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Logistics app development

From pizza delivery or a local taxi service, to international transportation companies - we develop apps which increase transparency and efficiency of logistics on any scale.

Key features

Track parcels or vehicles on a map

Manage and schedule deliveries

Chat with driver or customer

Scan barcodes to check-in and check-out parcels

Keep notes and take photos of package

Calculate cost of delivery with chosen options

Push-notifications about delivery status

Manage your warehouse

Why choose our custom software development

550+
Project released
Clients from all around the world
Working with customers from USA, UAE, Japan, and Germany
10 years
Of making apps for startups and businesses
>50К
Positive reviews collected by our customers' apps in the app stores
>7 years
Longest partnership with the client
200+
People on the team

FAQ

What is a logistics app and what problems does it solve?

A logistics app is software that connects drivers, dispatchers, warehouse staff, and end customers in a single operational workflow. It addresses four recurring problems: dispatchers lose visibility when drivers go offline; customers receive no status updates until delivery is complete; paper-based proof-of-delivery creates disputes; and manual route planning wastes fuel and driver hours. A purpose-built logistics app replaces spreadsheets and phone calls with real-time GPS tracking, automated order assignment, digital proof-of-delivery, and a customer-facing tracking link — consolidated in one system.

What types of logistics apps exist?

There are four main categories. Delivery and courier apps handle last-mile operations — driver order queue, navigation, and proof-of-delivery. Fleet management apps track vehicle location, fuel consumption, mileage, and driver compliance for transport companies. Warehouse management apps handle picking, packing, and inventory movements with barcode and QR scanning. Freight brokerage apps connect shippers and carriers with load matching and digital document exchange. Many platforms combine two or three of these — a mid-size courier operation typically needs a driver app, a dispatcher dashboard, and a customer tracking portal as a combined product.

How much does logistics app development cost in 2026?

A logistics MVP — driver app with real-time GPS, order list, turn-by-turn navigation, and digital proof-of-delivery — typically costs $35,000–$55,000 and takes 3–4 months. A mid-tier platform with a dispatcher map dashboard, route optimization, customer tracking link, and WMS integration costs $70,000–$110,000. Full-scale platforms with multi-depot management, automated billing, and TMS integration start above $130,000. The two biggest cost drivers are the number of distinct user roles (driver, dispatcher, warehouse, customer) and the depth of ERP or TMS integration. We provide a fixed estimate after a one-week discovery session.

How long does it take to build a logistics app?

A logistics MVP takes 3–4 months from design kick-off to production deployment. That breaks down as: 3–4 weeks for UI/UX design covering the driver app, dispatcher web panel, and customer tracking page; 8–10 weeks for development; and 2 weeks for QA and deployment. Platforms that require WMS or TMS integration add 4–8 weeks depending on API documentation quality — a well-documented REST API takes 2–4 weeks; a legacy ERP without documentation can take 6–10 weeks. We work in two-week sprints and deliver a working demo after each one.

What must-have features should a logistics app include?

Based on projects we have delivered, the non-negotiable features are: real-time GPS tracking with dispatcher map view refreshed via WebSockets within 1–2 seconds; order list with priority sorting and push notifications for new assignments; turn-by-turn navigation via Google Maps or Waze; proof-of-delivery with photo capture, electronic signature, and barcode scan; offline mode so drivers can complete deliveries in low-connectivity areas and sync when connection returns; and a customer-facing tracking link with live ETA. Route optimization and automated reporting are typically scoped into a second release.

How does real-time GPS tracking work in a logistics app — and what about battery drain?

We use iOS Background Modes and Android Foreground Service for background location tracking. Updates are sent to the backend every 15–30 seconds while a delivery is active and stored in a time-series structure for route replay. The dispatcher map view uses WebSockets so positions appear within 1–2 seconds. Battery drain is reduced by lowering update frequency when the driver is stationary, detected via device activity recognition or geofencing. In practice WebSocket-based delivery typically reduces battery consumption by 20–40% versus naive always-on HTTP polling on the same hardware — exact figures depend on update frequency, OS power management, and device generation, so we benchmark on your target devices during QA.

Custom logistics app vs. off-the-shelf TMS: which is the right choice?

Off-the-shelf TMS platforms (Samsara, Route4Me, Onfleet) cover standard delivery workflows well and are operational within days. They make sense if your dispatch logic matches their defaults and per-vehicle costs are manageable at your fleet size. Custom development is the better choice when: your pricing model or dispatch logic does not fit standard templates; you need deep integration with a proprietary WMS or ERP; or per-vehicle SaaS fees at scale exceed $30,000–$50,000 per year. Custom also eliminates vendor lock-in — you own the codebase and can modify it without waiting for a vendor’s roadmap.

How do you integrate a logistics app with an existing WMS or TMS?

We connect logistics apps to WMS platforms (SAP EWM, Manhattan, 1C:WMS, custom warehouse systems) and TMS platforms via REST or SOAP APIs, or direct database integration when APIs are unavailable. A REST API with documented endpoints takes 2–4 weeks; a legacy ERP without documentation takes 6–10 weeks including data mapping and parallel testing. We build every integration in a staging environment first and run side-by-side verification of legacy vs. new data flows before switching over to production — this eliminates order data discrepancies during the transition period.