AI Service Request Priority Scorer is a machine learning application that automatically assigns priority scores from 1 to 100 to incoming service requests. Built for support teams and IT helpdesks, it analyzes multiple factors to surface critical issues faster and reduce response time for high-impact tickets.
The system uses a Random Forest model trained on synthetic data generated to improve coverage across diverse ticket scenarios while protecting user information. It evaluates request text using TF-IDF analysis, customer tier, request age, number of affected users, revenue impact, and workaround availability. Scores map to four priority levels: Critical (80-100), High (60-79), Medium (40-59), and Low (1-39), each with recommended response times.
Key capabilities include:
- REST API with endpoints for scoring, health checks, and model retraining
- Web interface built with React and Tailwind CSS for manual scoring and testing
- Customizable priority thresholds and model parameters
- Integration-ready design for existing ticketing systems and workflows
The backend runs on Python with Flask, scikit-learn, and pandas. The frontend loads via CDN with no build step required. Basic technical knowledge is needed to deploy and configure the application.
IMPORTANT NOTE: This application has been fully developed with all features implemented. However, it has not been tested in a live production environment. Buyer should expect to perform integration testing and may encounter minor bugs that require fixing. Basic technical knowledge and development skills are required.
NO REFUNDS: Due to the digital nature, all sales are final.
LICENSE TERMS: Seller retains full ownership and control. Purchase grants a non-exclusive, non-transferable, perpetual license—AS IS, no support/updates, no refunds, no other obligations. Buyer may build and operate a materially new, closed-source product (including SaaS/paid service) for their own business/customers. Buyer may not open-source or disclose the application, nor resell, redistribute, rebrand, sublicense, or use the application (or any derivative) to create a competing or substantially similar product. License terms may be updated or changed at any time; continued use constitutes acceptance.