ThreadMaster was dealing with a high volume of customer support tickets and was struggling to manage them effectively. They needed a solution that could help them categorize, prioritize, and respond to tickets quickly and accurately.
ThreadMaster implemented Deskhero's advanced AI capabilities to improve their ticket management system. The AI used OpenAI Embeddings from previous tickets, knowledge base articles, and uploaded files to find relevant content.
This content was then used to generate suggested replies, significantly reducing the time taken to respond to tickets. The AI also categorized and prioritized tickets using the custom fields and user groups features, ensuring that urgent queries were handled promptly.
The AI-enhanced search results made it easier for the customer support team to find relevant information quickly, further improving efficiency. The team was also able to use the kanban board feature to track the progress of tickets, improving transparency and accountability.
Finally, the REST API allowed ThreadMaster to integrate Deskhero with their existing systems, providing a seamless customer support experience.
How does the AI improve ticket management?
The AI uses OpenAI Embeddings from previous tickets, knowledge base articles, and uploaded files to find relevant content. This content is then used to generate suggested replies and categorize and prioritize tickets.
How does the AI enhance search results?
The AI uses OpenAI Embeddings to improve the relevance of search results, making it easier for the customer support team to find the information they need.
Can Deskhero be integrated with existing systems?
Yes, Deskhero provides a REST API that allows it to be integrated with existing systems.
* This article provides an example of how a fictive company in the Garment manufacturing industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
