Researcher's Companion deals with a high volume of customer queries related to journal access, submission guidelines, and subscription issues. They use Deskhero's ticket management feature to handle these queries efficiently. The AI capabilities of Deskhero help in sorting and prioritizing these tickets, ensuring quick resolution.
The AI also uses OpenAI Embeddings from previous tickets and knowledge base articles to suggest replies to common queries. This significantly reduces the response time, improving customer satisfaction.
Researcher's Companion also uses Deskhero's AI to enhance the search functionality on their platform. The AI uses embeddings from uploaded files like policies, manuals, presentations, and scraped website data to provide comprehensive and relevant search results.
Furthermore, Researcher's Companion leverages Deskhero's REST API to integrate the platform with their existing systems. This ensures that all customer interactions are tracked and managed effectively.
With Deskhero, Researcher's Companion has been able to significantly improve their customer support efficiency and user satisfaction.
How does Deskhero's AI help in managing customer queries?
Deskhero's AI uses OpenAI Embeddings to sort and prioritize tickets, ensuring quick resolution. It also suggests replies to common queries, reducing the response time.
How does Deskhero's AI enhance search functionality?
The AI uses OpenAI Embeddings from uploaded files and scraped website data to provide comprehensive and relevant search results.
Can Deskhero be integrated with existing systems?
Yes, Deskhero provides a REST API that allows for seamless integration with existing systems.
* This article provides an example of how a fictive company in the Academic Journals industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
