Square, Inc.

Block, Inc.

Kathryne Hawthorne

Victor Tsou

Alan Fineberg

Damon McCormick

Zachary Brock

Mark Jen

Grace Huey Chen

Benjamin Hartard

Zachary Potter

This disclosure describes, in part, a payment service that associates customer profiles with an identifier of a payment instrument, and then uses the customer profiles to identify a customer that is using the payment instrument during a transaction with a merchant. For instance, in some examples, the payment service can identify preferences of customers using transaction information that includes an identifier for a payment instrument, and associate the preferences with respective customer profiles. The payment service can then receive transaction information associated with a transaction between a customer and a merchant, identify preferences of the customer using the transaction information, compare the preferences of the customer with preferences stored in the customer profiles, and identify the customer based on the comparing. The payment service can further generate a receipt for the transaction and send the receipt to contact information of the customer.

System-based detection of card sharing and fraud

Introduced is a technology for processing transactions on behalf of a merchant employing a legacy system, where the processing includes managing inventory data and bundle pricing data associated with transactions occurring at various point-of-sale (POS) devices that include both legacy and non-legacy POS devices. Briefly described, the technology involves a payment processing system (PPS) working in coordination with a legacy merchant system. The PPS includes a payment processing database system, a adapter module installed at the merchant system, and a payment processing engine installed at a cloud-based server system. The payment processing engine, via the adapter module, can receive the most up-to-date inventory data and bundle pricing rules from the legacy merchant system. Based on the bundle pricing rules, the payment processing engine can compute one or more minimum-price carts that apply pricing discounts to eligible items for transactions occurring at the POS device(s) associated with the PPS.

Cloud-based inventory and discount pricing management system

This disclosure describes, in part, cloud-based generation of receipts using transaction information. In some examples, a payment service can send receipt templates to a point-of-sale (POS) device of a merchant, receive an indication of a selected receipt template from the POS device, and associated the selected receipt template in a merchant profile of the merchant. The payment system can then receive transaction information from the POS device of the merchant, generate a receipt for the transaction using the selected receipt template associated with the merchant profile, and send data representing the receipt to the POS device. In some examples, the receipt template defines a layout of the receipt, text to include in the receipt, and one or more graphics to include in the receipt.

Cloud-based generation of receipts using transaction information

Techniques for generating serialized view models that are used for both debugging an application and application support. The techniques include executing an application, creating a view model associated with the application, the view model including information associated with a service provided by the application, and presenting a user interface associated with the view model. The techniques can further include identifying, while presenting the user interface, an error occurring with the application, capturing a stack trace corresponding to the error, capturing a process image of the view model, serializing the process image of the view model to generate a serialized view model, and sending the stack trace and the serialized view model to a service. The service can then use the stack trace and the serialized view model to debug the application.

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San Francisco, CA, United States of America

Kathryne Hawthorne