Systems and methods for constraint-based optimization, comprising: an AI demand forecasting engine, an optimization engine, a user-defined objective, and a user-defined set of constraints. Using historical sales data, the AI demand forecasting engine generates a plurality of entities, each entity defined by a placement of an item in a promotion platform; and forecasts the objective associated with each entity. The optimization engine generates a plurality of plans, each plan consisting of a unique subset of entities. Plans that violate at least one constraint are eliminated by the optimization engine, leaving a set of candidate solutions. An optimum plan is selected from the set of candidate solutions based on maximization of the objective.

A computer implemented system including a primary user device operable to access and execute computer instruction code that, when executed, causes generation and sending of notifications to one or more secondary user devices, a database of previously collected data in respect of users of the secondary user devices where the one or more secondary user devices operated by users other than users of primary user devices, and a matching engine, wherein generated notifications are matched, by the matching engine, to the user of a secondary user device according to analysis of the previously collected data regarding the user of the secondary user device such that notifications sent to the secondary user device are relevant to the user of the secondary user device.

A service provider may receive item price information and/or point of sale (POS) transaction information from a plurality of merchant devices associated with a plurality of merchants. The service provider may categorize the plurality of merchants according to the types of items offered by the respective merchants, and may further categorize the merchants according to the locations at which they conduct business. The service provider may subsequently determine a price recommendation or other pricing information for a particular item offered by a particular merchant. A merchant device of the particular merchant may present the pricing information in a user interface that enables the merchant to view projected sales at various different price points. Further, the merchant may be able to specify one or more factors used for determining the recommend price, such as a desired business model, a desired clientele, a desired profit margin, or the like.

Systems and methods for the optimized allocation of content on a content distribution system according to a content distribution plan are described. In some embodiments, a management system may be configured to generate an optimized schedule for content distribution, such as an advertising campaign. For a television distribution schedule, an impressions forecast may be generated based on the available inventory and historical audience measurement information, such as television ratings for a television advertising campaign. An optimized schedule may be generated based on the impressions forecast and content may be distributed according to the optimized schedule. Measurement information relating to the distribution according to the optimized schedule may be analyzed and used to generate a re-optimized schedule, for example, that may be used to schedule the advertising campaign on a subsequent day.

Offers and optimization have co-existed since long and industry has several solutions to address this need. However, identifying the right customer to target offers, assigning the right offer only when customer requires it and presenting offers even on long tail product is crucial to a successful offer assignment. Present application provides systems and methods that creating potential segments where in each user fits into any of the segments based on purchase history, navigation/behavior through e-commerce portal, demographics, and look-ahead scores. When a trigger is received in real-time, the system generates optimal real-time product recommendations for the users by eliminating popularity bias, based on his/her most recent product clicks in the e-commerce portal using a recommender system. Further, offers are mapped to the optimal real-time product recommendations using a scoring mechanism to generate and provide next optimal offers wherein the next optimal offers are generated based on configurable constraint(s).

Systems and methods for selecting content based on an event associated with a device identifier are provided. One or more processors can receive a request to serve content. The processors can identify a device identifier associated with the request. The processors can determine, from the device identifier, an event for which to serve content. The processors can determine, from the request, a length of time between a time the request to serve content is received and a time at which the event is scheduled to occur. The processors can select, based on the determined length of time and event parameters associated with the event, content for display and provide the selected content for display at a computing device associated with the device identifier.

A media content packaging and distribution system that handles the distribution of one or more channels, receives a programming schedule of a channel of the one or more channels which includes one or more content placement opportunities (CPOs). At least a CPO from the one or more CPOs, associated metadata, and one or more channel parameters of the channel is communicated to an exchange system to facilitate a bidding procedure to populate the CPO with a media item related to a winning bid in the bidding procedure. The media item related to the winning bid is dynamically inserted at a specified position in a media feed associated with the CPO. A resultant media feed that includes the media item is distributed over a distribution network to be viewed on one or more consumer devices. The media item inserted in the resultant media feed is selected by a bidder associated with the winning bid based on an outcome of the bidding procedure in the exchange system.

Methods and apparatus for selecting and delivering advertising or promotional content based on, e.g., the attributes of a desired demographic. In one embodiment, the invention enhances advertising or promotional penetration into a particular demographic of a network subscriber pool by correlating the advertising/promotion (and even the contextual program content) with specific users or groups of users within the pool. This approach decouples the advertising or promotion from any given program or lineup, and gives the network operator flexibility in deciding where, when, and how often to insert advertisements or promotions in order to achieve the desired result. Dynamic network architectures such as broadcast switched architectures can also be leveraged to further enhance flexibility and targeting precision. In effect, the network advertising or promotion model is made results-driven (versus program-centric). Subscriber privacy is also optionally maintained, thus ensuring that stored data is not traceable to a specific user.

A system for providing multimedia content. The system includes means for transmitting targeted multimedia content to customers via a telecommunications network; and automatically receiving and outputting the content on a mobile platform. In the illustrative embodiment, the system includes means for encoding, compressing and storing content on a server. An applet is transmitted from the server to each mobile platform. When executed at the mobile platform, the applet deciphers the content and retrieves a schedule with a playback time. The content is then played out without interrupting the user. The applet may include credit code which adds time to a SIM card on the mobile platform giving a user credit time to use the device for one or more functions (communication, games, etc.) at no additional charge. The applet may also include a bar code which when displayed to a third party vendor, allows the user to receive a discount on purchases of goods or services related to the ad. In the best mode, the mobile platform includes a cellular transceiver adapted for a GSM or CDMA network. The mobile platform stores data relating to the output of the content and sends this data on command back to the server. The server includes code for forwarding this feedback data to advertisers.

An artificial intelligence (AI) system and application thereof, where the AI system simulates functions (e.g., recognition and judgment of the human brain) by using a machine learning algorithm like deep learning. In particular, an AI system and a method of providing content based on applications thereof are provided. The method includes obtaining, by an electronic device, a plurality of images included in content; and determining a time point for displaying an advertisement reproduced in synchronization with the content, based on at least one of a type of the content, image characteristics of the plurality of images, and a viewing pattern of a user.