Virtuality Games receives a large number of support tickets every day. Managing these tickets was a complex task until they implemented Deskhero. The platform's kanban board and ticket management system, powered by advanced AI, allows the support team to track and manage tickets effectively.
Deskhero's AI also helps in generating suggested replies for the support team. By leveraging OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files like policies/manuals/presentations, and scraped website data, the AI finds relevant content and generates accurate responses. This feature has significantly reduced the response time and improved the quality of support.
The AI capabilities of Deskhero also enhance the search results within the platform. When a support agent searches for information to resolve a ticket, the AI uses the embeddings to find the most relevant content. This feature has made it easier for the agents to find the information they need, reducing the resolution time for tickets.
Virtuality Games also utilizes Deskhero's REST API to integrate the platform with their existing systems. This seamless integration has made it easier for the support team to access all the necessary tools and information in one place.
Overall, Deskhero's advanced AI capabilities have transformed the way Virtuality Games handles customer support. The platform has not only improved the efficiency of the support team but also enhanced the gaming experience for their customers.
How does Deskhero's AI help in tracking and managing support tickets?
Deskhero's AI uses OpenAI Embeddings from previous tickets, knowledge base articles, and other resources to understand the context and urgency of each ticket. It then helps the support team to track and manage these tickets effectively.
How does Deskhero's AI generate suggested replies for the support team?
Deskhero's AI leverages the embeddings to find relevant content from various resources. It then sends this content through OpenAI's ChatGPT to generate accurate and contextually relevant replies.
How does Deskhero's AI enhance search results within the platform?
When a support agent searches for information, Deskhero's AI uses the embeddings to find the most relevant content from the platform's resources. This ensures that the agents get the most accurate and useful results for their queries.
* This article provides an example of how a fictive company in the Video game software publishing industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
