This function orchestrates real-time Estimated Time of Arrival (ETA) notifications for service requests. The AI agent monitors logistics data streams to calculate dynamic arrival windows, then triggers multi-channel delivery mechanisms including push notifications, SMS, and in-app alerts. It ensures accuracy by integrating traffic variables and technician status while maintaining a seamless communication loop between dispatch centers and end-users.
The system ingests real-time telemetry from service technicians and external traffic APIs to compute precise arrival estimates.
Dynamic notification logic triggers alerts when ETA changes occur, prioritizing high-impact updates for customer engagement.
Feedback loops capture customer acknowledgment and sentiment to refine future dispatch prediction algorithms.
Agent retrieves live technician location and traffic conditions from integrated logistics APIs.
System recalculates arrival window based on new variables and compares against previously sent estimate.
Trigger logic evaluates change magnitude to determine notification urgency and channel priority.
Delivery engine executes multi-channel broadcast with timestamped confirmation tracking.
Instant push notification delivered with current ETA, service status, and technician details directly to the customer device.
Fallback text message sent for users without app access, ensuring critical arrival updates reach all demographic segments.
Persistent display of live tracking within the service request interface allowing customers to view historical ETA accuracy metrics.