Product

Fleet & Mobility Solutions

Trip, driver and fleet operations with dispatch assistance and proactive passenger updates.

What this is

We built and sold a ride-hailing platform, so this is grounded in operational reality: dispatch under load, driver applications that work on poor connectivity, and passenger communication that prevents the support call rather than handling it.

The problem

What this solves

If more than one of these is familiar, there is usually a case worth scoping.

  • Dispatch is manual and quality depends on who is on shift.
  • Driver applications fail where connectivity is poor, which is where they are used.
  • Passengers call support for status updates that could be pushed.
  • Trip, driver and vehicle data sit in separate places.
How it works

The shape of the build

Indicative. The final design follows your systems, data and constraints.

  1. Unify operations

    Trips, drivers, vehicles and customers in one system of record.

  2. Assist dispatch

    Agent-assisted allocation with human override, and exception surfacing.

  3. Work offline

    Driver applications that tolerate poor connectivity and sync when it returns.

  4. Update proactively

    Status, delay and arrival notifications sent before the customer asks.

  5. Report

    Utilisation, trip and driver reporting on governed data.

Scope

What is included

Deliverables you receive, in your own infrastructure and repositories.

  • Customer and driver mobile applications
  • Trip, dispatch and fleet administration
  • Role-aware permissions across operational roles
  • Agent assistance in dispatch and driver support
  • Proactive passenger notifications
  • Operational reporting and dashboards
Outcomes

What changes once it is live

Operational changes you should expect. We measure the specific numbers for your business rather than quoting generic figures.

  • Dispatch decisions consistent across shifts
  • Driver applications usable in real network conditions
  • Fewer status calls through proactive updates
  • One operational picture instead of several partial ones
Delivery

How we run the engagement

Our approach

Discovery

Process walkthroughs, data review, constraints and a written scope you sign off before build.

Architecture

Data model, integration boundaries, hosting and the security model, agreed up front.

Proof of concept

A narrow build on your real data against an agreed quality bar, so the go-ahead is evidence-based.

Development

Two-week increments, each ending in a working deployment and a review.

Testing

Automated coverage on critical paths, evaluation sets for AI behaviour, acceptance testing with your users.

Deployment

Staged rollout into your infrastructure with monitoring and a tested rollback path.

Monitoring & support

Quality, cost and latency tracking after launch, with handover documentation or an ongoing retainer.

Questions

Fleet & Mobility Solutions — FAQs

Can we start from RideOn?

Where your operating model is close, yes, and it is considerably faster than a bespoke build. We assess fit before recommending it.

Does it work with poor connectivity?

Driver applications are built for it: local state, queued actions and sync on reconnection.

Can dispatch stay manual?

Yes. Agent assistance proposes and surfaces exceptions; your dispatchers keep control and override freely.

Next step

Have an AI or software
challenge to solve?

Let's evaluate your requirements and design a practical, secure and scalable solution for your business. We will tell you honestly whether AI is the right tool, and outline what a first build looks like.

Talk to our team Hire a developer
  • No obligation, no scripted pitch
  • Talk to engineers, not account managers
  • One-week minimum engagement available