Abstract: Batch-processing of open tabs associated with one or more customers of a merchant is described. User data associated with a user may be identified. Based on the user data, a determination may be made that batch-processing of transactions of the user has been authorized. A tab data structure specific to the user and a merchant may be generated. The tab data structure may store transaction data associated with transaction of the user. Occurrence of an event may be detected, and in response, at least a portion of the transactions stored in the tab data structure may be settled via a batch process. A payment instrument may be authorized for the portion of the transaction.

Abstract: Batch-processing of open tabs associated with one or more customers of a merchant is described. User data associated with a user may be identified. Based on the user data, a determination may be made that batch-processing of transactions of the user has been authorized. A tab data structure specific to the user and a merchant may be generated. The tab data structure may store transaction data associated with transaction of the user. Occurrence of an event may be detected, and in response, at least a portion of the transactions stored in the tab data structure may be settled via a batch process. A payment instrument may be authorized for the portion of the transaction.

Abstract: Batch-processing of open tabs associated with one or more customers of a merchant is described. An identifier and/or payment instrument associated with the customer may be determined and a tab data structure associated with a customer may be created. The tab data structure may be configured to store interactions between the customer and the merchant. Details of transactions between the customer and the merchant may be stored while the tab remains open. In response to determining that an event has occurred, the open tab(s) may be closed and the stored transactions may be processed via a batch-processing technique. In this way, the open tabs associated with the customer and/or the merchant may be processed in batch, thereby reducing the level of interaction and resources required of the merchant and customer to process tabs individually and reducing the amount of delayed and/or lost funds.

Abstract: Intelligent management of authorization requests is described. A payment processing service can receive transaction data associated with a purchase transaction, wherein the transaction data includes an identifier of a payment instrument associated with the purchase transaction. The payment processing service can determine, based at least in part on application of a predictive model to the transaction data, a classification associated with the purchase transaction. A user interface can be presented by the payment processing service via a display of a user device, wherein the user interface includes information associated with the purchase transaction and an indicator of the classification.

Abstract: Intelligent management of authorization requests are described. A server of a payment processing service can receive an authorization request to authorize a payment instrument for a predicted cost of a transaction between a first user and a second user. The server can compare the predicted cost of the transaction with an available balance of the payment instrument and determine that the available balance is less than the predicted cost of the transaction. Based on determining that the available balance is less than the predicted cost of the transaction, the server can determine that the payment instrument is not authorized for the predicted cost of the transaction and can authorize the transaction instead of declining the transaction based at least in part on a prediction of the actual cost of the transaction.

Abstract: Intelligent management of authorization requests are described. A server of a payment processing service can receive an authorization request to authorize a payment instrument for a predicted cost of a transaction between a first user and a second user. The server can compare the predicted cost of the transaction with an available balance of the payment instrument and determine that the available balance is less than the predicted cost of the transaction. Based on determining that the available balance is less than the predicted cost of the transaction, the server can determine that the payment instrument is not authorized for the predicted cost of the transaction and can authorize the transaction instead of declining the transaction based at least in part on a prediction of the actual cost of the transaction.

Abstract: Intelligent management of authorization requests are described. A server of a payment processing service can receive an authorization request to authorize a payment instrument for a predicted cost of a transaction between a first user and a second user. The server can compare the predicted cost of the transaction with an available balance of the payment instrument and determine that the available balance is less than the predicted cost of the transaction. Based on determining that the available balance is less than the predicted cost of the transaction, the server can determine that the payment instrument is not authorized for the predicted cost of the transaction and can authorize the transaction instead of declining the transaction based at least in part on a prediction of the actual cost of the transaction.

Abstract: Batch-processing of open tabs associated with one or more customers of a merchant is described. An identifier and/or payment instrument associated with the customer may be determined and a tab data structure associated with a customer may be created. The tab data structure may be configured to store interactions between the customer and the merchant. Details of transactions between the customer and the merchant may be stored while the tab remains open. In response to determining that an event has occurred, the open tab(s) may be closed and the stored transactions may be processed via a batch-processing technique. In this way, the open tabs associated with the customer and/or the merchant may be processed in batch, thereby reducing the level of interaction and resources required of the merchant and customer to process tabs individually and reducing the amount of delayed and/or lost funds.

Abstract: Batch-processing of open tabs associated with one or more customers of a merchant is described. An identifier and/or payment instrument associated with the customer may be determined and a tab data structure associated with a customer may be created. The tab data structure may be configured to store interactions between the customer and the merchant. Details of transactions between the customer and the merchant may be stored while the tab remains open. In response to determining that an event has occurred, the open tab(s) may be closed and the stored transactions may be processed via a batch-processing technique. In this way, the open tabs associated with the customer and/or the merchant may be processed in batch, thereby reducing the level of interaction and resources required of the merchant and customer to process tabs individually and reducing the amount of delayed and/or lost funds.