Humanitas Research Institute frequently receives a high volume of queries from researchers, students, and academics. These range from requests for specific research materials, questions about ongoing projects, to inquiries about collaboration opportunities. The Institute has been using Deskhero to manage these inquiries, leveraging its AI capabilities to enhance the efficiency and effectiveness of their customer support.
With Deskhero's AI-powered ticket management system, Humanitas can automatically categorize incoming requests based on their content. This helps the Institute to prioritize urgent or important requests and assign them to the right team members. The system also uses AI to suggest responses based on previous tickets and knowledge base articles, significantly reducing the time spent on response drafting.
Deskhero's AI capabilities also extend to the Institute's knowledge base. By using AI to generate articles from word, powerpoint, pdf files, and even scraping data from the Institute's website, Deskhero creates a comprehensive and searchable knowledge base. This not only enhances the Institute's internal operations but also provides a valuable resource for external researchers and academics.
The Institute also benefits from Deskhero's advanced search capabilities. By leveraging OpenAI Embeddings, the search function can find relevant content from a variety of sources, including previous tickets, knowledge base articles, uploaded files, and scraped website data. This makes it easier for the Institute's staff to find the information they need quickly and efficiently.
Overall, by integrating Deskhero's advanced AI capabilities into their customer support and helpdesk services, Humanitas Research Institute has been able to improve their service quality, increase efficiency, and enhance their reputation in the humanities research community.
How does Deskhero's AI-powered ticket management system work?
Deskhero's AI-powered ticket management system uses machine learning algorithms to categorize incoming requests based on their content. It also suggests responses based on previous tickets and knowledge base articles, helping to reduce the time spent on response drafting.
How does Deskhero create a searchable knowledge base?
Deskhero uses AI to generate articles from various file types and even scrapes data from your website. The resulting knowledge base is comprehensive and searchable, making it a valuable resource for both internal operations and external users.
How does Deskhero's advanced search function work?
Deskhero's advanced search function leverages OpenAI Embeddings to find relevant content from a variety of sources, including previous tickets, knowledge base articles, uploaded files, and scraped website data. This allows users to find the information they need quickly and efficiently.
* This article provides an example of how a fictive company in the Humanities Research and Development industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
