Active Call Concierge Automates Supplementary Service Invocation
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Solution Overview
Problem
Legacy supplementary services in mobile communication systems are not seamlessly integrated with new network architectures like IMS, requiring manual input of service codes for recurring service invocations, which is inconvenient for users.
Innovation Solution
A network-based system that tracks user behavior and automatically suggests and invokes previously used supplementary services by appending the corresponding service codes to outgoing call setup signals, eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input of service codes is required for supplementary services, then service control precision is maintained, but ease of operation deteriorates
Solution Approach 1:
The system automatically invokes supplementary services by detecting call patterns and autonomously applying service codes without requiring user input. The network monitors calling behavior and automatically applies previously selected services to recurring calls, making the system serve itself rather than requiring manual user intervention.
Solution Approach 2:
The system performs preliminary analysis of call patterns and pre-configures supplementary services before calls occur. By monitoring previous calling behavior and pre-selecting appropriate services, the system prepares service invocations in advance, eliminating the need for manual code entry during actual calls.
2Ease of operation
If automated service invocation is implemented, then ease of operation improves, but loss of information increases
Solution Approach 1:
The system continuously monitors call outcomes and user responses to automated service suggestions. By analyzing whether users accept or reject automated service invocations, the system refines its understanding of user preferences and adjusts future service recommendations accordingly, preventing information loss through iterative learning.
Solution Approach 2:
The automated service invocation system dynamically adapts to changing user behaviors and preferences. Rather than using static service assignments, the system continuously updates service recommendations based on evolving call patterns, making the automation flexible and responsive to user needs while maintaining accuracy.
3Productivity
If network tracking of user behavior is implemented, then productivity improves, but device complexity increases
Solution Approach 1:
The network tracking system is segmented into specialized functional modules: call pattern detection units, service recommendation engines, and automated invocation controllers. By dividing the complex tracking system into independent functional segments, each handling specific aspects of behavior analysis, the overall system complexity is managed while maintaining high productivity.
Data Source
AI summary
Systems and methods according to these exemplary embodiments provide active call concierge services wherein a network tracks users' behaviors with respect to, for example, supplementary services. When a user invokes a supplementary service toward a called party, the network captures this data. The network informs an agent on the user's device that it should prompt the user to reuse the same supplementary service the next time that the user dials the same called party. If the user inputs an acceptance of this suggestion, the user's device automatically appends or adds the service code associated with the repeated supplementary service to the outgoing call setup signal.