Logistics

Real-Time Streaming for Logistics

Track shipments, optimize routes, and manage fleets in real-time. RisingWave processes GPS telemetry, delivery events, and warehouse data with SQL — enabling live visibility across your entire logistics network.

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GPS

Fleet Tracking

Process GPS streams from thousands of vehicles with real-time positions and geofence events

Live

ETA Updates

Continuously recalculate delivery ETAs based on live traffic, weather, and driver progress

SQL

No Java Required

Write streaming pipelines in PostgreSQL-compatible SQL — no Flink or Spark needed

Exactly-Once

Delivery Guarantee

No duplicate or missed events across vehicle sensors, scanners, and delivery apps

The Challenge

Why do logistics companies need real-time data infrastructure?

Logistics operates on tight margins where every delay, missed delivery, or idle vehicle costs money. Batch processing means dispatchers work with stale positions, warehouse managers react to inventory gaps hours too late, and customers receive outdated tracking information. Real-time data infrastructure transforms logistics from reactive to proactive.

→Vehicle positions update every few minutes instead of in real-time
→Route recalculations rely on stale traffic and weather data
→Delivery exceptions go undetected until end-of-day reporting
→Warehouse pick-and-pack bottlenecks compound before batch dashboards update
→Customer tracking pages show positions that are minutes or hours old

The Solution

How does RisingWave power real-time logistics operations?

RisingWave ingests GPS telemetry, delivery scan events, and warehouse sensor data through Kafka, then continuously computes fleet positions, ETA predictions, and operational metrics using SQL materialized views. Dispatch systems and customer apps query fresh results with sub-100ms latency — no Java stream processing pipelines required.

Live Fleet Tracking

Process GPS streams from thousands of vehicles. Compute positions, speeds, and geofence events in real-time.

Dynamic ETA Computation

Continuously recalculate delivery ETAs based on live traffic, weather, and driver progress data.

Warehouse Event Processing

Track picks, packs, and shipments in real-time. Monitor throughput and detect bottlenecks instantly.

Exception Alerting

Detect late deliveries, route deviations, and idle vehicles the moment they happen with SQL-based rules.

Use Cases

What logistics use cases does RisingWave support?

RisingWave supports the most latency-sensitive logistics workloads where stale data directly causes failed deliveries, wasted fuel, and poor customer experiences. From tracking thousands of vehicles in real-time to optimizing warehouse operations, logistics companies use RisingWave to maintain live visibility across their entire supply chain.

✓

Fleet Tracking

Monitor real-time positions, speeds, and statuses for every vehicle in your fleet. Detect geofence breaches and unauthorized stops instantly.

✓

Route Optimization

Continuously evaluate route efficiency based on live traffic, delivery completion rates, and vehicle capacity. Dynamically reassign deliveries.

✓

Delivery Management

Track every delivery from dispatch to proof-of-delivery in real-time. Alert on exceptions, compute live SLA metrics, and update customer ETAs.

✓

Warehouse Operations

Process scan events, inventory movements, and pick-pack-ship workflows in real-time. Identify throughput bottlenecks and optimize labor allocation.

Frequently Asked Questions

Can RisingWave process GPS telemetry data in real-time?

How does RisingWave help with route optimization?

Does RisingWave handle high-volume logistics event streams?

Can RisingWave integrate with existing TMS and WMS platforms?

Ready to stream logistics data?

Start building real-time logistics analytics with SQL in minutes.

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