Starloop is a powerful tool for automated review management and customer feedback collection through an API-driven workflow. By integrating with Relevance AI, you can enhance your review processes with advanced AI capabilities that help you understand and act on customer sentiments effectively.
Starloop automates the process of collecting customer feedback and managing reviews across multiple channels. With Relevance AI, you can leverage intelligent AI Agents to analyze this feedback and drive actionable insights for your business.
Intelligent Review Orchestration
The AI agent automatically prioritizes, routes, and manages review responses across multiple platforms based on sentiment and urgency.
Sentiment-Driven Engagement
Analyzes review content in real-time to deliver personalized, context-aware responses that maintain brand consistency.
Strategic Insight Generation
Transforms raw review data into actionable business intelligence through advanced pattern recognition and trend analysis.
Relevance AI seamlessly integrates with Starloop to enhance your automated review management workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Starloop account
- A Relevance AI account with access to your project settings
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Starloop and Relevance AI integration streamlines your review management and customer feedback processes through a secure, API-driven workflow. This integration leverages OAuth authentication to ensure that only authorized workflows can access your Starloop data, allowing you to programmatically send review invitations and manage customer feedback seamlessly.
Relevance AI handles all API operations—such as sending invites, retrieving business IDs, and making custom API calls—behind the scenes, so you can focus on enhancing customer engagement without worrying about errors, formatting, or rate limits.
With built-in validation and error handling, your workflows will run smoothly, even when dealing with varying data formats. The integration supports multi-channel feedback collection via email and SMS, ensuring you capture customer insights effectively across different platforms.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
