IndusProp Solutions uses Deskhero's AI capabilities to manage a large volume of customer inquiries about property availability, pricing, and leasing terms. The AI leverages OpenAI Embeddings from previous tickets and knowledge base articles to suggest replies, drastically reducing response times.
The custom fields feature allows IndusProp to categorize tickets based on property type, location, and other specific parameters. This structured data helps the AI to understand the context better and provide more accurate suggestions.
Deskhero's website scraping feature is used to keep track of changes in property listings on competitor websites. This information is used to update the knowledge base and provide customers with the most up-to-date information.
IndusProp also uses the REST API to integrate Deskhero with its existing CRM and property management systems. This seamless integration allows the AI to access a broader range of data, further enhancing its effectiveness.
Finally, the Kanban board feature provides a visual representation of all ongoing tickets, allowing the team to track progress and identify bottlenecks. The AI uses this data to optimize workflows and improve overall efficiency.
How does Deskhero's AI improve response times?
Deskhero's AI uses OpenAI Embeddings from previous tickets and knowledge base articles to suggest replies to new inquiries. This drastically reduces the time required to draft responses.
How does Deskhero integrate with existing systems?
Deskhero provides a REST API that allows it to integrate seamlessly with your existing CRM and property management systems.
How does Deskhero's AI use the Kanban board to optimize workflows?
The AI analyzes the data from the Kanban board to identify bottlenecks and suggest improvements to workflows.
* This article provides an example of how a fictive company in the Industrial and Warehouse Property Lettings industry is using Deskhero. Sign up now for free to discover how it can benefit your own organization.
