QuickBite was experiencing a surge in customer support tickets due to their rapid growth. They needed a solution that could handle the increasing volume without compromising on the quality of support. With Deskhero, they were able to leverage AI to manage and prioritize tickets efficiently.
Deskhero's AI capabilities analyze previous tickets, knowledge base articles, uploaded files, and scraped website data to generate suggested replies. This feature significantly reduced the time taken by support agents to respond to queries, thereby improving customer satisfaction.
The AI also enhances search results, making it easier for support agents to find relevant information quickly. This feature is particularly useful when dealing with complex or unusual customer queries.
QuickBite also used Deskhero's custom fields and user groups features to categorize and assign tickets effectively. The AI's ability to learn from these customizations further improved the efficiency of the support process.
Overall, QuickBite was able to handle a larger volume of support tickets without needing to increase their support team size. The improved efficiency also led to higher customer satisfaction scores.
How does Deskhero's AI improve response times?
Deskhero's AI analyzes previous tickets, knowledge base articles, and other resources to generate suggested replies. This reduces the time support agents spend crafting responses.
Can Deskhero's AI learn from custom fields and user groups?
Yes, Deskhero's AI can learn from custom fields and user groups, which helps it to better understand and categorize incoming tickets.
How does Deskhero's AI enhance search results?
Deskhero's AI uses OpenAI Embeddings to find relevant content from various sources, which is then used to enhance the search results.
* This article provides an example of how a fictive company in the Take-out and Delivery Services industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
