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Marktiverse AI

Netomi
Published On 2020

Description

Netomi’s AI customer service tool offers an advanced platform that goes beyond traditional chatbots to provide automated customer service and support to enterprise-level businesses.

The tool aims to take care of the customers that businesses have worked hard to win by resolving up to 80% of routine customer queries automatically in real-time.

Netomi’s AI customer service offering encompasses a range of products, including conversational AI, email resolution, chat interface, and webforms. Netomi’s tool claims to increase support team capacity by 5x and enable a 90% ticket resolution rate.

Plus, the tool can provide customer support in over 100 languages. One of the key features of the tool is its ability to integrate with all customer communication software and back-end business systems, allowing for an end-to-end deep conversational channel integration with current platforms.The AI system powering Netomi’s customer service solution uses deep learning technology, creating a unique customer intent model using historical context and current sentiment analysis for higher customer satisfaction rates.

The AI can operate in both autopilot and co-pilot modes, acting as either an automatic or assistive agent, streamlining workflows among customer service representatives.Finally, Netomi’s conversational AI-powered solution offers omnichannel conversation capabilities, with customers able to converse using email, chat, messaging, voice, and SMS.

Pros & Cons

Pros

Automated customer service
Resolves 80% routine queries
Advanced platform
Supports over 100 languages
Increase team capacity 5x
90% ticket resolution rate
Integrates with all customer communication software
Deep conversational channel integration
Features autopilot and co-pilot modes
Uses deep learning technology
Customer intent modeling
Historical context analysis
Current sentiment analysis
Omnichannel conversation capabilities
Email, chat, messaging, voice, SMS support
Email resolution
Webform support
Real-time issue resolution
Proactive intelligence
Predictive emotional sentiment analysis

Cons

Requires third-party integrations
Lacks standalone features
Requires deep learning expertise
No offline capabilities
No explicit data privacy features
Overdependence on historical data
Limited customization options
Predetermined support languages
Co-pilot mode may slow responses
Limited to enterprise-level customers

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