TrailerMax, dealing with a high volume of customer queries daily, needed a solution to manage and respond to these queries efficiently. They implemented Deskhero, utilizing its advanced AI capabilities to enhance their customer support.
Deskhero's AI uses OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to find relevant content. This content is then sent through OpenAI's ChatGPT to generate suggested replies. This feature has significantly reduced the time taken to respond to customer queries at TrailerMax.
The AI also enhances search results, making it easier for the support team to find relevant information quickly. The team can now handle more tickets in less time, improving their productivity.
TrailerMax also benefits from Deskhero's other features like structured data lists, custom fields, user groups, and tickets management. These features have helped them organize their support process better, further improving efficiency.
With Deskhero, TrailerMax has transformed their customer support, providing faster, more accurate responses, and improving overall customer satisfaction.
How does Deskhero's AI improve response times?
Deskhero's AI uses OpenAI Embeddings to find relevant content from previous tickets, knowledge base articles, and other sources. This content is used to generate suggested replies, reducing the time taken to respond to customer queries.
How does Deskhero's AI enhance search results?
The AI uses OpenAI Embeddings to find relevant content, which is used to enhance search results. This makes it easier for the support team to find relevant information quickly.
What other features of Deskhero does TrailerMax use?
TrailerMax also uses Deskhero's structured data lists, custom fields, user groups, and tickets management to organize their support process.
* This article provides an example of how a fictive company in the Sale of semi-trailers industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
