Disclosure includes selecting a merchant from a plurality of merchants, enabling a trial mode for the merchant, during the trial mode, receiving an indication of a first order for the merchant, forwarding the indication of the first order to the merchant, allocating a first payment for the first order to the merchant, requesting an acceptance of a membership status from the merchant, and receiving an indication of the payment for the first order.

An example method, executed by a processing system, includes receiving data from a data source, routing the data to a plurality of different data labelers to label the data, determining that an inflection point associated with an accuracy of the plurality of different data labelers is reached, re-routing additional data from the data source to a machine learning model, and activating the machine learning model to label the additional data.

Introduced here are computer programs and associated computer-implemented techniques for purchasing, selling, and/or transferring cryptocurrency to be disbursed as a reward for using a specialized payment card. The technology allows cardholders to receive cryptocurrency for completing transactions with specialized payment cards without requiring the card-issuing financial institution directly issue the cryptocurrency.

Provided is a computer-implemented method for predicting payment transactions using a machine learning technique that includes receiving transaction data, generating a categorical transaction model based on the transaction data, determining a plurality of prediction scores including determining, for one or more users, a prediction score in each merchant category of a plurality of merchant categories for each predetermined time segment of a plurality of predetermined time segments, where a respective prediction score includes a prediction of whether a user will conduct a payment transaction in a merchant category at a time associated with a predetermined time segment associated with the respective prediction score, determining a recommended merchant category and a recommended predetermined time segment of at least one offer, generating the at least one offer, and communicating the at least one offer to the one or more users. A system and computer program product are also disclosed.

Systems and methods for configuring and launching a marketplace are described. A method may include identifying an opportunity for a new marketplace, receiving marketplace opportunity data, determining configuration parameters, and determining a feasibility of implementing the new marketplace configuration. An architecture of the new marketplace may be determined, and marketplace objects configured. Data resources and their configuration in a model may be determined and the data resources connected to marketplace objects. The new marketplace may then be launched.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Described herein are systems and techniques for providing automatic distribution of transaction-related benefits to an account used to conduct a transaction. In certain embodiments, the system receives transaction details from a transaction processing network as transactions are conducted. The system determines an appropriate benefit provider for a transaction conducted from an account and provides a subset of transaction details to that benefit provider. The benefit provider compares the subset of transaction details to a set of limited transaction details received from a resource provider to identify the transaction and determine a benefit amount, if any, for which the transaction qualifies. The benefit provider then provides the benefit amount to the system, which then causes the transaction processing network to credit the account the benefit amount.

The disclosed technology for distributing a portion of a sales profit to purchasers if a product selling event is successful, thereby promoting product sales, wherein the sales profit distribution system may include a product payment unit adapted to allow a payment for the product to be made through a terminal of the purchaser; and a profit distribution unit adapted to calculate an individual distribution profit to be distributed to the purchaser from the distribution profit, and the sales profit distribution method may include the steps of: (a) performing a payment for the product by a terminal of the purchaser through a product payment unit; and (b) calculating an individual distribution profit to be distributed to the purchaser from the distribution profit through a profit distribution unit.

Methods and systems of facilitating at least one purchase over at least one network between at least one buyer and at least one seller are disclosed. Personal information from the at least one buyer can be stored. The personal information can be utilized to assign at least one account identifier to the at least one buyer. The at least one buyer can use the at least one account identifier to process payment over the at least one network for the at least one purchase from the at least one seller, such that the at least one seller does not obtain the personal information of the at least one buyer.

The present disclosure relates to an apparatus and a method for providing an information & communication technology (ICT)-based driver-specific evaluation analysis and compensation platform for two-wheeled vehicle driving. Particularly, the present disclosure relates to an apparatus and a method for providing a platform which creates mid-traveling driving information about a driver identified on the basis of biometrics, and which evaluates the driver on the basis of the driving information and then pays compensation to the driver according to evaluation results.