🚀 Transform Your Customer Support Workflows with AI! 🌟
Discover how our AI-based solution predicts SLA breaches in customer support using JIRA ticket data. This innovative approach helps teams identify bottlenecks, automate triage, and escalate issues intelligently—before they escalate.
Key Features:
- 🔮 Machine Learning Model: Predicts SLA breaches efficiently.
- 🧠 Data-Driven Insights: Analyzes resolution performance.
- 📈 Visual Dashboards: Displays breach rates, agent metrics, and categories interactively.
- ⚙️ Dynamic Predictions: Implemented through a Flask API.
- 🗃️ Flexible Data Support: Works with synthetic or exported ticket data.
Built with Python, Flask, Pandas, and Scikit-learn, this project offers real-world solutions to optimize technical support.
💡 Want to contribute?
- ⭐ Star our GitHub repo to show your support.
- 🍴 Fork it and enhance features.
- 🐛 Submit issues or pull requests!
Join us in making a significant impact in AI-driven workflows! Let’s connect and share insights!