A computer system for identifying medical care providers outside a process-of-care standard for a field of health care is configured to perform steps that include retrieving claim line item information including procedure/service codes, and retrieving definitions for marker code groups associated with each of a set of medical conditions; deriving, for each marker-condition pair, an actual rate of utilization of the marker code group for episodes of the associated medical condition; and assigning a status to each marker-condition pair in response to the actual rate of utilization respectively exceeding or not exceeding a target rate. The steps also include aggregating the statuses across the marker-condition pairs to obtain an overall score, and causing an output to be displayed in a viewable format. The output includes the overall score, each marker-condition pair of the set of medical conditions, and the status for each marker-condition pair of the set of medical conditions.

A system for centralized planning and analytics for greenhouse growing of hydroponic produce, the system comprising: at least one greenhouse; an imaging system; a climate module; a forecasting system; a storage medium; a processor which comprises at least a machine learning algorithm which improves the accuracy and the yield forecast; and a network which provides a communication pathway for information to move between at least two of the group consisting of: the greenhouse, the imaging system, the climate module, the storage medium and the processor; wherein the forecasting system generates crop analytics from the imaging system; generates climate trends from the climate module disposed in each the at least one greenhouse; and uses a machine learning algorithm to determine yield forecast of the hydroponic produce.

The present invention refers to a digital method of centralizing, optimizing and negotiating the purchase of goods and services implemented by computer, wherein at least one authorised user (101) by the company or purchase centre (108), identifies the products (102) to be acquired and proceeds to consult with at least one potential supplier (103) through a digital purchase platform (109), hosted in a dedicated server, locally or in a cloud. The company or purchase centre (109) proceeds to validate the proposals (104) from the suppliers (103), and can create different, economically more advantageous choice scenarios from the proposals (104) that satisfy all the restrictions imposed by the company or purchase centre (109) and by the suppliers (103).

Systems and methods which provide for order fulfilment using drop shipping from participating suppliers in an electronic marketplace are described. A drop shipping management system may utilize various rules and information regarding merchants, suppliers, items, etc. in facilitating electronic marketplace drop shipping. Drop shipping management systems may, for example, utilize merchant drop ship rules with respect to merchant drop ship information for determining whether drop shipping is to be provided for a merchant with respect to one or more items in the electronic marketplace. Further, drop shipping management systems may utilize supplier drop ship rules with respect to supplier drop ship information in determining a supplier to provide drop shipping with respect to one or more items in the electronic marketplace. Drop shipping management of embodiments provides a many-to-many drop shipping solution in which multiple merchants are connected to multiple drop ship suppliers in an electronic marketplace environment.

The present disclosure provides systems and methods for displaying a real-world vehicle in an augmented reality environment. The system employs a user device camera to obtain image data of an environment that includes a real-world vehicle. The system analyzes the image data to identify the vehicle within the environment. A wireframe model of the vehicle is then generated and registered to the vehicle. The image data is displayed on the user device. In response to user input, the system may then attach a virtual vehicle accessory to the wireframe model. The accessory is then displayed on the user device display in an augmented reality environment such that the vehicle appears to seamlessly incorporate the accessory.

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.

An example method includes identifying, using a browser extension, content of a first webpage of a first website being displayed using a browser. The identifying of the content includes determining a product related to the content of the first webpage and determining that the product has been added to an electronic shopping cart. The method further includes determining a merchant that offers the product for sale and determining, based on a user account associated with the browser extension, a customer reward offered by the merchant and available to the user account. The method further includes determining that the browser has navigated away from the first webpage to a second webpage of a second website. The method further includes modifying the browser to display a graphical user interface element including information about the customer reward and a link configured to navigate the browser back to the first website.

Methods, systems, and apparatus to generate group transactions for an item are described. An item may be one or more of a product and a service. An acceptable price for an item may be obtained from a consumer. The consumer may be categorized into a group characterized by common price range. A group offer may be provided to one or more sellers and/or one or more buyers.

Embodiments provide systems and methods for processing information related to nutrient intake of a user associated with a user device. The method performed by a server system includes receiving a request to register the user with the server system through a health application installed on the user device. The method includes extracting user information from one or more sources and creating a user profile based on the user information. The method includes determining at least one nutrient for recommending to the user. The at least one nutrient is determined based on the user information. Further, the method includes comparing two or more products including the at least one nutrient. The method further includes facilitating a display of the comparison of at least a quantity of each ingredient in the two or more products on the health application installed on the user device.

Systems and methods are provided for characterizing groups of content creators within a membership platform. Exemplary implementations may: identify groups of content creators providing offerings to subscribers within a membership platform; obtain group information, the group information including values of group metrics of individual groups of content creators, the group metrics numerically describing non-monetary characteristics of the individual groups; obtain outcome information, the outcome information conveying monetary characteristics of the individual groups; train a machine learning model on input/output pairs to generate a trained machine learning model; store the trained machine learning model; determine, using the trained machine learning model, one or more group metric profiles that correspond to greater monetization, wherein an individual group metric profile includes a set of one or more values of one or more of the group metrics; and/or perform other operations.