Block, Inc.

Square, Inc.

Drew Richards

Katherine Swett

Vitaly Odemchuk

Xuanhua Ren

Neil Straghalis

Bo Han

Wael Al-Sallami

Christine Loh

John O'Brien-Carelli

Medum Choe

Lisa Fong

Katherine Ahn

David Pearson

Techniques described herein are directed to centralized brand asset management. In an example, a first computing device associated with a first point-of-sale (POS) service can receive an instruction to update a web page of a merchant, wherein the instruction to update the web page of the merchant changes a brand asset of the merchant. The first computing device can send a request to update the brand asset of the merchant to a centralized data storage storing one or more brand assets of one or more merchants. The centralized data storage can update the brand asset to an updated brand asset, which can be available to at least a second computing device associated with a second POS service. The second POS service can update a respective POS service feature based on the updated brand asset.

Centralized brand asset management

Integrating an image capturing mechanism into an ecommerce application is described. Images of items offered for sale via ecommerce channels associated with an ecommerce service provider and performance metrics associated with the images and/or content items with which the images are presented via the ecommerce channels can be analyzed. Based partly on the analyzing, a characteristic associated with the images that are associated with a performance metric that satisfies a threshold or that are presented by the content items that are associated with the performance metric that satisfies the threshold can be determined. A new image of an item to be offered for sale by a merchant via an ecommerce channel can be received and, based at least partly on the characteristic, it can be determined whether to integrate the new image into a content item for the merchant, wherein the content item to be presented via the ecommerce channel.

Integration of image capturing mechanism into ecommerce application

Customer-device application sites (e.g., content presented via a progressive web applications) that are accessible via merchant-managed identifiers (e.g., identification codes) are described. An identification of a physical location associated with a merchant can be associated with an identification code. The identification code can be received from a computing device of a customer and, based at least in part on receiving the identification code, merchant data associated with the merchant can be caused to be presented via a web browser of the computing device of the customer. In an example, the merchant data can be presented via the web browser by a progressive web application downloaded onto the computing device of the customer via the web browser. An indication of an input received via the progressive web application can be received by the computing device of the customer and an operation based at least in part on the input can be performed.

Customer-device application sites accessible via merchant-managed identifiers

Onboarding via image procurement is described. In an example, an image of an item to be integrated into a forthcoming content item to be presented via an ecommerce channel associated with an ecommerce service provider is received. An inactive content item, including at least the image of the item, can be generated for the merchant. Responsive to determining that the merchant has claimed the inactive content item, (i) a state of the inactive content item can be modified to an active content item and (ii) the active content item can be caused to be presented via the ecommerce channel to enable the merchant to offer at least the item for sale.

Onboarding via image procurement process

Using combined eCommerce and brick-and-mortar data to produce intelligent recommendations for web page operation is described. In an example, a request to access an eCommerce GUI presented on behalf of a merchant can be received from a device operable by a viewer. Brick-and-mortar point-of-sale (POS) transaction data associated with one or more customers that transact with the merchant or one or more other merchants that utilize the payment processing service to process brick-and-mortar POS transactions can be used to determine a variation of the eCommerce GUI presented on behalf of the merchant to present to the viewer. Instructions for rendering the variation of eCommerce GUI can be sent to the device operable by the viewer.

Using combined ecommerce and brick-and-mortar data to produce intelligent recommendations for web page operation

Using combined eCommerce and brick-and-mortar data to produce intelligent recommendations for website editing is described. In an example, brick-and-mortar transaction data associated with a first merchant and second merchant(s) can be compared to identify a subset of the second merchant(s) that are similar to the first merchant. Performance metrics associated with eCommerce graphical user interfaces (GUIs) presented on behalf of the subset of the second merchant(s) can be determined based on aggregated transaction data associated with eCommerce point-of-sale (POS) transactions associated with the subset of the second merchant(s) and a recommendation based on content, a layout, and/or a design of at least a portion of the eCommerce GUIs can be generated. The recommendation can be sent to a computing device operable by the first merchant for use in creating or editing an eCommerce GUI to be presented on behalf of the first merchant.

Growing community of inventors

Brooklyn, NY, United States of America

Drew Richards