US 11,741,491 B2Granted

Distribution of fractional equity rewards based on purchase behavior

AssigneeApex Fintech Solutions Inc.

InventorDavid A. Nelsen

Life of this patent

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Abstract

Herein disclosed are systems and methods for distributing fractional equity rewards to users of a loyalty platform based on tracked user loyalty purchases. The disclosed systems and methods may reduce time between a user loyalty purchase and distribution of a fractional equity reward determined based on the user loyalty purchase. In one example, by maintaining a pre-purchased supply of shares within an inventory account of the loyalty platform, and by distributing fractional equity rewards to user accounts on the loyalty platform from the pre-purchased supply, a reduction in reward distribution time may be enabled. Further, by maintaining the pre-purchased supply of shares of stock within the inventory based on a running average rate of fractional equity reward distribution, and predicted events, the amount of stock in the inventory may be intelligently controlled to reduce excess inventory, while reducing a probability of reward distribution delay.

Claims20

Dependent claims

A method comprising:

aggregating, with an equity allocation system of a loyalty platform comprising one or more computing systems, a plurality of dollar reward amounts corresponding to a business, wherein the plurality of dollar reward amounts is based on a plurality of tracked user loyalty purchases from the business tracked automatically by the loyalty platform, and wherein the equity allocation system comprises instructions executable by one or more processors to direct an inventory account to aggregate the plurality of dollar reward amounts;
displaying, via the loyalty platform, an equity reward status to one or more user computing devices associated with one or more of the plurality of tracked user loyalty purchases;
executing, with the equity allocation system, a whole share purchase of stock in the business based on the aggregated dollar reward amounts exceeding a pending reward threshold, wherein the equity allocation system directs an average price account to perform the whole share purchase from a clearing house, wherein the whole share purchase is executed using funds in a merchant deposit account of the loyalty platform, the merchant deposit account associated with the business;
automatically adding, with the equity allocation system, a number of whole shares purchased in the whole share purchase to the inventory account to form a pre purchased supply of shares of stock, wherein the equity allocation system directs the average price account to transfer to the number of whole shares to the inventory account;
determining, with the equity allocation system, a plurality of fractional share amounts based on an execution price of the whole share purchase and the plurality of dollar reward amounts;
automatically distributing, with the equity allocation system, the plurality of fractional share amounts to a plurality of user accounts from the pre-purchased supply of shares of stock in the inventory account, wherein the equity allocation system directs the inventory account to transfer each fractional share amount of the plurality of fractional share amounts to a corresponding user account of the plurality of user accounts;
responsive to distributing the plurality of fractional share amounts, automatically displaying, via the loyalty platform, an updated equity reward status via the one or more user computing devices;
and
dynamically adjusting, automatically with the equity allocation system and in real time, the pre-purchased supply of shares of stock to maintain the pre-purchased supply between an upper supply threshold and a lower supply threshold that are each dynamically adjusted based at least on a running average rate of fractional equity reward distribution, where the plurality of tracked user loyalty purchases is tracked automatically by the loyalty platform based on output from a transaction model.

6 more elements

A computing system, comprising:

a processor;
and
a memory storing instructions executable by the processor to:
receive, from a third-party aggregator, a transaction history for one or more financial accounts associated with a user;
automatically determine a set of businesses associated with transactions in the transaction history;
generate an equity rewards list comprising a plurality of businesses including a first business selected from the set of businesses, the first business included in a first market of a rewarding-business index stored in the memory;
display, via a display operably coupled to the computing system, the equity rewards list;
responsive to receiving an indication the user has confirmed the equity rewards list, update a profile of the user stored in the memory to enroll the user in a first rewards program for the first business and one or more additional rewards programs for remaining businesses of the plurality of businesses;
automatically award the user with an equity reward in response to identifying that a subsequent first user purchase at the first business has occurred;
automatically determine that a second user purchase at a second business has occurred, the second business included in the first market, and in response displaying, via the display, a loyalty-switch offer including an option for the user to switch loyalty from the first business to the second business;
responsive to the user accepting the loyalty-switch offer, update the profile of the user to remove the user from the first rewards program and enroll the user in a second rewards program for the second business;
present an interface element via a user interface on the display, the interface element being selectable to request a rebalancing of equity in a loyalty rewards platform account of the user;
and
responsive to receiving user input selecting the interface element, automatically perform the rebalancing of equity to move equity in the first business to the second business.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/444,048Filed 29 Jul 2021 · continuation in part
Priority: 10 Aug 2017
Published: US 2021/0398163 A123 Dec 2021
Granted: 29 Aug 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification10 codes

G06Q 30/0228
Frequent usage incentive value reconciliation between diverse systems: on-line clearing houses
G06N 3/02
Computing arrangements based on biological models: neural networks
G06N 3/0499
Architecture, e.g. interconnection topology: feedforward networks
G06N 3/09
Learning methods: supervised learning

Family

Application62/543,884Us provisional application · filed 10 Aug 2017
Application62/697,284Us provisional application · filed 12 Jul 2018
Application16/101,363Parent of this continuation-in-part · filed 10 Aug 2018
Application16/101,304Parent of this continuation-in-part · filed 10 Aug 2018
Application62/717,741Us provisional application · filed 10 Aug 2018
Application62/717,736Us provisional application · filed 10 Aug 2018
Application62/717,638Us provisional application · filed 10 Aug 2018
Application62/717,743Us provisional application · filed 10 Aug 2018
Application16/537,470Parent of this continuation-in-part · filed 9 Aug 2019
Application16/537,472Parent of this continuation-in-part · filed 9 Aug 2019
Application16/537,476Parent of this continuation-in-part · filed 9 Aug 2019
Application16/537,452Parent of this continuation-in-part · filed 9 Aug 2019
US 2021/0398163 A1Pre-grant publication · published 23 Dec 2021
US 11,113,709 B2Parent of this continuation-in-part
US 2019/0050884 A1Published application
US 2019/0050887 A1Published application
US 2020/0051111 A1Published application
US 2020/0051112 A1Published application
US 2020/0051113 A1Published application
US 2020/0051116 A1Published application
US 11,741,491 B2This patent

From the US filing history. Foreign family members aren’t listed.