Rule-Based Endpoint Actions for Immediate User Activity Feedback
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Solution Overview
Problem
Existing reward systems for users, such as those offered by merchants and issuers, often fail to provide immediate and tangible feedback for users' activities, leading to a lack of impact and connection between the rewards and the activities performed.
Innovation Solution
A system and method that link users' activities to immediate physical actions, such as tree planting or cleanup efforts, via drones or other endpoints, allowing users to see the direct impact of their actions in real-time or near real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional reward systems (points, miles, cash) are used, then users can earn rewards for purchases, but the rewards lack immediate and tangible feedback, reducing user engagement
Solution Approach 1:
The system implements immediate feedback by triggering visible physical actions (such as drone deliveries, unlocked doors, or activated devices) that directly respond to user activities. This creates a tangible connection between the user's action and the reward, eliminating the disconnect inherent in traditional point-based systems where users cannot see the direct impact of their activities.
Solution Approach 2:
The system pre-configures physical actions and rewards in advance through a rule engine, where sponsors define specific activities and their corresponding physical outcomes. When a user performs the predefined activity, the system automatically executes the predetermined physical action, ensuring immediate and consistent feedback without manual intervention.
2Reliability
If physical actions are implemented immediately via drones or endpoints, then user engagement and connection are strengthened, but system complexity increases
Solution Approach 1:
The system introduces a platform as an intermediary layer between users and the complex physical action execution infrastructure. This platform handles rule evaluation, activity verification, and coordination with multiple endpoints (drones, locks, devices), abstracting the complexity away from users while maintaining reliable connections between activities and rewards.
Solution Approach 2:
The system employs a universal rule engine and platform architecture that can handle multiple types of activities (purchases, app downloads, social media actions) and multiple types of physical rewards (drone deliveries, unlocked doors, activated devices) through a single unified system, reducing overall complexity despite the diverse functionality.
3Adaptability or versatility
If multiple endpoints (drones, locks, devices) are coordinated, then diverse physical actions can be performed, but the difficulty of detecting and measuring activities increases
Solution Approach 1:
The platform acts as a central intermediary that receives activity data from various sources, verifies it against predefined rules, and coordinates the appropriate physical actions across multiple endpoints. This centralized verification process simplifies the detection and measurement of diverse activities by providing a single point of truth for activity validation.
Data Source
AI summary
Systems and methods are provided for imposing physical actions, by endpoints, based on activities by users. One such method includes storing multiple rules in a data structure, where each of the multiple rules indicates a physical action to be performed in response to an activity, and then receiving, by a computing device, an activity message including data indicative of an activity of a user. The method also includes retrieving, by the computing device, one of the multiple rules from the data structure based on the data indicative of the activity and identifying, by the computing device, the physical action included in the one of the multiple rules. The method then includes transmitting, by the computing device, an order for the identified physical action to an endpoint, whereby the endpoint commands a drone to perform the identified physical action as a response to the activity of the user.