Enable AI agents to monitor locations, detect geofence events, and respond to user movement patterns through Radar's location platform.
Connect using your Radar publishable and secret API keys to enable AI agents to access location services and manage geofences for your application.
AI agents create and manage geofences around specific locations, setting radius parameters and metadata that determine when entry and exit events should trigger actions.
Enable AI to track user location updates, detecting when devices enter or exit designated geofences and capturing context like dwell time and visit frequency.
AI agents process location data to identify user behavior patterns such as commute routes, frequently visited places, and travel habits for personalized experiences.
Configure AI to execute specific workflows when location events occur, such as sending notifications, updating records, or initiating service delivery based on proximity.
AI agents monitor ongoing trips from start to destination, providing real-time updates on estimated arrival times and route deviations for logistics coordination.
Enable AI to confirm user presence at specific locations using Radar's place detection, ensuring service delivery occurs at correct venues or addresses.
AI agents compile analytics on location patterns, visit frequencies, and geographic trends to inform business decisions and optimize operations based on movement data.
Build an intelligent logistics platform where AI agents track delivery driver locations, monitor progress toward destinations, and notify customers when deliveries are approaching. The system updates ETAs dynamically based on real-time location data and triggers automated communications when drivers enter geofenced delivery zones.
Create a customer engagement solution where AI agents detect when users enter retail location geofences and trigger personalized offers, loyalty rewards, or appointment reminders. The system recognizes repeat visits, measures dwell time, and adapts engagement strategies based on individual customer behavior patterns.
Develop a workforce management system where AI agents monitor technician locations, assign jobs based on proximity to service addresses, and verify arrival at customer sites. Automated check-ins occur when workers enter job location geofences, streamlining time tracking and ensuring accurate service records.
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Describe what you need. Cody handles the build, the connections, and the deployment.