Gnani.ai Auto Call Answering

Gnani.ai Auto Call Answering

Gnani’s enterprise ready auto call answering with it’s cutting edge NLP engine understands the intent and context of the callers . The ability to interactively answer complex questions delivers the right solution to the customer. This increases agents’ efficiency and helps reduce the overall cost for the company. Cognitive call/contact centers use AI technologies for Continuous Speech Recognition (CSR), Natural Language Processing (NLP), Speech Synthesis, (Text-to-Speech), Voice Biometrics, etc. Intent identification for auto call answering in customer support is critical for conversational systems. Gnani's Intent Identification engine helps ease that task by determining the intent of the caller and accomplish the specific tasks thereby providing superior customer experience

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.

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SOLUTION FEATURES

  • Domain-Specific Speech Engine
    Gnani’s AI-powered speech recognition and the contextual NLP engine transforms user engagement. It can be tailored to fit in perfectly with the required domain and supports multiple Indic languages like Hindi, Kannada, Tamil, English, Telugu & Gujara
  • 24/7 Customer Support
    Customer queries are sorted 24/7, reducing % calls handled by human agents and capable of handling large volumes of inbound and outbound calls . Queries that requires agents assistance are seamlessly rolled over to the respective agents.
  • Get Real Time Insights
    Every conversation can be captured, analyzed and aggregated to deliver real‑time insights.

CATEGORIES

Worldwide Intel® Xeon Scalable CSP - Amazon Web Services CSP - Google Cloud On-premise (Private Cloud, Other) Custom/Other Automotive Communications Cross-Industry Finance and Insurance Government Real Estate, Rental and Leasing Retail Models can be trained - requires labeled data AI Software/SaaS Linux Intel® Distribution for Python NLP Architect NLP Architect Proprietary Conversational Bots and Voice Agents Other Machine Learning