Advanced NLU
Identify the action or the intent from user’s input and provide more accurate response.
Overview
Improved accuracy of results, Results driven conversation, Personalized experience.
Extract meaningful information from customer queries, enabling more precise and personalized responses and provide a more engaging and relevant experience.
Benefits
Personalization
Empower digital agent with personalized responses & recommendations.
Adaption
Adapt to new contexts & user needs rapidly, maintaining relevance in responses.
Automation
Enable automaton of tasks that previously required human interventions.
Experience
Enhance customer satisfaction by with natural & user-friendly conversations.
Use cases
Scenario:
The current chatbot struggles with IT inquiries, lacking precision in tasks like password resets and computer issues. An improved system is needed for more accurate and helpful user assistance.
Approach:
- Improve the digital agent’s understanding of common IT issues through enhanced Natural Language Understanding.
- Train the NLU model with diverse IT-related sample utterances for better accuracy in intent detection.
- Monitor the NLU performance based on user’s interactions to improve the accuracy.
Scenario:
The current chatbot struggles with IT and HR distinctions, necessitating an improved system for accurate and appropriate user assistance in both departments.
Approach:
- Enhance digital agent’s NLU to discern IT and HR inquiries effectively.
- Train NLU model with specific IT and HR sample utterances for improved accuracy.
- Enable context-aware responses, ensuring the digital agent assists users appropriately in both IT and HR interactions.
Scenario:
The current chatbot struggles to understand nuanced discussions about company policies and employee skill programs, requiring enhancement for more effective responses.
Approach:
- Update the utterances to identify the nuances in the conversations.
- Train the NLU model with simulations to understand the responses for such complex conversations.