ATM Exception Mapping and Auto-Remediation Prioritization
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Solution Overview
Problem
Existing systems face challenges in efficiently identifying, analyzing, and remediating issues across a fleet of automated teller machines (ATMs), which is time-consuming and resource-intensive.
Innovation Solution
A computing platform with a processor, communication interface, and memory configures an exception mapping table to match exception codes to types, ranks them, identifies top issues, and automatically executes remediation actions, generating reports, and updating the mapping table dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification and analysis of ATM exceptions is performed, then detailed analysis can be conducted, but it is time-consuming and resource-intensive
Solution Approach 1:
The system enables automated self-service through the computing platform that automatically receives exception codes, maps them to exception types, ranks exceptions by frequency, identifies affected ATMs, and executes remediation actions without requiring manual human intervention for each exception case
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational processes. The computing platform uses algorithms to automatically map exception codes to types, rank exceptions by occurrence frequency, identify subsets of affected ATMs, and execute remediation actions, substituting human analysts with automated computational systems
2Productivity
If automated remediation actions are executed, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The computing platform segments the exception handling process into distinct modular functions: receiving exception codes, mapping codes to exception types using an exception mapping table, ranking exceptions by occurrence frequency, identifying subsets of affected ATMs, and executing remediation actions. This segmentation allows each function to be independently developed, tested, and maintained
Solution Approach 2:
The exception mapping table serves as an intermediary data structure between raw exception codes and exception types. This intermediary layer simplifies the complexity by providing a standardized mapping mechanism that decouples the code reception logic from the exception type interpretation logic, making the system more manageable
3Adaptability or versatility
If exception mapping table is dynamically updated, then adaptability to new exceptions is improved, but data consistency challenges arise
Solution Approach 1:
The system implements a feedback mechanism where exception handling results and new exception codes are fed back to the computing platform. This allows the exception mapping table to be dynamically updated with new exception types and mappings based on actual operational data, improving adaptability while maintaining consistency through structured update procedures
Data Source
AI summary
Arrangements for identifying, analyzing, and remediating automated teller machine (ATM) exceptions are provided. A computing platform may configure an exception mapping table to match an exception code to a corresponding exception type. The computing platform may receive exception codes associated with one or more automated teller machines (ATMs). The computing platform may map the exception codes to corresponding exception types. The computing platform may compile exception ranking information into a ranked list. The computing platform may identify a subset of ATMs to take action on. The computing platform may identify actions to remediate issues related to the exception codes. The computing platform may automatically execute the identified actions.