Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.

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.

Disclosed herein are system and methods for inventory management. The methods can comprise of receiving historical retail data relating to a first product, receiving market demand data relating to the first product, analyzing the historical retail data and the market demand data relating to the first product to determine: a projected number of sales of the first product for a specified time period and margin for each sale of the first product, determining a gross margin return on investment for the first product, determining an optimal stocking level for the first product, and outputting, for display, the optimal stocking level of the first product.

A method, system, and computer program product for predicting future transactions may obtain merchant data associated with a merchant; determine a geographic location associated with the merchant based on the merchant data; determine one or more other merchants within a first threshold distance of the geographic location; obtain transaction data associated with the one or more other merchants and the merchant; and predict, based on the transaction data, at least one of a future number of transactions for the merchant in a future time period and a future transaction amount for the merchant in the future time period.

A system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive travel data associated with a travel plan of a user indicating one or more travel destinations. The instructions cause the one or more processors to receive destination risk data indicating a destination risk of the one or more travel destinations associated with transmission of an infectious disease, receive personal risk data indicating a risk of the user associated with the infectious disease, and generate an infection travel risk score for the user based on the destination risk data and the personal risk data.

An approach is provided that receives multimedia content and extracts a set of metadata from the content. The extraction of metadata includes performing image analysis on the multimedia content. The approach then analyzes the set of metadata with the analysis resulting in a set of regulations that apply to the multimedia content. The approach compares the set of metadata to the set of regulations and allows publication of the multimedia content when the comparison reveals that the multimedia content is in compliance with the set of regulations, and inhibits publication of the multimedia content when the multimedia content fails to comply with the set of regulations.

Users form custom-defined communities for performing a defined activity amongst themselves. An actor defines the activity and restrictions associated with the activity. Members of the community place requests for the actor to perform member-specific actions during the activity on behalf of the members. The actor performs the activity with the member-specific actions and arranges procurement of results associated with each of the members. The actor and the members may also settle up with one another at least upon procurement. The activity is crowd sourced within the custom-defined community, thereby reducing the need for the members to each individually perform the activity.

Method, systems, and apparatus for identifying a plurality of properties based at least on a location; determining, for each of the plurality of properties using a machine-learned model, a vacancy metric representing a duration the respective property will be available for rent, wherein the machine-learning model is trained using availability data for the plurality of properties; sending, for display to a user, a user interface comprising the vacancy metric.

Systems and methods are disclosed for identifying a set of suitable coverage plans for a healthcare consumer. A starting coverage year and geographical location are received. The healthcare consumer is presented with an option to provide a list of prescription medicines as well as an option to provide an identification of one or more pharmacies and one or more preferred physicians. The healthcare consumer is presented with a user interface component for creating an account. A list of plans is presented based on the one or more geographical location parameters, the list of prescription medicines, and pharmacies, and the identification of one or more preferred physicians.

A system for providing health-related recommendations. The system includes at least one server configured to receive, from user device, information indicative of value of at least one bio-signal measured for user; determine fluctuation in value of said bio-signal as function of time; detect anomaly when fluctuation in value of said bio-signal satisfies predefined criterion; send request message to user device when anomaly is detected; receive, in response to request message, information pertaining to at least one action taken by user within predefined time period prior to time instant at which value of said bio-signal is measured; determine causality between said action and value of said bio-signal; determine at least one alternative action to be recommended to user, based on determined causality; and send, to user device, recommendation message recommending said alternative action to user.