A method for lease management includes receiving vehicle data, context data, and lease data related to a vehicle being leased by a vehicle occupant according to a set of leasing terms. At least the vehicle data is received from the vehicle. The method includes analyzing the vehicle data, the context data, and the lease data to predict a future event associated with the vehicle to offer a transaction offer. Further the method includes, selecting a bundle product for the transaction offer from a plurality of products based on the vehicle data, the context data, and the lease data. Upon detecting a start of the future event, the method includes transmitting the transaction offer including the bundle product.

A computer system includes a memory configured to store instructions, and one or more processors configured to execute the instructions to cause the computer system to perform a method for event detection. The method includes obtaining a user profile and a persona category associated with the user profile corresponding to a user; receiving first data associated with the user and second data associated with one or more environmental or situational factors; detecting an event based on the first data or the second data; and querying a database in response to the detected event to determine one or more recommended actions for the user based on the user profile and the persona category of the user.

Particular embodiments receive, by at least one computing device of a payment service, a request to configure a goal to associate with a user account of a user, where the goal is associated with a condition that, when satisfied, causes an incentive to be associated with the user account. The at least one computing device generates a data object for tracking completion of the goal, where the data object is stored in a datastore by the payment service. The at least one computing device monitors, in near-real-time, at least one of managed transaction data associated with users of the payment service or interaction data associated with the user. The at least one computing device determines, based at least in part on comparing at least one of the transaction data or the interaction data to at least the condition, satisfaction of the condition.

A computer system, including: a downloadable application to operate on a mobile device of a customer, the downloadable application including instructions to browse and select items on web pages of an online seller, wherein the downloadable application enables the customer to select a desired price for a promotional product of the online seller; a consumer service provider in communication with the downloadable application of the mobile device, the consumer service provider to promote the promotional product of the online seller.

This application relates to systems, methods, devices, and other techniques that can be utilized to simulate and analyze behaviors of customers in a retail environment.

A management system operates in conjunction with entities to provide component recommendations for objects. The management system trains a machine learning model used to generate the component recommendations. The machine learning model is trained based on historical component entries describing components previously provided and identifiers of the components. The management system generates training data by classifying the historical component entries into predetermined component classifications. After the machine learning model is trained, the management system generates a customized recommendation of components for an object based on likelihoods of selection of the predetermined component classifications.

A system, method, device, and platform for performing a gaming utilizing blockchain. A player profile is created in response to information received from a player. Gaming information is received from the player associated with the one or more games. Selections are assigned to the player for the one or more games utilizing player profile and the gaming information. Winners and a host with each of the one or more games of the one or more games are compensated once the one or more games are completed. The player profile, the gaming information, the selections, and the winners are documented utilizing the blockchain.

Systems and methods for market value at risk evaluation are disclosed. In one embodiment, a method for performing a calculation workflow may include (1) a server comprising a computer processor receiving a request for a calculation; (2) the server receiving at least one data parameter; (3) the server identifying a plurality of workflow components required for the calculation; (4) the server identifying dependencies for each identified workflow component; (5) the server ordering the identified workflow components based on the dependencies for each workflow component; (6) the server retrieving data to conduct the calculation; and (7) the server performing the requested calculation using the ordered workflow components based on the data parameter and the data.

A computing device provides shoppers with a frictionless commerce experience. The computing device determines, tracks, and stores certain physical characteristics and/or attributes of the products selected by a shopper for purchase. The device analyzes these attributes with respect to the shopper's particular purchasing habits and uses the results of that analysis to recommend products to the shopper. Additionally, the computing device may modify the sales price of the product, or augment the shopper's order with the same or similar products, based on the results of the analysis.

A method of multi-platform social media advertising and revenue sharing via digital overlays on real-time video feeds enables a host streamer profile to select and display one or more advertisement elements on a real-time video feed, which is broadcast on a host social media platform in addition to being broadcast to one or more third-party platforms. The advertisements may be chosen through various means and customized by advertisers according to desired parameters. Each advertisement is associated with a financial compensation amount. After an advertisement or advertisements are displayed on the real-time video feed, the financial compensation amount is distributed among the host streamer profile, the host platform, and each of the at least one social media platform, thus incentivizing each to participate in the social media advertising and revenue sharing system.