The discussion relates to context-aware environments. One example can include inwardly-facing cameras positioned around a periphery of an environment that defines a volume. The example can also include sensors positioned relative to the volume and configured to communicate with a user device in the volume. The example can also include an ambient perception component configured to track user locations in the volume and to detect user gestures relative to objects in the volume, and responsive to receiving a query from the user's device, to supplement the query with information derived from the objects.

A method implemented on a dongle device for controlling menu board items on an attached display device includes receiving content for a menu board from an electronic computing device. The menu board content is transferred to the display device for display on the display device. Information is received regarding sales of items listed on the menu board. The information identifies purchasing trends for the items listed on the menu board. A display of the menu board items is dynamically updated based on the identified purchasing trends.

Buyer profile management is described herein. In an example, a payment processing service can store, in a database, buyer profiles associated with buyers involved in transactions with one or more merchants of the payment processing service. The payment processing service can receive transaction data associated with a new transaction between a buyer and a merchant and can determine whether the transaction data corresponds to any of the buyer profiles. Based at least in part on determining that the transaction data corresponds to one of the buyer profiles, the payment processing service can update the database storing the buyer profiles, wherein updating the database comprises merging two or more buyer profiles. A recommendation can be made based on the merged buyer profile prior to completion of the new transaction.

Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.

Disclosed is an apparatus for measuring air quality, the apparatus comprises a first sensor circuit; a second sensor circuit; a third sensor circuit; a communication circuit configured to communicate with an external server; a display; a processor; and a memory, wherein the memory stores instructions that, when executed, cause the processor to: detect air quality related information by using the first sensor circuit, obtain at least one of movement information detected by using the second sensor circuit or adjacent environment information detected by using the third sensor circuit while the air quality related information is detected, determine validity of the air quality related information from using the first sensor circuit based on the adjacent environment information or the movement information, display the air quality related information from using the first sensor circuit or air quality related information received from the external server based on the determined validity.

A system for providing visual crop data to a mobile device includes at least one server computer in communication with a mobile device. The at least one server computer is configured to receive location data relating to a geographical position of the mobile device; retrieve topographical data associated with at least a portion of the location data; generate shape data based at least partially on the topographical data; and transmit at least a portion of the shape data to the mobile device, such that at least one shape is visually displayed on at least a portion of a map image displayed on the mobile device. Also disclosed is a computer-implemented method and computer program product for providing and/or interacting with visual crop data, including appropriately communicatively connected hardware components.

The embodiments of the present disclosure provide systems and methods for managing inventory placement, comprising a memory storing instructions and at least one processor configured to execute the instructions. The processor may be configured to receive an identifier of a product for inventory placement, and determine, based on historical shipment data stored in a database, a region with the highest customer demand for the product. The processor may predict, using a machine learning algorithm, a product tag associated with the product based on at least a temperature associated with the region with the highest customer demand for the product. The processor may further modify the database to assign the product tag to the product identifier, and assign the product for placement in a fulfillment center. The fulfillment center may be associated with a fulfillment center tag corresponding to the product tag assigned to the product.

A method, computer system, and computer program product that aggregates sample data regarding a plurality of factors associated with employment and geographic location; performs iterative analysis on the sample data using machine learning to construct a predictive model; populates, using the predictive model, a database with predicted values of real estate demand for a selected set of predefined geographic regions; converts the predicted values of real estate demand in the database into percentages of observed values of real estate demand for geographic regions within the selected set over a specified time period to create indices of real estate demand; and rank orders the geographic regions within the selected set according to their indices of real estate demand.

A pricing engine may be provided for automatically setting pricing or repricing of goods simultaneously according to a set of rules and objectives. The pricing engine may utilize a database of internal data and external data. The pricing engine may use the data to segment the goods. The engine may further apply pricing rules to the segmented goods, reconcile any deviations using a control framework, and provide a comprehensive output.

A System and method for the application of in-memory analysis of network data applied to spatial market segmentation with demand estimates and competitor information comprising multiple data extractors, a descriptive module, a predictive module, a learning module, at least one application programming interface, and a visualization tool are disclosed. An example of network data is machine readable data that is acquired through an application programming interface. An example of in-memory analysis is the use of in-memory processing and storage objects. A descriptive module is configured to produce market features. An unsupervised learning module is configured to produce market segments and a visualization tool is configured to evaluate one or more market scenarios and to display market features with maps and charts.