G06Q30/0213

Habit-based rewards systems and methods
11830024 · 2023-11-28 · ·

The present disclosure is directed to systems and methods for determining one or more incentives for a user. For example, a method that may include: receiving a selection of an objective from among a plurality of objectives from a user via a client device; presenting, based on the selected objective, one or more incentives from among a plurality of incentives to the user, the plurality of incentives being based on a machine learning model trained to determine the plurality of incentives based on past purchases; receiving a selection of at least one of the one or more incentives from the user via the client device; and determining whether to allocate the selected one or more incentives based on a performance of the user.

Stock rewards in consumer transactions

A method that includes receiving a string from a remote station, the string associated with an interaction event between a user and the remote station, is provided. The method includes verifying that the string includes a content validation for a user account in a network service, mapping at least a portion of the string to a ticker symbol associated with an entry in a database and transmitting, to the user, a message indicating that a fractional value associated with the ticker symbol has been added to the user account in the network service. A system configured to execute the above method is also provided.

Social Network Driven Real-Time Multi-Player, Multi-Merchant, Multi-Bucket Discounting Social Commerce System With Value Tracking, Multi-Layer Commission Forwarding and Discount Processing Systems and Related Methods
20220277335 · 2022-09-01 ·

Methods for a buyer to receive a discount from a merchant or another member in a multi-merchant, multi-payer internet commerce platform in a social network. The methods relate to deals which include loyalty-based discounts, prepaid discounts and/or coupon discounts. A buyer may wish a deal form a selected merchant at a selected discount. Upon acceptance by the merchant, the deal is published and available to all members. Existing members may sponsor friends or businesses to become members of the internet commerce platform. New businesses listed on the internet commerce platform are subject to verification by current members entering business telephone numbers and determining if the entered numbers match. Further verification may include an interactive voice response test performed on the business manager's mobile telephone number.

Stock rewards in consumer transactions

A method that includes receiving a string from a remote station, the string associated with an interaction event between a user and the remote station, is provided. The method includes verifying that the string includes a content validation for a user account in a network service, mapping at least a portion of the string to a ticker symbol associated with an entry in a database and transmitting, to the user, a message indicating that a fractional value associated with the ticker symbol has been added to the user account in the network service. A system configured to execute the above method is also provided.

Dynamically financed customer engagement campaign
11379868 · 2022-07-05 · ·

In some examples a payment processing system processes transactions between a merchant and customers during a time period, and may determine financing terms including a redemption amount to offset discounts given by the merchant for the transactions during the time period. The payment processing system may identify an amount of the discount given by the merchant to respective customers for the transactions and payment amounts received from the respective customers. In addition, the payment processing system may deposit an amount in an account associated with the merchant. For instance, the amount may be based at least on the redemption amount determined based on the discounts given by the merchant for the transactions during the time period.

HABIT-BASED REWARDS SYSTEMS AND METHODS
20220237644 · 2022-07-28 · ·

The present disclosure is directed to systems and methods for determining one or more incentives for a user. For example, a method that may include: receiving a selection of an objective from among a plurality of objectives from a user via a client device; presenting, based on the selected objective, one or more incentives from among a plurality of incentives to the user, the plurality of incentives being based on a machine learning model trained to determine the plurality of incentives based on past purchases; receiving a selection of at least one of the one or more incentives from the user via the client device; and determining whether to allocate the selected one or more incentives based on a performance of the user.

APPARATUS FOR PROCESSING ITEM SALES INFORMATION AND METHOD THEREOF

According to the present disclosure, there is disclosed a method of processing item sales information in an electronic apparatus, the method including receiving a selection input of a user for one or more items, providing first benefit information related to the one or more items, and providing a page related to subscription of a specific membership in response to reception of an input related to the first benefit information based on account information of the user not corresponding to the specific membership, in which the first benefit information includes first discount information that is provided based on the account information of the user corresponding to the specific membership.

METHOD AND SYSTEM FOR REFUNDING A PURCHASE

A system and method for refunding selected purchases from a considerable number of purchases made during a given accumulation period. The refunding is based on a specific time of the execution of the transaction during the given accumulation period. The refund process is further based on the acceptance of the refund by the user on a main user device during a notification period or, alternatively, in the absence of the approval of the refund from the main user device during the notification period, the acceptance of the refund on an alternative user device. In the absence of acceptance of the refund from the alternative user device after an other notification period, the refund is sent to a quarantine account for claiming by the user for a quarantine period after which the refund will be diffused for alternative uses.

System and methods for building a digital asset based social media application and reward platform

The present disclosure relates to blockchain and social media, and more specifically, to a unified engagement platform that incentivizes blockchain use and provides avenues for companies to foster brand loyalty amongst consumers. In accordance with aspects and embodiments, a method of facilitating blockchain use is provided. The method comprises providing a social media platform in communication with a blockchain and providing each user of the platform with a blockchain account. Social media influencers and creators, brands, and retailer users of the platform, referred to as partners, are provisioned with a set of digital collectibles having value and are provided with tools to create additional digital collectibles. A partner's digital collectibles are distributed to non-partner users on the platform that support the partner, users referred to as supporters. Supporters may obtain digital collectibles by purchasing them, by engaging in social media activity that benefits the partner, offering the digital collectible, or digital collectibles may be offered by partners as contest and sweepstakes prizes. The platform uses the blockchain for the construction, management, and distribution of all digital collectibles, and each time a digital collectible is created or distributed, a transaction must be posted to the blockchain to complete the distribution.

Habit-based rewards systems and methods
11308513 · 2022-04-19 ·

The present disclosure is directed to systems and methods for determining one or more incentives for a user. For example, a method that may include: receiving a selection of an objective from among a plurality of objectives from a user via a client device; presenting, based on the selected objective, one or more incentives from among a plurality of incentives to the user, the plurality of incentives being based on a machine learning model trained to determine the plurality of incentives based on past purchases; receiving a selection of at least one of the one or more incentives from the user via the client device; and determining whether to allocate the selected one or more incentives based on a performance of the user.