Real-Time Spend Analysis Correction System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing spend analysis systems face challenges in accurately classifying data in real-time, leading to errors in reports, such as incorrectly categorizing goods from different suppliers, which affects the accuracy of savings opportunities identified.
Innovation Solution
A system and method for changing categorization data in real-time, comprising client-side and server-side processing means that allow users to identify errors, generate and submit corrections, and authorize changes, ensuring accurate reporting by enabling users to mark, specify, and submit corrections directly to the server for verification and effecting changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated classification is used in spend analysis systems, then processing speed and productivity are improved, but classification accuracy and reliability deteriorate due to wrong categorization of data
Solution Approach 1:
The system implements a feedback mechanism where users can review classified data, provide corrections, and the system learns from these corrections to improve future classifications. The feedback loop includes user validation of classified transactions and correction submission that refines the classification algorithms over time.
Solution Approach 2:
The patent introduces an intermediary layer between automated classification and final reporting, where user validation and correction mechanisms serve as a mediator to verify and adjust classifications before they are finalized in spend analysis reports.
2Reliability
If manual correction of classification errors is implemented, then classification accuracy is improved, but processing time and operational complexity increase
Solution Approach 1:
The system enables self-service correction where users can independently identify, mark, and correct classification errors without requiring manual intervention from system administrators or data analysts, thereby reducing the time and operational overhead associated with corrections.
Solution Approach 2:
The system performs preliminary classification automatically before user review, so that only items requiring correction need manual attention. This preliminary action reduces the overall processing time by handling routine classifications automatically while minimizing manual intervention to only necessary corrections.
3Measurement precision
If real-time correction capability is added, then data quality and reporting accuracy are improved, but system complexity and operational difficulty increase
Solution Approach 1:
The system integrates multiple functions into a unified platform including automated classification, user validation, error correction, and report generation. This multi-functionality reduces system complexity by consolidating what would otherwise require separate systems into a single integrated spend analysis platform.
Data Source
AI summary
A computer based system for changing categorization data, in relation to spend analysis reports, in real time, the system comprising a processor unit; and a computer readable medium storing instructions executable by the processor unit comprising a client side processing means adapted to transmit a user generated request for change, in real time and a server side processing means adapted to receive said transmitted requested change, in real time, for effecting said requested change.

