intent-based conversation routing
Automatically analyzes incoming customer messages to identify intent and routes conversations to appropriate handlers—either AI chatbots for routine inquiries or human agents for complex issues. Uses proprietary intent recognition to reduce unnecessary human agent involvement.
omnichannel conversation aggregation
Consolidates customer conversations from multiple communication channels (web chat, SMS, WhatsApp, Facebook Messenger, Apple Business Chat) into a single unified dashboard. Agents can manage all customer interactions across channels from one interface.
proactive customer engagement
Initiates outbound conversations with customers based on triggers (abandoned carts, service issues, renewal dates). Enables proactive support and sales engagement without waiting for customer contact.
agent performance coaching
Provides real-time and post-conversation coaching to support agents based on conversation analysis. Suggests improvements, highlights best practices, and tracks agent development over time.
knowledge base integration
Connects to enterprise knowledge bases and documentation to provide chatbots and agents with accurate, up-to-date information. Enables consistent answers across all support channels.
conversation personalization
Tailors chatbot and agent responses based on customer profile, history, preferences, and behavior. Delivers personalized experiences that increase customer satisfaction and conversion.
crm context synchronization
Integrates with major CRM systems (Salesforce, Microsoft Dynamics, etc.) to pull real-time customer data and context into support conversations. Agents see customer history, account details, and previous interactions without manual lookup.
ai chatbot conversation handling
Deploys AI-powered chatbots to handle routine customer inquiries without human intervention. Chatbots can answer FAQs, process simple requests, and gather information before escalation.
+6 more capabilities