Concepts may be associated with each other based on information provided by data sources. Entities may be associated based on the information provided by the data sources and characteristics of the entities. A concept graph may be generated based on the concepts such that each edge in the concept graph corresponds to a relationship between two or more associated concepts. A data graph may be generated based on the concept graph and the entities such that each node in the data graph corresponds to a concept or an entity and the edges in the data graph correspond to relationships between two or more concepts and such that other relationships between two or more associated concepts are absent from the concept graph. In response to a query, traversing the data graph to determine entities that are related to the query and providing a report that includes those entities.

A computer-implemented is disclosed. The method includes: obtaining current delivery schedules of a plurality of delivery entities, the current delivery schedules including delivery data for pending deliveries of product orders associated with a plurality of merchants; receiving, from a computing device, a first order for a product associated with a first merchant; determining order data for the first order, the order data indicating, at least, an inventory location having available inventory of the product and a delivery destination for the first order; identifying a first set of the pending deliveries, the identifying including comparing delivery routes associated with said pending deliveries with order data for the first order; generating messages for causing delivery entities associated with the first set of pending deliveries to include the first order in their respective delivery schedules; and sending the generated messages to the respective delivery entities.

A control unit of an information processing apparatus determines, upon determining that a demand for parking in a parking lot is low based on a comparison between a score indicating the demand and a predetermined first threshold value, to set a first area to a parking prohibited state. The first area is at least a part of the parking lot.

A method and system is provided for identifying local businesses visited by a user. Location and movement data for a user is analyzed to identify points of interest (POIs) visited by a user, and POIs which were not visited while the user travelled to the visited POIs. The POIs are categorized as corresponding to local businesses or national/global businesses, and local business metrics are generated according to frequencies in which the user visits local businesses and/or passes over national/global businesses in favor of local businesses. Then the local business metrics are presented on the user's client computing device along with a heat map indicating frequencies in which the user visited businesses within a geographic area, and/or a cool map indicating frequencies in which the user passed by businesses within the geographic area.

A sales and marketing assistance system using predictive analytics is provided for assisting sales by leveraging predictive analytics. The sales and marketing assistance system using predictive analytics may include a database, data warehouse, parse component, analytic component, insight component, dashboard component, mapping component, contact management component, review management component, campaign component, and messaging component. A method for assisting sales by leveraging predictive analytics using the sales and marketing assistance system using predictive analytics is also provided.

A method for automatically generating leads for solicitation of prospective clients is provided. The method includes: accessing identification information that relates to an entity that has registered with a government agency via a web site associated with the agency; automatically downloading a document that the entity has filed with the agency from the web site; extracting additional information from the downloaded document; determining an identity of a target group for solicitation of the entity as a prospective client based on the accessed information and the extracted information; and routing a relevant portion of the information to the target group.

An agent application executing on a computing device identifies a patient health record for a patient based upon an identifier for the patient. The patient health record comprises an identifier for a healthcare facility at which a clinical event of the patient occurred and information about the clinical event. The agent application transmits the identifier for the healthcare facility to a mapping computing system that retrieves a map of an area encompassing the healthcare facility based upon the identifier for the healthcare facility. The map includes a marker that marks a location of the healthcare facility. Responsive to receiving the map, the agent application causes a graphical indicator to be included in the map proximate to the marker, the graphical indicator including the identifier for the healthcare facility and the information about the clinical event. The agent application causes the map to be displayed on a display.

Computer-implemented methods and computer systems are disclosed herein as implemented by an autonomous recharging vehicle (ARV) as well as one or more local or remote processors, transceivers, servers, and/or sensors. The methods and systems include: (i) charging the ARV via the one or more processors or manually, where the ARV may be an electric or hybrid autonomous vehicle or otherwise having one or more batteries for recharging electric vehicles; (ii) after being charged, assigning the ARV to a geographical area in which to operate; (iii) broadcasting ARV current GPS location, battery charge level, and/or area being serviced to other vehicles capable of wireless communication or data transmission; (iv) receiving an electronic request for a battery charge from an electric vehicle, such as via wireless communication or data transmission transmitted by the electric vehicle or a corresponding mobile device over one or more radio frequency links; and/or (v) scheduling a rendezvous point for the ARV to recharge the electric vehicle.

Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting system resource volumes for future network time intervals based upon predicted likelihoods of termination transactions for the future network time interval.

Optimizing habit engagement is disclosed, including: obtaining events related to a set of subjects; determining performance segment information corresponding to respective ones of a plurality of habit engagement states based at least in part on the events; and outputting at least a subset of the performance segment information corresponding to the respective ones of the plurality of habit engagement states.