LearnBoost receives hundreds of queries daily from users regarding their educational materials and programs. To manage these queries efficiently, they use Deskhero's ticket management system. The AI capabilities of Deskhero analyze the content of the tickets and suggest replies based on previous tickets and knowledge base articles, reducing the time spent by the support team on each ticket.
The AI also enhances the search results in the knowledge base. When users search for a topic, the AI uses OpenAI Embeddings to find the most relevant articles, making it easier for users to find the information they need.
LearnBoost also uses the custom fields feature of Deskhero to categorize their tickets. The AI uses this categorization to improve its suggestions for replies and search results.
Deskhero's REST API allows LearnBoost to integrate their existing systems with the platform. This integration enables the AI to access more data, improving its ability to provide relevant suggestions.
Overall, the advanced AI capabilities of Deskhero have significantly improved the efficiency of LearnBoost's customer support team, allowing them to provide better service to their users.
How does the AI suggest replies to tickets?
The AI analyzes the content of the ticket and uses OpenAI Embeddings from previous tickets and knowledge base articles to suggest a reply.
How does the AI enhance search results in the knowledge base?
When a user searches for a topic, the AI uses OpenAI Embeddings to find the most relevant articles in the knowledge base.
How does the integration with existing systems improve the AI's capabilities?
The integration allows the AI to access more data, which it uses to improve its suggestions for replies and search results.
* This article provides an example of how a fictive company in the Supplemental Educational Programs industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
