There are provided systems and methods for a communication device interface for merchant check-in and shopping notifications. A user may enter shopping preferences to a module of a communication device in order to receive notifications and alerts when items matching the shopping preferences are available with one or more merchants. A service provider may receive the shopping preferences with user attributes, such as a user location and/or account balance. The attributes may be determined using applications and/or modules of the communication device or through a check-in by the user at a location. The service provider may determine shopping notifications having purchase offers for the items from available merchants. The purchase offers may include offers to sell the items and discounts for the items. The shopping notifications may be displayed to the user using a user device interface, such as cells within an application or mobile device home screen.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.

A method for managing products in a refrigerator comprises the steps of: registering user information including a face image, in association with at least one vendor; after a refrigerator door is opened, photographing an external area around the refrigerator and then recognizing a user's face; while the door is closed after the opening of the refrigerator door, photographing the inside of a storage chamber of the refrigerator and processing the captured image to acquire product information of a product taken; storing the acquired product information of the taken product as a product use history, in association with the recognized user's face; and when receiving a user input, displaying a purchase recommendation product list per user with information of an associated vendor on the basis of the product use history. In an embodiment of the present invention, a refrigerator to which an IOT is applied may be provided.

Systems and methods for a collaborative offer portal is provided. A proposed offer is received from a manufacturer, including an offer structure and a number of consumers they wish to target. Transaction logs of a retailer are accessed to determine an audience for the offer by calculating a return on investment (ROI) for the customer base using the retailer's records given the offer type. The consumers are then grouped by their ROI distribution, and the ROI for the deal is calculated based upon the offer size in light of this distribution. From the offer ROI a discount percentage to be paid by the retailer versus the merchant can be created. The retailer may then choose to accept the offer for deployment.

A messaging gamification device. A messaging gamification device can include a customizable message provisioning system and a customizable display system. A method of operating a messaging gamification device can include controlling reproduction of content on a customizable display system of the gamification device according to how a user interacts with the gamification device and content presentation rules.

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising determining a classification for a first consumer, wherein the classification is based on a measure of frequency of purchases by the first consumer; identifying one or more first attributes for the first consumer based on the determined classification, the one or more attributes being attributes selected for predicting the respective one or more metric associated with the first consumer; and determining, based on values for the one or more first attributes, a first prediction value that indicates a programmatically expected number of purchases by the first consumer.

Systems and methods for retrieving, in a first application using one or more processors, a user profile in which the user profile includes a user ID, and the first application includes a first application interface. The systems and methods further include detecting user selection, in the first application interface, of a sync command to a second application, in which the second application includes an executable script associated with the user ID, retrieving the executable script in response to the detecting the user selection of the sync command, integrating the executable script into an HTML interface associated with the user profile, and generating a two-dimensional graphical component in response to the integration of the executable script.

Examples to determine media impressions using distributed demographic information are disclosed. An example system includes programmable circuitry to log, at a first Internet domain, a first record for a first website visit by a first client device to a website at a second Internet domain, the first record based on a hypertext transfer protocol (HTTP) request, the first record to include a timestamp, a uniform resource locator (URL), and a user identifier, the timestamp to represent a time of the first website visit, the URL corresponding to the website at the second Internet domain, and weight impression data in a report, the impression data associated with the first record and with second records, the second records corresponding to second website visits to the website via second client devices, the weighting of the impression data based on demographic distributions of audience members corresponding to the first and second records.

Methods, computer-readable media, systems, and/or apparatuses for providing offer and insight generation functions are provided. For instance, user input may be received requesting generation of an offer. In response to receiving the request, an application may be transmitted to a device, such as a mobile device of a user. In some examples, the application may be executed by the device and may facilitate establishing a communication session with a third party system, identifying and extracting data from the third party system, and transmitting the extracted data to an entity for evaluation. In some examples, evaluation by the entity may include generating one or more insights, outputs and the like. In some arrangements, the evaluation may be performed using machine learning and, in some examples, may be performed in real-time or near real-time.

Embodiments relate to configuring artificial-intelligence (AI) decision nodes throughout a communication decision tree. The decision nodes can support successive iteration of AI models to dynamically define iteration data that corresponds to a trajectory through the tree.