Your analytics preferences

With your permission, we use optional analytics to understand website visits and improve our services. You can change your choice in the footer at any time.

On-Demand

On-Demand software development

Booking, dispatch and marketplace platforms with real-time matching, payments and tracking that hold up when demand spikes.

01On-Demand

On-demand apps built for the busiest hour of the week

An on-demand platform coordinates promises between customers, providers and an operations team. A booking becomes an offer, an accepted job becomes a commitment, and a payment may depend on what was actually completed. The customer and provider need different interfaces, but both must see a consistent account of the job. We define that lifecycle before adding real-time location or matching algorithms.

The operating model changes the software. Scheduled services, immediate dispatch and a marketplace where providers choose jobs need different availability and assignment rules. A multi-city service may have different zones, prices or provider requirements. We agree which decisions are automated, which need an operator and what happens when a provider cancels or cannot be reached. That makes the initial scope a usable service operation rather than two apps around a map.

02Challenges

What makes On-Demand software hard

  • 01

    Real-time at scale

    Location updates, matching and notifications for thousands of users at once.

  • 02

    Two-sided growth

    Customers and providers need different apps that stay in sync.

  • 03

    Payment complexity

    Split payments, tips, refunds and payouts across regions.

  • 04

    Operational blind spots

    Dispatch teams can't see bottlenecks until customers complain.

03What we build

On-Demand solutions we deliver

  • 01

    Customer apps

    Booking, tracking, payments and ratings in a few taps.

  • 02

    Provider apps

    Job offers, navigation, earnings and schedules.

  • 03

    Dispatch and matching

    Rules and algorithms that assign jobs by location, skill and load.

  • 04

    Operations dashboards

    Live maps, queues and alerts for your operations team.

  • 05

    Payments and payouts

    Wallets, split payments and automated provider payouts.

  • 06

    Demand forecasting

    Models that predict busy periods so you can plan capacity ahead.

04Considerations

Built in from the first sprint

The requirements we plan for on every project in this sector.

  • Real-time location and mapping
  • PCI-compliant payment flows
  • Provider vetting and onboarding
  • Multi-city configuration

05Delivery decisions

Integrations in practice

  • 01

    Booking, matching and dispatch

    We map the states of a job and the rules for offering, accepting, reassigning and cancelling it. Simultaneous actions must not create two providers for a job or leave a customer with an invisible cancellation. The operations view needs the same status model as the apps, with a way to intervene when an automatic rule cannot resolve the case.

  • 02

    Location, notifications and connectivity

    Location data has a timestamp and a permission state. We plan how the experience behaves when a device stops reporting, a notification is not delivered or an app returns from the background. A live map should distinguish a recent position from an old one. Queued actions and reconnection rules keep temporary network loss from becoming a silent inconsistency between customer and provider.

  • 03

    Payments, payouts and provider records

    Payment collection, refunds, tips and provider payouts need explicit relationships to job completion. We connect the supported provider flows and define who can approve an exception. Provider onboarding and access changes are scoped with the required vetting process. A failed payout or a disputed job needs an operational route with records the support team can investigate.

06Delivery decisions

How we verify the work

Tests follow a job through customer booking, provider acceptance, service delivery and financial settlement. We include concurrent acceptance, cancellation at different stages, a lost connection and a provider who never arrives. Load tests reflect the busy period and geographic model you expect, with queues for work that can wait. Real-time updates are checked for correctness as well as responsiveness.

Release planning includes provider access, support procedures, city configuration and ownership of exceptions. We agree what operators may change and which actions require additional approval. Handover includes the matching rules, event model, deployment process and recovery instructions. The result is something the operations team can run and examine, with a clear path for evolving the service after the first market launch.

09FAQ

Frequently asked questions

View pricing guide
Can you build both customer and provider apps?

Yes, plus the admin and dispatch tools that connect them.

How do you handle peak load?

Load testing against realistic peaks, autoscaling infrastructure and queues for work that can wait.

How do you avoid conflicting job assignments?

We define assignment states, identifiers and concurrency rules before implementing matching. Tests include simultaneous acceptance, retries and reassignment after a timeout. The dispatch team needs a visible, authorized way to resolve exceptions, using the same job state that the customer and provider apps display.

Can the platform support multiple cities?

Yes, with the differences explicitly scoped: zones, service availability, pricing rules, provider requirements and operational responsibilities. We separate configuration from shared product behaviour where appropriate. The first release identifies which markets are supported and how a new city's setup is checked before it opens.

Can you improve an existing booking or marketplace app?

Yes. We review the job lifecycle, code, integrations and live operating problems before choosing a first change. Repairing a dispatch or payment boundary may be more useful than replacing both apps. The plan includes compatibility, data reconciliation and a rollback path for changes to active workflows.

What drives the cost of an on-demand platform?

Customer and provider journeys, dispatch rules, payment flows, location handling, operational tools and migration determine the scope. An appointment service and an immediate-dispatch marketplace are different builds. We define the first complete service workflow and provide a written price, with relevant product ranges in the pricing guide.

On-Demand

Building something in On-Demand?

Tell us what you're planning. We'll share what we've learned from similar projects and suggest a sensible first step.