SupportGPT or Ebi? A Comprehensive Review

Automates customer support workflows

Incorporates Large Language Models

Tailored to company's conversation history

Identifies support coverage gaps

Automatically generates knowledge articles

Provides suggested responses to agents

Responses based on ticket context

Individualized workflows for specific industries

Generates proactive insights

Predicts

Handles 85% of routine enquiries

Set-up process takes minutes

Natural language processing

Text-to-speech

Managed service available

Encrypted connection

Secure data storage

Increases customer satisfaction

Increases capacity

Lowers costs

Depending on company's conversation history

Limited specific industry adaptation

Limitations in integrations offered

Potential privacy concerns

Accuracy of generated responses

Empathy levels in conversations

Requires extensive training

Platform-specific functionality

No multilingual support

Lacks API integration

Not fully customizable

Not open source

Lack of real-time analytics

No mobile application

Setup not user-friendly

Limited customer support channels

No personal data control features

Lacks data export functionality