Provisioning Validation Engine for Telecom Service Mapping
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Solution Overview
Problem
Frequent changes in network provisioning catalogs lead to discrepancies between customer services and network-facing services, causing customers to miss out on services they have paid for, due to the manual validation process being infeasible with the multitude and frequency of changes.
Innovation Solution
Implementing a real-time validation engine that uses a profile database to compare input profiles with reference data, including machine learning models to automatically validate provisioning processes, reducing the need for manual validation and ensuring accurate service provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual validation process is used for provisioning changes, then validation accuracy can be maintained, but the process becomes infeasible with frequent changes
Solution Approach 1:
The patent replaces manual validation (mechanical human process) with an automated validation engine that uses machine learning models and algorithms to validate provisioning changes automatically, enabling high-speed processing while maintaining accuracy
Solution Approach 2:
The patent introduces an intermediary validation engine between the provisioning system and network elements, which automatically validates changes before implementation, eliminating the need for manual validation while ensuring accuracy
2Reliability
If manual validation is performed for each provisioning change, then discrepancies can be detected, but the time and resources required become unsustainable
Solution Approach 1:
The patent performs validation in advance automatically before provisioning changes are implemented, using pre-trained machine learning models to predict and detect discrepancies before they affect service delivery
Solution Approach 2:
The patent replaces time-consuming manual validation with automated machine learning-based validation that processes provisioning changes in seconds, dramatically reducing validation time while maintaining discrepancy detection capability
3Productivity
If frequent provisioning changes are implemented without validation, then service deployment speed increases, but discrepancies between customer services and network-facing services occur
Solution Approach 1:
The patent introduces an automated validation engine as an intermediary layer between service deployment and network provisioning, which rapidly validates changes in real-time, enabling fast deployment while ensuring consistency through automated discrepancy detection
Solution Approach 2:
The patent implements real-time feedback loops where the validation engine continuously monitors provisioning changes and provides immediate validation results, allowing rapid deployment while maintaining consistency through automated correction of detected discrepancies
Data Source
AI summary
The system receives, at a validation engine, a production log generated in response to a provisioning operation by a network provisioning engine. The production log includes information about an input profile and a network profile. The input profile indicates at least a first customer service requested to be enabled on the telecommunications network. The network profile indicates at least a first network facing service that corresponds to the first customer service from the input profile. The system compares the information about the input profile and the network profile to reference data stored in a profile database. The reference data includes verified one or more input profiles and corresponding verified one or more network profiles. The system validates the provisioning operation based on whether a match exists between the information in the production log and the reference data. The system generates a report indicating a result of the validating.