Correspondence information recorded by trusted entities is maintained up to date by monitoring user activity for location-based transaction data and determining by a machine learning algorithm when a piece of correspondence information has changed. When a change is detected, effected entities receive proposals for alternative temporary correspondence and formal change requests are submitted.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Methods, systems, and computer storage media for providing a data analytics index associated with a crisis-recovery data analytics engine in a data analytics system. The data analytics index is a consolidated single index representation of a set of variables associated with a set of consumer behaviors. The crisis-recovery data analytics engine supports generating the data analytics index associated with a pre-crisis period and a crisis-recovery period. In operation, a crisis-recovery dataset—associated with a set of variables of a set of consumer behaviors that support quantifying recovery from a crisis event—is accessed. The set of consumer behaviors are selected based on a crisis-recovery machine learning model that is trained on a pre-crisis dataset and a crisis dataset for selecting the set of consumer behaviors. A data analytics index is generated based on the crisis-recovery dataset. A data visualization comprising crisis-recovery data indicating recovery from the crisis event is generated.

Disclosed embodiments provide a real estate property analysis system and method. A user provides search criteria, lifestyle options, and/or style preferences. This data is provided to a machine learning system to select real estate properties based on the provided information. The selected real estate property information is provided in a list to a user. The user interface enables positive or negative feedback of each of the items in the list. The machine learning system periodically adjusts the list based on user feedback. Thus, disclosed embodiments streamline and sort listings based on user preferences and lifestyle priorities, thereby introducing them to refined real estate property choices. Taking into account a user's unique style and lifestyle priorities, disclosed embodiments can provide a personalized feed of real estate property listings ranked such that the closest matches appear first in the list, thereby simplifying the complex task of searching for a home.

Distributing resources in a predetermined geographical area, including: retrieving a set of metrics indicative of factors of interest related to operation of the resources for at least two parties, each having a plurality of resources, retrieving optimization policies indicative of preferred metric values for each party, retrieving at least one model including strategies for distributing resources in the predetermined area, the at least one model based on learning from a set of scenarios for distributing resources, retrieving context data from real time systems indicative of at least a present traffic situation, establishing a Nash equilibrium between the metrics in the optimization policies of the at least two parties taking into account the at least one model and the context data, distributing the resources in the geographical area according to the outcome of the established Nash equilibrium.

Systems and methods related to resource distribution for a fleet of machines are disclosed. A system may include a fleet of machines each having an associated resource capacity and a resource requirement to perform a task. The system may further include a controller having a resource requirement circuit to determine an aggregated amount of the resource requirement and an aggregated amount of the resource capacity. A resource distribution circuit may adaptively improve, in response to an aggregated amount of the resource capacity, an aggregated resource delivery of the resource.

Systems, methods, and graphical user interfaces (GUIs) for visualizing price-book data are provided. Product identifiers and associated price data points are ingested from a plurality of sources and stored in accordance with a product hierarchy. The product identifiers are furthermore organized into a plurality of price books that have a nested relationship with one another. A GUI is provided by which a user may execute an instruction to visualize a portion of the stored data, wherein the input comprises an indication of a subset of the plurality of product identifiers comprising an indication of one or more of the price books. In response to detecting the input, the system generates and displays a visualization based at least in part on the input. Users may further use the GUI to modify one or more price data points in a price book, including simultaneously modifying price data points across multiple price books.

The technology described in this document can be embodied in a computer-implemented method that includes receiving identification information associated with a geographic location. The identification information includes one or more features that affect an acoustic environment of the geographic location at a particular time. The method also includes determining one or more parameters representing at least a subset of the one or more features, and estimating at least one acoustic parameter that represents the acoustic environment of the geographic location at the particular time. The at least one parameter can be estimated using a mapping function that generates the estimate of the at least one acoustic parameter as a weighted combination of the one or more parameters. The method further includes presenting, using a user-interface displayed on a computing device, information representing the at least one acoustic parameter estimated for the geographic location for the particular time.

A method is provided that comprises determining a first time period during which a first product is available in an inventory at a point of purchase according to a model that uses (a) sales data, (b) inventory data, or (c) both sales data and inventory data. The inventory data comprises data from an inventory management system, sampled during the first time period, as an input. The method further comprises determining a second time period during which the first product is unavailable in the inventory according to the model and comparing a first time period sales data to a second time period sales data to determine a product unavailability effect. The method also comprises using the product unavailability effect to change an assortment at the point of purchase.

Provided is a computer-implemented method for providing real-time offers based on geolocation and merchant category. Transaction data for transaction from a plurality of merchants is received. A subset of merchants is determined based on the physical location of the merchants and the merchant category of the merchants. Real-time market activity data is determined for each of the merchants in the subset of merchants. A real-time offer is initiated based on comparing the market activity data of at least one merchant compared to the market activity data of a first merchant.