FAQ from Stylo: AI Tool for Support & Customer Experience
What is Stylo?
Stylo is an advanced AI assistant designed to enhance support and improve the customer experience. It provides intelligent recommendations on where to effectively spend time, automates ticket translation, predicts customer satisfaction, identifies and escalates angry tickets, and generates unique responses for every ticket. Stylo seamlessly integrates with Zendesk to offer AI assistance in multiple languages.
How to use Stylo?
To use Stylo, simply integrate it with your Zendesk ticketing system. Once integrated, Stylo Assist will be available in every Zendesk ticket, providing AI assistance to your support agents. It analyzes customer comments and problems, generates unique responses, translates tickets to and from any language, predicts customer satisfaction, and identifies and escalates angry tickets. Experience the power of Stylo by pasting a real customer comment or problem from a ticket and witness its suggested response.
How does Stylo Assist work?
Stylo Assist functions by analyzing customer comments and problems within Zendesk tickets. Using AI technology, it generates unique responses for each ticket, translates tickets to and from any language, predicts customer satisfaction, and identifies and escalates angry tickets in real-time.
Can Stylo Assist be integrated with Zendesk?
Absolutely! Stylo Assist seamlessly integrates with Zendesk, providing AI assistance to support agents. It is accessible in every Zendesk ticket, enabling agents to efficiently handle customer queries in multiple languages.
What is the pricing for Stylo Assist?
The pricing for Stylo Assist is $10 per agent per month.
What are the core features of Stylo?
Stylo's core features include generating unique responses for every ticket, automatically translating tickets to and from any language, predicting customer satisfaction, and identifying and escalating angry tickets in real-time.
What are the use cases for Stylo?
Stylo can be utilized to enhance customer satisfaction and response time, efficiently manage support teams by identifying knowledge gaps and process improvements, proactively address customer issues before negative reviews or feedback, and improve customer support through accurate sentiment analysis.