How to Build a Logistics App

Assume the driver is offline

Warehouses, basements, rural routes, and lifts all break connectivity. A driver app that requires a live connection to record a delivery will lose data and drivers will stop using it.

Build offline-first:

Actions queue locally and sync when a connection returns
Every action carries a client-generated ID so replays don't duplicate
Conflict rules are decided in advance — usually last-write-wins on driver-owned state
The interface shows sync status honestly rather than pretending everything saved

This is more work than an online-only app and it's not optional in this category.

Tracking: pick a cadence deliberately

Continuous GPS streaming destroys phone batteries and produces far more data than anyone uses.

What works: sample location every 15-30 seconds while a job is active, batch and upload every minute or two, and increase frequency near a delivery point where accuracy matters for the customer-facing map.

Customers want an ETA, not a raw position — so invest in ETA quality (traffic-aware, updated on real progress) rather than in update frequency.

Route optimisation is usually premature

True vehicle routing with time windows and capacity constraints is a hard optimisation problem. At MVP scale, a good-enough ordering plus a mapping provider's directions API serves most operations, and dispatchers often override suggestions anyway using knowledge the system doesn't have.

Build optimisation when you have enough volume that manual sequencing is a real bottleneck, and when you have the constraint data — time windows, vehicle capacities, driver hours — to feed it. Without that data, an optimiser produces confident nonsense.

Proof of delivery is the commercial artifact

Signature, photo, barcode scan, or a code — whichever your customers' disputes require. This is the record that settles "it never arrived", so it needs a timestamp, a location, and durable storage.

Photos are large and drivers are often offline, so upload strategy matters: compress on device, queue, and upload opportunistically.

Scope for a logistics MVP

Job creation and assignment
Driver app with offline queue
Status transitions that mirror how the operation actually runs
Location tracking at a sane cadence
Customer-facing tracking with an ETA
Proof of delivery capture

Timeline

Two to three weeks for a scoped MVP covering dispatch, an offline-capable driver flow, tracking, and proof of delivery.

Specific builds

Deeper breakdowns of products in this category:

FAQ

How should a delivery app handle poor connectivity?

Offline-first. Actions queue locally and sync when connectivity returns, each carrying a client-generated ID so replays don't create duplicates, with conflict rules decided in advance and sync status shown honestly. Drivers work in warehouses, basements, and rural areas where an online-only app simply loses data.

Do I need route optimisation in an MVP?

Usually not. True vehicle routing with time windows and capacity constraints is a hard optimisation problem, and at MVP volumes a sensible ordering plus a directions API serves most operations. It also needs constraint data you probably don't have yet — without it, an optimiser produces confident nonsense.

How often should the app report driver location?

Every 15-30 seconds while a job is active, batched and uploaded every minute or two, with higher frequency near the delivery point. Continuous streaming drains batteries and produces data nobody uses — customers want an accurate ETA rather than a high-frequency position.