RenderRush Services handles a multitude of customer queries and issues every day. To manage these effectively, they implement Deskhero's kanban board and ticket management features. The AI capabilities of Deskhero assist in organizing these tickets on the kanban board based on their status and priority.
The AI also helps in generating suggested replies for recurring queries by leveraging OpenAI Embeddings from previous tickets and knowledge base articles. This drastically reduces the response time and ensures uniformity in the responses.
Deskhero's AI capabilities also enhance the search results on RenderRush's knowledge base. By using the embeddings from uploaded files like policies, manuals, presentations, and scraped website data, the AI provides more relevant and accurate search results to both the support team and the customers.
RenderRush also uses the structured data lists feature to capture specific details about each query. The AI then uses this structured data to provide more personalized and targeted responses, improving the overall customer experience.
Finally, the REST API allows RenderRush to integrate Deskhero with their existing systems, ensuring seamless data flow and improved efficiency.
How does Deskhero's AI organize tickets on the kanban board?
Deskhero's AI uses OpenAI Embeddings from the content of the tickets, their status, and priority to organize them on the kanban board.
How does the AI enhance search results in the knowledge base?
The AI uses embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to provide more relevant and accurate search results.
Can Deskhero be integrated with existing systems?
Yes, Deskhero provides a REST API that allows it to be integrated with existing systems for seamless data flow.
* This article provides an example of how a fictive company in the Post-Production Services industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
