Driver App and Rider App Development
A ride-hailing platform is a multi-role system. The rider app and the driver app are not two views of the same screen — they have different lifecycles, different failure conditions, and different tolerance for latency.
We build both sides against a shared backend contract, so trip state stays consistent whether it is being read by a rider watching a car approach or a driver whose connection just dropped in a parking structure.
Across both applications
Booking & scheduling
On-demand requests, scheduled and reservation rides, and airport transfers with their own timing and pickup rules.
Ride and trip types
Multiple vehicle classes and service tiers, each with its own fare rules, eligibility, and driver pool.
Driver availability
Online and offline status, shift handling, and availability transitions that stay correct when the app is backgrounded or the network drops.
Trip offers & acceptance
Offer presentation with a visible window, single-tap acceptance, and correct behaviour when an offer expires mid-interaction.
Ratings & reviews
Two-sided rating capture after trip completion, feeding the driver quality signals that dispatch ranking can use.
Notifications
Push and in-app messaging for offers, driver arrival, trip milestones, and cancellations, with delivery that degrades gracefully.
Designing for intermittent connectivity
Driver apps run for hours on mobile networks that are not reliable. A driver app that assumes a live connection will misreport availability, drop offers, and produce trips that the backend and the device disagree about.
We treat the device as an unreliable participant: state changes are idempotent, acceptance is confirmed rather than assumed, and the app reconciles with server state on reconnect instead of trusting whatever it held locally.
One trip, two perspectives
The same trip appears differently on each side. The rider needs progress and an arrival estimate. The driver needs navigation, the next action, and earnings context. Both are projections of one authoritative trip state held on the server.
Keeping the state machine on the backend, and treating both apps as consumers of it, is what prevents the class of bug where a trip is complete for one party and in progress for the other.
Frequently asked questions
Do you build both the rider and driver applications?
Yes, and we prefer to build them against one shared backend contract. The two apps have different lifecycles and failure conditions, but they are projections of a single authoritative trip state held on the server.
How do the apps behave when the network drops?
The device is treated as an unreliable participant. State changes are idempotent, offer acceptance is confirmed rather than assumed, and the app reconciles against server state on reconnect instead of trusting what it held locally.
Can you support scheduled rides and airport transfers?
Yes. Scheduled and reservation rides have their own timing, pickup, and dispatch rules — a scheduled trip has to enter the matching flow ahead of the pickup window rather than at request time. Airport transfers usually add pickup-zone and flight-timing considerations on top.
Do you support multiple vehicle classes and ride types?
Yes. Ride types are modelled with their own fare rules, eligibility, and driver pools, so adding a class does not mean forking the booking flow.
Tell us what you are building.
Every engagement starts with a technical conversation, not a quote. Tell us where the system is today and we will tell you honestly what we think it needs.