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SUCCESS STORIES

CUSTOMER SERVICE

Problem/Challenges

Comprehend large volume of documents and provide context-sensitive Q&A capabilities. Traditional chatbots are marginally effective.

Innovation

  • 1.Adaptive Query Patterns interprets a wide swathe of questions aimed at structured data sources.

Approach

  • 1.Standard NLP techniques are introduced in the mix--very effective in narrow use cases such as named entity recognition.
  • 2.Reading Comprehension Razorthink Proprietary complex models/ algorithms like Hybrid Deep Learning models, Dynamic Co-attention networks, QA Net that allow us to pinpoint the context of the questions.
  • 3.Adaptive Query Patterns automatically interpret questions aimed at structured data sources.

Result

Customer interaction increased by 24% and response to grievance time reduced by 47%.