ThrillWorld receives thousands of customer inquiries daily, ranging from ticket bookings to queries about rides and events. Managing these requests manually was time-consuming and prone to errors. With Deskhero, they have automated this process, using AI to categorize and prioritize tickets, improving response times and customer satisfaction.
The AI capabilities of Deskhero also assist in generating suggested replies to customer inquiries. By leveraging OpenAI Embeddings from previous tickets and knowledge base articles, the AI can understand the context of the customer's query and suggest an appropriate response, reducing the workload of the customer support team.
ThrillWorld has also utilized Deskhero's knowledge base feature, creating a comprehensive database of information about the park, its rides, and events. This knowledge base is continually updated with new information scraped from the park's website, ensuring that the support team always has the most up-to-date information.
Deskhero's AI-enhanced search bar has been instrumental in helping the support team find relevant information quickly. Whether they're looking for information in the knowledge base, previous tickets, or uploaded files like policies and manuals, the AI-powered search provides accurate results in seconds.
Overall, Deskhero's AI capabilities have transformed ThrillWorld's customer support, making it more efficient and effective, and greatly improving the customer experience.
How does Deskhero's AI categorize and prioritize tickets?
Deskhero's AI uses OpenAI Embeddings to understand the context of the ticket. It then categorizes the ticket based on this understanding and prioritizes it based on predefined rules.
How does the AI generate suggested replies?
The AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, and other sources to understand the context of the customer's query. It then uses this understanding to generate a suggested reply.
How does the AI-enhanced search work?
The AI-enhanced search uses OpenAI Embeddings to understand the context of the search query. It then searches through all available resources, including the knowledge base, previous tickets, and uploaded files, to find the most relevant information.
* This article provides an example of how a fictive company in the Amusement and theme parks industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
