Problems that solves
Low quality of customer service
High costs of routine operations
No automated business processes
No support for mobile and remote users
Low employee productivity
High costs of IT personnel
Failure to attract new customers
Low quality of customer support
Enhance Staff Productivity
Improve Customer Service
Increase Customer Base
Expand Sales Geography
Enhance Competitive Ability
Rasa is a free toolset to build, improve, and deploy contextual assistants across channels and languages, powered by the Rasa open-source ML framework.
Turn free-form text in any language into structured data. Supports single and multiple intents and both pre-trained and custom entities.
Hold back-and-forth conversations that remember context using machine learning-based dialogue management. Seamlessly integrate your business logic.
Generate training data by talking to your assistant and provide feedback when it makes an error.
Connect to messaging channels
Run your assistant on Slack, Facebook, Google Home, custom channels, and more.
Integrate your APIs
Interact with other APIs and systems through custom actions.
Roles of Interested Employees
Chief Executive Officer
Chief Information Officer
Chief Sales Officer
Web-based customer portal
Internet access is available for employees
Social networks are used