A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user. In addition, the various ranked geographic regions or related zip codes may be analyzed for proximity to natural or man made perils.

Example methods and apparatus for associating media devices with a demographic composition of a geographic area are disclosed. Disclosed example apparatus are to obtain a plurality of Internet Protocol addresses assigned to a media device associated with a panel member. Disclosed example apparatus are also to determine a most used Internet Protocol address from the plurality of Internet Protocol addresses, determine a geographic location corresponding to the most used Internet Protocol address, associate a geographic area with the media device in response to a determination that the geographic location corresponds to a location of an internet service provider, determine a demographic profile associated with the geographic area, and associate the demographic profile with the media device.

Implementations of a computer implemented method and system to transform geolocation exchange unit specifications and transportation and freight and parking and tolling and curb management and transportation management association unit securities or derivative unit securities or unitization structure capacity units with two waypoints or a destination waypoint or a series sequence of waypoints into multi-modal objects which are tradable as commodities such as wheat, oil, corn, stocks, foreign exchange, fixed income or other forward or securitized markets and broadcast those unitized prices, indices and associated news over a plurality of electronic devices. The present disclosed invention relates to combining the concepts of objected oriented programming and navigation systems and social networking, price-time priorities queues, replacement costs, termination valuations, financial markets, commodity structuring transformation or unitization structures as a fungible asset classes or tradable markets.

Systems and methods for machine forward energy transactions optimization are disclosed. A transaction-enabling system may include a resource requirement circuit to aggregate a resource 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 resource requirement and a machine resource acquisition circuit to automatically solicit the configured transaction on the forward market for energy. The AI circuit may also iteratively improve the configured transaction to improve a task outcome of the fleet of machines.

Systems and methods for fleet forward energy and energy credits purchase are disclosed. An example transaction-enabling system may include a resource requirement circuit to aggregate a resource requirement for a fleet of machines to perform a task; a forward resource market circuit to access a forward market for energy; and a machine resource acquisition circuit to execute a transaction on the forward market for energy in response to the aggregated resource requirement.

Systems and methods for machine forward energy and energy storage transactions are disclosed. An example transaction-enabling system may include a resource requirement circuit to aggregate a resource requirement for a fleet of machines to perform a task, wherein the resource requirement comprises an energy storage capacity requirement, a forward resource market circuit to access a forward market for energy, and a machine resource acquisition circuit to execute a transaction on the forward market for energy in response to the aggregated resource requirement.

A ticket exchange server is configured to determine a number of tickets to distribute for an event. The ticket exchange server accesses, for a stadium, training data describing attendance at historical events, historical opponents of a sports team, and a historical win/loss record of the sports team. The ticket exchange server trains a machine-learned model configured to predict an attendance for a future event at the stadium based on an opponent of the sports team at the future event and a current or predicted win/loss record of the sports team. The ticket exchange server selects an event for the sports team against an opponent and determines a predicted attendance using the machine-learned model. The ticket exchange server identifies a number of tickets greater than a capacity of the stadium to make available based on the predicted attendance and distributes the number of tickets to prospective attendees.

A call conversion tracking system is disclosed that tracks call-based communications initiated from invitational content. Based on the tracking, the call conversion tracking system generates data analytics quantifying the effectiveness of the invitational content's ability to trigger a voice call (e.g., a phone call) and/or other type of voice communication. The system correlates the voice communication data and sales-related data, and associates such data to interactions within the invitational content responsible for driving the call and sale.

Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.