Servers, systems, and methods for targeting messages to users based on a propensity score. The propensity score is determined based on geolocation data. A visit to a monitored location is determined based on geolocation data from a mobile device associated with a user. Occurrence of an activity associated with the monitored location is detection based on geolocation data from the mobile device. The propensity score is determined or adjusted based on the visit and the activity detected and a targeted message is sent to the mobile device based on the propensity score exceeding a threshold value. The location may be a car dealership and the activity may be occurrence of a test drive, in some implementations.

A system and method for developing optimized cargo transportation solutions. The system may include a number of different modules (programs) that may be executed individually, or in series when an exemplary system includes the programs operating sequentially. Input to the programs may be obtained from the shipment files of an entity for whom a transportation solution is being created. The output of one program may act as at least a partial input to the next program when the programs are executed sequentially. One or more of the programs may employ optimization procedures such as ant colony optimization procedures and/or local improvement heuristics. The systems and methods are provided to determine a most cost effective shipping solution for given cargo.

A controller comprising at least one processor of an information processing apparatus acquires first information about delivery of a specific product that is delivered, on a regular basis, to a specific house where at least one user lives. Furthermore, the controller acquires second information about at least one member who is scheduled to be present in the specific house in a predetermined period. The predetermined period is a period between a scheduled date of next delivery of the specific product to the specific house and a first scheduled date, after the scheduled date, of delivery of the specific product to the specific house. Then, the controller predicts a demanded quantity of the specific product in the specific house in the predetermined period, based on the first information and the second information.

Aspects of the subject disclosure may include, for example, obtaining data relating to a user, where the data relating to the user includes user profile data regarding user activities in a first domain, mapping the user profile data to a second domain, resulting in mapped user profile data, receiving, from an immersion engine, data regarding an immersion environment, obtaining data relating to advertisement content, where the data relating to advertisement content includes information identifying an advertisement object, deriving immersive advertising data based on the mapped user profile data, the data regarding the immersion environment, and the data relating to the advertisement content, and outputting the immersive advertising data to the immersion engine, where the immersive advertising data enables the immersion engine to embed the advertisement object in the immersion environment. Other embodiments are disclosed.

Systems, apparatuses, methods, and computer program products are disclosed for generating a single-index model (SIM) tree. An example method includes receiving a data set and a maximum tree depth. The example method further includes screening a set of variables from the data set to form split variables. The method may include, while maximum tree depth has not been reached, (i) generating a fast SIM estimation for nodes of a tree level, (ii) for each node, selecting a split point and split variable based on the fast SIM estimation, (iii) based on the selected split points and split variables, generating nodes for a next tree level, each including a subset of data, and (iv) repeating steps (i), (ii), and (iii). The method may include fitting a SIM for each leaf node at maximum tree depth based on a subset of the data set represented by the leaf node.

In one embodiment, a method includes receiving a message comprising status data from a second computing device, determining that a geographic area is a hotspot based at least on the status data, where mobile users in a hotspot have a high probability of accessing an application on their mobile computing devices, and sending an indication that the geographic area is a hotspot to a third-party computing device, where the indication is used by the third-party computing device to determine a value for delivery of content to computing devices associated with the geographic area.

Systems, methods and products for intelligent delivery of communications, where a machine learning engine is trained to identify an output channel for delivery of a communication based on received context information and intended recipient information and to route the communication to the selected channel. An intelligent delivery task in a communication flow model is performed by the machine learning engine, which receives customer/recipient data such as age, region, gender, etc., and context data such as communication type, time of day, working hours, etc., and uses this data to determine which of a set of different channels is likely to be most effecting for sending the communication to the recipient. A user therefore does not have to build a complex static communication flow, but simply adds an intelligent delivery task to the flow. The output channel is dynamically selected and may vary for different recipients and communications.

An exemplary embodiment of the present invention provides an economic development system, which enables individuals within a community to efficiently identify and express their interests in one or more economic propositions. The economic development system comprises an application which allows users to uniquely interface with the one or more economic propositions. Users of the economic development system are able to efficiently identify and express support or disapprove for one or more economic propositions. A plurality of engagement mechanisms is provided by the economic development system to assist users in democratizing their interests. The economic development system also allows for crowdfunding of economic propositions and further provides valuable statistical data which can be utilized by developers, business owners, and local municipalities to implement one or more economic propositions.

This disclosure describes a market segment analysis (MSA) system that facilitates a cluster analysis of market segment data and performance metrics to identify data patterns between individual market segments within a designated market region. Particularly, the MSA system may quantify current performance of existing vendor product or service offerings within a market segment relative to historical performance of the vendor product or service offering within the market segment. Further, the MSA system may quantify current performance of a vendor product or service offering relative to current peer performance of the same or substantially similar vendor product or service offerings within additional market segments. The MSA system may recommend one or more additional market segments for an offering of the vendor product or service. Alternatively, or additionally, the MSA system may recommend one or more vendor product or service offering(s) for a target market segment of a designated market region.

Embodiments provide computer apparatuses, computer systems and computer-executable methods for generating geographic zone information associated with a consumer. A method includes receiving a first geographic location associated with the consumer, and programmatically identifying a first geographic zone associated with the first geographic location. The method also includes programmatically generating a first importance score associated with the first geographic zone and associated with the consumer. The method also includes storing, on a non-transitory computer-readable medium, the first geographic zone and the first importance score associated with the consumer.