ParkEase uses Deskhero's AI capabilities to manage a high volume of customer queries related to parking availability, pricing, and location details. The AI leverages OpenAI embeddings from previous tickets and knowledge base articles to generate suggested replies, reducing the response time significantly.
The custom fields feature allows ParkEase to categorize tickets based on the type of query, event, or location. This structured data helps the AI understand the context better and provide more accurate suggestions.
ParkEase also utilizes Deskhero's website scraping feature to keep their knowledge base updated with the latest information from various sports facility 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 generate suggested replies?
The AI uses OpenAI embeddings from previous tickets, knowledge base articles, and other sources to understand the context and generate appropriate responses.
How does the AI keep the knowledge base updated?
Deskhero's website scraping feature automatically updates the knowledge base with the latest information from various sports facility 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.
