Dynamic Value-Added Service Delivery via Subscriber Relationship Data Structures
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Solution Overview
Problem
Conventional communication service bundles are inflexible, forcing users to select from fixed, coarsely grained options that do not align with their current needs or interests, limiting the ability to tailor access to value-added services (VASs) and preventing users from forming relationships across different subscription accounts for group pricing.
Innovation Solution
A subscriber relationship engine constructs a data structure that allows users to form service groups across different subscription accounts, enabling dynamic selection and delivery of VASs based on individual preferences and joint requests, with a VAS provisioning engine deploying services upon acceptance of offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional fixed service bundles are used, then service deployment is simple, but service adaptability to user needs is poor
Solution Approach 1:
The patent implements dynamic service bundles that can be automatically adjusted based on user behavior patterns and preferences. The system continuously monitors usage data and dynamically modifies service configurations without requiring manual user intervention, allowing services to adapt to changing user needs while maintaining manageable complexity through automation.
Solution Approach 2:
The system changes service parameters such as bundle composition, pricing tiers, and service levels based on detected user patterns. By automatically modifying these parameters according to usage data, the system achieves high adaptability while the parameter change logic is centralized and managed, preventing excessive complexity at the user level.
2Productivity
If fixed service bundles are offered, then service delivery is straightforward, but user engagement and revenue optimization are limited
Solution Approach 1:
The system implements feedback loops that continuously monitor user usage patterns, engagement metrics, and revenue data. This feedback is used to automatically optimize service bundles by identifying high-value users and adjusting offerings to maximize revenue while maintaining simplicity for users who simply need to continue using services without manual configuration.
Solution Approach 2:
Users benefit from self-service through automated service adjustments that occur based on their usage behavior. The system proactively identifies opportunities to enhance engagement and optimize pricing without requiring users to manually select or configure services, thereby maintaining ease of operation while achieving revenue optimization.
3Adaptability or versatility
If individual subscription accounts are maintained, then account management is simple, but cross-account service group formation is prevented
Solution Approach 1:
The patent merges multiple subscription accounts into unified service groups based on user relationships and shared usage patterns. By combining data from separate accounts and identifying common service needs, the system enables cross-account service grouping while managing complexity through automated relationship detection and centralized data management.
Solution Approach 2:
The relationship data structure serves multiple functions: it tracks user relationships, identifies service group opportunities, manages cross-account services, and optimizes pricing strategies. By designing the data structure to handle these diverse functions, the system achieves versatile cross-account capabilities without proportionally increasing complexity.
Data Source
AI summary
A method for providing communication services as VASs to subscribers of a communication service provider based on building a subscriber relationship data structure in a data store. The method includes building the subscriber relationship data structure such that it comprises a first layer which comprises a first VAS node corresponding to a first VAS and a second layer comprising one or more service group nodes and corresponding service groups. The method additionally includes receiving a first request from a first subscriber and from a second. The method further includes modifying the subscriber relationship data structure such that the one or more service group nodes comprises a first service group node in which the first subscriber and the second subscriber are each identified as belonging to a corresponding first service group of the one or more service groups, and deploying the first VAS to the first and second subscribers.