A system, method, and computer-readable medium are disclosed identification of demand for documentation for particular languages and facilitate modification of documentation to the particular languages based upon demand. A multi-region document revision model which includes a correction factor, provides for monitoring of how information is being consumed in different regions via different platforms. Identification is performed for demand for documentation for particular languages and facilitates modification of documentation to the particular languages based upon demand. Various internal and external social media platforms are searched to provide a data set which can then be used to customize a language set for a particular language. In certain implementations the documentation includes respective semantic files which are used by a /business unit to validate and update the documentation.

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 method for providing on-demand service information is provided. One or more processors determine, for a given geographic region, position information for each of a plurality of requesters for an on-demand service and position information for each of a plurality of service providers that can provide the on-demand service. A plurality of sub-regions is identified for the given geographic region. Based, at least in part, on the position information of the requesters and the service providers, one or more sub-regions are determined as being under-supplied by the plurality of service providers as compared to one or more other sub-regions. Information identifying the under-supplied sub-regions are provided to one or more service provider devices.

Embodiments of a system may comprise databases and a processor that receives a first filter item and a database filter item, generates a first database based on the first filter item, integrate data from the first database into the user database to create an updated plurality of user records, generate a second database based on a selected set of records, in the updated plurality of user records, corresponding to the database filter item, determine metrics that correspond to the second database, generate a model to segregate the second database using the metrics, receive criteria, compare the segregated second database with the criteria to remove records that do not meet the criteria, cause a subsequent update to the updated second database to integrate data from the event database to create an updated diminished second database, and generate a notification including information included in the updated diminished second database.

An object handling coordination system includes a plurality of transporting vessels arranged as a three-dimensional cluster of transporting vessels. The plurality of transporting vessels is addressable and the cluster has a self-reconfigurable physical topology. A relocatable transporting vessel is configured to be relocatable within the. A motion control system is configured to determine a path from a start location of the relocatable transporting vessel within the cluster to a destination location within the cluster and arranged to execute movement of the relocatable transporting vessel within the cluster using the determined path.

Systems and methods for executing an incoming transaction in response to a transaction location parameter associated with a plurality of tax treatment values are disclosed. An example system may include a smart wrapper to interpret a transaction request from a user, including a transaction amount value and a cryptocurrency type or a transaction location. The transaction location may be a geographic location, or a transaction jurisdiction. A transaction locator circuit may determine a transaction location parameter in response to the transaction request and, a plurality of tax treatment values corresponding to a plurality of transaction locations and select an available one of the plurality of transaction locations having a favorable tax treatment value. The smart wrapper may also direct an execution of the incoming transaction in response to the transaction location parameter.

Systems and methods for commanding an execution of a plurality of transactions in response to an improved at least one execution parameter are disclosed. An example system may include a controller having a transaction detection circuit to interpret a plurality of transaction request values, and transaction descriptions for a proposed or an imminent transaction, including a cryptocurrency type value and a transaction amount value. A transaction support circuit may interpret a support resource description including at least one supporting resource for the plurality of transactions. A support utilization circuit may operate an expert system configured to use machine learning to continuously improve at least one execution parameter for the transactions relative to the support resource description. A transaction execution circuit may command execution of the plurality of transactions in response to the improved execution parameter.

Systems and methods for predicting a present facility outcome based on historical facility outcomes. An example system may include a production facility with a production task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values and corresponding outcomes. The controller may further include a facility prediction circuit with an adaptive learning system to train a facility production predictor in response to the historical facility parameter values and corresponding outcome values. The facility description circuit may also interpret present state facility parameter values and the facility prediction circuit operates the adaptive learning system to predict a present state facility outcome value in response to the present state facility parameter values. The adaptive learning system may determine input values related to outcome values, remove input values that are unpredictive of outcomes, and determine relationships between the input and output values.

Systems and methods for adjusting a configuration of a facility AI component to produce a favorable facility output value. An example system may include a facility with a core task and a controller. The controller may include a facility description circuit to interpret historical facility parameter values, facility resource profiles, and corresponding historical facility outcome values. The controller may further include a facility prediction circuit to operate an adaptive learning system configured to train a facility artificial intelligence (AI) configuration circuit in response to the historical facility parameter values and the corresponding outcome values. The facility description may also interpret a plurality of present state facility parameter values and the AI configuration circuit may adjust, in response to present state facility parameter values, facility resource profiles and a configuration of a facility AI component to produce a favorable facility output.

A network apparatus receives a language request provided by a requesting user apparatus. The network apparatus generates and provides poll requests to responding user apparatuses and receives poll responses from the responding user apparatuses. Each poll response is associated with a language and indicates a current location of the corresponding responding user apparatus. Based on the poll responses, the network apparatus identifies areas or points of interest (POIs) that have a density of poll responses that (a) indicate a current location that corresponds to the area and/or POI and (b) is associated with a particular language. The network apparatus generates and provides a request response comprising information identifying at least one density area and/or POI. The requesting user apparatus receives the request response and provides information regarding the at least one density area and/or POI via an interactive user interface.