Streamline your customer service with automations and improve your efficiency

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By linking to a knowledge base, an AI can quickly access pre-approved responses to recurring customer inquiries, saving time and increasing efficiency for both customers and customer service agents. With machine learning algorithms and natural language processing capabilities, the AI can also learn from past interactions and continuously improve its responses to better meet the needs of customers.


Group tickets by similarity, categorize them, and assign them to the right agent for faster responses. This can be done through machine learning algorithms that analyze the content and context of each ticket to identify patterns and similarities. The AI can then categorize the tickets based on their content and assign them to the most appropriate agent based on their skills and expertise.

Sentiment analysis

Sentiment analysis helps you better understand your customers, giving you a valuable information to improve your business. By analyzing customer feedback and comments, you'll gain a deeper understanding of their emotions and opinions, allowing you to tailor your products and services to better meet their needs. With our powerful sentiment analysis tool, you can make data-driven decisions and stay ahead of the competition.

Quick replies

Generate automatic responses using predefined templates with parameters like ticket ID or email address can be a very efficient way to address customer inquiries quickly and accurately. By automating this process, you reduce response times and improve the overall efficiency of customer service operations.