Drone Reward Endpoints for Real-Time User Activity Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Users do not receive immediate and effective feedback on their activities, as rewards from merchants and issuers are often disassociated from the actions taken, leading to insufficient impact and lack of timely connection between user behavior and rewards.

Innovation Solution

A system that links user activities to real-time or near real-time physical actions, such as tree planting or sustainability efforts, by using drones or other endpoints, where a platform receives activity messages and submits orders for these actions, providing immediate notification to users upon completion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If traditional reward systems are used where rewards are disassociated from user actions, then users can receive rewards for purchases, but the connection between user behavior and rewards is delayed and insufficient

Engineering Contradiction:
ImproveConnection between user action and rewardVSAvoidTime delay in reward delivery
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system implements immediate feedback by detecting user actions (such as purchases or app downloads) and automatically triggering corresponding physical rewards through drones or other endpoints. This creates a direct, real-time connection between user behavior and reward delivery, eliminating the disassociation and time delay inherent in traditional reward systems where points are awarded but not immediately connected to specific actions.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If physical actions are implemented to provide immediate rewards, then user engagement is enhanced, but system complexity increases

Engineering Contradiction:
ImproveUser engagementVSAvoidSystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system introduces a platform as an intermediary that automatically manages the complex coordination between user actions and physical reward delivery. The platform receives activity data, determines appropriate rewards, selects suitable endpoints (such as drones), and orchestrates the entire process. This intermediary layer shields users from system complexity while enabling immediate physical rewards, thus enhancing engagement without requiring users to understand or interact with the underlying complex infrastructure.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements automated self-service mechanisms where the platform automatically detects user actions, selects appropriate rewards, and triggers physical delivery without human intervention. The system autonomously matches user behaviors with predefined reward rules, selects optimal delivery methods, and executes the entire reward process automatically. This self-service approach reduces operational complexity while maintaining high user engagement through immediate, tangible rewards.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11709505B2Systems and methods for imposing physical actions, by endpoints, based on activities by users
Publication Date: 2023.07.25 MASTERCARD INT INC
  • US11709505B2 patent drawing
  • US11709505B2 patent drawing
  • US11709505B2 patent drawing

AI summary

Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes imposing a physical actions via a drone, by an endpoint associated with the drone, based on an activity undertaken by a user. The method includes receiving, by a computing device, an activity message including data indicative of an activity of a user and retrieving at least on rule from a data structure based on the data indicative of the activity where the at least one rule includes a physical action for said activity of the user. The method then includes identifying, by the computing device, the physical action from the at least one rule and transmitting, by the computing device, an order for the physical action to an endpoint, whereby the endpoint commands a drone to perform the physical action.