TransLingo's customer support team often found it challenging to find relevant information quickly due to their vast knowledge base. Deskhero's AI-powered comprehensive search bar changed that.
The advanced AI capabilities leveraged OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to enhance search results. This made it easier for the support team to find relevant information, improving their efficiency.
Deskhero's AI also generated suggested replies based on the same embeddings. This feature significantly reduced the time taken to respond to customer queries, improving their overall customer service experience.
The platform's user groups and structured data lists features helped TransLingo manage their customer queries more efficiently. They could now categorize queries based on their nature, making it easier to handle them.
Finally, Deskhero's REST API allowed for seamless integration with TransLingo's existing systems, making the transition smooth and hassle-free.
How does Deskhero's AI improve search results?
Deskhero's AI uses OpenAI Embeddings from various resources to enhance search results. This makes it easier to find relevant information quickly.
How does Deskhero's AI generate suggested replies?
Deskhero's AI uses OpenAI Embeddings from previous tickets, knowledge base articles, and other resources to generate suggested replies. This helps reduce response time to customer queries.
Can Deskhero categorize customer queries?
Yes, Deskhero's user groups and structured data lists features allow you to categorize customer queries based on their nature, making it easier to handle them.
* This article provides an example of how a fictive company in the Interpreter Services industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
