Single entry combined functionality

Abstract

Computer-implemented methods are provided for receiving information corresponding to a transaction, wherein the information is received via a single processing of an instrument. A balance for the transaction is automatically determined based on a coverage plan associated with the information from the instrument and services associated with the transaction. Upon detecting selection of an account for the balance, an amount from the account is allocated for the balance and is provided to complete the transaction.

1 . (canceled) 
     
     
         2 . A computer-implemented method, comprising:
 receiving a request for coverage, wherein the request includes information corresponding to a user and historical data corresponding to prior expenses associated with the user;   training a machine learning model to provide recommendations for coverage plans and for establishing lines of credit, wherein the machine learning model is trained using a dataset including information and historical expenses corresponding to other users;   using the information corresponding to the user and the historical data as input to the machine learning model to obtain a recommendation for one or more coverage plans and a recommendation for establishing a line of credit;   receiving a selection corresponding to a coverage plan from the one or more coverage plans and an application for the line of credit, wherein when the application for the line of credit is approved, the line of credit is associated with coverage plan;   issuing a payment instrument, wherein the payment instrument incorporates data associated with the coverage plan and the line of credit, and wherein the data is made available via a single processing of the payment instrument when the payment instrument is introduced through a point-of-sale system; and   updating the machine learning model, wherein the machine learning model is updated based on transactions completed using the payment instrument.   
     
     
         3 . The computer-implemented method of  claim 2 , wherein the coverage plan is associated with a coverage entity and the line of credit is associated with a payment entity, and wherein the coverage entity and the payment entity are different entities. 
     
     
         4 . The computer-implemented method of  claim 2 , wherein the recommendation for the one or more coverage plans and the recommendation for establishing the line of credit include a forecast of future expenses corresponding to the user. 
     
     
         5 . The computer-implemented method of  claim 2 , further comprising:
 performing a soft credit inquiry of a credit report associated with the user, wherein the soft credit inquiry is performed using the information corresponding to the user.   
     
     
         6 . The computer-implemented method of  claim 2 , wherein:
 an amount associated with the line of credit does not exceed a maximum deductible of the coverage plan; and   the computer-implemented method further comprises recommending establishment and funding of a health spending account (HSA).   
     
     
         7 . The computer-implemented method of  claim 2 , wherein:
 the information corresponding to the user includes routing and account information associated with a savings account; and   the computer-implemented method further comprises associating the routing and account information associated with the saving account with the line of credit.   
     
     
         8 . The computer-implemented method of  claim 2 , further comprising:
 providing an option to establish a savings account, wherein when the option is selected, the saving account is established and associated with the line of credit and the coverage plan.   
     
     
         9 . A system, comprising:
 one or more processors; and   memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to:
 receive a request for coverage, wherein the request includes information corresponding to a user and historical data corresponding to prior expenses associated with the user; 
 train a machine learning model to provide recommendations for coverage plans and for establishing lines of credit, wherein the machine learning model is trained using a dataset including information and historical expenses corresponding to other users; 
 use the information corresponding to the user and the historical data as input to the machine learning model to obtain a recommendation for one or more coverage plans and a recommendation for establishing a line of credit; 
 receive a selection corresponding to a coverage plan from the one or more coverage plans and an application for the line of credit, wherein when the application for the line of credit is approved, the line of credit is associated with coverage plan; 
 issue a payment instrument, wherein the payment instrument incorporates data associated with the coverage plan and the line of credit, and wherein the data is made available via a single processing of the payment instrument when the payment instrument is introduced through a point-of-sale system; and 
 update the machine learning model, wherein the machine learning model is updated based on transactions completed using the payment instrument. 
   
     
     
         10 . The system of  claim 9 , wherein the coverage plan is associated with a coverage entity and the line of credit is associated with a payment entity, and wherein the coverage entity and the payment entity are different entities. 
     
     
         11 . The system of  claim 9 , wherein the recommendation for the one or more coverage plans and the recommendation for establishing the line of credit include a forecast of future expenses corresponding to the user. 
     
     
         12 . The system of  claim 9 , wherein the instructions further cause the system to:
 perform a soft credit inquiry of a credit report associated with the user, wherein the soft credit inquiry is performed using the information corresponding to the user.   
     
     
         13 . The system of  claim 9 , wherein:
 an amount associated with the line of credit does not exceed a maximum deductible of the coverage plan; and   the instructions further cause the system to recommend establishment and funding of a health spending account (HSA).   
     
     
         14 . The system of  claim 9 , wherein:
 the information corresponding to the user includes routing and account information associated with a savings account; and   the instructions further cause the system to associate the routing and account information associated with the saving account with the line of credit.   
     
     
         15 . The system of  claim 9 , wherein the instructions further cause the system to:
 provide an option to establish a savings account, wherein when the option is selected, the saving account is established and associated with the line of credit and the coverage plan.   
     
     
         16 . A non-transitory, computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to:
 receive a request for coverage, wherein the request includes information corresponding to a user and historical data corresponding to prior expenses associated with the user;   train a machine learning model to provide recommendations for coverage plans and for establishing lines of credit, wherein the machine learning model is trained using a dataset including information and historical expenses corresponding to other users;   use the information corresponding to the user and the historical data as input to the machine learning model to obtain a recommendation for one or more coverage plans and a recommendation for establishing a line of credit;   receive a selection corresponding to a coverage plan from the one or more coverage plans and an application for the line of credit, wherein when the application for the line of credit is approved, the line of credit is associated with coverage plan;   issue a payment instrument, wherein the payment instrument incorporates data associated with the coverage plan and the line of credit, and wherein the data is made available via a single processing of the payment instrument when the payment instrument is introduced through a point-of-sale system; and   update the machine learning model, wherein the machine learning model is updated based on transactions completed using the payment instrument.   
     
     
         17 . The non-transitory, computer-readable storage medium of  claim 16 , wherein the coverage plan is associated with a coverage entity and the line of credit is associated with a payment entity, and wherein the coverage entity and the payment entity are different entities. 
     
     
         18 . The non-transitory, computer-readable storage medium of  claim 16 , wherein the recommendation for the one or more coverage plans and the recommendation for establishing the line of credit include a forecast of future expenses corresponding to the user. 
     
     
         19 . The non-transitory, computer-readable storage medium of  claim 16 , wherein the executable instructions further cause the computer system to:
 perform a soft credit inquiry of a credit report associated with the user, wherein the soft credit inquiry is performed using the information corresponding to the user.   
     
     
         20 . The non-transitory, computer-readable storage medium of  claim 16 , wherein:
 an amount associated with the line of credit does not exceed a maximum deductible of the coverage plan; and   the executable instructions further cause the computer system to recommend establishment and funding of a health spending account (HSA).   
     
     
         21 . The non-transitory, computer-readable storage medium of  claim 16 , wherein:
 the information corresponding to the user includes routing and account information associated with a savings account; and   the executable instructions further cause the computer system to associate the routing and account information associated with the saving account with the line of credit.   
     
     
         22 . The non-transitory, computer-readable storage medium of  claim 16 , wherein the executable instructions further cause the computer system to:
 provide an option to establish a savings account, wherein when the option is selected, the saving account is established and associated with the line of credit and the coverage plan.