Systems and methods for optimizations involving insufficient funds (nsf) conditions

Abstract

Systems and methods for optimizations involving insufficient funds conditions are provided. An identification of a first account of a customer of a financial institution may be received by a financial system comprising one or more computers. The first account may be a deposit account at the financial institution. Interest income and non-interest income attributable to one or more of a plurality of accounts, including the first account, that the customer has with the financial institution may be analyzed by the financial system. Based at least in part on the analyzed interest income and non-interest income, a recommended next action associated with the first account may be determined by the financial system. The recommended next action may be associated with an actual or potential insufficient funds (NSF) condition associated with the first account.

What is claimed is: 
     
         1 . A system, comprising:
 at least one memory storing computer-executable instructions; and
 at least one processor configured to access the at least one memory and to execute the computer-executable instructions to: 
 identify a customer of a financial institution, wherein the customer is associated with a financial account at the financial institution; 
 identify financial account data corresponding to one or more financial accounts at the financial institution that are associated with the customer, wherein the one or more financial accounts comprise the financial account; 
 analyze the financial account data to determine a customer tolerance metric for the customer, wherein the customer tolerance metric is indicative of a tolerance associated with the customer for absorbing an actual or potential non-sufficient funds (NSF) fee assessed to the financial account; 
 identify one or more business rules for determining a recommended overdraft limit, wherein the one or more business rules comprise at least one of: i) a customizable business rule configured to be customized based at least in part on the customer tolerance metric or ii) a default business rule; and 
 execute the one or more business rules to determine the recommended overdraft limit for association with the financial account. 
   
     
     
         2 . The system of  claim 1 , wherein the customer tolerance metric is indicative of a ratio of one or more NSF fees assessed to at least one financial account of the one or more financial accounts to one or more deposits to the at least one financial account. 
     
     
         3 . The system of  claim 1 , further comprising:
 at least one network interface,   wherein the at least one processor is further configured to execute the computer-executable instructions to:   direct the at least network interface to transmit, to a system associated with the financial institution, a notification comprising information indicative of the recommended overdraft limit, wherein the notification comprises an instruction to associate the recommended overdraft limit with the financial account.   
     
     
         4 . The system of  claim 1 , further comprising:
 at least one network interface,   wherein the at least one processor is further configured to execute the computer-executable instructions to:   receive, via the at least one network interface, a request for the recommended overdraft limit, wherein the customer is identified based at least in part on customer identifying information included in the request.   
     
     
         5 . The system of  claim 1 , wherein the at least one processor is further configured to execute the computer-executable instructions to:
 identify, based at least in part on an analysis of at least a portion of the financial account data, a customer segment associated with the customer,   wherein the recommended overdraft limit is further determined based at least in part on the customer segment.   
     
     
         6 . The system of  claim 5 , wherein the at least one processor is configured to identify the customer segment by executing the computer-executable instructions to:
 analyze the at least a portion of the financial account data to determine a first value indicative of an estimate of interest income associated with the one or more financial accounts and a second value indicative of an estimate of non-interest income associated with the one or more financial accounts;   compare the first value and the second value to respective threshold values; and   associate the customer with the customer segment based at least in part on the comparing.   
     
     
         7 . The system of  claim 1 , wherein the at least one processor is further configured to execute the computer-executable instructions to:
 determine, based at least in part on an analysis of at least a portion of the financial account data, an attrition risk associated with the customer,   wherein the recommended overdraft limit is further determined based at least in part on the attrition risk.   
     
     
         8 . The system of  claim 7 , wherein the at least one processor is configured to determine the attrition risk by executing the computer-executable instructions to:
 determine a respective value for the customer for each of one or more customer attributes based at least in part on the analysis of the at least a portion of the financial account data;   provide each respective value as input to one or more predictive models;   receive output from the one or more predictive models; and   determine an attrition risk value indicative of the attrition risk associated with the customer based at least in the output received from the one or more predictive models.   
     
     
         9 . The system of  claim 1 , wherein the one or more business rules comprise the customizable business rule, and wherein the at least one processor is further configured to execute the computer-executable instructions to:
 customize the customizable business rule to generate a customized business rule based at least in part on at least one of: i) the customer tolerance metric, ii) a customer segment associated with the customer, iii) an attrition risk value associated with the customer, or iv) one or more data attributes associated with the customer.   
     
     
         10 . The system of  claim 1 , wherein at least one business rule of the one or more business rules specifies one or more customer tolerance metric thresholds, and wherein the at least one processor is configured to execute the at least one business rule by executing the computer-executable instructions to:
 compare the customer tolerance metric to at least one of the one or more customer tolerance metric thresholds to at least partially determine the recommended overdraft limit.   
     
     
         11 . The system of  claim 1 , wherein the at least one processor is configured to execute the one or more business rules by executing the computer-executable instructions to:
 determine that the financial account data comprises historical customer account data for at least a threshold period of time;   determine a base overdraft limit based at least in part on an analysis of the historical customer account data;   determine a risk profile associated with the customer based at least in part on the customer tolerance metric; and   determine the recommended overdraft limit based at least in part on the risk profile associated with the customer.   
     
     
         12 . The system of  claim 11 , wherein at least one of:
 i) the risk profile indicates that the customer is a high-risk customer and the recommended overdraft limit comprises the sum of the base overdraft limit and a variance associated with the initial overdraft limit,   ii) the risk profile indicates that the customer is a medium-risk customer and the recommended overdraft limit comprises only the base overdraft limit, or   iii) the risk profile indicates that the customer is a low-risk customer and the recommended overdraft limit comprises the difference between the base overdraft limit and the variance.   
     
     
         13 . A method, comprising:
 identifying, by a computerized financial system comprising one or more computers, a customer of a financial institution, wherein the customer is associated with a financial account at the financial institution;   identifying, by the computerized financial system, financial account data corresponding to one or more financial accounts at the financial institution that are associated with the customer, wherein the one or more financial accounts comprise the financial account;   analyzing, by the computerized financial system, the financial account data to determine a customer tolerance metric for the customer, wherein the customer tolerance metric is indicative of a tolerance associated with the customer for absorbing an actual or potential non-sufficient funds (NSF) fee assessed to the financial account;   identifying, by the computerized financial system, one or more business rules for determining a recommended overdraft limit, wherein the one or more business rules comprise at least one of: i) a customizable business rule configured to be customized based at least in part on the customer tolerance metric or ii) a default business rule; and   executing, by the computerized financial system, the one or more business rules to determine the recommended overdraft limit for association with the financial account.   
     
     
         14 . The method of  claim 13 , wherein the customer tolerance metric is indicative of a ratio of one or more NSF fees assessed to at least one financial account of the one or more financial accounts to one or more deposits to the at least one financial account. 
     
     
         15 . The method of  claim 13 , further comprising:
 transmitting, by the computerized financial system to a system associated with the financial institution, a notification comprising information indicative of the recommended overdraft limit, wherein the notification comprises an instruction to associate the recommended overdraft limit with the financial account.   
     
     
         16 . The method of  claim 13 , further comprising:
 identifying, by the computerized financial system and based at least in part on an analysis of at least a portion of the financial account data, a customer segment associated with the customer,   wherein the recommended overdraft limit is further determined based at least in part on the customer segment.   
     
     
         17 . The method of  claim 16 , wherein identifying the customer segment further comprises:
 analyzing, by the computerized financial system, the at least a portion of the financial account data to determine a first value indicative of an estimate of interest income associated with the one or more financial accounts and a second value indicative of an estimate of non-interest income associated with the one or more financial accounts;   comparing, by the computerized financial system, the first value and the second value to respective threshold values; and   associating, by the computerized financial system, the customer with the customer segment based at least in part on the comparing.   
     
     
         18 . The method of  claim 13 , further comprising:
 determining, by the computerized financial system and based at least in part on an analysis of at least a portion of the financial account data, an attrition risk associated with the customer,   wherein the recommended overdraft limit is further determined based at least in part on the attrition risk.   
     
     
         19 . The method of  claim 18 , wherein determining the attrition risk comprises:
 determining, by the computerized financial system, a respective value for the customer for each of one or more customer attributes based at least in part on the analysis of the at least a portion of the financial account data;   providing, by the computerized financial system, each respective value as input to one or more predictive models;   receiving, by the computerized financial system, output from the one or more predictive models; and   determining, by the computerized financial system, an attrition risk value indicative of the attrition risk associated with the customer based at least in the output received from the one or more predictive models.   
     
     
         20 . The method of  claim 13 , wherein the one or more business rules comprise the customizable business rule, the method further comprising:
 customizing, by the computerized financial system, the customizable business rule to generate a customized business rule based at least in part on at least one of: i) the customer tolerance metric, ii) a customer segment associated with the customer, iii) an attrition risk value associated with the customer, or iv) one or more data attributes associated with the customer.   
     
     
         21 . The method of  claim 13 , wherein executing the one or more business rules comprises:
 determining, by the computerized financial system, that the financial account data comprises historical customer account data for at least a threshold period of time;   determining, by the computerized financial system, a base overdraft limit based at least in part on an analysis of the historical customer account data;   determining, by the computerized financial system, a risk profile associated with the customer based at least in part on the customer tolerance metric; and   determining, by the computerized financial system, the recommended overdraft limit based at least in part on the risk profile associated with the customer.   
     
     
         22 . The method of  claim 22 , wherein at least one of:
 i) the risk profile indicates that the customer is a high-risk customer and the recommended overdraft limit comprises the sum of the base overdraft limit and a variance associated with the initial overdraft limit,   ii) the risk profile indicates that the customer is a medium-risk customer and the recommended overdraft limit comprises only the base overdraft limit, or   iii) the risk profile indicates that the customer is a low-risk customer and the recommended overdraft limit comprises the difference between the base overdraft limit and the variance.