Parabolic

AI Support Agent to accelerate ticket resolution

Customer support· 4.5·0 saves·Free

Quick facts

Best for
Customer support
Pricing
Free
Editor rating
4.5 / 5
Community saves
0
Parabolic screenshot 1

About Parabolic

ChatGPT for Customer Support, known as Parabolic, is an AI tool designed to enhance customer support services. This AI assistant is aimed at improving the efficiency and accuracy of ticket resolutions, eliminating repetitive queries, and providing specialized responses. Integrated within existing ticketing softwares like Intercom, Zendesk, or Helpscout, it uses a 'human-in-the-loop' model where responses are verified by agents before they're sent, allowing it to learn and improve over time. With just one match in past conversations or knowledge base, Parabolic can suggest responses, even addressing rarely asked queries. It's capable of navigating multiple back-and-forths as conversations progress. Another distinct feature is its ability to append relevant upsells or cross-sells based on the customer's issue, turning customer support into a potential sales channel. The 'Auto-Categorize' feature is designed to automatically tag and direct incoming questions to the appropriate category like payments, memberships, etc. It's also designed to detect a user's intent, independent of specific keywords, and draft two types of responses: generalizable and customer-specific. Generalizable responses can be used for common queries, while customer-specific responses utilize information from your internal database for more personalized assistance.

Pros

  • Accelerates ticket resolution
  • Embedded within existing software
  • Trained on user's data
  • Detects user's intent
  • Auto-drafts responses
  • Handles multiple exchanges
  • Adds upsells/cross-sells
  • Auto-categorizes incoming questions
  • Auto-indexes sent responses
  • Answers rarely asked questions
  • Uses human-in-the-loop model
  • Improves over time

Cons

  • Limited to existing ticketing software
  • Agent verification slows responses
  • Dependent on past conversation data
  • Possibility of inappropriate upsell/cross-sell
  • Automated categorization errors
  • Limited to specific databases integration
  • Demands extensive user-specific data
  • Potential privacy issues
  • Pricing not specified

Pricing

Pricing model
Free
    Paid options from
    Free