Uses AI to automatically assign customer cases to the most appropriate agents based on historical data and skill matching.
AI-driven chatbots that handle common customer inquiries 24/7 using natural language processing.
Analyzes customer interactions to detect emotions and tone, providing insights into customer satisfaction.
Suggests relevant knowledge base articles to agents during case resolution based on context and past solutions.
Streamlines support processes with AI-driven triggers and actions for tasks like escalations and follow-ups.
Provides deep insights into support performance, trends, and customer behavior through predictive analytics.
Use Einstein Bots to handle common customer queries, reducing agent workload and providing instant responses.
AI-powered recommendations help agents resolve cases faster by suggesting solutions and routing efficiently.
Predictive analytics identify potential issues before escalation, enabling preemptive outreach and support.
Route customers with negative sentiment to experienced agents for better handling and improved satisfaction.
Tailor support interactions based on customer history and preferences using AI insights.
Keep knowledge bases updated and relevant by analyzing case data and suggesting new articles.
Apply AI across email, chat, phone, and social media for consistent customer experiences.
Use AI to ensure support interactions adhere to regulatory standards and company policies.
AI guides less experienced staff with real-time suggestions and learning from historical cases.
Predictive analytics help plan resources by forecasting customer inquiry volumes and trends.
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