In various example embodiments, a system and method for managing supplemental content relating to a digital good are presented. The supplemental content relating to the digital good may be received, where the supplemental content may be for presentation to a consumer. The supplemental content may be stored in accompaniment with the digital good. Ownership criteria associated with ownership rights of the supplemental content may be determined. The ownership rights corresponding to the supplemental content may be transferred from a first entity to a second entity based, at least in part, on the determined ownership criteria. The second entity may be authorized to access the supplemental content based, at least in part, on the determined ownership criteria. The supplemental content may be caused to be distributed to the second entity.

Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

A ticket exchange server is configured to distribute tickets to an event based on predicted attendance. The ticket exchange server accesses a set of training data describing statistics of and attendance during a historical event for a plurality of historical events. Using the training data, the ticket exchange server trains a machine-learned model, which is configured to predict a likelihood of a seat at a stadium being vacant during an event based on real-time statistics. During an event at the stadium, the ticket exchange server detects a vacant seat associated with a first ticket of a first user. The ticket exchange server determines a value of a second ticket for the vacant seat at least in part by applying the machine-learned model to real-time statistics of the event and distributes the second ticket to a second user.

A vehicle is provided that comprises two or more radio frequency (RF) antennas and two or more RF transceivers to communicate wirelessly sensitive information associated with a user of the vehicle (the two or more RF antennas being at different physical locations on an exterior of the vehicle). The vehicle determines which one of the two or more RF antennas is receiving a strongest signal from a common signal source, selects a first RF transceiver associated with the RF antenna with the strongest signal to send the sensitive information associated with the user to the common signal source, and sends the sensitive information associated with the user to the first RF transceiver for transmission to the common signal source.

Various implementations described herein are able to leverage the interaction from one or more potential buyers relative to a digital image to automatically create a sales listing for items that appear to be of interest to the buyers. This reduces or eliminates all together the manual effort previously required of sellers in researching and collecting data on each item they wish to sell. Because of their technical nature, the innovative solutions described herein are also readily scalable which, in turn, greatly improves the seller's experience. Based on buyer interaction experiences, sales listings for each item for sale can be automatically created and listed.

Embodiments provide method and systems for determining business transaction forecast. The method includes receiving plurality of input data streams from multiple sources. The plurality of input data streams includes at least one of demand information and supply information associated with a business entity for which the business transaction forecast is to be determined. The method further includes determining one or more business transaction patterns in the plurality of input data streams. A forecast model is determined from among a plurality of forecast models upon determination of the one or more business transaction patterns, wherein the forecast model provides highest accuracy of the business transaction forecast among the plurality of forecast models. The method includes providing a business transaction forecast output generated based on the forecast model to a processing device of the business entity.

A computer-implemented method for calculating a trade price reference indicator includes step 101: creating a frequency distribution chart based on a price increment; step 102: selecting an accumulation distribution point from the frequency distribution chart; and step 103: calculating an average deviation of an active range based on the accumulation distribution point, calculating a significant range, and using the significant range as an equitable value of a market. The method calculates and generates a trading reference price indicator of a financial market product by superimposing discrete quantitative elements of time and quantity distributions onto conventional price-time, so as to accurately reflect real-time market transactions, avoid price manipulation, and achieve accurate statistics and analysis of financial prices.

A method for assisting manufacturing outsourcing from a manufacturer to a processor of a component is disclosed. The method includes receiving, from a manufacturer terminal of the manufacturer, two-dimensional data expressing the component in a two-dimensional manner. The method includes extracting designation information from the two-dimensional data. The method includes determining outsourcing requirements corresponding to the designation information. The method includes adding, to the two-dimensional data, additional data corresponding to at least part of the outsourcing requirements. The method includes transmitting, to a processor terminal of the processor, the two-dimensional data to which the additional data is added.