We build the customer app, the provider app, and the admin console as one connected on-demand platform — real-time GPS dispatch, dynamic pricing, and escrow payments engineered around your specific service model, not a repackaged template.
Sub-second provider matching, live GPS tracking, and instant escrow payment.
Real-time job dispatch queues, turn-by-turn navigation, and automated earnings.
Dynamic surge pricing algorithms, payout reconciliation, and dispute workflows.
Real Clients We've Engineered On-Demand & Marketplace Platforms For
On-demand app development is the practice of building a service marketplace around three distinct users at once: the customer requesting a service, the provider fulfilling it, and the operator running the business behind both. Get any one of those three wrong — a provider app nobody wants to use, an admin console bolted on after launch — and the whole marketplace stalls.
Customer, provider, and admin — one backend, one data model
Geospatial matching that assigns the nearest available provider
Funds held at booking, released on verified job completion
We architect all three apps together from day one: shared data model, real-time geolocation dispatch, dynamic pricing, and payment escrow built in rather than retrofitted — whether the service being booked is a ride, a delivery, a home repair, or a spa appointment.
Pricing, dispatch, and trust used to be manual judgment calls. On a modern on-demand platform, they're model-driven decisions made in milliseconds — here's where we build that layer in.
Models that price a booking in real time against live supply, demand, weather, and event data — not a static rate card.
Machine learning developmentAutomated matching and multi-stop route batching that assigns the right provider and the shortest path, continuously.
Dispatch automation (RPA)Predictive models that flag where and when demand will spike, so you can position supply ahead of it instead of reacting to it.
Machine learning developmentAnomaly detection across bookings, payments, and provider behavior that flags fraud rings and fake job completions before payout.
AI development servicesRecommending the right provider or service category per customer, based on real usage and rating history rather than a generic list.
Data analytics servicesNot sure which of these your platform needs first? Our AI consulting team can scope it against your actual supply-demand data.
Building the provider or admin side as an afterthought is the single most common reason on-demand platforms stall after launch. We design all three together, on a shared data model, from the first architecture sprint.
Discover, book, track, pay — in a few taps
The matching, dispatch, and payment engine underneath an on-demand platform barely changes across verticals — what changes is the booking flow on top of it.
Every vertical ends the same way — a completed job and a review. Two-way ratings feed directly into the matching algorithm for the next booking.
Point-to-point and multi-stop parcel delivery with proof-of-delivery and route batching.
Logistics software developmentRider and driver apps built around real-time matching and surge-aware pricing.
Taxi app developmentOn-demand booking for cleaning, plumbing, HVAC, electrical, and handyman work.
Appointment booking for mobile stylists, spa therapists, and barbers on demand.
Pickup, processing, and delivery scheduling for laundry and garment-care operators.
Tutor-student matching with real-time video classrooms and hourly billing.
Virtual consult platforms with e-prescriptions, triage, and clinical records.
A booking is only as good as the dispatch decision behind it. This is the layer that turns "request a service" into "provider confirmed and en route" in real time, integrated with Google Maps, Mapbox, or your telemetry provider of choice via our custom API development team.
Scores every nearby available provider on proximity, rating, and skill fit, then assigns the job in under a second.
Customer and admin apps render the same live location feed — no polling delay, no stale pin.
ETAs recalculate against live traffic, and jobs reassign automatically if a provider goes offline mid-route.
Customer funds are authorized at booking and held in escrow until the job is verified complete, then split automatically between your platform commission and the provider payout — the same payment-splitting discipline our fintech engineering team applies to regulated payment rails.
Document verification, background-check integration, and an admin approval queue mean only vetted providers ever reach a live customer request — with a live operations map your team can actually act on.
A logistics marketplace connecting shippers and businesses with reliable, secure cargo carriers — real-time booking, tracking, and carrier discovery.
A community-commerce app connecting local businesses and independent workers — domestic workers, gardeners, tradespeople — directly with nearby customers, with rewards for supporting local.
A wellness discovery app surfacing yoga, breathwork, fitness, and mindfulness activities across Mexico's top wellness destinations, with in-app booking.
“Movesy has completely transformed the moving and delivery industry thanks to Apptechies. The GPS tracking, dynamic pricing, and route optimisation they built has made our operations incredibly efficient.”
We run every on-demand build through the same structured process as the rest of our work — described in full on our How We Work page.
Mapping your service model, supply-side economics, and target cities before scoping a single feature.
Shared data model for all three apps decided upfront — dispatch, pricing, and payments included.
Booking flows designed to be one-handed and one-tap, for a customer standing on a street corner.
Working software every sprint across customer, provider, and admin apps in parallel.
Load-tested against real peak-demand patterns, not just steady-state traffic.
Phased city-by-city rollout planned around your actual provider supply, not a single big-bang launch.
Monitoring, iteration, and new-vertical support that continues well past launch day.
Rider and driver apps built around real-time matching.
Fleet, dispatch, and last-mile delivery coordination.
Native and cross-platform apps for every side of the marketplace.
Maps, payments, and telemetry integrations done right.
Elastic infrastructure for launch-day and peak-demand traffic.
Fraud detection, matching, and forecasting models.
Dedicated engineers for your customer and provider apps.
Cross-platform mobile talent, flexibly engaged.
Dedicated engineers for pricing and dispatch models.
Scope the right platform before writing a line of code.
Answers to the questions marketplace founders and operators ask us most — and a direct line to our team if you don't see yours.
A focused single-service on-demand app (customer + provider app) typically runs $45,000–$95,000. A full three-sided marketplace with a dedicated admin console, dynamic pricing engine, and payment escrow can run $150,000–$320,000+ depending on scope.
A focused MVP with a customer app and provider app usually takes 12–16 weeks. A full three-sided marketplace with real-time dispatch, dynamic pricing, and multi-city support typically takes 6–9 months.
It means three connected apps — one for customers, one for service providers, and an admin console for your operations team — sharing a single backend and data model. Most genuine on-demand businesses need this from day one rather than bolting the provider or admin side on later.
We combine live geolocation streaming, a geospatial matching engine that scores nearby available providers, and a dispatch service that assigns and reassigns jobs in real time — with push-based location updates rendered on both the customer and admin maps.
Customer funds are authorized or held at booking, released to the provider on verified job completion, and your platform commission is deducted automatically — typically built on Stripe Connect or a similar payment-splitting rail.
We build a structured onboarding workflow — document and ID verification, background-check integration, skill or license checks, and an admin approval queue — so only vetted providers ever reach a live customer request.
Tell us about your service model — we'll respond within 24 hours with real next steps, not a sales script.
