Logistics mobile app development company

Every RaftLabs project starts at $10000. A focused driver app covers job assignment, GPS status updates, proof of delivery with photo and signature, and offline sync. Dispatch tools, route optimisation, a customer tracking portal, fleet management, vehicle tracking, maintenance scheduling, and driver analytics expand scope. The fixed total is agreed before development starts. Our portfolio includes UrShipper, a multi-carrier shipping platform RaftLabs rebuilt.

Every project starts with a discovery that maps driver, dispatcher, and warehouse workflows before any code is written. You receive a fixed-price scope document at the end of discovery. 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 during 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 during 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.

Hybrid wins: keep commodity WMS, TMS, mapping, messaging, and payments where proven tools work; build the layer that carries your service promise: dispatch rules, carrier selection, customer portal, exception workflows. Third-party integrations are usually the largest single cost driver; budget integrations explicitly.

A dispatching system is only as effective as its field adoption. The driver experience must be simple, fast, and reliable. Driver hesitations are data charges, surveillance fears, and added responsibility. The design answers: driver-controlled tracking start and stop, no-app SMS fallback for short hauls, incentives like rapid invoicing. Train by workflow, not by screen: dispatchers, drivers, and warehouse staff learn their day, not the app's menu tree.

The killer question: what could make this project fail? Then the technical ones: how will you test mobile GPS, offline mode, geofencing, and driver status updates? Can you integrate with our existing ERP, WMS, and TMS, and who owns the source code? Ask for a live demo with your actual data, and pricing at your actual load volume. And confirm the offline story: the app must place orders, capture proof of delivery, and auto-sync on reconnect. If it cannot function without internet, it limits how connected your fleet can be.

Watch a driver complete a full delivery on the app: offline, in the field, on their actual device. Check proof of delivery capture with auto-sync: that is the operational test. Ask about dispatch governance: can experienced dispatchers override automated decisions, and is there an audit trail? And measure adoption, not features: what percentage of drivers use the app daily after 30 days? A feature checklist that nobody opens is a failed project.

React Native and Flutter for iOS and Android from a single codebase, our default for logistics apps. 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.