This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

Aspects concern a demand notification device (110), comprising: a determining unit (122) configured to determine a quantity of a demand of a transport service for a plurality of users (102, 104, 106) having a predetermined area as destination in a first time period, the quantity of the demand indicating how many users of the plurality of users are determined to desire to travel into the predetermined area; and wherein the determining unit (122) is further configured to determine a real space service demand from a plurality of users (102, 104, 106) to be fulfilled in the predetermined area in a second time period, wherein the real space service is provided by a service provider (120); an analysis unit (124) configured to determine a predicted real space service demand in a third time period for the predetermined area based on the quantity of users (102, 104, 106) in the predetermined area at the first time period and the demand of real space service in the predetermined area in the second time period and further configured to monitor the predicted real space service demand in the third time period in the predetermined area regarding a threshold value of service demand for the predetermined area at the third time; and a notification unit (126) configured to submit a notification to the real space service provider (120) in case the predicted real space service demand is beyond the threshold value.

The present invention is an information processor including: a first acquisition unit configured to acquire flow line information containing positions and times of a communication device that is attached to a product carrying tool used in an area by a user; a second acquisition unit configured to acquire, based on the flow line information of the communication device acquired by the first acquisition unit, stay time information of each of a plurality of divided regions that divide the area; and a flow line assignment unit configured to assign at least a piece of the flow line information of the communication device as flow line information of the user, based on the stay time information acquired by the second acquisition unit and based on time information set to each of the plurality of divided regions.

In virtualized wholesaling, orders may be filled without pre-stocked product, and rapidly enough for the product to be on the retailer's shelf in a just-in-time (JIT) fashion that benefits the manufacturer/vendor. The virtualized wholesaler can promote sales without requiring substantial pre-stocking of products that may not have a large-volume presence, and the retailer can exploit long-tail economics to increase its variety of product offerings and reach specific, often niche products and consumers with reduced risk of dead shelf space. Various use cases incorporate enhanced product support, user experience, and third-party solutions.

Links are generated between local merchants and community programs for merchant incentives to customers for the programs which are tracked for online-offline customer transactions using incentives. Participants' identifiers are linked to payment sources. Offline-online transaction data is collected in a data storage area. All data in the data storage area may be utilized by logic tool, which may provide information, such as details of consumer behavior and analytic reporting. Rich data provided by pre-transaction chat sessions between merchants and potential customers are matched with rich data provided by subsequent transactions between the merchants and their customers, and a level of certainty may be determined as to the accuracy of the match of a prior chat session to a subsequent transaction.

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

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.

A computer-implemented method for power grid anomaly detection using a convolutional neural network (CNN) trained to detect anomalies in electricity demand data and electricity supply data includes receiving (i) electricity demand data comprising time series measurements of consumption of electricity by a plurality of consumers, and (ii) electricity supply data comprising time series measurements of availability of electricity by one or more producers. An input matrix is generated that comprises the electricity demand data and the electricity supply data. The CNN is applied to the input matrix to yield a probability of anomaly in the electricity demand data and the electricity supply data. If the probability of anomaly is above a threshold value, an alert message is generated for one or more system operators.

Provided are a computer program product, system, and method for geo-spatial analysis to determine boundaries of traffic regions and classifications of the boundaries for controlling drop-off/pick-up traffic. A determination is made of drop-off/pick-up points for vehicles in traffic regions in which vehicles dropped-off and/or picked-up passengers. Geo-spatial cluster analysis is applied to the determined drop-off/pick-up points to determine boundaries of the traffic regions having drop-off/pick-up points forming clusters of similar drop-off/pick-up point densities. A determination is made of a respective classification for each respective one of the boundaries. Each respective classification indicates a relative density of drop-off/pick-up points in its respective boundary relative to densities of drop-off/pick-up points in other one of the boundaries. Classification related information based on the determined classifications is communicated to use to control drop-off/pick-up traffic in the traffic regions.

An information processing device has a prediction unit and a business hour decision unit. The prediction unit predicts a demand for hydrogen at a hydrogen station through the use of a demand prediction model that is a learned model generated in advance through mechanical learning and that receives at least a behavioral pattern of a client and outputs the predicted demand for hydrogen. The business hour decision unit decides business hours of the hydrogen station based on the predicted demand for hydrogen.