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Automate Customer Support Issue Resolution Using AI Text Classifier

  This intelligent AI solution enhances customer support efficiency by automating the management of pending tickets. It classifies issues, analyzes customer feedback and sentiment, and prioritizes actions based on data-driven insights. Automation speeds up response times, reduces manual workload, and ensures effective issue tracking, improving overall customer experience. 

Benefits

Automated Ticket Resolution

Automatically identifies and processes unresolved support tickets, reducing manual effort for support teams. 

AI-Generated Reports 

Leverages AI to analyze ticket comments and produce comprehensive summaries of issue status and history. 

Sentiment Analysis 

Applies sentiment analysis to customer feedback to determine emotional tone and urgency, supporting prioritization. 

Efficient Ticket Classification 

Classifies tickets by current state (open, in progress, resolved) to streamline workflow without manual review. 

Improved Efficiency

Cuts down resolution time significantly, enabling teams to focus on urgent and high-priority issues. 

How It Works

Unresolved Ticket Identification

Scans the support ticket system for unresolved issues exceeding the expected resolution timeframe.  


AI Report Generation

Processes comments with AI to create detailed, easy-to-understand summaries of each ticket’s history and customer feedback.  

State Classification 

Categorizes the status and progress of each ticket (e.g., open, in progress, resolved) based on collected data.  

Escalation or Closure

Automatically escalates tickets that require urgent attention or closes resolved ones, based on sentiment and classification results. .

Ticket System Updates

Reflects all automated actions directly in the ticket management platform to ensure accurate, real-time tracking.  

Use Cases

Customer Support Teams:  Automates management of long-standing tickets to improve efficiency and response times.

JIRA Administrators: Ensures systematic classification and monitoring of unresolved tickets.   

Service-Oriented Businesses: Streamlines customer issue resolution workflows for better satisfaction. 

Customer Support Managers:  Facilitates data-driven prioritization and overall team performance enhancement. 

Integration and Customization

Ticket System Integration

Seamlessly connects with any ticket management platform to identify and update ticket statuses automatically. 

AI Text Classification 

Utilizes AI models to generate detailed reports and accurately classify ticket progress. 

Sentiment Analysis

Incorporates sentiment analysis to assess customer emotions and urgency for ticket prioritization. 

Customizable Escalation Rules 

Allows customization of escalation and closure rules based on severity, sentiment, and ticket progress.