Mobile

Mobile Application Development

A mobile app for a field technician and a mobile app for a retail customer solve different problems - one is about working reliably with no signal, the other is about a smooth checkout. Both get built badly by assuming a desktop-web mental model just needs a smaller screen.

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The Problem

Field teams and mobile-first customers need software that works reliably outside a reliable office network, with device and connectivity conditions a desktop-only system was never designed to handle.

Our Approach

We design for the offline and low-connectivity case explicitly - local-first data capture, a defined sync and conflict-resolution rule, and a UI that tells the user what's saved locally versus confirmed by the server.

Client architecture: native vs. progressive web app

A native app gets full device API access (camera, background location, push notifications) at the cost of app-store review and per-platform maintenance. A progressive web app installs like an app and can work offline via local storage, without a store review cycle - the right choice depends on which device APIs the workflow actually needs.

Offline-first data capture and sync

Data the user enters is written to local storage first, then queued for submission when connectivity is available - not held in memory and lost if the app closes mid-task. Sync reconciles the local queue against the server record, and conflicting edits need an explicit resolution rule rather than a silent overwrite.

Device and platform considerations

Push notification delivery, camera and location permission prompts, and background execution limits all behave differently by platform and OS version - these are tested against real devices, not just a simulator, because permission and battery-optimization behavior varies in ways a simulator doesn't reproduce.

Architecture and Approach

The client holds a local data store for anything captured offline, a sync queue that retries submission when connectivity returns, and an authenticated API boundary on the backend that scopes each device/user to only the records it needs - not a full mirror of the backend dataset.

What We Build

Use Cases

A field technician app for dispatch, offline data capture, and time tracking, synced when connectivity returns.
A customer-facing app for bookings, account access, or loyalty tracking with push notifications.

Common Engineering Challenges

Conflicting offline edits
Two people editing the same record while both offline is a real scenario, not an edge case, for any team-facing mobile app. The resolution rule (which edit wins, and how the loser is preserved for review) has to be explicit and documented.
Native app maintenance overhead
A native app adds app-store review cycles and per-platform-version maintenance. When deep offline behavior or specific hardware access isn't required, a progressive web app is often the lower-maintenance long-term choice.

FAQ

Does the app need constant internet access to work?
No - data capture is designed local-first, with sync queued for when connectivity returns. This is standard for field-facing apps, not an add-on feature.
What happens if two people edit the same record while offline?
There's an explicit conflict-resolution rule rather than a silent overwrite - typically the confirmed server state wins, with the losing local edit preserved for manual review rather than discarded.
Should we build a native app or a progressive web app?
It depends on which device features the workflow actually needs (camera, background location, push) versus how much per-platform maintenance you want to take on - we'll recommend based on the actual requirement, not by default.

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