Wireless Subscriber Service Change Recommendations
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Solution Overview
Problem
Wireless communications network subscribers often incur excessive charges when their usage exceeds the limits of their service package, and there is a need to inform them of more cost-effective service packages or features that match their usage patterns.
Innovation Solution
A method that compiles records of subscriber usage metrics, compares them to thresholds, detects trigger conditions, and automatically suggests service changes, such as package upgrades or added features, to eliminate overages and optimize service plans based on individual usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If subscribers continue using their current service package, then they maintain their existing service level, but they incur excessive charges when usage exceeds package limits
Solution Approach 1:
The system continuously monitors subscriber usage metrics and provides feedback by automatically generating service change suggestions when usage patterns indicate potential overages. This feedback loop enables subscribers to adjust their service packages proactively based on real-time usage analysis, preventing excessive charges while adapting to changing usage needs.
Solution Approach 2:
The system performs preliminary analysis of usage metrics before subscribers incur excessive charges. By detecting trigger conditions based on usage thresholds and trends, the system generates service change suggestions in advance, allowing subscribers to switch to more appropriate packages before overages occur, thereby preventing rather than reacting to excessive charges.
2Ease of operation
If the system provides detailed service change suggestions, then subscribers receive personalized cost-effective solutions, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically monitoring usage metrics, analyzing usage patterns, generating service change suggestions, and notifying subscribers without requiring manual intervention. This automation reduces the need for complex human-operated systems while providing personalized, accurate recommendations based on individual subscriber usage behaviors.
Solution Approach 2:
The system changes parameters by monitoring multiple usage metrics (data usage, voice minutes, text messages) against configurable thresholds and trends. By dynamically adjusting which metrics to monitor and what thresholds to apply based on subscriber behavior patterns, the system provides accurate personalized suggestions without requiring overly complex fixed-rule systems.
Data Source
AI summary
A method of automatically suggesting service changes for a wireless communications network subscriber is provided. The method includes compiling a record of services used by the subscriber during a time period, determining one or more subscriber usage metrics, comparing the subscriber usage metrics to one or more thresholds, detecting a trigger condition including one or more of the usage metrics exceeding one or more of the thresholds, generating a service change suggestion, and informing the subscriber automatically of the suggested service change using the wireless communications network.