Systems and related methods providing for dynamic message creation are discussed herein. Circuitry may be configured receive generic configuration data that references work chunks for message generation and time data indicating a message send time. The work chunks may include references to message data, but not the actual message data. Based on the time data, the work chunks may be placed in a message queue. Circuitry may also be configured to retrieve a work chunk from the message queue and to generate one or more messages based on the retrieved work chunk. The references to message data in the work chunk may be used to retrieve the message data at the time of message generation.

A product release system, method and device that enables product controllers to generate product listings for one or more products as well as one or more customized prepurchase events for each of the products. The product release system, method and device then executes the prepurchase events according to one or more pricing, timing and permission conditions specified for each of the prepurchase events, facilitates the purchasing of the products during the prepurchase events and notifies the product controllers of the results of the prepurchase events.

Branded content, or a target asset, may be included in a set of ordered assets based on the category of an anchor asset. Fill rates, total views of the target asset, or a combination may be used in selecting an optimization strategy. A dual optimization may be used to reduce the burden of presentation based on historical yield rates and follow-on rates observed from category transition data. Serendipity may be incorporated in the process through use of a reserve pool of transitions.

Methods and systems are disclosed for performing operations comprising: accessing content received from a first client device associated with a first user; processing the content to identify a first image that depicts the first user wearing a first fashion item; determining a first pose of the first user depicted in the first image; searching a plurality of products to identify a first product that corresponds to the first pose of the first user depicted in the first image and that includes one or more attributes associated with the first fashion item; modifying the first image to generate an advertisement that depicts the first user wearing the first product; and during a content browsing session being accessed by the first client device, causing the advertisement that depicts the first user wearing the first product to be displayed automatically on the first client device.

The present disclosure relates to non-transitory computer readable mediums (CRMs) for guided-viewing of annotations and the process or organizing and connecting annotations of web documents within web browsers. The rationale for creating and using such computer readable medium is discussed in detail within this disclosure. Throughout the course of this explanation, various steps are dissected and explained in detail in the context of exemplary embodiments to elaborate on the relevant data structures and the architectures, messaging patterns, and use cases that provide the context for these data structures.

A method for generating content for a ticker feed on at least one web site, wherein the method is implemented by a computer comprising a microprocessor, a computer readable medium having instructions stored thereon, the instructions executable by the microprocessor to at least: receive web site information related to at least one of content of the at least one web site having the ticker, advertisements appearing on the at least one web site, metadata; apply a predictive model to the at least one web site information to generate at least one probabilistic user profile; retrieve at least one product or service from at least one provider based on at least one probabilistic user profile; update the predictive model with user input values to refine the at least one probabilistic user profile; retrieve content for the ticker feed based on the at least one probabilistic user profile.

Examples of a content alignment system are provided. The system may receive a content record and a content creation requirement. The system may implement an artificial intelligence component to sort the content record into a plurality of objects and for identifying an object boundary for each of the plurality of objects. The system may identify a plurality of images and implement a first cognitive learning operation to identify an image boundary for each of the plurality of images. The system may identify a plurality of exhibits and implement a second cognitive learning operation to identify a data pattern associated with each of the plurality of exhibits. The system may implement a third cognitive learning operation for determining a content creation model by evaluating the plurality of objects, the plurality of images, and the plurality of exhibits. The system may generate a content creation output to resolve the content creation requirement.

A dynamic digital advertising content system having a front end system and a back end system, and used to present product content to a user's computing device in the form of a digital circular. The back end system provides retailers and third party access to upload, and update, product content information for the digital circular, including videos and animations. The dynamic digital advertising content system can include integrations for third-parties such as digital coupon providers and loyalty program providers. The system permits users the ability to share with other users merchandise displayed in the digital circular and/or selected for a shopping list. Such shared content can be dynamically arranged for subsequent presentation on a computing device of the recipient. The digital circular is further customizable for individual retailers or retailer locations, as well as customizable based on detected histories and/or characteristics of the user receiving the digital circular.

The system for recognizing one or more objects of a design creative within an environment, analyzing the one or more objects using a deep neural networking model and generating a modified design creative by (i) determining a location of a design creative within the media content, (iii) determining an object from the design creative, (iv) determining an attribute of the object, (v) implementing a compliance rule to the attribute of the object to determine a distinctness and an effectiveness of a brand product, (vi) generating an attention sequence and heatmap for the media content, (vii) automatically generating a first recommendation based on the compliance rule, the attention heatmap, and the attention sequence, and (viii) automatically generating a modified design creative for the environment based on the attention heatmap, the attention sequence and the generated first recommendation using the deep neural networking model.

A smart, movable closure system that allows access to the interior from the exterior of the cabinet, is disclosed. In some embodiments, the movable structure may be coupled with a cabinet interior that is adapted to be kept at a temperature cooler than the exterior cabinet ambient temperature, for example, to store perishable consumer goods in a retail setting. In particular, the smart, movable closure system may include electronic components that display graphical renderings corresponding to one or more products stored in the retail product container. In addition, the smart, movable closure system may include a controller that, before a user opts-in, generates an opt-in invitation at the smart, movable closure system, wherein the user may interface with the system with a wireless communication device.