BookBounty receives hundreds of customer queries daily, ranging from order status inquiries to book recommendations. To manage this volume, they use Deskhero's advanced AI capabilities. The AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, and uploaded files like policies and manuals to find relevant content.
With the AI's help, BookBounty can generate suggested replies for common queries, significantly reducing the time agents spend on each ticket. This has led to improved response times and higher customer satisfaction rates.
Deskhero's AI also enhances search results, making it easier for agents to find relevant information. This is particularly useful when dealing with complex queries that require in-depth knowledge about a specific topic or policy.
Additionally, BookBounty uses Deskhero's website scraping feature to keep their knowledge base up-to-date with the latest book releases and industry news. This ensures that agents always have the most current information at their fingertips.
Finally, the REST API allows BookBounty to integrate Deskhero with their existing systems, creating a seamless workflow for their customer support team.
How does Deskhero's AI improve response times?
Deskhero's AI uses OpenAI Embeddings to generate suggested replies for common queries, reducing the time agents spend on each ticket.
How does Deskhero keep its knowledge base up-to-date?
Deskhero uses a website scraping feature to automatically update the knowledge base with the latest information.
Can Deskhero be integrated with existing systems?
Yes, Deskhero's REST API allows for integration with existing systems, creating a seamless workflow.
* This article provides an example of how a fictive company in the Agents in sale of books, magazines, music, videos, etc. industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
