AnswerIQ provides customer support using natural language processing techniques. A self-learning AI predicts where each ticket should be routed, provides recommended responses, and automates routine tickets.
When the customer submits a question or issue, AnswerIQ recommends possible solutions before creating a support ticket. When new support tickets arrive, AnswerIQ uses patterns from previous agent responses to direct new cases to the right agent. After evaluating the closed tickets, AnswerIQ provides three recommended responses, out of which one is picked by the agents, personalized, and sent.
Self Assist uses AI to understand the context and content of incoming tickets and provide relevant content suggestions.
Robo Assist is an AI + RPA (Robotic Process Automation) driven operation to automate repetitive customer requests.
The machine learning model learns the pattern of tickets and auto-responds to certain tickets
Automated triage provides the ability to classify the request across a wide range of fields and systems. Routing rules are created from patterns in past customer interactions.
Agent Assist is an AI-based assistant that plugs into an existing CXM system and connects agents to their content.
The Chatbot uses AI and Natural Language Processing techniques to interact with customers before the ticket is submitted.
AnswerIQ Resources Library - AI for Customer Support