A system for a website building system server, the server having at least one processor and a memory, the system includes: an analyzer and updater to construct a promotional package for a user of the website building system according to at least editing history and/or business intelligence of a website belonging to the user, a channel determiner to determine the best mode of interface to present the promotional package to the user and a marketer to modify the website building system interface for the user according to the best mode of interface.

There are provided systems and methods for monitoring device application usage for completion of checkout data processing. A computing device may be utilized to perform one or more actions while utilizing an application executable by the device, including a browser application or merchant application that allows a user to view an online marketplace and purchase items in a transaction. Prior to checkout and transaction processing, the device may be used to browse items, and items may be added to a shopping cart. However, the device may not finish electronic transaction processing for the items, for example, where the device does not enter transaction processing details and/or navigates away from the items or cart. A service provider may utilize past actions to determine whether the action indicates that the device is abandoning use of the application, including electronic transaction processing. If so, an incentive may be provided to continue use.

A system and method determine rewards or other incentives for market participants submitting orders for financial instruments on a financial exchange. The system and method determine if orders submitted by one or more market participants are eligible for a reward or other incentive by identifying orders that are at a best bid or offer for a corresponding financial instrument. The system and method determine a number of eligible orders submitted by each of the one or more market participants and applies a reward or other incentive to a particular market participant with the most eligible orders or greatest aggregate size of eligible orders.

An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item. The machine learning model with the refined parameter(s) is then used by the autonomous item generation system to generate fabrication instructions and metadata for an additional item.

Systems and related methods of providing seamless transactions, including payments and promotion redemptions, are discussed herein. Some embodiments may provide for a system including a communication beacon and one or more servers. The communication beacon may be configured to communicate with consumer devices via a direct wireless connection when the consumer devices are within a wireless direct communicable range of the communication beacon. The one or more servers may be configured to associate the communication with a merchant and receive consumer presence data from the communication beacon such that consumer presence at the merchant may be determined. In response, the one or more servers may be configured to perform a seamless transaction on behalf the consumer that allows the consumer to provide payments or redeem promotions, among other things, simply by self-identifying with the merchant while carrying the consumer device.

A method for employing a browser extension in relation to extending a financing offer to a user may include monitoring browser activity of a user via the browser extension responsive to loading a web page. The method may further include determining a merchant identity associated with an online product or service based on the browser activity, determining a preauthorized loan amount for the financing offer to the user based on the merchant identity, and displaying an interface element associated with the financing offer on the web page.

The present disclosure relates to a system, method, and computer program for automatic coupon code fill in a mobile application. The system identifies a checkout page in a WebView of a mobile application and extracts field data from the checkout page. The system identifies a coupon code field and a cart total field from the field data. The system obtains one or more coupon code(s) and tests the one or more coupon code(s) in the checkout page. The one or more coupon code(s) are tested in the identified coupon code field to determine whether any of the coupon code(s) cause the value associated with the cart total field to decrease. In response to one or more coupon code(s) providing a reward on the checkout page, the system identifies a best coupon code, which it inserts in the identified coupon code field in the checkout page in the mobile application.

Systems and methods to integrate point of sale processing, online order processing, and supply chain and store management over the Internet. In one aspect, a central server provides point of sale, online order processing, and supply chain and store management functions via browser based interfaces. The system enables users to enter orders from remote locations for order fulfillment at brick and mortar retail locations, where the POS terminals configured based on the browser based interfaces can be changed into a self service mode to allow customers to place orders for themselves at the retail locations.

Systems and methods for using QR codes to track, monitor, and consolidate transactions are disclosed. In one embodiment, a system may receive a request from a first device to generate a first QR code associated with a first account. The system may generate the first QR code and send the first QR code to the first device. The system may receive a request from the first device to share a QR code with a second device. The system may update associated data to indicate a sharing of a QR code with the second device. The system may generate a second QR code associated with a second account of the second device and linked to the first account, so that use of the second QR code can be tracked and monitored. The system may send the second QR code to the second device.

Some embodiments described herein relate to a computer-implemented method that includes receiving an indication of text content and an indication of image content appearing on a webpage that offers a product for sale. A first trained machine learning classifier can be applied to the text content to produce a first classification of the product. A second trained machine learning classifier can be applied to the image content to produce a second classification. A trained combination machine learning classifier can be applied to the first classification and the second classification. The combination machine learning classifier can be configured to predict a third class of the product. A warranty can be defined and/or offered based on the third class of the product.