Integrations

Supercharge Waitwhile with Relevance AI

Waitwhile is a powerful queue management tool that automates customer experience and waitlist handling. By integrating with Relevance AI, you can elevate your customer engagement strategies through advanced AI Agents that optimize workflows and enhance service delivery.

Give your AI Agents Waitwhile Superpowers

Waitwhile streamlines customer interactions and waitlist management, while Relevance AI empowers these processes with intelligent automation and decision-making capabilities that adapt to real-time data.

Predictive Flow Orchestration

The AI agent anticipates peak times and automatically adjusts queue management strategies for optimal customer flow.

Real-time Resource Optimization

Dynamic allocation of staff and resources based on live queue data and historical patterns.

Intelligent Wait-Time Analysis

Precise prediction of service duration and wait times using machine learning algorithms.

Tools

Equip AI Agents with the Waitwhile Tools they need

Relevance AI seamlessly integrates with Waitwhile to enhance your customer queue management workflows.

Add Customer Note Entry
Creates a new note entry for a specific customer in the Waitwhile system, allowing staff to document important information or updates about customer interactions
Remove Customer
Permanently deletes a customer record from the Waitwhile platform, removing all associated data and visit history
List Customers
Retrieves a paginated list of all customers in the Waitwhile system with options to filter by location, date range, and other criteria
Get Customer Note ID
Retrieves a specific note entry for a customer using the note's unique identifier
Search Customers
Performs a detailed search across customer records with support for filtering by location, state, tags, and text-based queries
Export Customers
Exports customer data in CSV or JSON format with options to filter by date range and location
Name
Waitwhile API Call
Description
Make an authorized request to a Waitwhile API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A retail store uses Waitwhile API calls to automatically sync their waitlist data with their CRM system, allowing them to track customer wait times and preferences while maintaining a single source of truth for customer data management.

Security & Reliability

The Waitwhile integration with Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your queue management and customer data. Relevance AI automates API operations (like creating customers, adding them to waitlists, and retrieving information) 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 customer data formats vary. This integration streamlines customer experience automation, allowing for real-time communication and efficient resource allocation.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Waitwhile + Relevance AI integration without writing code:
  • Start with a clean Waitwhile setup: Ensure your waitlists and customer data are organized with clear identifiers and consistent formats.
  • Utilize pre-built workflows: Relevance AI provides templates for managing customer queues and interactions, making it easy to get started.
  • Connect carefully: Verify that you are using the correct Waitwhile account and have the necessary permissions during setup.
  • Test before scaling: Conduct tests with sample data to ensure your automations work as expected before applying them to live data.
  • Monitor API usage: Be mindful of rate limits and implement throttling to avoid hitting API request caps.