Interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution
US12299695B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2024 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Feb 1, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0633
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Concepts and technologies disclosed herein are directed to interpretation workflows for machine learning-enabled event tree-based diagnostic and customer problem resolution. According to one aspect, a system can receive a workflow construction specification derived from a machine learning-enabled event tree (“MLET”). The MLET can be generated for use by a customer service agent to resolve a customer problem. The workflow construction specification can include a plurality of objects, each of which represents a navigation path through the MLET. The system can traverse the workflow construction specification and can create a set of workflow creation commands based upon at least one policy. The system can generate a workflow visualization interpretation file based upon the set of workflow creation commands. The workflow visualization interpretation file can identify how the MLET derived a root cause of the customer problem. The system can then present the workflow visualization interpretation file to the customer service agent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.