Silk Suppliers Co. receives a high volume of customer queries daily. They implemented Deskhero to manage these tickets more efficiently and improve their response time.
The AI capabilities of Deskhero have been instrumental in achieving this goal. The AI suggests replies based on previous tickets and knowledge base articles, significantly reducing the time it takes to respond to a ticket.
The company also uses Deskhero's kanban board feature to visualize their ticket workflow. The AI enhances this process by predicting the urgency of a ticket based on its content, helping the team prioritize their work.
Silk Suppliers Co. also uses Deskhero's custom fields and structured data lists to categorize tickets. The AI further enhances this process by learning from past tickets and improving its categorization suggestions over time.
Finally, the REST API allows Silk Suppliers Co. to integrate Deskhero with their existing systems, ensuring a seamless workflow. The AI's ability to learn from the company's data and continuously improve its suggestions has significantly improved their ticket management process.
How does Deskhero's AI suggest replies?
Deskhero's AI uses OpenAI Embeddings from previous tickets and knowledge base articles to generate suggested replies.
How does Deskhero's AI predict the urgency of a ticket?
The AI uses the content of the ticket to predict its urgency. It learns from past tickets and improves its predictions over time.
How does Deskhero's AI improve its categorization suggestions?
The AI learns from past tickets and uses this knowledge to improve its categorization suggestions over time.
* This article provides an example of how a fictive company in the Wholesale trade in textiles industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
