction. A high wireless number risk score may result in denial of the transaction.