Communications Node Promotional Automation via Behavioral Analysis
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Solution Overview
Problem
Existing communication service billing systems are inflexible and static, failing to dynamically reflect changes in customers' social behavior and preferences, requiring manual intervention for updates to 'Family and Friends' lists, which limits their effectiveness in offering personalized discounts and promotions.
Innovation Solution
A system that uses behavioral information to automatically perform promotional activities, such as financial discounts or quality of service changes, by analyzing the symmetry of connections and community similarity between subscribers, allowing for dynamic updates to preferred lists and offering personalized tariffs based on their social networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual intervention is used to update Family and Friends lists, then system complexity is reduced, but adaptability to changing social behavior deteriorates
Solution Approach 1:
The system automatically monitors communication patterns and updates Family and Friends lists without manual intervention. The charging system detects changes in communication behavior and autonomously adjusts pricing rules and service configurations based on observed social network dynamics.
Solution Approach 2:
The system continuously monitors communication patterns as feedback and uses this information to dynamically update Family and Friends lists. The charging system receives feedback from actual usage data and automatically adjusts pricing rules to reflect current social relationships.
2Ease of operation
If static Family and Friends lists are maintained, then ease of operation is improved, but loss of information about current social preferences increases
Solution Approach 1:
The Family and Friends lists transition from static to dynamic structures that automatically adapt to changing social behavior. The system continuously updates these lists based on real-time monitoring of communication patterns, ensuring they reflect current social preferences without requiring manual updates.
Solution Approach 2:
The system automatically detects and responds to changes in social preferences by monitoring communication patterns. No manual intervention is required to update Family and Friends lists or adjust associated pricing rules, as the system self-updates based on observed behavior.
3Adaptability or versatility
If automated behavioral analysis is implemented, then adaptability to customer preferences is improved, but device complexity increases
Solution Approach 1:
The charging system performs multiple functions including traditional billing, behavioral analysis, automatic list updates, and dynamic pricing rule adjustment. By making the charging system universal and multi-functional, the patent avoids creating separate complex systems while still achieving automated personalization.
Solution Approach 2:
The patent combines behavioral analysis, Family and Friends list management, and pricing rule configuration into a single integrated charging system. This merging of functions reduces the number of separate systems needed while maintaining the adaptive personalization capabilities.
4Measurement precision
If real-time monitoring of communication patterns is performed, then measurement precision of social behavior is improved, but use of energy increases
Solution Approach 1:
The system monitors communication patterns at appropriate levels of detail without excessive granularity. It focuses on capturing essential behavioral indicators needed for Family and Friends identification while avoiding unnecessary detailed tracking that would consume excessive energy.
Data Source
AI summary
A node (22) of a communications system is configured use behavioral information (26) regarding a customer/subscriber's communication usage to automatically perform a promotional activity (28) with respect to communication usages of the customer/subscriber with another customer/subscriber. In an example implementation, the node (22) comprises electronic circuitry (38) configured to use the behavioral information (26) regarding the customer/subscriber's communication usage to automatically perform the promotional activity (28) with respect to the communication usages of the customer/subscriber with the another customer/subscriber. In its various embodiments, the promotional activity (28) comprises at least one of a financial discount activity; a new access activity; a quality of service change activity; and, an advance recharge activity. The behavioral information (26) may reflect both symmetry of connection (26-1) of the customer/subscriber with the another customer/subscriber; and community similarity (26-2) of the customer/subscriber and another customer/subscriber or other usage pattern.