MachinaCare's helpdesk team handles a large volume of customer inquiries and technical issues daily. With Deskhero's AI capabilities, these tickets are efficiently sorted and managed, ensuring that no issue goes unresolved.
The AI also generates suggested replies based on previous tickets and knowledge base articles. This feature not only speeds up the response time but also ensures consistency and accuracy in the replies.
Deskhero's AI can also scrape MachinaCare's website and uploaded files like policies, manuals, and presentations to enhance search results. This has made it easier for customers to find the information they need, reducing the number of support tickets.
Through Deskhero's REST API, MachinaCare has been able to integrate the platform with their existing systems, creating a more streamlined and efficient workflow.
In conclusion, Deskhero's AI capabilities have greatly improved MachinaCare's helpdesk services, leading to higher customer satisfaction rates and a more productive helpdesk team.
How does Deskhero's AI improve the ticket management process?
Deskhero's AI improves the ticket management process by automatically sorting and prioritizing tickets. It uses OpenAI Embeddings from previous tickets and other resources to understand the context and determine the priority.
How does the AI ensure accuracy in the suggested replies?
The AI uses OpenAI Embeddings from previous tickets, knowledge base articles, and other resources to understand the context of the inquiry. It then uses this understanding to generate a suitable and accurate reply.
Can Deskhero's AI enhance search results from any source?
Yes, Deskhero's AI can enhance search results from any source it has access to. This includes the company's website, uploaded files, and even external resources if necessary.
* This article provides an example of how a fictive company in the Repair of Industrial Machinery industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.