Delivery App Development

The three parts of a delivery system

The customer app

Browsing and ordering, address and delivery-slot selection, payment, and live tracking with a realistic time estimate. Tracking is the feature customers value most, because it replaces the anxiety of not knowing with the ability to plan.

The rider app

Job offers and acceptance, pickup and drop-off details, navigation handoff, proof of delivery (photo, signature or code), cash collection where relevant, and shift or availability status. It's the least glamorous of the three and the one that most determines whether the operation runs smoothly.

The dispatch dashboard

The live operational view: incoming orders, rider positions and availability, assignment, and the exception handling that fills most of a dispatcher's day — late orders, unreachable customers, failed deliveries, riders going offline mid-job.

Dispatch: automatic, manual, or both

How jobs reach riders is the core design decision. Manual dispatch gives a human full control and works well at low volume or where local knowledge matters, but it doesn't scale — beyond a certain order rate the dispatcher becomes the bottleneck. Automatic assignment allocates orders by proximity, current load, vehicle type and estimated timing, and scales cleanly, but it produces poor decisions in edge cases a human would catch instantly.

In practice almost every operation that works well runs a hybrid: automatic assignment handles the majority, while dispatchers retain override and manage exceptions. The genuinely valuable refinement is batching — combining several orders heading in the same direction into one trip. Batching is where delivery economics are usually won or lost, because rider cost per delivery falls sharply when a trip carries three orders instead of one. It also has to be constrained: batch too aggressively and the last customer in the sequence receives cold food and a bad experience.

These trade-offs are business decisions expressed in software, which is why we work them through with you rather than shipping a default.

Live tracking, honestly

Customers expect a moving marker and an accurate estimate. Delivering that well requires accepting some physical realities.

Continuous high-accuracy GPS drains a phone battery quickly, and a rider whose phone dies mid-shift is a bigger problem than slightly less granular tracking. Practical implementations sample location at sensible intervals, increase frequency near pickup and drop-off where precision matters, and reduce it in between. Signal is imperfect — underground car parks, dense buildings and lifts produce gaps — so the app should queue location updates and transmit when connectivity returns rather than losing them.

Time estimates deserve particular care. An estimate that is confidently wrong is worse than a wider, honest range, because customers plan around it and feel misled when it slips. Estimates that account for traffic, preparation time and the rider's current queue, and that update as things change, produce far fewer support calls than an optimistic fixed number.

Designing for the rider

Rider app design is usually treated as an afterthought and it shouldn't be. Riders use the app dozens of times a day, outdoors, often one-handed, sometimes in gloves, in bright sun or rain, on cheaper devices with patchy connectivity and limited data.

That environment dictates the design: large tap targets, high contrast, minimal typing, and the current action always obvious without navigating. Critically, the app must tolerate losing connection — actions taken offline should queue and sync rather than failing, because a rider standing in a basement car park still needs to mark a delivery complete.

This matters commercially as well as ethically. Riders are frequently choosing between platforms, and an app that wastes their time or loses their completions costs you the riders you depend on. Operations with high rider churn almost always have a rider app problem somewhere in the story.

Who it's for

• Restaurants and food businesses running their own delivery rather than paying aggregator commission
• Grocery, pharmacy and convenience with scheduled or on-demand delivery
• Retailers offering same-day local delivery
• Courier and logistics operators needing dispatch and proof of delivery

Why choose Baxance

• All three parts built as one system — customer, rider and dispatch
• Hybrid dispatch with batching, tuned to your economics
• Tracking designed around battery, signal and honest estimates
• Rider app built for real conditions, including offline
• Connects to your store and marketplace
• You own the platform and the data

Delivery economics, and why businesses build their own

The usual reason a business builds its own delivery system is aggregator commission. Third-party platforms bring volume but take a substantial share of every order, and for a business with its own demand — an established restaurant, a pharmacy chain, a grocer with regular customers — that share is often larger than the entire cost of running deliveries directly.

The honest counterpoint is that aggregators are not only taking a fee; they're providing demand, riders and the technology. Replacing them means you now need all three. If most of your orders arrive because customers found you on an aggregator, leaving is a demand problem before it's a logistics problem. If most of your orders come from customers who already know you and would order direct if it were easy, the maths favours building.

The operational numbers that decide it are straightforward: cost per delivery (rider time, vehicle, platform), deliveries completed per rider-hour, and how much batching lifts that figure. Businesses in dense areas with clustered orders reach viable economics far sooner than those covering a wide area with sparse demand. We'd rather work through those numbers with you before building than deliver a system into an operation that can't sustain it — and in some cases the right answer is a hybrid, keeping aggregators for discovery while serving repeat customers through your own channel at full margin.

Getting started

We start with your operation — order volume, delivery area, fleet model (employed, contracted or third-party), whether deliveries are on-demand or scheduled, and how you want cash and proof of delivery handled. Those answers shape dispatch and tracking more than any feature list.

We then scope a first phase that gets real deliveries flowing, and expand into batching, analytics and optimisation as volume grows. Explore the full e-commerce solutions or book a free consultation.

Frequently asked questions

What does a delivery system include?

Three connected products: a customer app for ordering and tracking, a rider app for accepting and completing jobs, and a dispatch dashboard for assignment and exception handling.

Should dispatch be automatic or manual?

Usually both. Automatic assignment scales and handles the majority; dispatchers keep override and manage exceptions. Batching nearby orders into one trip is typically where delivery economics improve most.

How does live tracking affect rider battery?

Continuous high-accuracy GPS drains batteries fast, so we sample at sensible intervals and increase precision near pickup and drop-off, queueing updates when signal drops rather than losing them.

Does the rider app work without signal?

Yes. Actions taken offline — including marking a delivery complete — queue locally and sync when connectivity returns, which matters in basements and lifts.

Can it connect to our existing store or marketplace?

Yes. The delivery system integrates with your store or marketplace so orders flow straight into dispatch rather than being entered again.