GPS-Tracking-Mobile-Apps
Echtzeit-Standort, Geofencing und Flottensichtbarkeit
Wir bauen GPS-Tracking-Anwendungen für Flottenmanagement, Asset-Tracking, Personensicherheit und Haustier-Tracking — mit Live-Karten, Geofencing, Verlaufs-Playback, Routenoptimierung und akku-effizienten Standortstrategien.
Realtime location intelligence for fleets, assets and people
We build GPS tracking platforms for operators who can't afford location to be 'mostly accurate, eventually consistent'. From last-mile delivery fleets to safety-critical lone-worker products, our stack delivers sub-second updates, hardened geofencing, route history and a backend designed to ingest millions of pings per minute.
We engineer end-to-end: a battery-aware mobile collector, a low-latency ingestion pipeline (MQTT or HTTP-batching), a write-optimised time-series store, and operator dashboards that turn raw telemetry into operational decisions — fewer empty miles, faster dispatch, fewer SLA breaches.
Probleme, die wir in dieser Branche lösen
Drained driver phones
Naive 'every 5 seconds' GPS bleeds the battery in 4 hours. Operators end up with offline devices, no telemetry, and angry drivers.
Drift, jitter and tunnel gaps
Raw GNSS is noisy. Without sensor fusion you get cars 'driving' through buildings, geofences bouncing and angry support tickets.
Time-series chaos at scale
A relational table for 'positions' collapses past ~50 vehicles. Without TimescaleDB / InfluxDB / Clickhouse, queries die.
No visibility, no accountability
Operations teams chase phone calls instead of dashboards. SLAs are arguments, not numbers.
Kern-Fähigkeiten der App
Live map with sub-second updates
WebSocket-driven map view with vehicle trails, ETA, current speed, heading and driver status.
Trip history & breadcrumbs
Per-vehicle trip log with start/stop detection, idle time, max speed, route playback and per-leg analytics.
Route optimisation
TSP/VRP-grade solvers (OR-Tools, Valhalla) for multi-stop daily routes — fewer empty miles, lower fuel cost.
Geofences & alerts
Arbitrary-polygon geofences with enter/exit/dwell rules, push alerts to dispatchers and SMS escalation paths.
Driver-behaviour scoring
Harsh braking, cornering, over-speed and idling events scored on a configurable rubric — proven insurance-premium reductions.
Battery-aware collector
Adaptive sampling (1Hz when moving, ramps down when stationary), motion-fusion via accelerometer/gyro.
Echtzeit-Funktionen
MQTT over QUIC for ingestion
Long-lived, multiplexed connections survive cellular flakiness and tunnel transitions far better than HTTP polling.
WebSocket fan-out
Authenticated socket channels per fleet, with backpressure handling and snapshot+delta protocol for fresh joiners.
Push & SMS escalations
FCM/APNs for in-app alerts, Twilio/Vonage fallbacks for ops teams who don't always have the app open.
Server-Sent Events for dashboards
Lightweight one-way streams for ops dashboards that don't need bi-directional traffic.
Backend-Services, die wir bauen
Ingestion microservice
Stateless FastAPI/Go workers behind a load balancer, terminating MQTT or HTTP-batched payloads, validating, enriching and forwarding.
Time-series store
TimescaleDB or ClickHouse hypertables partitioned by fleet & day, with continuous-aggregate roll-ups for ops dashboards.
Stream processor
Kafka + Faust/Flink jobs detecting geofence events, harsh-driving events, ETA recompute on every position update.
API gateway
OAuth 2.0 + mTLS, per-fleet rate limits, OpenAPI contracts versioned and consumed by mobile + dashboard clients.
API-Integrationen
Sicherheitsmodell
- mTLS between mobile collector and ingestion endpoint
- Per-fleet row-level security on the time-series store
- OAuth 2.0 + short-lived JWTs with token rotation
- GDPR-compliant retention defaults (30/90/365 days) with operator-tunable policies
- Driver consent flows + audit log for who accessed which position when
- ISO 27001 / SOC 2-ready logging architecture
Gebaut, um zu skalieren
- Stateless ingestion workers behind a Kubernetes HPA — scale linearly with vehicle count
- Time-series partitioning + retention policies keep query latency flat as data grows
- Read replicas for ops dashboards; raw stream untouched for archival
- Geo-replicated regions for international fleets with data-residency requirements
- Backpressure-aware WebSocket fan-out — dashboards degrade gracefully under load
- Cold storage tier (S3 / Object Storage) for >90-day historical queries
Ideale Geschäftliche Einsatzgebiete
Logistikunternehmen, Ride-Sharing-Plattformen, Security-Firmen, Pet-Tech-Marken, Family-Safety-Apps und alle Produkte, die in Echtzeit wissen müssen, wo sich Dinge befinden.
Technologie-Stack
- Kotlin / Swift native collectors
- React Native bridge for mixed fleets
- Battery-aware adaptive sampling
- Local SQLite buffer for offline windows
- FastAPI / Go ingestion
- Kafka or NATS JetStream
- TimescaleDB / ClickHouse
- Redis Pub/Sub for live channels
- Kubernetes + Helm
- Prometheus + Grafana
- OpenTelemetry tracing
- S3-compatible object storage
Mobile- + Backend-Ökosystem
- Driver app (Android/iOS)
- Lone-worker app
- Inspector / supervisor app
- Ingestion API
- Stream processor
- Time-series store
- Ops dashboard API
- Map provider
- Routing engine
- Traffic feed
- SMS gateway
- TMS / ERP
- Billing
Ready to build a mobile platform that scales?
From discovery to launch and beyond — we partner with enterprises across the EU and Balkans to deliver mobile applications that perform under load, comply with regulation and grow with your business.