The complete technical guide to building logistics software — fleet tracking, route optimization, delivery management, and real-time dispatch. Architecture, costs, and stack.
CEO, Ubikon Technologies
Logistics software is one of the highest-ROI categories in enterprise software. A fleet management app that saves 12% on fuel across 200 trucks pays for itself in weeks. But building real-time tracking systems has real technical complexity.
Here's the complete guide, from GPS architecture to route optimization to what it actually costs.
Track your vehicles in real time. Know where every truck is, how fast it's going, and when it last idled.
Core features: Live GPS map, vehicle history/playback, driver profiles, maintenance alerts, fuel consumption reports, geofence alerts
Who needs this: Transport companies, school bus operators, construction equipment rental, last-mile delivery
Manage the full order-to-delivery workflow — from order receipt to proof of delivery.
Core features: Order intake, auto-dispatch to drivers, route assignment, driver app (accept/navigate/complete), customer notifications (SMS/email), proof of delivery (photo + signature), returns workflow
Who needs this: D2C brands, restaurant chains, grocery delivery, pharmacy delivery
Solve the Traveling Salesman Problem at scale: what's the most efficient sequence for 50 stops across 8 drivers?
Core features: Multi-stop route planning, time windows, vehicle capacity constraints, driver breaks, real-time re-routing, what-if analysis
Who needs this: Field service companies, utility providers, courier networks, FMCG distributors
Match shippers with carriers. Think Uber for freight.
Core features: Load board (post + bid), carrier vetting, rate calculator, tracking, invoicing, dispute management
Who needs this: 3PL companies, freight brokers, spot market platforms
Logistics apps have unique technical challenges that differ from standard web apps.
The wrong way: Poll the server every 5 seconds from each vehicle. With 200 trucks, that's 2,400 requests/minute. It doesn't scale and introduces 5-second lag.
The right way: Use WebSockets or MQTT for persistent bidirectional connections.
Driver app → WebSocket → Node.js server → Redis pub/sub → Dashboard WebSocketGPS update frequency:
Stack:
A single vehicle tracking every 10 seconds generates:
For 50 vehicles, that's 13 million rows/month. Store this in PostgreSQL and queries will slow to a crawl within 6 months.
Solution: Use a time-series database for raw GPS data (TimescaleDB, InfluxDB, or AWS Timestream) and PostgreSQL for business records (orders, drivers, vehicles). Query time-series for live tracking; PostgreSQL for reporting.
Don't try to build a route optimizer from scratch. It's a PhD-level problem. Use:
For most products: start with Google Routes API or Routific. Build your own only if you reach 500+ daily routes and API costs exceed $5K/month.
| Provider | Best for | Cost |
|---|---|---|
| Google Maps | Best UX, most drivers familiar | Pay per use, can get expensive at scale |
| Mapbox | More control, better offline | Predictable pricing, excellent SDK |
| HERE Maps | Enterprise, offline maps, fleet APIs | Better for European routes |
| OpenStreetMap + Leaflet | Cost-sensitive, self-hosted | Free (infra costs only) |
Recommendation: Google Maps for consumer-facing (familiarity), Mapbox for B2B/enterprise (cost control at scale).
-- Vehicles CREATE TABLE vehicles ( id UUID PRIMARY KEY, plate_number VARCHAR(20), type VARCHAR(50), -- van, truck, motorcycle capacity_kg INTEGER, driver_id UUID REFERENCES drivers(id), status VARCHAR(20) -- active, maintenance, offline ); -- Orders CREATE TABLE orders ( id UUID PRIMARY KEY, tenant_id UUID NOT NULL, pickup_address TEXT, pickup_lat DECIMAL(10, 8), pickup_lng DECIMAL(11, 8), delivery_address TEXT, delivery_lat DECIMAL(10, 8), delivery_lng DECIMAL(11, 8), time_window_start TIMESTAMPTZ, time_window_end TIMESTAMPTZ, status VARCHAR(30), -- pending, assigned, picked_up, delivered, failed assigned_vehicle_id UUID REFERENCES vehicles(id) ); -- GPS telemetry (use TimescaleDB for this table) CREATE TABLE vehicle_locations ( time TIMESTAMPTZ NOT NULL, vehicle_id UUID NOT NULL, lat DECIMAL(10, 8), lng DECIMAL(11, 8), speed_kmh INTEGER, heading INTEGER, engine_on BOOLEAN ); -- TimescaleDB: SELECT create_hypertable('vehicle_locations', 'time');
Every logistics platform needs a driver app. It's where the real UX complexity lives.
Must-have screens:
Critical requirements:
Most enterprise fleet systems also integrate with vehicle hardware:
OBD-II dongles (plug into vehicle port) — Provide engine diagnostics, fuel level, real mileage. Popular devices: Geotab, Samsara, Verizon Connect hardware.
Dashcams — Incident recording, AI-powered drowsiness/distraction detection. Integration: Samsara, Lytx APIs.
Temperature sensors — Essential for cold chain (pharma, food). Log temperature every minute, alert on threshold breach.
If your client already has hardware in their fleet, you'll need to integrate with their telematics provider's API rather than build a custom tracking app.
| Component | Hours | Cost range |
|---|---|---|
| Backend API + database | 120–160h | $12K–$20K |
| Real-time tracking (WebSocket/MQTT) | 40–60h | $5K–$8K |
| Driver mobile app (Flutter) | 120–160h | $14K–$20K |
| Dispatch dashboard (web) | 100–140h | $12K–$18K |
| Maps + route optimization | 60–80h | $7K–$12K |
| Notifications (SMS, push, email) | 20–30h | $3K–$5K |
| Proof of delivery (photo + signature) | 20–30h | $3K–$5K |
| MVP Total | ~480h | $56K–$88K |
Full platform with route optimization, analytics, and integrations: $100K–$180K.
The business case for logistics software is easy to make:
| Metric | Typical improvement |
|---|---|
| Route efficiency | 15–25% fewer miles |
| Fuel cost reduction | 10–20% |
| On-time delivery rate | +20–35% |
| Driver productivity | +15–25% more stops/day |
| Customer satisfaction | -40% "where is my order" calls |
| Fleet utilization | +20% (better load planning) |
A 100-truck fleet saving 15% on fuel (at $8K/truck/year fuel cost) = $120K/year savings. Software that costs $80K pays back in 8 months.
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