Integrations

Supercharge Product Fruits with Relevance AI

Product Fruits is a leading platform for collecting and analyzing product feedback to drive data-driven decisions.

Enhance your feedback management with AI Agents that can autonomously gather insights, analyze sentiments, and trigger actions based on user responses.

Give your AI Agents Product Fruits Superpowers

Product Fruits excels at gathering and analyzing customer feedback across channels. Relevance AI transforms this feedback into intelligent action through AI Agents that can automatically respond, categorize, and prioritize user insights.

Intelligent Feedback Orchestration

The agent autonomously gathers and organizes user feedback across multiple channels.

Real-Time Insight Generation

Instantly analyzes feedback to provide actionable insights for product teams.

Dynamic Sentiment Analysis

Continuously assesses user sentiments to prioritize issues that need immediate attention.

Tools

Equip AI Agents with the Product Fruits Tools they need

Relevance AI gives you access to Product Fruits' feedback collection and analysis capabilities within your automated workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Product Fruits data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about errors, formatting, or limits.

Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

To get the most out of the Product Fruits + Relevance AI integration without writing code:
  • Configure authentication properly: Ensure OAuth credentials are correctly set up with appropriate permissions.
  • Use consistent API paths: Maintain organized endpoint structures for reliable data flow between systems.
  • Follow RESTful practices: Use appropriate HTTP methods (GET, POST, PUT, DELETE) for different operations.
  • Handle responses carefully: Monitor response status codes and implement proper error handling.
  • Optimize request headers: Include only necessary headers and maintain proper authorization formatting.