Ad segments on a Web page are filled with ads that are served by a service provider operating between a user computer and publisher on one end and multiple ad serving entities on the other. The ads include those served by publisher ad server and also real time bidding. An offline campaign controller orchestrates the allocation of guaranteed and real time bidding by monitoring performance of the direct sold campaigns and generating updates to targeting parameters of UOE ad campaign and rules for an edge server. When a direct sold campaign is on track, the updates on UOE campaign permits an ad segment to be considered for real time bidding.

It is difficult to distinguish facility types. It is difficult to estimate a fluctuating population from the number of communication terminals. A log information obtaining unit which obtains log information in which positional information of a wireless terminal and clock time information at which the positional information is obtained are associated, a population fluctuation pattern determination unit which determines a population fluctuation pattern based on the log information, a type determination unit which determines a type of a facility based on the population fluctuation pattern determined by the population fluctuation pattern determination unit, with reference to basic pattern information indicating a population fluctuation pattern for each facility type, and an estimated value deriving unit which extracts calculation basic information corresponding to the facility type determined by the type determination unit to derive an estimated value of the population movement of the facility are comprised.

A log information obtaining unit which obtains log information; a population information obtaining unit which obtains local population information indicating a population of a local area; a first terminal extraction unit which extracts, based on the log information, a wireless terminal present in the local area in a particular time from among the one or more wireless terminals; a relation parameter deriving unit which derives a relation parameter representing a relation between the number of wireless terminals and the population based on a population of the local area indicated by the local population information and the number of wireless terminals extracted by the first terminal extraction unit; and an estimated value deriving unit which derives an estimated population value from the number of wireless terminals by using the relation parameter are comprised.

A self-adaptive fair system includes a mobile carrier, a first object, a processing unit and a production station. The mobile carrier is for selectively moving to or being moved to a first location. The first object is exhibited at the first location through the mobile carrier. The first object is accessed by a first user at the first location for selectively generating a first user design. The processing unit is for receiving a first order inputted by the first user and transmitting the first order. The first order is related to the first user design. The production station located outside the mobile carrier and signally connected to the processing unit for producing a second object according to the first order.

A set of factors affecting a sold volume of the product is collected at a store in a geographical portion of a geographical area. A subset of a set of area stores is identified having a corresponding sold volume of the product. An intrinsic capacity of the product is computed by adjusting the sold volume of an area store by a first volume where the first volume is due to a sale of a second product at the area store. A modified intrinsic capacity is computed by modifying an effect of a factor from the subset on the intrinsic capacity such that the effect is worse than an effect of the factor at the store. A virtual store is constructed using modified intrinsic capacities of a sub-subset of area stores. A target volume of the product is set at the store as the virtual intrinsic capacity at the virtual store.

Systems and methods are disclosed for providing a product to consumers by receiving the product from a manufacturer located in a first country; matching the products with a seller in the second country; managing delivery logistics by matching available third-party truckers and third-party warehouses in a second country based on proximity; forecasting demand using one or more neural networks for the manufacturer, the logistics organization, and the warehouses; and managing logistics for the manufacturer through a dashboard populated by the forecasted demand from the one or more neural networks.

In an approach, a processor receives a request to purchase an item from a retailer, where the request includes a location. A processor receives a request to purchase an item from a retailer, where the request includes location information associated with a buyer. A processor identifies that the item is unavailable from the retailer. A processor determines a plurality of users predicted to have a surplus quantity of the item beyond each respective user's estimated needs at a time of the request. A processor sends an offer to the plurality of users to transfer the item in accordance with the request. A processor, responsive to receiving an acceptance of the offer, selects at least one accepting user, of the plurality of users, based on geographic proximity to the location information. A processor coordinates fulfillment of the request by the at least one user.

A solution is disclosed for traffic demand management of a transportation network. The transportation network may comprise hyperloop modes of transportation as well as non-hyperloop modes of transportation. The solution is configured to generate a socio-economic model, a land use model, an accessibility model as well as a plurality of trip models. The solution further distributes trip models among a plurality of passengers and/or cargo in order to manage traffic within the transportation network. Non-hyperloop modalities may be further associated with the trip models in order to support “last mile” service between a hyperloop portal and an origin and/or destination.

A system and a method for managing one or more clinical protocols across multiple locations, including identify a clinical research location; capture a plurality of types of content from the administrator mobile device; analyze the captured content to determine one or more associated clinical protocols for the clinical research location; automatically select a workflow algorithm for each determined clinical protocol, the workflow algorithm configured to obtain stage based information and workflow items from the data store; and enable a mobile control interface for each determined clinical protocol, wherein the mobile control interface comprises monitoring of the stage based information and management of the workflow items associated with the clinical research location.

Systems, apparatus, and methods for determining incentives based on consumer history. When, how, and to whom incentives are sent can be determined. For example, an incentive can be sent to a consumer to encourage a transaction at a time when the particular consumer is predisposed to initiate the transaction. Also, an incentive for a transaction can be sent to a consumer when that transaction has a high likelihood of leading to other transactions. An incentive can also be sent after a consumer initiates a transaction that is known to not have many subsequent transaction correlated to it.