Automated Bot Generation for ERP Issue Resolution
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Solution Overview
Problem
ERP platforms like SAP ERP face challenges in detecting and resolving issues, especially user-originated problems, due to limitations in analytics and interface changes, which can lead to inefficiencies and resource wastage.
Innovation Solution
An operations platform that monitors client platforms, detects issues, determines if a bot is accessible, generates a bot if needed, and deploys it to resolve issues without interacting with the user interface, enhancing detection and resolution efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If RPA-based methods are used to detect and resolve issues, then automation is improved, but the system becomes vulnerable to user interface changes and requires more resources
Solution Approach 1:
The patent replaces RPA's mechanical user interface interaction with an automated analytics system that directly monitors ERP platform data streams, database transactions, and system logs through API integrations, eliminating vulnerability to UI changes while maintaining automation
Solution Approach 2:
The patent introduces an intermediary automated analytics platform that sits between the ERP system and resolution actions, using machine learning models to interpret system states and generate bot deployment decisions, providing stability against interface changes
2Loss of energy
If manual monitoring and issue resolution is performed, then resource consumption is reduced, but productivity and detection speed deteriorate
Solution Approach 1:
The patent implements self-service through automated bot generation and deployment that resolves issues without human intervention, while the analytics system autonomously monitors and detects problems, eliminating manual labor while maintaining efficient resource utilization through intelligent automation
Solution Approach 2:
The patent applies partial automation by selectively deploying bots only for detected issues rather than continuous full-system automation, optimizing resource consumption by activating computational resources only when problems are identified
3Measurement precision
If comprehensive monitoring is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the monitoring system into modular components: data collection modules for different ERP sources, machine learning analysis modules for specific issue types, and bot deployment modules, reducing overall complexity through organized modularity while maintaining comprehensive monitoring capability
Data Source
AI summary
In some possible implementations, an operations platform may include one or more memories; and one or more processors, communicatively coupled to the one or more memories, to: monitor a client platform without interacting with a user interface of the client platform; detect an issue associated with the client platform based on monitoring the client platform; determine whether the operations platform has access to a bot to resolve the issue; generate the bot when the operations platform does not have access to the bot; and deploy the bot with regard to the client platform to resolve the issue, wherein the bot is configured to resolve the issue without interacting with the user interface of the client platform.