EquityEdge deals with a high volume of customer queries and complaints daily. Managing these efficiently was a challenge until they implemented Deskhero. The AI capabilities of Deskhero categorize and process tickets based on their content and urgency, ensuring quick and accurate responses.
Deskhero's AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, and uploaded files to generate suggested replies. This has significantly reduced the response time and improved the accuracy of responses.
The AI also enhances the search results in the knowledge base. When customers search for solutions, the AI uses embeddings to find the most relevant articles, reducing the need for ticket submissions.
Deskhero's custom fields feature allows EquityEdge to collect data specific to their needs. This has improved their data analysis and decision-making process.
Finally, the REST API has enabled EquityEdge to integrate Deskhero with their existing systems, enhancing their overall operational efficiency.
How does Deskhero improve the accuracy of responses?
Deskhero's AI uses OpenAI Embeddings from previous tickets, knowledge base articles, and uploaded files to generate suggested replies. This ensures that the responses are accurate and relevant.
How does Deskhero reduce the need for ticket submissions?
Deskhero's AI enhances the search results in the knowledge base. When customers search for solutions, the AI finds the most relevant articles, reducing the need for ticket submissions.
Can Deskhero be integrated with existing systems?
Yes, Deskhero's REST API allows for seamless integration with existing systems, enhancing overall operational efficiency.
* This article provides an example of how a fictive company in the Stock trading industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
