TomTom is a leading location technology company providing mapping, navigation, and traffic data services.
Enhance your location-based operations with AI agents that can leverage real-time geolocation data for intelligent routing, analytics, and automation.
TomTom provides powerful location data, mapping, and routing capabilities. Relevance AI transforms this into intelligent AI agents that can analyze, optimize, and automate location-based decisions at scale.
Dynamic Route Orchestration
The agent adapts routes in real-time based on current traffic conditions.
Enhanced Operational Efficiency
The agent automates workflows, reducing manual tasks and increasing productivity.
Proactive Customer Engagement
The agent provides timely updates and notifications to enhance customer interactions.
Relevance AI gives you access to TomTom's location intelligence capabilities within your AI agent 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 TomTom Maps API key
- A Relevance AI account with project access
- Authorization credentials (secured via OAuth authentication)
Security & Reliability
The integration leverages TomTom's secure OAuth authentication, ensuring authorized access to location and mapping services through Relevance AI's workflow engine. Automated API request handling and response formatting streamlines operations across TomTom's routing, geocoding, and search endpoints.
Built-in request validation and error handling ensure reliable integration with TomTom's services, while maintaining consistent data formatting across all API interactions.
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.
Best Practices for Non-Technical Users
To get the most out of the TomTom + Relevance AI integration without writing code:
- Use accurate location data: Ensure coordinates and addresses are properly formatted for TomTom APIs.
- Optimize API calls: Batch similar requests together to minimize API usage and improve performance.
- Handle responses properly: Set up error handling for different response codes and rate limits.
- Cache when possible: Store frequently accessed location data to reduce API calls.
- Monitor usage: Keep track of API consumption to stay within TomTom's service limits.
