Telecommunications Rating System for MVNO Cost Optimization
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Solution Overview
Problem
Telecommunication service providers, especially MVNOs, face challenges in efficiently processing large amounts of data for telecommunications rating due to the complexity of calculating specific costs associated with user interactions, which requires constant adaptation to changing price policies and technical equipment, leading to high resource utilization and costs.
Innovation Solution
A computer-implemented method and system for telecommunications rating that normalizes events by determining guiding points, retrieves relevant products, calculates and aggregates costs, and updates balances, enabling efficient processing and management of resources, and supporting seamless integration with billing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional rating systems process large amounts of data for telecommunications rating, then rating accuracy is improved, but resource utilization and costs increase
Solution Approach 1:
The rating system is divided into multiple independent rating engines, each responsible for specific rating tasks. This segmentation allows parallel processing of rating data, improving both accuracy through specialized processing and resource efficiency through load distribution across multiple engines.
Solution Approach 2:
The rating system employs a unified data model and common infrastructure that serves multiple rating engines simultaneously. This multi-functional architecture allows the same hardware and software resources to be shared across different rating operations, reducing overall resource utilization while maintaining rating accuracy.
2Measurement precision
If rating systems are constantly adapted to changing price policies and technical equipment, then rating accuracy is improved, but device complexity increases
Solution Approach 1:
The rating system incorporates dynamic configuration capabilities that allow price policies and technical equipment parameters to be updated without system redesign. Rating engines can adapt to changing conditions through configurable parameters and rules, maintaining accuracy while avoiding the complexity of constant structural modifications.
Solution Approach 2:
The system manages complexity by separating structural elements from parameter elements. Changing price policies and equipment specifications is achieved through parameter adjustments rather than structural changes, allowing rating accuracy to be maintained while system complexity remains controlled through a stable architectural framework.
3Speed
If more hardware and software resources are allocated for telecommunications rating, then processing speed is improved, but total cost of ownership increases
Solution Approach 1:
Multiple rating engines share common infrastructure including data storage, processing frameworks, and deployment platforms. This merging of resources achieves high processing speeds through parallel operations while reducing total cost of ownership by eliminating redundant hardware and software components across the rating system.
Data Source
AI summary
The present application relates to a computer-implemented method, system, and computer program product for telecommunications rating. The computer-implemented method for telecommunications rating may comprise: receiving an event from a source system for a service, wherein the event is generated by a user; transforming the event into a normalized event by determining event characteristics comprising determining a guiding point identifier to identify a guiding point associated with the user; by using the guiding point identifier, retrieving from the guiding point a list of products operable to guide the normalized event; rating the normalized event by calculating and aggregating costs according to the list of products; and posting the costs by updating at least one balance associated with the user, the guiding point, and/or the service.


