AutoParts Central receives hundreds of customer queries daily, ranging from product inquiries to after-sales support. To manage this volume, they implemented Deskhero's ticket management system. The AI capabilities of Deskhero analyze previous tickets and knowledge base articles to suggest replies, significantly reducing the response time.
Deskhero's AI also enhances the search results by leveraging OpenAI Embeddings from uploaded files like policies, manuals, and presentations. This feature allows the support team to quickly find relevant information, improving their efficiency and productivity.
To further streamline their operations, AutoParts Central uses Deskhero's custom fields and user groups features. These allow them to categorize tickets based on their nature and assign them to the appropriate teams, ensuring faster resolution of issues.
Deskhero's website scraping feature is another boon for AutoParts Central. It enables the company to keep track of competitor prices and offerings, helping them stay competitive in the market.
Finally, AutoParts Central uses Deskhero's REST API to integrate the platform with their existing systems, creating a seamless workflow that further enhances their operational efficiency.
How does Deskhero's AI improve response times?
Deskhero's AI analyzes previous tickets and knowledge base articles to suggest replies to new queries. This significantly reduces the time taken to respond to customer queries.
How does Deskhero help in staying competitive in the market?
Deskhero's website scraping feature allows companies to keep track of competitor prices and offerings, helping them stay competitive in the market.
Can Deskhero be integrated with existing systems?
Yes, Deskhero's REST API allows it to be integrated with existing systems, creating a seamless workflow.
* This article provides an example of how a fictive company in the Agents in sale of automotive parts and accessories industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
