MVNO Subscriber Mapping for Dynamic Pooled Data Cost Control
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Solution Overview
Problem
Mobile Virtual Network Operators (MVNOs) face challenges in managing subscriber mapping to tiered pricing plans, leading to unnecessary data usage and increased costs due to changing consumption habits and inefficient tier allocation.
Innovation Solution
An automated tool utilizing a minimization algorithm optimizes subscriber mapping to pooled data pricing plans, minimizing monthly costs by predicting data consumption and adjusting tier allocations dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If MVNO maps subscribers to fixed pricing tiers initially, then subscriber management is simplified, but cost optimization deteriorates as consumption habits change over time
Solution Approach 1:
The system implements dynamic tier reassignment by continuously monitoring subscriber data consumption patterns and automatically adjusting pricing tier mappings. Instead of fixed initial mappings, the system recalculates optimal tier assignments based on evolving consumption habits, ensuring cost optimization while maintaining operational simplicity through automated processes.
Solution Approach 2:
The system establishes a feedback loop where data consumption metrics are continuously collected from subscribers, analyzed to identify consumption pattern changes, and used to trigger automated tier reassignments. This feedback mechanism ensures that tier mappings remain optimized according to actual usage while keeping the management process simple and automated.
2Reliability
If MVNO assigns higher data tiers to ensure adequate coverage, then service quality is improved, but unnecessary data usage and costs increase
Solution Approach 1:
The system dynamically adjusts the data tier parameters assigned to each subscriber based on actual consumption patterns. By monitoring usage metrics and identifying when subscribers consistently operate well below their allocated tier levels, the system reassigns subscribers to lower tiers that better match their actual needs, reducing unnecessary data allocation while maintaining adequate service quality.
3Loss of energy
If MVNO manually monitors and adjusts subscriber tiers, then cost optimization can be achieved, but operational complexity and time consumption increase
Solution Approach 1:
The system implements self-service automation where algorithms automatically monitor subscriber consumption patterns, identify optimization opportunities, and execute tier reassignments without human intervention. This eliminates the need for manual tier management while achieving cost optimization, freeing up operational time and resources.
Solution Approach 2:
The system replaces manual mechanical tier management processes with automated computational algorithms. Instead of human operators manually reviewing and adjusting subscriber tiers, the system uses automated data analysis and decision-making algorithms to perform real-time optimization, dramatically reducing time consumption while maintaining cost optimization benefits.
4Loss of energy
If MVNO uses pooled data pricing plans with decreasing rates per tier, then cost efficiency improves at higher tiers, but subscribers are overcharged when they consume less than allocated
Solution Approach 1:
The system performs preliminary analysis of subscriber consumption patterns to predict future usage trends before making tier assignment decisions. By proactively identifying subscribers who are likely to consume less data based on historical patterns and external factors, the system pre-adjusts tier assignments to prevent overcharging before it occurs, while still allowing access to lower per-GB rates when appropriate.
Data Source
AI summary
The disclosure generally shows systems and methods for optimizing MVNO subscriber mappings to pooled data pricing plans offered by MNOs with different tiered data pools are variously linked to different MVNO subscribers. The system receives and processes raw CDR data provided by the MNO. The system may then poll a backend server to receive data concerning subscriber ID assignments and subscriber activations/deactivations for the MVNO. Then the system determines optimal plan changes for each subscriber based on expected usage and pushes those plan changes to a Wholesale API Proxy that communicates with the MNO to implement the mapping changes to the pooled data pricing plan.