A method, system and computer program for providing a loyalty engine for automated cause marketing. The method can include a charity linking merchants and sponsors to the loyalty system. Once the merchants and the sponsors are linked and the members are registered, merchant defined rules can instruct a loyalty engine as to the level of donations in connection with one or more transactions by a member that is associated to the loyalty program. The loyalty system can include a reporting facility to allow the merchant to track transactions with members in a number of ways. A system is also provided that can consist of a server including the loyalty engine and the charity utility. The charity utility can provide the functions of the method and can be linked to the networked server.

A client device detects a QR code (or NFC tag). The client device decodes the QR code. The client device determines that the data encoded within the QR code includes a URL. Based on the URL, the client device sends a first request to a first server identified by the URL. In response to the first request, the client device receives from the first server data configured to cause the client device to display, to a user of the client device, at least one of: a video or an interactive web page. Responsive to the data encoded in the QR code, the client device sends to a coupon server: identification data associated with a user of the client device, and a request for the coupon server to distribute a digital coupon for an offer associated with an identifier encoded within the QR code to an account associated with the user.

A client device detects a QR code (or NFC tag). The client device decodes the QR code. The client device determines that the data encoded within the QR code includes a URL. Based on the URL, the client device sends a first request to a first server identified by the URL. In response to the first request, the client device receives from the first server data configured to cause the client device to display, to a user of the client device, at least one of: a video or an interactive web page. Responsive to the data encoded in the QR code, the client device sends to a coupon server: identification data associated with a user of the client device, and a request for the coupon server to distribute a digital coupon for an offer associated with an identifier encoded within the QR code to an account associated with the user.

A vehicle control device includes a memory that stores program instructions and a processor that executes the program instructions. The processor may obtain at least one of sunlight amount information, temperature information, location information, or time information, and in response, may provide a reward to a user of the vehicle control device in the form of mileage in response to the user transmitting at least one of the obtained sunlight amount information, the obtained temperature information, the obtained location information, or the obtained time information to a server. The mileage may be used as payment for a good, information, or a service, which is identified based on an input of the user of the vehicle control device.

A system and method for operating a reward points accumulation and redemption program wherein a user earns reward points from a plurality of independent reward points issuing entities, with each tracking the user's earned reward points in a user reward point account stored on a multi-function card (such as a frequent flyer account or a credit card loyalty account). The multi-function card is adapted to aggregate some or all of the user's earned reward points from the reward accounts and credit the aggregated points into a single reward exchange account on the multi-function card. The user may then select an item for purchase with the accumulated reward points from the multi-function card. The item is provided to the user in exchange for a subset or all of the reward points from the multi-function card.

In one embodiment, a method includes receiving at a server computing device of an institution network via the institution network a first notification comprising token-based interaction requests for a user interaction with an entity and a second notification indicating an authorization of a non-token based interaction request of the user interaction by a communication network, wherein the entity and the communication network are each separate from the institution network, sending a third notification identifying the user interaction, a client computing device or a user, and the token-based interaction requests by the server computing device to an institution, receiving a fourth notification authorizing the token-based interaction requests at the server computing device and from the institution via the institution network, and sending a fifth notification to the client computing device updating that the token-based interaction requests having been applied to the user interaction by the server computing device.

A computerized method analyzes past transactions using machine learning (ML) models. A group of transactions associated with an account is obtained and the group of transactions is converted into a group of transaction strings using a subset of transaction features. For each transaction string in the group of transaction strings, a transaction token based on the transaction string is generated using a token vocabulary of a tokenizer. The generated transaction tokens associated with the group of transaction strings are provided to a ML model as input and an estimated transaction token is generated by the ML model based on the provided transaction tokens. The generated estimated transaction token is transformed into an estimated transaction using a de-tokenizer associated with the tokenizer. A new transaction associated with the account is approved using the estimated transaction, wherein the estimated transaction is compared to the new transaction.

Disclosed in an information processing apparatus for promoting further improvement in usability for a user who refers to makeup on another person. The information processing apparatus includes a generation unit and a determination unit. The generation unit generates, from a facial image of a poster who puts on predetermined makeup, makeup information for generating a facial image in which makeup similar to the predetermined makeup is applied to a facial image. The determination unit determines a reward to be given to a poster who has posted the facial image from which the makeup information is generated according to a usage situation of a facial image in which the makeup information is applied to a facial image of a user.

A computer implemented preventative health care and health intervention application is described. The application includes a scoring system to score an overall health of the member, including breakdowns scoring the member's initial physical health, mental health, and an initial score for the lifestyle of the member. One or more health care providers are assigned to and/or selected by the user. The health care providers assess which health intervention programs are best suited to meet the goals of the member and to improve the score for the member's health. The score is re-evaluated when the member meets a minimum threshold of participation and attendance in the one or more selected health and health intervention programs. The score evaluation includes review of attendance, participation information, data collected from sensors and wearable devices, as well as based on predictive analytics integrated into the preventative health care and health intervention program.

A social networking system is provided. The system encompasses a robust processing subsystem hosted on a server, comprises various modules including a registration module linking social media accounts, a blockchain-backed bio page module storing audience metrics, a payment gateway with a reward system, and a CRM module offering dashboards for influencers, brands, agencies, and followers. An analysis module integrates natural language processing to assess content tone, engagement, and sentiment. A button module generates emoticon categorization and auto-suggestions based on metadata, leveraging machine learning for predictions. A compliance analysis module ensures adherence to regulations in paid social media content, and a royalty distribution module calculates and allocates royalties based on engagement, location, compliance, and fan type via smart contracts. This comprehensive subsystem integrates functionalities to elevate user interaction, content analysis, and monetization opportunities within the social media platforms.