ATM Exception Prioritization System Using Age and Amount Scores
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Solution Overview
Problem
Existing systems lack efficient tools for detecting and resolving discrepancies between automated teller machine (ATM) transaction records and service provider reports, leading to delayed or missed resolutions of high-priority exceptions, which can result in statutory time limits being exceeded and potential financial losses.
Innovation Solution
A system comprising an automatic reconciliation tool, prioritization tool, and correspondence tool that detects discrepancies, prioritizes exceptions based on age and monetary value, and facilitates communication with service providers to resolve issues efficiently, using a user-friendly interface and automated web-forms to manage ATM exceptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and resolution of ATM exceptions is used, then operational flexibility is maintained, but resolution time increases and productivity decreases
Solution Approach 1:
The system enables self-service through automated exception detection, prioritization, and resolution workflows. The computer automatically monitors ATM transactions, detects discrepancies between transaction data and service provider data, generates exception records, and routes them to appropriate personnel without manual intervention, thereby increasing resolution speed and reducing time loss.
Solution Approach 2:
The patent replaces manual mechanical monitoring processes with automated computer-based systems. The system uses automated data comparison between ATM transactions and service provider reports, algorithmic exception detection, and automated prioritization logic to substitute human manual review, significantly improving productivity while reducing the time required to detect and resolve exceptions.
2Reliability
If all ATM exceptions are treated with equal priority, then simplicity is maintained, but high-impact exceptions may be delayed and financial loss increases
Solution Approach 1:
The system applies local quality by assigning different priority levels to different exceptions based on their specific characteristics. The computer evaluates each exception's monetary impact, age, and other factors to determine its priority level, ensuring that high-impact exceptions receive immediate attention while lower-impact exceptions are handled appropriately, thereby improving reliability without excessive complexity.
Solution Approach 2:
The patent uses parameter changes to dynamically prioritize exceptions based on multiple variables including monetary impact, exception age, and statutory deadline proximity. The system adjusts priority levels by changing these parameters, creating a flexible prioritization mechanism that improves reliability while maintaining manageable system complexity through rule-based decision logic.
3Measurement precision
If comprehensive monitoring of all ATM transactions is implemented, then detection precision improves, but system complexity and resource requirements increase
Solution Approach 1:
The system extracts only the essential data elements needed for exception detection from comprehensive ATM transaction records. The computer compares specific critical fields such as transaction amounts, timestamps, and account identifiers between ATM data and service provider data, achieving high detection precision by focusing on key parameters rather than processing all transaction details, thereby reducing system complexity.
Data Source
AI summary
A device includes a memory configured to store prioritization thresholds. The prioritization thresholds include one or both of threshold values and threshold ranges associated with an age and an amount of exceptions. A processor of the device receives exceptions associated with operation of at least a portion of the plurality of ATMs. For each exception of the plurality of exceptions, the processor determines, based on a comparison of an age property of the exception to an age threshold of the prioritization thresholds, an age score for the exception. The processor determines, based on a comparison of an amount property of the exception to an amount threshold of the prioritization thresholds, an amount score for the exception. Based on the age and amount scores, a prioritization score is determined for the exception which corresponds to a measure of an order in which action should be taken to resolve the exception.