ToolNest AI

Quivr

Quivr automates customer support using AI to improve satisfaction and efficiency.

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Quivr

What is Quivr?

Quivr is a second brain connected to your data that can interact with the world on your behalf in a knowledgeable, considerate, and trustworthy way. It offers customer support automation, aiming to turn customer service into a business driver by automating up to 60% of tasks and leveraging AI to increase customer satisfaction and value. Quivr provides features like AI-powered reply suggestions, auto-resolutions, knowledge base integration, and business insights.

How to use

Integrate Quivr with your existing customer support platform (e.g., Zendesk) to leverage AI-powered reply suggestions, automatic ticket categorization, and resolution. Use the analytics dashboard to gain insights into customer behavior and support performance.

Core Features

  • AI-powered reply suggestions
  • Automatic ticket categorization
  • Automatic resolution
  • Knowledge base integration
  • Sentiment analysis
  • Business insights
  • Customer analytics
  • Unified brand voice

Use Cases

  • Automating customer support ticket resolution
  • Categorizing support tickets based on business rules
  • Providing a unified brand voice across the support team
  • Gathering insights on customers to make business decisions

FAQ

What percentage of customer support tasks can Quivr automate?
Quivr can automate up to 60% of all customer support tasks.
Does Quivr offer a free trial?
Yes, Quivr offers a free trial to experience its powerful customer support features.
Is Quivr compliant with data policies?
Yes, Quivr is SOC2 & RGPD compliant, ensuring high security and compliance with data policies.

Pricing

Pros & Cons

Pros
  • Automates up to 60% of customer support tasks
  • Increases customer satisfaction and value
  • Reduces Zendesk ticket resolution time
  • Provides business insights through customer analytics
  • Offers a free trial
Cons
  • Pricing not explicitly stated (pay-as-you-use model)
  • Requires integration with existing customer support platforms
  • Effectiveness depends on the quality of the knowledge base