Real-Time Logistics and Fleet Tracking with SQL

Logistics companies need real-time visibility into fleet location, delivery ETA, route optimization, and shipment status. Streaming SQL processes GPS events, delivery updates, and traffic data continuously — enabling live tracking dashboards, proactive delay alerts, and dynamic routing.

Fleet Tracking Views

-- Real-time vehicle positions
CREATE MATERIALIZED VIEW fleet_positions AS
SELECT vehicle_id, driver_name,
  last_value(latitude ORDER BY ts) as lat,
  last_value(longitude ORDER BY ts) as lng,
  last_value(speed_kmh ORDER BY ts) as current_speed,
  MAX(ts) as last_update,
  NOW() - MAX(ts) as staleness
FROM gps_events GROUP BY vehicle_id, driver_name;

-- Delivery ETA calculation
CREATE MATERIALIZED VIEW delivery_eta AS
SELECT shipment_id, destination,
  estimated_arrival,
  CASE WHEN NOW() > estimated_arrival THEN 'DELAYED'
       WHEN NOW() > estimated_arrival - INTERVAL '30 minutes' THEN 'AT_RISK'
       ELSE 'ON_TIME' END as status
FROM shipment_events;

Frequently Asked Questions

Can streaming SQL handle thousands of GPS updates per second?

Yes. RisingWave scales horizontally and processes streaming GPS data with sub-second latency. Materialized views continuously compute fleet positions, ETAs, and alerts.

How does real-time tracking improve logistics?

Real-time tracking enables proactive delay notifications (before the customer calls), dynamic rerouting around traffic, and accurate ETA predictions. Batch tracking can only report what already happened.