Automatically categorizes and prioritizes Freshdesk tickets using AI, enhancing efficiency and accuracy in handling customer inquiries.
Before implementing the automation, Freshdesk ticket topics were manually set by agents, often resulting in neglected or inaccurately selected topics. This oversight led to unreliable analytics and hindered the ability to track customer inquiries effectively. Additionally, ticket prioritization was based on individual agent perception, which often led to critical tickets being addressed too late, impacting customer satisfaction and business operations negatively.
The automation leverages AI to analyze ticket descriptions and conversations, automatically selecting or creating relevant topics from a synced datastore. This ensures accurate and dynamic topic categorization. It also prioritizes tickets based on predefined KPIs, such as customer satisfaction and business impact, ensuring that high-priority tickets are addressed promptly. The integration with Freshdesk allows seamless updates and real-time prioritization, enhancing operational efficiency and aligning ticket handling with business needs.
This automation eliminates manual ticket categorization and prioritization in Freshdesk, ensuring accurate topic selection and real-time prioritization based on business impact and customer satisfaction KPIs. Critical tickets are now identified instantly, reducing delays and improving resolution times.
Managers gain valuable insights into ticket trends, enabling them to address recurring issues proactively, reducing future support requests. The self-improving AI-driven topic list ensures ongoing optimization, while automation frees agents from low-priority tasks. Overall, this solution enhances efficiency, improves service quality, and boosts customer satisfaction.