ArenaPark uses Deskhero's AI capabilities to keep their knowledge base updated and relevant. The AI uses OpenAI embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to generate suggested replies and enhance search results.
The knowledge base articles generated from Word, PowerPoint, and PDF files provide a rich source of information for the AI. This helps in providing detailed and accurate responses to customer queries.
ArenaPark also uses the website scraping feature to keep their knowledge base updated with the latest information from various arena websites. This ensures that the AI has the most recent data when generating responses.
The comprehensive search bar powered by AI provides customers with quick and accurate answers to their queries. It uses the REST API to fetch relevant information from the database in real-time.
Finally, the AI's continuous learning capability ensures that the system becomes more efficient over time. It learns from every interaction, improving its ability to handle complex queries and provide accurate responses.
How does the AI keep the knowledge base updated?
The AI uses OpenAI embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to generate suggested replies and enhance search results.
How does the website scraping feature work?
The website scraping feature automatically updates the knowledge base with the latest information from various arena websites.
How does the AI improve over time?
The AI learns from every interaction, improving its ability to handle complex queries and provide accurate responses over time.
* This article provides an example of how a fictive company in the Parking services for arena, stadium or other sports facility events industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
