Product Parameter Seeds for Unified Platform Synchronization
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Solution Overview
Problem
Existing systems face challenges in maintaining accurate and up-to-date hierarchical product parameters for offerings across multiple ecosystems, leading to operational inefficiencies and strategic misalignment.
Innovation Solution
A method and system for generating product parameter seeds by extracting meaningful data from diverse sources and converting it into a structured format, enabling the automatic creation or modification of hierarchical product parameters within a unified platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hierarchical product parameters are manually maintained across multiple ecosystems, then operational control is preserved, but accuracy and up-to-date status deteriorate due to synchronization delays
Solution Approach 1:
The system automatically generates and maintains hierarchical product parameters by extracting data from multiple ecosystems itself, eliminating the need for manual updates and synchronization processes. The autonomous data extraction and parameter generation ensures parameters remain accurate and current without human intervention.
Solution Approach 2:
The system continuously extracts data from multiple ecosystems and uses this feedback to dynamically update hierarchical product parameters. This closed-loop approach ensures parameters reflect the latest system states across all ecosystems, maintaining accuracy through real-time data ingestion and automatic regeneration.
2Quantity of substance
If data is extracted from multiple diverse data sources, then completeness of product parameters is improved, but system complexity increases
Solution Approach 1:
The system employs a universal data extraction framework that can handle multiple diverse data sources through a single standardized interface. This multi-functional extraction mechanism consolidates what would otherwise require separate processing systems for each data source, reducing overall system complexity while maintaining data completeness.
Solution Approach 2:
The system dynamically adjusts extraction parameters and data processing configurations based on the specific characteristics of each data source. By adapting parameters rather than creating separate processing pipelines for each source, the system maintains completeness across diverse sources while managing complexity through parameterization rather than structural duplication.
3Stability of the object's composition
If product parameters are updated in real-time, then alignment with system states is improved, but processing overhead increases
Solution Approach 1:
The system implements periodic data extraction and parameter regeneration cycles rather than continuous real-time processing. This periodic approach maintains alignment with system states at regular intervals, reducing processing overhead while ensuring parameters remain sufficiently current for operational decision-making.
Solution Approach 2:
The system performs preliminary data extraction and validation before full parameter regeneration, preparing data in advance to reduce the computational burden during actual parameter updates. This preliminary processing step anticipates future regeneration needs, lowering the immediate processing overhead while maintaining real-time alignment capability.
Data Source
AI summary
Techniques for generating product parameter seeds executable to obtain hierarchical product parameters for an offering operating in a unified platform are disclosed. The techniques include retrieving heterogenous data associated with the offering from the plurality of connected data sources being operated in connection with the unified platform. The heterogenous data comprises a plurality of sets of telemetry information related to the offering. The techniques further include generating the product parameter seeds, where the product parameter seed is a structured data object. Further, a signal is caused to be generated for transmission of the product parameter seeds executable to obtain the hierarchical product parameter.


