Intelligent Work Ticket Prioritization
Objective
This project was developed to help users prioritize and act on the most critical workticket and service-related issues by analyzing key indicators such as overdue worktickets, liquidity, compliance, and service gaps.
Challenges
Managing large-scale workticket data across regions while ensuring seamless integration with proprietary ticket management system for automated task recommendations, using new technology such as agentic frameworks.
Solution:
- Analyze overdue worktickets, compliance failures, and liquidity issues
- Generate a structured daily task list for operations managers
- Integrate with Custom TMS and Slack chatbot for seamless user interaction
- Implement AI-driven prioritization engine
- Establish user feedback loops for continuous system improvement
Outcome:
an AI-driven prioritization engine that automates the workticket management process through intelligent analysis and automated task recommendations.
Key Benefits:
- Improved efficiency in addressing critical operational tasks
- Seamless integration with VLM based Inspection System
- Reduction in overdue worktickets
- Improved partner performance
- Self-learning AI system that continuously refines recommendations