Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

Implementations of various methods and systems for creating and calculating a transportation capacity unit index and trading derivative products based thereon to transact and trade transportation seats or freight or transportation capacity units and resulting financial swap, futures, forwards and option structures in airline transport, subway transport, train transport, automobile transport, autonomous vehicle transport, taxi transport, space transport, package freight transport, tractor trailer freight transport, cargo freight transport, container freight transport, virtual transport, underground transport, ship or sea transport, public transport, private transport or drone transport on a computer, mobile computer device, audio computer device, virtual reality computer device or mixed reality computing device.

In accordance with an embodiment, an information processing apparatus acquires a rank of a visiting user and an amount according to the ranking. The information processing apparatus acquires a price at an own store of a commodity that the user has selected for purchase. The information processing apparatus acquires a price at another store of the commodity that the user has selected for purchase. In a case in which the price at the own store is higher than the price at the other store, the information processing apparatus adds an amount based on a difference in price therebetween to the amount according to the ranking, which is acquired by a first acquisition means.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

Provided is a control device for controlling a storage battery. The control device includes a communication unit and a control unit. The communication unit communicates with the storage battery in a wired or wireless manner. The control unit controls the communication unit to send a control signal, to the storage battery, that causes the storage battery to operate in a first mode or a second mode. The first mode is a mode in which the width of changes over time in power bought or sold by a power control system connected to the storage battery is controlled to stay within a prescribed range. The second mode is mode in which the width of changes over time in power charged to or discharged from the storage battery is controlled to stay within a prescribed range.

Provided are an energy distribution management method and a dynamic brokerage system for dynamic brokerage of renewable energy. An energy distribution management method provides optimal profits according to dynamic brokerage by improving utility through optimal energy distribution according to a required amount of energy of a renewable energy consumer in uncertain supply and demand for renewable energy.

Aspects of the disclosure relate to value exchange and recommendation. A computing platform may send a selection request to a computing device for selecting one or more options for a payment transaction. The one or more options may include a value contribution in exchange for credit. The computing platform may receive, by a user of the computing device, a selection of the value contribution option. The computing platform may initiate performance of the value contribution. The computing platform may receive a notification indicating completion of the value contribution. The computing platform may identify a monetary value of the value contribution. The computing platform may cause a monetary payment to be issued to an account associated with the user of the computing device based on the identified monetary value. The computing platform may generate and send one or more recommendations associated with the payment transaction.

Systems and methods for vehicle lifecycle management using onboard vehicle onboard data capture devices are disclosed. In one embodiment, a method of vehicle lifecycle management may include: enrolling, by a vehicle lifecycle computer program executed by an electronic device, a vehicle in a vehicle lifecycle management service; receiving, by the vehicle lifecycle computer program, a request to initiate a vehicle lifecycle event; enabling, by the vehicle lifecycle computer program, a telematics unit in the vehicle; receiving, by the vehicle lifecycle computer program, vehicle attributes from the telematics unit; requesting, by the vehicle lifecycle computer program, vehicle condition data from an on-board vehicle management computer program; receiving, by vehicle lifecycle computer program, the vehicle condition data from the on-board vehicle management computer program; receiving, by the vehicle lifecycle computer program, a request to terminate the vehicle lifecycle event; and disabling, by the vehicle lifecycle computer program, the telematics unit.

A method of training a machine learning model to determine an item margin is provided. The method includes monitoring a first value for a first item having attributes and monitoring a first value for a second type of item having attributes where an attribute of the first attributes is the same as an attribute of the second attributes. The method also includes determining a first margin based on the first values. The first attributes, the second attributes, and the first margin are input as training data for the machine learning model where the machine learning model is trained with the training data. The monitoring operations for the first item and the second item are repeated to obtain a second value for the first and second items. Furthermore, the trained machine learning model is applied to the second values to determine a second margin.