Abstract: In some examples, a computing device sends, to an application on a user device, item information to cause the application to present a user interface including information about items available from a merchant. In response to receiving a user input via the user interface to select an item from the merchant, the computing device determines that a likelihood that the item will be unavailable exceeds a threshold. The computing device sends a communication that causes the application to present a plurality of selectable options to indicate actions to perform when the item is unavailable. The computing device receives a request to place the order for the item, and an indication of the action to perform. In response to receiving a communication from the merchant device indicating that the item is unavailable, the computing device sends an instruction to the merchant device indicating the action to perform.

Abstract: In some examples, a computing device sends, to an application on a user device, item information to cause the application to present a user interface including information about items available from a merchant. In response to receiving a user input via the user interface to select an item from the merchant, the computing device determines that a likelihood that the item will be unavailable exceeds a threshold. The computing device sends a communication that causes the application to present a plurality of selectable options to indicate actions to perform when the item is unavailable. The computing device receives a request to place the order for the item, and an indication of the action to perform. In response to receiving a communication from the merchant device indicating that the item is unavailable, the computing device sends an instruction to the merchant device indicating the action to perform.

Abstract: In some examples, a computing device may receive, from a user device, user input indicating selection of a first item to place an order with a merchant. The computing device may analyze a plurality of transaction records for past orders to determine a likelihood that the first item will be unavailable for the order. The computing device may send a communication that causes the user interface on the user device to display a notification including a request for an action to perform in the event that the first item is unavailable. The computing device may receive a response including an instruction for the action to perform. The computing device may cause the order to be placed with the merchant. In response to receiving subsequently an indication from the merchant that the first item is unavailable, the computing device may send a communication to cause the action to be performed.

Abstract: Techniques for performing processing and providing notifications for potentially missing items of an order are described herein. Some implementations analyze data regarding previous orders to predict a level of risk that a current order will be delivered without an item. If an order is associated with a relatively high level of risk, a courier may be informed to check an order for an item when retrieving the order from the merchant. The courier may receive a notification to check the order when the courier arrives at the merchant's location.

Abstract: Techniques and arrangements for detecting potentially fraudulent transactions made on a point-of-sale (POS) device. In some instances, the POS device may upload a batch of authorization requests corresponding to transactions made on the POS device while the POS device was in an offline mode. A payment service may receive this batch and, as opposed to processing the entire batch, may select a subset for processing. After selecting the subset, the payment service may attempt to authorize payment instruments associated with each transaction of the subset. The payment service may then compare an amount of declined payment instruments to a threshold. If the amount is greater than the threshold, then the payment service may flag the subset and/or the batch as fraudulent and may refrain from processing further transactions of the batch.

Abstract: Techniques and arrangements for detecting potentially fraudulent transactions made on a point-of-sale (POS) device. In some instances, the POS device may upload a batch of authorization requests corresponding to transactions made on the POS device while the POS device was in an offline mode. A payment service may receive this batch and, as opposed to processing the entire batch, may select a subset for processing. After selecting the subset, the payment service may attempt to authorize payment instruments associated with each transaction of the subset. The payment service may then compare an amount of declined payment instruments to a threshold. If the amount is greater than the threshold, then the payment service may flag the subset and/or the batch as fraudulent and may refrain from processing further transactions of the batch.

Abstract: Techniques and arrangements for detecting potentially fraudulent transactions made on a point-of-sale (POS) device. In some instances, the POS device may upload a batch of authorization requests corresponding to transactions made on the POS device while the POS device was in an offline mode. A payment service may receive this batch and, as opposed to processing the entire batch, may select a subset for processing. After selecting the subset, the payment service may attempt to authorize payment instruments associated with each transaction of the subset. The payment service may then compare an amount of declined payment instruments to a threshold. If the amount is greater than the threshold, then the payment service may flag the subset and/or the batch as fraudulent and may refrain from processing further transactions of the batch.

Abstract: Techniques and arrangements for detecting potentially fraudulent transactions made on a point-of-sale (POS) device. In some instances, the POS device may upload a batch of authorization requests corresponding to transactions made on the POS device while the POS device was in an offline mode. A payment service may receive this batch and, as opposed to processing the entire batch, may select a subset for processing. After selecting the subset, the payment service may attempt to authorize payment instruments associated with each transaction of the subset. The payment service may then compare an amount of declined payment instruments to a threshold. If the amount is greater than the threshold, then the payment service may flag the subset and/or the batch as fraudulent and may refrain from processing further transactions of the batch.