Square, Inc.

Block, Inc.

Logan Johnson

Bruce Bell

Matthew T Kursmark

Brian Partridge

Ghassan Abu-Ghaida

James Lintern

Raymond John Ryan

James F Butts, Iii

Jason Holmes

Kevin Yien

Alexey Kalinichenko

Nicholas Dower

Jotham M Taylor, Iii

Jotham Taylor, Iii

Ray Ryan

A service provider system may store buyer information and merchant information related to past purchasing history of one or more buyers. In some examples, based in part on the buyer information and/or the merchant information the service provider system may identify items that the buyer regularly or habitually purchases. In some cases, the service provider system may pre-order or pre-purchase the items on behalf of the buyer and send a message to a device associated with the buyer to inform the buyer that an order for the regularly purchased item has been placed.

Automatic order generation using trained model

Systems and methods for automatically modifying a user interface of a mobile computing device in a restaurant are described. In examples, the techniques include identifying selectable icons to display on the user interface, each of which represents an item offered for sale. The mobile computing device may comprise a first sensor for determining a location of the mobile computing device and a second sensor for determining environmental factors associated with the restaurant. At a first time and based on output of the first sensor, a location of the mobile computing device may be determined, and a set of selectable icons may be presented. Based at least in part on data from the second sensor, a change in environmental factor(s) may be determined. Based on the change in the second context, selectable icons may be dynamically modified and presented. The location and environmental factor(s) are determined without a user input.

Centralized restaurant management

An online order management service is configured to interface between merchants and order/delivery services so that a merchant can provide a catalog to multiple order/delivery services without having to communicate directly with the order/delivery services. A recommendation service is also provided to provide recommendations to merchants regarding which of multiple order/delivery services to use. The recommendation service bases its recommendations on historical order data that has been archived by the online order management service, as well as on known or derived merchant properties. The recommendation service may also recommend product items to be included in a catalog in order to improve sales results achieved when listing the catalog with any particular order/delivery service.

Application program interfaces for order and delivery service recommendations

Systems and methods comprising determining a first user in proximity to a point of sale (POS) device of a second user, the POS device having detected an identity of the first user and a number of devices associated with the POS device. The number of devices is compared to a baseline number of devices in proximity to the POS device, which is based on a time of day and calculated from a time period prior to the time of day. Based on a determination that the number differs from the baseline number by more than a threshold amount, data is generated that includes an indication configured to be displayed utilizing a client application executing on a device of the first user, wherein user interaction with the indication enables the user to at least one of initiate or modify a transaction with the second user.

Dynamic adjustment of item fulfillment times

Techniques and arrangements of a point-of-sale (POS) system including a transaction interface control mechanism configured to prevent simultaneous input by a merchant and a customer during a transaction. The POS system can include a merchant user interface (UI) presented on a merchant-facing display and a customer UI presented on a customer-facing display. In some instances, the merchant UI can be on a display of a merchant device, while the customer UI can be on a display of a customer device. In such instances, the merchant device and the customer device can be operably connected via a wired or wireless connection.

Transaction interface control

Predicting orders from buyer behavior

Described herein is a centralized order computing system that is configured to receive orders from a plurality of sources. The plurality of sources can include delivery applications, remote customer computing devices, and/or service computing devices associated with a merchant. The centralized order computing system may be configured to receive a plurality of orders from the plurality of sources, send the plurality of orders to a kitchen computing system associated with the merchant, receive a notification of order completion, and process the order.

Techniques and arrangements for dynamically adjusting activity metrics and merchant states based, in part, on how many mobile electronic devices are currently located at the merchant. For example, if a number of mobile electronic devices is greater than a history of a number of devices, then it may be determined that the merchant is busy. If the number is less than the history of the number of devices, then it may be determined that the merchant is not busy.

Dynamic adjustment of activity metrics and merchant states

Techniques and arrangements for dynamically modifying a user interface on a computing device of a point-of-sale (POS) system based on a merchant inventory. The user interface can include one or more icons corresponding to selectable items provided by the merchant, such as those available in the merchant inventory. A modification to the user interface can include an adjustment to a visual appearance of an icon and/or a replacement of an icon with another icon based on an analysis of the merchant inventory.

Dynamically modifiable user interface

Techniques and arrangements for dynamically modifying a user interface on a computing device of a point-of-sale (POS) system based on a location of the computing device. The location can be associated with a functionality of the user interface. The user interface can include one or more icons corresponding to selectable items that correspond to the functionality. A modification to the user interface can include an adjustment to a visual appearance of an icon and/or a replacement of an icon with another icon.

Techniques and arrangements for dynamically modifying a user interface on a computing device of a point-of-sale (POS) system based on contextual data. The contextual data can include one or more contextual factors surrounding the use of the computing device. The user interface can include one or more icons corresponding to selectable items based on the contextual data. A modification to the user interface can include an adjustment to a visual appearance of an icon and/or a replacement of an icon with another icon.

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Brooklyn, NY, United States of America

Logan Johnson