Advanced NLU
Identify the action or the intent from user’s input and provide more accurate response.
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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
Empower digital agent with personalized responses & recommendations.
Adapt to new contexts & user needs rapidly, maintaining relevance in responses.
Enable automaton of tasks that previously required human interventions.
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.
- Train NLU model with specific IT and HR sample utterances for improved accuracy.
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.
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