AI-Enhanced Customer Support with Deskhero at PlastiFlex

Manufacture of plastic films and sheets - PlastiFlex *1

AI-Enhanced Customer Support with Deskhero at PlastiFlex

PlastiFlex receives a high volume of customer queries daily, ranging from product specifications to troubleshooting. With Deskhero's AI capabilities, the company can automatically categorize these tickets based on their content, ensuring they are directed to the right department or individual. This reduces the time spent on manual sorting and increases the efficiency of the support team.

The AI also helps in generating suggested replies for the support team. By leveraging OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data, the AI can understand the context of the query and provide relevant responses. This not only speeds up the response time but also ensures consistency in the quality of support provided.

With Deskhero's comprehensive search bar powered by AI, the support team can quickly find relevant information from the vast repository of data. Whether it's a specific ticket, a knowledge base article, or a piece of information from an uploaded file, the AI-enhanced search provides accurate results in seconds.

Deskhero's REST API allows PlastiFlex to integrate the platform with their existing systems seamlessly. This ensures a smooth flow of data and allows the AI to leverage all available information for better support.

By using Deskhero, PlastiFlex has been able to significantly improve their customer support process. The AI capabilities of the platform have reduced the workload of the support team, improved response times, and increased customer satisfaction.

 

How does Deskhero's AI categorize tickets?
Deskhero's AI uses OpenAI Embeddings to understand the content of the tickets. Based on this understanding, it categorizes the tickets and directs them to the appropriate department or individual.

How does the AI generate suggested replies?
The AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to understand the context of the query. Based on this understanding, it generates relevant responses.

How does the AI-enhanced search work?
The AI-enhanced search uses OpenAI Embeddings to understand the query and find relevant information from the repository of data. This includes tickets, knowledge base articles, and uploaded files.

 

* This article provides an example of how a fictive company in the Manufacture of plastic films and sheets industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.