Persian Rugs Boutique receives a large volume of customer inquiries about their products, including questions about carpet materials, care instructions, and shipping policies. To manage these inquiries efficiently, they use Deskhero's advanced AI capabilities. The AI leverages OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files like policies/manuals/presentation and scraped website data to find relevant content.
When a customer sends an inquiry, the AI scans the content of the message and compares it to the embeddings. It then generates a suggested reply, which is sent to the customer support representative for review. This process significantly reduces the time it takes to respond to customer inquiries, improving customer satisfaction and freeing up time for the support team to focus on more complex issues.
In addition to generating suggested replies, Deskhero's AI also enhances search results. When a customer or a support representative searches for information in the knowledge base, the AI uses the embeddings to find the most relevant articles. This feature makes it easier for customers to find the information they need and reduces the number of support tickets.
Deskhero's AI capabilities also help Persian Rugs Boutique to continuously improve their customer support. The AI learns from each interaction, refining its embeddings and improving its ability to generate accurate, helpful responses. This continuous learning process ensures that the AI stays up-to-date with the latest product information and customer trends.
By leveraging Deskhero's advanced AI capabilities, Persian Rugs Boutique has been able to provide faster, more accurate customer support, improving customer satisfaction and reducing the workload for their support team.
How does the AI generate suggested replies?
The AI uses OpenAI Embeddings from previous tickets, knowledge base articles, uploaded files like policies/manuals/presentation and scraped website data to find relevant content. It then uses this content to generate a suggested reply.
How does the AI enhance search results?
When a customer or a support representative searches for information in the knowledge base, the AI uses the embeddings to find the most relevant articles.
How does the AI learn and improve over time?
The AI learns from each interaction, refining its embeddings and improving its ability to generate accurate, helpful responses. This continuous learning process ensures that the AI stays up-to-date with the latest product information and customer trends.
* This article provides an example of how a fictive company in the Retail sale of handmade carpets industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
