Supply Chain Data Analytics System with Real-Time Transformation
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Solution Overview
Problem
The complexity of managing supply chain data across multiple databases and formats reduces efficiency in operations, necessitating a system for real-time data analytics that can unify and process data accurately.
Innovation Solution
A method and system that receive data files from users, identify and transform data definitions using metadata and a trained model, and link them with master data in real-time using AI and ML techniques, enabling remote access for analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If supply chain data is stored in multiple databases and locations in different formats, then data can be collected from various sources, but data processing complexity increases and efficiency decreases
Solution Approach 1:
The patent introduces a centralized data repository as an intermediary layer between multiple source databases and the analytics system. This repository receives data from various sources in different formats and transforms it into a standardized structure, thereby maintaining adaptability to multiple data sources while reducing processing complexity through centralization and standardization
Solution Approach 2:
The system implements a universal data repository that can handle multiple data formats and sources through a single interface. The repository is designed to accommodate diverse data structures (sales data, inventory data, shipment data, etc.) while providing a unified access point, thus achieving versatility without proportionally increasing complexity
2Quantity of substance
If data is stored in multiple formats and locations, then comprehensive data coverage is achieved, but real-time analytics capability is reduced
Solution Approach 1:
The system performs preliminary data transformation and standardization by converting data from multiple sources into a unified format before storage in the centralized repository. This preliminary action ensures that when analytics are performed, the data is already in the required format, enabling real-time processing without format conversion delays
Solution Approach 2:
The patent merges data from multiple sources into a single centralized repository with a unified schema. By combining previously separate data silos into one integrated system, the patent achieves comprehensive data coverage while improving analytics efficiency through centralized access and eliminated redundant processing
Data Source
AI summary
A system for performing real time data analytics in a supply chain environment. The system receives data file from a user. The system then identifies a plurality of data definitions present in the data file upon analysing the software system installed on the user's machine. Further, the system compares the plurality of data definitions with a master definitions based on the metadata corresponding to the software system and a trained data definition model. Subsequently, the system transforms the plurality of data definitions into the master definitions using a set of data transformation techniques. A transformed data file based on the transformation of the plurality of data definitions is created. Finally, the system links the transformed data file with the master data in real time to remotely access the transformed data file in real time for performing data analytics in a supply chain environment.