MetalMakers Corp. was struggling with managing their customer support workflow due to the high volume of customer queries. They decided to implement Deskhero to streamline the workflow and improve response time.
Using Deskhero's structured data lists and custom fields, MetalMakers was able to organize and prioritize tickets effectively. The AI capabilities of Deskhero used OpenAI embeddings from previous tickets and knowledge base articles to suggest relevant replies, significantly reducing the response time.
Deskhero's Kanban board provided a visual representation of the workflow, making it easier for the team to track the progress of each ticket. This resulted in improved productivity and efficiency of the customer support team.
The AI also enhanced the search results on their helpdesk platform. By analyzing the uploaded files like policies, manuals, and presentations, and the scraped website data, the AI provided more accurate and relevant content to the support team and the customers.
By implementing Deskhero, MetalMakers has significantly improved their customer support workflow and response time, leading to increased customer satisfaction.
How does Deskhero's AI suggest replies to customer queries?
Deskhero's AI uses OpenAI embeddings from previous tickets and knowledge base articles to analyze the query and suggest the most relevant reply.
How does Deskhero's Kanban board improve the customer support workflow?
Deskhero's Kanban board provides a visual representation of the workflow, making it easier for the team to track the progress of each ticket, leading to improved productivity and efficiency.
How does Deskhero improve the search results on the helpdesk platform?
Deskhero's AI analyzes the uploaded files and scraped website data to enhance the search results, providing more accurate and relevant content.
* This article provides an example of how a fictive company in the Manufacture of steel industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
