Zone of Relevance Notification System for Cost-Effective Location Services
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Solution Overview
Problem
Existing location-based services face challenges in efficiently and cost-effectively locating and notifying end users without sophisticated mobile devices, as they often rely on device intelligence and incur high costs due to repeated location determination transactions.
Innovation Solution
A computer-implemented method that uses enterprise and end-user databases, geographical databases, and dynamic inputs to determine a zone of relevance and notification value-cost ratio, allowing for optimized location determination and notification methods without relying on mobile device capabilities, thereby reducing costs and increasing reach to end users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repeated location determination transactions are performed to locate end users, then location accuracy and notification effectiveness are improved, but costs increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining zones of relevance and pre-evaluating notification values before actual location determination is needed. This allows the system to make informed decisions about whether to perform expensive location transactions based on predicted values rather than reacting after costs are incurred.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring notification values, costs, and outcomes to optimize future decisions. Historical data and real-time feedback about user behavior and notification effectiveness are used to refine the balance between location accuracy and cost efficiency.
2Adaptability or versatility
If server-side location determination is used instead of mobile device capabilities, then service reach to diverse users is improved, but transaction costs and processing requirements increase
Solution Approach 1:
The system introduces an intermediary layer of value assessment and decision logic that sits between the server and the location determination process. This intermediary evaluates notification values and costs before triggering location transactions, allowing the server to adapt to diverse user scenarios without unnecessarily incuring processing costs.
Solution Approach 2:
The system dynamically changes parameters such as zone of relevance boundaries, notification thresholds, and transaction triggers based on real-time conditions and historical data. This allows the server to adapt its behavior to different user types and scenarios, optimizing both reach and cost efficiency.
3Ease of operation
If location-based services are implemented with exclusive reliance on server-side capability, then user accessibility is improved, but the cost-effectiveness of the service deteriorates
Solution Approach 1:
The system enables a form of self-service by automatically evaluating notification values and making decisions about location transactions without requiring manual intervention. The server-side system autonomously assesses costs, values, and outcomes to optimize service delivery while maintaining ease of use for end users.
Data Source
AI summary
A computer-implemented method for determining a zone of relevance for locating a wireless end-user and making a user notification decision including: storing information related to the enterprise in an enterprise database; storing information related to the end-user in an end-user database; accessing said enterprise and user end databases to extract enterprise and end-user related information; accessing a geographical database to extract geographic information, based on information obtained from the enterprise database; extracting relevant dynamic inputs from external sources via a predefined application programming interface; determining a value for the user notification based on weighting of said extracted information and historical use information; determining a zone of relevance for the wireless end-user; and notifying a user, wherein notifying the user meets predetermined criteria for the determined value of notification.