Drone Reward Endpoints for Real-Time User Activity Feedback
Find Innovative SolutionsGenerate 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
Engineering 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
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.
2Ease of operation
If physical actions are implemented to provide immediate rewards, then user engagement is enhanced, but system complexity increases
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.
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.
Data Source
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.


