A device receives, from a client device, a first request associated with target audience criteria and a time constraint. Based on the target audience criteria, the device sends, to an information device, a network state request. In response to the network state request, the device receives, from the information device, a network state response including user data associated with user devices. Based on the network state response, the device determines a predicted network state, including predicted user data associated with the user devices, associated with the time constraint. Based on the predicted network state and the target audience criteria, the device determines a predicted quantity of user devices associated with both the target audience criteria and the time constraint. The device sends, to the client device, a first response based on the determination of the predicted quantity of user devices.

A method for benchmarking in online advertising, the method comprising using at least one hardware processor for: comparing values of a metric associated with a first online ad entity to values of the same metric associated with other online ad entities; and based on the comparing, identifying one or more of the other online ad entities as potential benchmarks to the first online ad entity. In addition, a method for benchmarking in online advertising, the method comprising using at least one hardware processor for: comparing values of N metrics associated with M online ad entities, wherein N1 and M2; based on the comparing, constructing an NMM matrix indicative of statistical relationships between the M online ad entities over the N metrics; and clustering cells of the matrix, to produce multiple clusters each comprised of similarly-characterized cells, whereby each of the multiple clusters is usable as a joint benchmark.

Transaction-enabled systems and methods for transaction execution with licensing smart wrappers are disclosed. An example system may include a smart contract wrapper configured to access a distributed ledger comprising a plurality of IP licensing terms for a plurality of IP assets comprising an aggregate stack of IP. The smart contract wrapper may be further configured to interpret an IP description value and an IP addition request and, in response to the request and IP description value, to add an IP asset to the aggregate stack of IP. A transaction execution circuit provides a transaction implementation command in response to at least one of a transaction geographic value or a transaction jurisdiction value.

Systems and methods for allocation of renewable energy capacity for a fleet of machines are disclosed. An example transaction-enabling system may include a fleet of machines each having an energy consumption task requirement, wherein at least a subset of the fleet of machines each comprises a renewable energy capacity. The system may further include a controller including a resource requirement circuit to determine an amount of energy for each of the machines to service the energy consumption task requirement for each corresponding machine, and a resource distribution circuit to allocate a delivery of energy from an aggregated renewable energy capacity of the subset of the fleet of machines in response to the determined amount of energy for each of the machines to service the energy consumption task requirement.

Systems and methods for aggregating transactions and optimization data related to energy credits are disclosed. An example transaction-enabling system may include a resource requirement circuit to aggregate an energy credit requirement for a fleet of machines to perform a task, a forward resource market circuit to access a forward market for energy, and a controller. The controller may include an artificial intelligence (AI) circuit to configure a transaction on the forward market for energy in response to the aggregated energy credit requirement; a machine resource acquisition circuit to automatically solicit the configured transaction on the forward market for energy; and wherein the AI circuit is further structured to iteratively improve the configured transaction to improve a task outcome of the fleet of machines.

A transaction-enabling system may include a smart contract wrapper, wherein the smart contract wrapper is configured to: access a distributed ledger comprising a plurality of intellectual property (IP) licensing terms corresponding to a plurality of IP assets; interpret an access request value for the plurality of IP licensing terms, and, in response to the access request value, provide access to at least a portion of the plurality of IP licensing terms; and commit a royalty generating entity providing the access request value to at least one of the plurality of IP licensing terms; and a royalty apportionment wrapper structured to apportion royalties from the royalty generating entity to a plurality of owning entities in the distributed ledger in response to the at least one of the plurality of IP licensing terms.

A transaction-enabling system is disclosed. The transaction-enabling system includes a smart wrapper structured to aggregate one or more intellectual property (IP) assets into an aggregate stack of IP, wherein the aggregate stack of IP is owned by a plurality of owning entities; and a smart contract wrapper configured to: access a distributed ledger comprising a plurality of intellectual property (IP) licensing terms corresponding to the aggregate stack of IP; interpret an IP description value and an IP addition request; and in response to the IP addition request and the IP description value, add an IP asset to the aggregate stack of IP, commit a party to at least one of the plurality of IP licensing terms, and adjusting the plurality of owning entities, wherein adjusting comprises at least one of adding an entity, changing an entity, or removing an entity from the plurality of owning entities.

A transaction-enabling system includes a machine having an energy requirement for a task; and a controller, comprising: a resource requirement circuit structured to determine an amount of an energy resource for the machine to service the energy requirement; a market forecasting circuit structured to predict a forward market price on a forward resource market based on the determined amount of the energy resource and at least one external data source; a forward resource market circuit structured to access the forward resource market; and a resource distribution circuit structured to execute a transaction on the forward resource market in response to the determined amount of the energy resource and the predicted forward market price.

An approach is provided in which an information handling system creates a class model of a user based on analyzing a set of social media data corresponding to the user and extracted from a social media network. Next, the information handling system matches the class model to a set of product data corresponding to a product. Then, in response to matching the class model to the set of product data, the information handling system sends a request to the user to promote the business on the social media network.

Methods for processing a marketing document using a natural language processing (NLP) module, identifying; and storing at least one category or topic of words associated with the NLP results and querying a database of existing audience persona profiles for profiles that include at least one of the identified categories or topics are described.