Mapping Agent Templates for Demand-Driven Network Inventory
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Solution Overview
Problem
Existing communication network and system enhancements require lengthy software development and deployment processes, often taking multiple weeks or months, and are prone to errors and duplication, making them inflexible and inefficient.
Innovation Solution
A self-serve, template-driven mapping capability using a mapping agent and large language model (LLM) to automate inventory management, enabling rapid capacity allocation and resource acquisition based on demand forecasts, reducing the need for custom software development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional software development and deployment processes are used for communication network enhancements, then system functionality can be improved, but the development time and deployment lead time increase significantly (weeks or months)
Solution Approach 1:
The patent uses template-driven mapping capabilities that create reusable software templates from existing network configurations and service definitions. These templates can be copied and adapted for new service deployments without requiring full software development cycles, thereby reducing development time while maintaining functionality.
Solution Approach 2:
The system performs preliminary actions by pre-defining service templates, resource mappings, and configuration patterns in advance. When a new service request arrives, the system can rapidly instantiate services by applying these pre-prepared templates rather than developing software from scratch, significantly reducing deployment lead time.
2Adaptability or versatility
If traditional software development processes are used, then custom functionality can be achieved, but error rates increase and duplication of efforts occur
Solution Approach 1:
The patent implements universal service templates that can serve multiple functions across different network scenarios. A single template can be applied to various service types (voice, data, video) by parameter substitution, eliminating the need for separate software development for each service and reducing errors from redundant development efforts.
Solution Approach 2:
The system enables self-service through automated template instantiation and configuration generation. The mapping agent automatically generates service configurations and resource allocations based on templates, reducing human intervention and associated errors while maintaining custom functionality through template parameters.
3Reliability
If extensive inventory is maintained to meet demand fluctuations, then service availability can be improved, but inventory holding costs and idle inventory time increase
Solution Approach 1:
The patent implements dynamic resource allocation that adjusts inventory levels and capacity assignments in real-time based on actual service demand and forecasts. Rather than maintaining static inventory levels, the system dynamically scales resource allocation, ensuring service availability when needed while minimizing idle inventory during low-demand periods.
Solution Approach 2:
The system uses feedback loops that continuously monitor service demand, utilization patterns, and inventory levels. This feedback enables automated adjustments to resource allocation and inventory management, optimizing the balance between service availability and inventory holding costs through data-driven decision making.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a request pertaining to a communication service, processing a file associated with the request to generate asset details, obtaining data pertaining to demand for communication services within a communication network, processing at least the data to generate a forecast of demand for the communication service, and processing the asset details and the forecast of demand to allocate capacity, acquire resources, or a combination thereof, for facilitating the communication service. Other embodiments are disclosed.