Case Management Application for Automated Service Action Recommendations
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Solution Overview
Problem
In cloud computing environments, determining suitable actions to address service events can be difficult and time-consuming for users, as they need to search for possible actions and root causes, assess feasibility, and test actions before applying a suitable solution.
Innovation Solution
A case management application that automatically identifies similar service cases based on entered information, determines a subset of matched cases, and provides a recommended action based on performed actions associated with those cases, reducing the need for manual searching and filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual searching and filtering of service cases is performed, then users can find suitable actions, but it is time-consuming and difficult
Solution Approach 1:
The system performs automatic self-service by autonomously searching for similar service cases, filtering them based on criteria, and determining recommended actions without requiring manual user intervention. The case management application automatically processes service case information and generates actionable recommendations, eliminating the need for users to manually search and filter through numerous cases.
Solution Approach 2:
The manual mechanical process of searching and filtering service cases is replaced with an automated computational system. The case management application uses automated algorithms to search for similar cases, apply filtering criteria, and determine recommended actions, substituting the manual mechanical effort with an automated information processing system.
2Productivity
If automated recommendation is implemented, then time to address service cases is reduced, but system complexity increases
Solution Approach 1:
The automated recommendation system is segmented into distinct functional modules: a search module that finds similar service cases, a filtering module that applies criteria to narrow down results, and a recommendation module that determines appropriate actions. This segmentation allows the complex automated system to be structured in manageable, independent components that can be developed and maintained separately.
3Reliability
If manual assessment of action feasibility is performed, then users can evaluate options, but the process becomes tedious and slow
Solution Approach 1:
The system performs preliminary actions by automatically searching for similar service cases and pre-filtering them based on established criteria before presenting recommendations to users. This preliminary processing eliminates the need for users to manually assess feasibility from scratch, as the system has already performed initial evaluation and narrowing down of options.
Data Source
AI summary
The present disclosure is related to a case management application that may be utilized by a user to open a service case associated with a service event. The case management application may receive information associated with the service case and/or the user to provide a recommended action to address the service event. In some embodiments, the case management application may access a recommendation tool that includes a trend model that may be used by the case management application to determine the recommended action. A designer may be able to modify the recommendation tool and/or the trend model accessed by the case management application to adjust how the case management application determines a recommended action to provide to the user.


