Align the customer and agent experiences by reducing the disparity between what the customer and agents see. This makes self-service feel more human and your support team feel more engaged. When everyone sees the same thing, triage is easy.
Use a continuous-learning workflow to make all your support systems smarter with every service interaction. With powerful deep learning to interpret user intent and match relevant content, you can improve self-service, freeing agent time and increasing customer satisfaction.
Customers and employees should have access to the same knowledge. When your customers train your FAQs, your employees see the knowledge that your customers demand. This enables agents to close more tickets more quickly.
How to avoid poor-performing and overlapping chatbot solutions and reduce the risk of failure when sourcing your chatbots from external providers,
Provide a steady stream of information that is valuable outside the contact center. Report and analyze those signals for business intelligence.
Empower front-line workers with applied machine learning, without needing to build models and know Python.
Improve search results quality with both manual business rules and AI-powered self-learning.
Chatbots are ideal for helping customers answer their own questions. Agents can use the same technology to learn about the same topics. Learn more…
Improve self-service success so customers don’t have to pick up the phone. They’ll thank you for it.
Analyze contact center interactions to recommend the best answer to common questions and problems.
Smart Answers extends the functionality of chatbots and virtual assistants with deep learning. Businesses can better serve their customers and employees by giving them fast answers to their product and support questions.
We hate our chatbots for two main reasons: terrible answers and a terrible experience. Here's how to claw your way out.
Learn how deep learning can improve agent effectiveness and free you from hours manually tuning knowledgebase articles.