Salesmsg is a powerful SMS communication platform that allows you to manage conversations and contacts effectively. By integrating with Relevance AI, you can elevate your SMS capabilities with AI-driven insights and automation, streamlining your communication processes.
Salesmsg enables efficient SMS management and communication. With Relevance AI, you can leverage intelligent AI Agents to automate and optimize your messaging strategies, ensuring timely and relevant interactions.
Intelligent Message Orchestration
The AI agent seamlessly coordinates and prioritizes high-volume SMS communications across multiple customer segments
Predictive Response Generation
Leverages historical conversation data to craft personalized, context-aware message responses in real-time
Proactive Engagement Optimization
Analyzes messaging patterns to identify optimal timing and content for maximum customer response rates
Relevance AI integrates seamlessly with Salesmsg to enhance your SMS communication 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 Salesmsg account
- A Relevance AI account
- Authorization credentials for both platforms
Security & Reliability
The Salesmsg and Relevance AI integration enables seamless SMS communication management and automation within your applications. This integration allows you to search conversations, manage contacts, and handle user conversations programmatically through a robust API interface.
Key benefits include automated SMS communication workflows, centralized contact management, real-time conversation tracking, and secure OAuth-based authentication.
To get started, ensure you have the required accounts: a Salesmsg account with API access, a Relevance AI account, and OAuth credentials for Salesmsg API authentication. Make sure your system meets the requirements of Node.js 12.x or higher, HTTPS support for API calls, and a secure environment for credential storage.
For permissions, ensure you have the `pipedream-salesmsg-read-write` OAuth scope and that API access is enabled in your Salesmsg dashboard.
Begin installation by installing the Relevance AI client using either npm or pip. Configure OAuth authentication with your Salesmsg OAuth ID and permission type. Then, initialize the API client with the base URL and authentication details.
To quickly search conversations, use the search parameters with your OAuth ID and the term you want to search for. The expected response will include conversation details such as conversation ID and contact name.
Creating a new contact involves providing the necessary contact data, including phone number, first name, last name, and email. You can also retrieve user conversations by passing the OAuth account ID in the parameters.
Common issues include authentication errors, which can be resolved by verifying your OAuth credentials, and rate limiting, which requires implementing request throttling. Ensure phone numbers are in E.164 format to avoid invalid phone number errors.
Best practices include implementing error handling to manage authentication errors and other issues, as well as pagination to retrieve all conversations efficiently.
Finally, use the validation checklist to ensure your OAuth credentials are configured correctly, API endpoints are accessible, phone numbers are formatted correctly, rate limits are respected, error handling is implemented, and response parsing is validated.
For additional support, consult the full API documentation or contact Salesmsg support.
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.
