Abstract: In some examples, a predictive model is trained to determine account balances over which funds in user accounts are predicted to be surplus. Data of a first account of a user is input into the trained predictive model to determine a balance over which a portion of funds in the first account are predicted to be surplus funds for a period of time. A user device of the user presents a user interface that indicates predicted expenses and predicted income for a plurality of periods of time including the period of time. The user interface further indicates the surplus funds for the period of time and includes an interactive element for indicating disposition of the surplus funds. Based on receiving, via the user interface, an indication of an action to perform with respect to the surplus funds, at least one instruction is sent for performing the indicated action.

Abstract: In some examples, a system may receive transaction data indicating payments into a first account over time and payments out of the first account over time, the first account associated with a user. In addition, the system may access a data structure including historical account data that indicates variations in a balance of the first account over time. The system may determine an indicated minimum balance for the first account based on inputting the transaction data and the historical account data into a first predictive model configured to predict a minimum balance for enabling predicted payments out of a user account. The system may determine, based on a difference between a current balance of the first account and the predicted minimum balance for the first account, that the first account has a surplus of funds. Based at least on the surplus, the system may send an instruction.

Abstract: This disclosure describes, in part, techniques for automating transfers of funds from a deposit account of a user to a savings account of the user based on historical transaction data associated with the deposit account. Using historical deposits and withdrawals from the deposit account, a prediction may be made regarding deposits to, and withdrawals from, the deposit account that will occur in a future period. Based on that that information and a balance to maintain in the deposit account for the duration of the future period, the amount of funds to transfer from the deposit account to the savings account may be determined. The techniques may further include transferring the funds to the savings account once determined.

Abstract: In some examples, a payment processing system may receive identity information identifying a buyer interested in purchasing an item from a first merchant. The system may determine, based on the identity information and item information, that the buyer is eligible for financing the purchase of the item. The system may generate a customized financing offer for the buyer to finance at least a portion of the purchase price of the item. For example, the customized financing offer may include financing terms and may be based on previous financing activity of the buyer with one or more merchants associated with the payment processing system, and/or previous financing activity associated with one or more buyers that have financed the item from one or more merchants. The payment processing system may transmit the customized financing offer to cause a user interface to present the customized financing offer to the buyer.

Abstract: In some examples, a system may receive transaction data indicating payments into a first account over time and payments out of the first account over time, the first account associated with a user. In addition, the system may access a data structure including historical account data that indicates variations in a balance of the first account over time. The system may determine an indicated minimum balance for the first account based on inputting the transaction data and the historical account data into a first predictive model configured to a predict a minimum balance for enabling predicted payments out of a user account. The system may determine, based on a difference between a current balance of the first account and the predicted minimum balance for the first account, that the first account has a surplus of funds. Based at least on the surplus, the system may send an instruction.

Abstract: This disclosure describes, in part, techniques for generating predictive models based on past transaction data and/or future-event data to predict: (i) when an account of user is expected to fall below a minimum balance associated with that user, and/or (ii) when an account has surplus funds that may safely be moved to a higher-yield account for some amount of time. In response to determining a predicted time at which an account is expected to fall below the minimum balance, the techniques may generate an offer to extend capital to the user prior to the predicted time. In response to determining that a user has or will have surplus funds, the techniques may generate an offer to move some or all of these surplus funds into a separate account providing a higher yield than the primary account of the user.

Abstract: This disclosure describes, in part, techniques for generating predictive models based on past transaction data and/or future-event data to predict: (i) when an account of user is expected to fall below a minimum balance associated with that user, and/or (ii) when an account has surplus funds that may safely be moved to a higher-yield account for some amount of time. In response to determining a predicted time at which an account is expected to fall below the minimum balance, the techniques may generate an offer to extend capital to the user prior to the predicted time. In response to determining that a user has or will have surplus funds, the techniques may generate an offer to move some or all of these surplus funds into a separate account providing a higher yield than the primary account of the user.

Abstract: This disclosure describes, in part, techniques for generating predictive models based on past transaction data and/or future-event data to predict: (i) when an account of user is expected to fall below a minimum balance associated with that user, and/or (ii) when an account has surplus funds that may safely be moved to a higher-yield account for some amount of time. In response to determining a predicted time at which an account is expected to fall below the minimum balance, the techniques may generate an offer to extend capital to the user prior to the predicted time. In response to determining that a user has or will have surplus funds, the techniques may generate an offer to move some or all of these surplus funds into a separate account providing a higher yield than the primary account of the user.

Abstract: In some examples, a payment processing system may receive identity information identifying a buyer and an indication of a buyer interest in purchasing an item from a first merchant. The system may determine, based on the identity information and item information, that the buyer is eligible for financing the purchase of the item. The system may generate a customized financing offer for the buyer to finance the purchase price of the item. For example, the customized financing offer may include financing terms and may be based on previous financing activity of the buyer with one or more merchants associated with the payment processing system, and/or previous financing activity associated with one or more buyers that have financed the item from the first merchant. The payment processing system may transmit the customized financing offer to cause a user interface to present the customized financing offer to the buyer.

Abstract: In some examples, a payment processing system may receive, from a plurality of merchant POS terminals, transaction information of transactions performed between a plurality of merchants and a plurality of buyers. Further, the system may receive, from a first buyer, a request to finance a purchase of an item at a first merchant. The system may determine, based at least in part on the transaction information, financing terms for the first buyer for purchasing the item from the first merchant, the financing terms may include an approved financed amount for making the purchase from the first merchant. The system may receive an acceptance of the terms from the buyer and may generate a payment code associated with the financing terms and the first merchant that enables the customer to finance the purchase with the first merchant, such as at a POS terminal of the first merchant.

Abstract: A needle system comprising a lancet or syringe having multiple thin needles for accessing bodily fluids so as to inflict less pain and promote faster healing.

Abstract: A puncturing needle device has multiple (2 or more) thin needles which are mounted onto a body part or a syringe. The combination of thinness and multitude of needle can minimize pain while drawing or injecting sufficient amount of liquid such as blood or liquid drug. The needles can be different in their length.