WeaveMaster Inc. maintains a comprehensive knowledge base for its customers, providing detailed information on their products, weaving techniques, and troubleshooting guides. The company uses Deskhero's AI capabilities to manage this knowledge base efficiently and ensure that customers can find the information they need quickly.
The AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to enhance the search functionality of the knowledge base. This feature allows customers to find relevant information faster, reducing the need for them to contact customer support for simple queries.
Furthermore, Deskhero's AI can generate knowledge base articles from Word, PowerPoint, PDF files, and even scrape data from the company's website. This feature saves significant time for the company as they do not have to manually create articles for the knowledge base.
WeaveMaster also uses the AI's capability to suggest replies to customer inquiries. By analyzing past interactions and the current context, the AI can suggest appropriate responses, reducing the time spent by agents on crafting responses and improving the consistency of responses.
Overall, Deskhero's advanced AI capabilities have allowed WeaveMaster Inc. to manage their knowledge base more efficiently, improve customer service, and reduce the workload of their customer support team.
How does the AI enhance the search functionality of the knowledge base?
The AI uses OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to understand the content and context of the search query. This allows it to provide more relevant search results quickly.
How does the AI generate knowledge base articles?
The AI can generate knowledge base articles from Word, PowerPoint, PDF files, and even scrape data from the company's website. It uses OpenAI Embeddings to understand the content of these sources and create comprehensive articles.
How does the AI suggest replies to customer inquiries?
The AI analyzes past interactions and the current context to generate appropriate responses. It uses OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files, and scraped website data to understand the context and craft suitable responses.
* This article provides an example of how a fictive company in the Cotton Weaving industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
