Mobile App Development for Logistics Companies
We develop turnkey mobile apps for logistics companies — from process audit to store publication. The challenge is not just writing code, but creating a system that unifies drivers, warehouse workers, dispatchers, and customers. With improper role-based screen design, you get a patchwork instead of a unified app. That's why development starts not with screens, but with business process modeling.
Over 5+ years of work and 50+ projects in the transportation and logistics sector, we have accumulated solution templates for typical tasks: routing, scanning, tracking, offline synchronization. All solutions are adapted to each specific client.
How to Optimize Delivery Routes?
A logistics company handles dozens or hundreds of deliveries per day. The driver's key problem is the optimal order of stops. This is the Travelling Salesman Problem (TSP), solved for practical volumes using heuristics: nearest neighbor, 2-opt, or ready-made APIs.
Google Routes Optimization API (formerly Route Optimization AI) accepts a list of addresses and constraints (time windows, load capacity) and returns the optimal route. OR-Tools from Google is an open-source library for the server side. For small volumes (up to 20-30 points), computation can be done on the client; for larger ones, a server-side service is needed.
Delivery time windows are an important business parameter. A customer orders delivery "from 2 to 4 PM". If the driver arrives at 5:30 PM — a complaint. The routing algorithm must account for these windows and warn the dispatcher about unrealistic schedules.
What Does Barcode Scanning Provide?
Proof of receipt via scanning is a logistics standard. MLKit Barcode Scanning (Google, on-device) and Vision Framework (Apple, VNDetectBarcodesRequest) are faster and more accurate than Zxing. MLKit recognizes QR, Code128, EAN-13, DataMatrix without internet, which is critical for a warehouse with poor coverage.
Integration into the app: CameraX (Android) or AVCaptureSession (iOS) with constant preview and overlay for aiming. Important: auto-close the preview after successful scan and vibration as tactile confirmation.
Warehouse module — a separate flow. The worker scans a box, sees its contents and status, can change location or mark damage. Offline operation is required: the warehouse may be in a basement without LTE. Room (Android) / Core Data (iOS) as local storage with sync upon network recovery via WorkManager / BackgroundTasks.
Sync conflicts — if two workers changed the same item offline — a resolution strategy is needed: last-write-wins, or an explicit conflict UI ("data changed on the server, choose version").
How Do We Ensure Offline Synchronization?
The warehouse module — a separate flow. The worker scans a box, sees its contents and status, can change location or mark damage. Offline operation is required: the warehouse may be in a basement without LTE. Room (Android) / Core Data (iOS) as local storage with sync upon network recovery via WorkManager / BackgroundTasks.
Sync conflicts — if two workers changed the same item offline — a resolution strategy is needed: last-write-wins, or an explicit conflict UI ("data changed on the server, choose version").
Tracking and Customer App
Customers want to see where their package is right now. This can be a separate app or a public web page with tracking by order number. For a mobile customer app: map with courier marker, motion animation (interpolation similar to passenger taxi), push notifications on status change.
Delivery status model: created → picked_up → in_transit → out_for_delivery → delivered / failed. Each transition triggers a push notification. failed with reason and offer to reschedule delivery.
Analytics and Reporting
Manager module: dashboard with KPIs — on-time delivery percentage, average time per stop, delayed routes on a heat map. Heatmap via Google Maps TileOverlay with custom tile provider or Mapbox HeatmapLayer. Data — aggregation from backend API, cached locally with TTL of 5-10 minutes.
According to Gartner research, implementing mobile solutions in logistics reduces operational costs by 15-25%.
Module Comparison
| Module | Core Functions | Technologies |
|---|---|---|
| Driver | Route, scanning, delivery confirmation | Flutter, Google Maps, MLKit |
| Warehouse | Inventory, receiving, shipping | Room/CoreData, CameraX/AVCapture |
| Dispatcher | Dashboard, task assignment, analytics | WebView/Flutter, REST API |
| Customer | Tracking, history, push notifications | Flutter, Firebase, Mapbox |
Tech Stack and Architecture
Clean Architecture is mandatory with such complexity: different roles → different modules → common core. Flutter with modular structure (feature_core, feature_driver, feature_warehouse, feature_client) — each module compiles separately, speeding up builds and allowing parallel work.
Push: FCM for Android and APNs for iOS via a unified backend (Firebase Admin SDK or Expo Notifications). Maps: Google Maps SDK or Mapbox, depending on client geography.
What's Included
We provide a complete set of documentation and deliverables:
- Technical specification and interface prototype (Figma)
- Modular architecture (by roles)
- Source code with comments and CI/CD (GitLab/GitHub)
- Integration tests and load testing
- Publication in App Store and Google Play
- Staff training (2 days online)
- One month post-launch support
Why Choose Us?
Our engineers are certified in iOS and Android, with experience in large logistics networks (5+ years on the market, 50+ completed projects). We guarantee adherence to deadlines and transparent reporting. Contact us for a project assessment — we'll calculate cost and timeline individually.
After implementing the solution, one client saved 2.4 million rubles annually on fuel and amortization through route optimization.
Timeline and Cost
Developing a complete logistics system takes 16 to 28 weeks depending on integration complexity. Cost is calculated individually after a business process audit. Get a consultation — write to us, and we'll prepare a commercial proposal.
Common Mistakes in Logistics App Development
- Ignoring delivery time windows — leads to customer dissatisfaction.
- Lack of offline mode for the warehouse — failures during poor internet.
- Insufficient handling of concurrent changes — data discrepancies.
- Weak analytics — managers don't see the real picture.







