Logistics mobile app development company

A focused driver app - job assignment, GPS status updates, proof of delivery with photo and signature, and offline sync - typically runs $30,000-$50,000. Add dispatch tools, route optimisation, and a customer tracking portal and you're looking at $50,000-$90,000. A full fleet management platform with vehicle tracking, maintenance scheduling, and driver analytics sits in the $80,000-$150,000 range. The fixed total is agreed before development starts. Request a 30-minute call to get a number for your specific scope. Our portfolio includes UrShipper, a logistics platform handling 2,000+ shipments across 70+ countries.

You launch a validated v1 in 8-14 weeks, then iterate. A driver app with GPS tracking, job lists, and proof of delivery reaches a shippable first version in 8-10 weeks. Add TMS or WMS integration and allow 12-14 weeks. A full fleet management platform with real-time tracking, maintenance scheduling, and analytics is a larger build; its first production slice runs 14-18 weeks and the platform grows from there. Every project starts with a one-week discovery that maps driver, dispatcher, and warehouse workflows before any code is written. You receive a fixed-price scope document at the end of week one. Development does not start until you have signed off on the scope, so you know exactly what you are buying and when you will receive it.

Offline-first is an architectural decision, not a feature added at the end. We use local-first data models: job data, forms, and scan events are written to device storage first, then synced to the server when connectivity returns. Conflict resolution handles edge cases - two drivers updating the same shipment record simultaneously does not produce data loss. We test offline behaviour as part of QA, not just on stable wifi. For warehouse apps, we assess the specific connectivity environment in week-one discovery so we know what data needs to be available locally and what can be lazy-loaded. This approach means drivers in tunnels, basements, or rural dead zones work without interruption, and nothing is lost when they reconnect.

Yes. We connect to major TMS platforms including Oracle TMS, SAP TM, MercuryGate, and custom REST or SOAP APIs. For WMS integration, we've connected to Manhattan Associates, Blue Yonder, and custom warehouse systems. The integration approach - push vs pull, event-driven vs polling, authentication model - is assessed in week-one discovery. We build against sandbox or test environments and run end-to-end integration tests before production cutover. If your TMS or WMS doesn't expose a documented API, we can work with the vendor or build a lightweight middleware layer. All integration points are documented in the technical handover so your internal team can maintain the connection after launch.

Photo capture with automatic compression and geo-tag, digital signature with stylus or finger, delivery notes and exception logging, barcode scan confirmation for item-level proof, and timestamp recording tied to GPS coordinates. All POD records are uploaded to the server immediately when online, or queued for sync when offline. Records are immutable once submitted and include device ID, timestamp, and GPS coordinates for audit and compliance purposes. Customer notification (SMS or email with a delivery confirmation link and attached photo) can be triggered automatically on submission. The full POD record is stored and exportable for dispute resolution, insurance claims, and carrier compliance reporting.

React Native and Flutter for iOS and Android from a single codebase - our default for logistics apps because drivers and warehouse staff use both platforms and a single codebase halves the maintenance surface. Swift or Kotlin for apps that need deep access to hardware APIs (NFC readers, Zebra scanners, specialised barcode hardware). Backend: Node.js or Python with PostgreSQL; AWS for infrastructure. GPS and mapping: Google Maps Platform or Mapbox for route display and ETA calculation; HERE Technologies for logistics-specific routing APIs. Barcode scanning: MLKit (on-device, no API call) for standard 1D and 2D codes; specialised SDKs for Zebra or Honeywell hardware scanners.