A system and method are provided for determining an optimum price curve to a target date and dynamically updating a price of a product in real-time in a store of a merchant. A merchant database contains and a third-party source provides information which is relevant to determining the price. An enhanced data engine and database generates and stores enhanced information which is derived from the merchant and third-party information and which is relevant to determining the price of the product. A dynamic pricing mechanism includes an artificial intelligence trained on the enhanced information and is configured to determine the optimum price curve for the product, and to transmit a current price from the optimum price curve via a communications network. An electronic price display is located in the store and receives from the dynamic pricing mechanism and visually displays in real-time the current price of the product.

Member outreach services to be offered to members of a health plan based on predictions generated by a prediction engine using data associated with the members. The prediction engine can include an ensemble of different base predictive models, and the prediction engine can use a weighted combination of base predictions produced by the different base predictive models to generate a final prediction associated with a member. A representative can attempt to contact the member based on an outreach ticket associated with the final prediction. The representative can also provide ticket feedback associated with the outreach, and the prediction engine can use the ticket feedback to adjust the weights associated with the different base predictive models.

A storage medium having software instructions configured to cause a processor to receive a series of user preferences, a user's requested dates of availability, transmit a request for tattoo service providers matching the series of user preferences, and receive a series of tattoo service providers matching the user preferences. The instructions are also configured to cause the processor to display an image of a map including the user's desired geographic location, and to display the series of tattoo service providers with a series of visual indicia. The series of visual indicia are overlaid on the image of the map based on geographic coordinates of the series of tattoo service providers.

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.

Described are platforms, systems, and methods for assigning and deploying resources for incoming transactions. In one aspect, a method comprises maintaining, in a datastore, the set of logic rules comprising cascading or nested logic rules; determining a Boolean-based visual representation of the set logic rules and a logic chain formed by the set logic rules as a dynamic tree view, wherein the dynamic tree view depicts the set of logic rules as cascading or nested logic strings for human readability; providing the dynamic tree view to a user-interface; and receiving updates to the set of logic rules from the user-interface based on a user's interaction with the dynamic tree view.

An information presentation method is executed by a processor of an information processing apparatus, the information processing apparatus providing a service, the service presenting plural target persons who satisfy a criterion with a meeting place to meet at. The information presentation method includes acquiring information, the information being related to plural reference points designated by the plural target persons, determining a meeting place from at least one location, the at least one location being a location whose distances from the plural reference points designated by the plural target persons are all greater than or equal to the corresponding predetermined thresholds, and presenting the determined meeting place to each target person.

Embodiments for using an intelligent transaction optimization assistant by a processor. One or more actions to enhance a transaction experience of one or more users may be provided according to one or more selected constraints learned via a machine learning operation from previous transaction experiences, user behavior relating to the one or more previous transaction experiences, transaction experiences shared amongst entities associated with a social network, or a combination thereof.

At least one embodiment is directed to a computer-implemented method for using machine vision to categorize a locality to conduct product positioning analyses, the method including: generating locality profile scores for each locality of a plurality of localities using deep learning networks, where the locality profile score includes distributions of entity classes within the locality; extracting a set of entities having the same entity class from a group of localities; retrieving historical purchasing data for the entity set; and generating a sequence of products likely to be purchased by a target entity as a function of: the similarity of purchasing characteristics of the target entity with respect to other entities, product sequences found in product purchase of other entities, and entity profile weights extracted from the locality profile scores of other entities that have purchased one or more of the same products as the target entity.

A method of implementing sub-table replication starts with the processor detecting an update to an entitlements table. The processor performs filtering of a data table based on the update to the entitlements table. The data table including an entitlements column. The processor detects an update to the entitlements column and performs incremental replication of the data table by causing a version-based replication to be executed. Other embodiments are also described herein.

Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period. Disclosed example apparatus also include a distribution calibrator to calibrate the first behavioral distribution determined for the first convenience panel data associated with the first market based on (i) the second behavioral distribution determined for the second convenience panel data associated with the second market and (ii) the third behavioral distribution determined for the probabilistic panel data associated with the second market.