US2022051292A1PendingUtilityA1

Cognitive computing for generating targeted offers to inactive account holders

Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COPriority: May 5, 2016Filed: Oct 8, 2020Published: Feb 17, 2022
Est. expiryMay 5, 2036(~9.8 yrs left)· nominal 20-yr term from priority
G06Q 40/03G06N 7/01G06Q 20/3676G06Q 20/108G06Q 50/20G06Q 30/0261G06Q 30/0207G06F 17/18G06Q 30/0269H04W 4/02G06N 20/00G06Q 30/0267G06Q 30/0226G06Q 10/063112G06N 5/046G06N 5/04G06Q 30/0255G06Q 40/02G06Q 30/0205H04W 4/029G06Q 30/016
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Claims

Abstract

Techniques are disclosed utilizing cognitive computing to improve banking experiences. A user's financial account(s) and location may be monitored to predict when a user is near a retail store and the user has not used a particular account in a predetermined amount of time. The techniques disclosed include receiving a location for a user's mobile device, and determining when the mobile device is within a predetermined threshold distance of a retail store. The techniques include building a shopping profile for the user based upon shopping habits for the user. The shopping profile may be used to determine what commercial communications should be transmitted to the user to encourage them to utilize an inactive account to make a purchase at the retail store when the user is within the threshold distance of the retail store.

Claims

exact text as granted — not AI-modified
1 . A computer-implemented method, comprising:
 receiving, by one or more processors, a set of financial data profiles associated with a plurality of users;   determining, by the one or more processors, an inactive account time threshold, wherein the inactive account time threshold is a particular period of time, indicative of a financial account being inactive, determined based on one or more periods of time separating financial transactions indicated in the set of financial data profiles;   receiving, by the one or more processors, user financial transaction information associated with a plurality of accounts;   identifying, by the one or more processors, an inactive account of the plurality of accounts, wherein the inactive account is identified based on indications in the user financial transaction information that a user has not used the inactive account for a length of time greater than or equal to the inactive account time threshold;   receiving, by the one or more processors, location data indicating a location of a mobile device of the user;   determining, by the one or more processors, that the location is within a predetermined distance of a retail location of a merchant; and   based on determining that the location is within the predetermined distance, transmitting, by the one or more processors, a communication associated with the merchant to the mobile device, wherein the communication indicates a reward for using the inactive account to make a purchase with the merchant.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein the communication identifies a product offered for sale by the merchant. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein the communication indicates an amount of reward points to be awarded for using the inactive account to make the purchase within a specified period of time. 
     
     
         4 . The computer-implemented method of  claim 1 , wherein the reward for using the inactive account is an interest-free transaction associated with the purchase. 
     
     
         5 . The computer-implemented method of  claim 1 , wherein the one or more processors uses a predictive modeling application to determine the inactive account time threshold based on the one or more periods of time. 
     
     
         6 . The computer-implemented method of  claim 1 , further comprising:
 generating, by the one or more processors and based on the user financial transaction information, a shopping profile indicative of shopping habits of the user.   
     
     
         7 . The computer-implemented method of  claim 6 , further comprising:
 identifying, by the one or more processors, a product offered for sale by the merchant; and   determining, by the one or more processors and based on the shopping profile, that the product is of interest to the user,   wherein the communication is associated with the product.   
     
     
         8 . The computer-implemented method of  claim 7 , wherein the one or more processors uses a predictive modeling application to generate the shopping profile and to determine that the product is of interest to the user. 
     
     
         9 . The computer-implemented method of  claim 6 , further comprising:
 determining, by the one or more processors and based on the shopping profile, that the merchant is of interest to the user,   wherein the communication is transmitted based on determining that the location is within the predetermined distance and based on determining that the merchant is of interest to the user.   
     
     
         10 . The computer-implemented method of  claim 6 , further comprising selecting, by the one or more processors and based on the shopping profile, the communication from a set of communications associated with the merchant. 
     
     
         11 . The computer-implemented method of  claim 10 , wherein the shopping profile indicates at least one predicted life event associated with the user, and the one or more processors selects the communication based at least in part on the at least one predicted life event. 
     
     
         12 . A system, comprising:
 one or more processors;   memory storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
 receiving a set of financial data profiles associated with a plurality of users; 
 determining an inactive account time threshold, wherein the inactive account time threshold is a particular period of time, indicative of a financial account being inactive, determined based on one or more periods of time separating financial transactions indicated in the set of financial data profiles; 
 receiving user financial transaction information associated with a plurality of accounts; 
 generating, based on the user financial transaction information, a shopping profile indicative of shopping habits of a user; 
 identifying an inactive account of the plurality of accounts, wherein the inactive account is identified based on indications in the user financial transaction information that the user has not used the inactive account for a length of time greater than or equal to the inactive account time threshold; 
 determining that a mobile device associated with the user has entered an area defined by a geofence surrounding a retail location of a merchant; and 
 based on determining that the mobile device has entered the area, transmitting a communication associated with the merchant to the mobile device, wherein the communication indicates a reward for using the inactive account to make a purchase with the merchant. 
   
     
     
         13 . The system of  claim 12 , wherein the communication identifies a product offered for sale by the merchant and an amount of reward points to be awarded for using the inactive account to make the purchase of the product with the merchant. 
     
     
         14 . The system of  claim 12 , wherein the operations further comprise:
 identifying a product offered for sale by the merchant; and   determining, based on the shopping profile, that the product is of interest to the user,   wherein the communication is associated with the product.   
     
     
         15 . The system of  claim 12 , wherein the operations further comprise determining, based on the shopping profile, that the merchant is of interest to the user, wherein the communication is transmitted based on mobile device has entered the area and based on determining that the merchant is of interest to the user. 
     
     
         16 . The system of  claim 12 , wherein the shopping profile indicates at least one predicted life event associated with the user, and the operations further comprise selecting the communication based at least in part on the at least one predicted life event. 
     
     
         17 . A non-transitory, tangible computer-readable medium storing instructions thereon that, when executed by one or more processors, cause the one or more processors to:
 receive a set of financial data profiles associated with a plurality of users;   determine an inactive account time threshold, wherein the inactive account time threshold is a particular period of time, indicative of a financial account being inactive, determined based on one or more periods of time separating financial transactions indicated in the set of financial data profiles;   receive user financial transaction information associated with a plurality of accounts;   identify an inactive account of the plurality of accounts, wherein the inactive account is identified based on indications in the user financial transaction information that a user has not used the inactive account for a length of time greater than or equal to the inactive account time threshold;   determine that a mobile device associated with the user has entered an area defined by a geofence surrounding a retail location of a merchant; and   based on determining that the mobile device has entered the area, transmit a communication associated with the merchant to the mobile device, wherein the communication indicates a reward for using the inactive account to make a purchase with the merchant.   
     
     
         18 . The non-transitory, tangible computer-readable medium of  claim 17 , wherein the communication identifies a product offered for sale by the merchant. 
     
     
         19 . The non-transitory, tangible computer-readable medium of  claim 18 , wherein the instructions further cause the one or more processors to generate, based on the user financial transaction information, a shopping profile indicative of shopping habits of the user, wherein the shopping profile indicates that at least one of the merchant or the product is of interest to the user. 
     
     
         20 . The non-transitory, tangible computer-readable medium of  claim 17 , wherein the instructions further cause the one or more processors to:
 predict, based on the user financial transaction information, at least one predicted life event associated with the user; and   select, based on the at least one predicted life event, the communication from a set of communications associated with the merchant.

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