Build the Last Mile Delivery App Your Market Is Waiting For

A focused MVP covering customer app, driver app, real-time tracking, basic route optimisation, and proof of delivery typically takes 14–18 weeks. A full-featured delivery platform with advanced route optimisation, multi-zone management, fleet management, analytics, and comprehensive integrations runs 24–28 weeks. App Store and Google Play submission adds one to two weeks to the final timeline — we manage this process as part of the project.

Off-the-shelf delivery platforms like Onfleet, Tookan, or Bringg work well for standard delivery operations at early scale — they are fast to implement and cover generic delivery workflows adequately. Custom development makes more sense when your delivery model has unique requirements no available platform covers, when your per-delivery or per-driver licensing cost on a commercial platform approaches the cost of a one-time custom build over 24–36 months, when you need deep integration with your existing order management or ERP system, or when your delivery experience is a competitive differentiator that needs to be protected in a platform your competitors cannot replicate with a SaaS subscription.

Yes — and building them together as a single connected system is specifically how we approach every delivery app project. Customer app, driver app, and operations dashboard are built on a shared real-time data layer so the customer's live tracking view, the driver's job status, and the dispatcher's fleet map are always in perfect synchronisation. Building them as separate projects and connecting them through an API creates real-time sync problems and data state inconsistencies that are expensive to resolve post-launch.

We build cross-platform delivery apps using React Native — a single codebase deployed to both iOS and Android simultaneously. This means your customer app and driver app are available on both platforms from day one without maintaining two separate codebases. React Native gives native device performance, access to camera, GPS, barcode scanner, and push notification capabilities, and offline functionality — everything a production delivery app requires on both platforms. See our mobile app development and React Native expertise.

Real-time GPS tracking in a production delivery app requires more than a basic location API. We build tracking infrastructure with WebSocket connections that stream driver location updates to the customer app and operations dashboard every 10–30 seconds, geofence triggers that fire automated events when drivers enter or leave defined zones, dynamic ETA recalculation based on actual route progress and real-time traffic, and fallback positioning logic for environments where GPS signal is weak or intermittent. The tracking infrastructure is load tested against your peak concurrent delivery volume before go-live.

Every driver app we build uses offline-first architecture — jobs are stored locally on the driver's device, navigation continues without connectivity, proof of delivery is captured offline, and all data reconciles automatically when the connection is restored. Drivers operating in tunnels, basement car parks, rural routes, or areas with poor mobile coverage complete their deliveries without interruption and without losing any job data. Offline capability is a non-negotiable architectural decision, not an optional feature.

Yes — order management system and ERP integration is a standard component of most delivery app builds. We design every integration in Phase 02 before development begins, covering automated order ingestion from your OMS, real-time inventory and stock status updates, delivery-triggered invoice generation in your accounting system, and customer data synchronisation. We integrate with Shopify, Magento, WooCommerce, SAP, Oracle, Microsoft Dynamics, NetSuite, Xero, MYOB, and custom-built order management systems. For full supply chain integration see supply chain software development.

Route optimisation in a custom delivery app calculates the most efficient multi-stop delivery sequence for each driver at the start of each shift — factoring in delivery time windows, vehicle capacity, driver availability, real-time traffic conditions, customer access constraints, and priority delivery rules. Routes update dynamically throughout the shift when new orders are added, deliveries are failed, or traffic conditions change. We build the optimisation engine around your specific delivery rules and vehicle constraints — and integrate with TMS and fleet management where needed — not a generic algorithm that assumes every delivery operation works the same way.

Yes — multi-zone management with zone-specific pricing is a standard capability we build into delivery platforms. This covers polygon-based zone mapping, different delivery fees per zone, surge pricing logic during peak demand periods, delivery time slot availability by zone, cut-off time enforcement per zone, and postcode-level coverage control. Zone configuration is managed from the operations dashboard without requiring a code change — your operations team can add zones, adjust pricing, and modify time slot availability in real time.

Digital proof of delivery in the driver app captures photo evidence at the delivery point, electronic signature from the recipient, GPS-stamped delivery confirmation with timestamp, recipient name entry, barcode or QR code scanning for item verification, and safe drop photo with location confirmation when the recipient is not present. For regulated deliveries — age-restricted products, pharmaceuticals, high-value goods — compliance verification steps are built directly into the delivery workflow so drivers cannot mark a delivery complete without satisfying the required checks. Pharmaceutical and healthcare delivery compliance aligns with our healthcare delivery experience. All POD data is stored and accessible from the operations dashboard and customer portal immediately after delivery completion.

Yes — gig model driver management is a distinct capability we build for delivery platforms operating with contractor rather than employed drivers. This covers driver self-onboarding with document upload and verification, background check integration, driver availability and shift preference management, earnings calculation and payout management, driver rating and performance scoring, and the specific data handling and contractor classification requirements that gig economy employment frameworks in Australia, the UAE, and the UK impose on platform operators. The driver app experience for gig drivers also differs from employed driver apps — availability toggling, job acceptance and rejection workflows, and earnings visibility are all built into the gig driver interface.

Customer notifications fire automatically at every stage of the delivery journey — order confirmed, driver assigned, driver en route, driver arriving in the next 10 minutes, delivered, and failed delivery with rescheduling options. Notifications are delivered across push, SMS, and email based on the customer's channel preference, with fallback routing — if push delivery fails, SMS fires automatically. The notification pipeline is built for sub-two-second delivery with deduplication logic preventing duplicate sends and delivery confirmation tracking so you know which customers received which notifications and when. All notification templates are branded to your identity — your business name, your colours, your tone.

Yes — App Store and Google Play submission is managed as a dedicated phase in our delivery process. We handle the complete submission workflow — app store listing creation and optimisation, screenshot and preview asset production, privacy policy and data handling documentation, age rating classification, compliance review preparation, and review response management if Apple or Google requests changes before approval. Apple's review process typically takes one to seven days. Google Play typically takes one to three days. We build this timeline into the project schedule so App Store approvals never delay your go-live date.

Post-launch support covers a structured four-week hypercare period with named engineering support, agreed SLA response times for critical and high-priority production issues, continuous performance monitoring, and weekly review calls covering system health and user feedback. After hypercare we transition to an ongoing development retainer — bug fixes, performance optimisation, new feature development, and platform scaling as your delivery volume grows. The same engineering team who built your platform stays involved — you are not handed to a generic support desk that needs to learn your codebase from documentation. The same approach we use for supply chain and logistics platform support.