White-LabelMobility, Errands & Rides

A complete SaaS, ride-hailing and errands platform you can launch under your own brand. Built for operators, franchises and enterprise fleets in weeks, not quarters.

Explore Platform
  • Ride Booking
  • Errand Services
  • Car Booking

One Platform, Every Journey

Rider, driver and operator apps ship together — fully themed, store-ready and connected to a single dispatch core.

Rider App
Rider App
Live Dispatch
Live Dispatch
Driver App
Driver App

Popular Services

Three revenue lines out of the box, each with its own pricing engine, dispatch rules and driver pool.

Ride Booking

Ride Booking

On-demand and scheduled point-to-point rides with live tracking and dynamic fare estimation.

  • Real-time driver matching
  • Upfront fare estimates
  • Scheduled and recurring trips
  • Multi-stop routing
Starting from$2.50 / km
Errand Services

Errand Services

Task-based delivery and concierge jobs — groceries, pharmacy runs, parcels and queue-standing.

  • Task templates and checklists
  • In-app proof of completion
  • Wallet-held escrow payments
  • Tip and rating flow
Starting from$4.00 / task
City Booking

City Booking

Hourly and full-day chauffeur hire for corporate accounts, airport transfers and intercity travel.

  • Hourly and daily packages
  • Corporate billing accounts
  • Airport pickup queueing
  • Intercity route pricing
Starting from$18.00 / hr
1500+Active Drivers
24/7Live Support
100+Cities Served

Project Overview

Operators were stitching together three vendors to run one business. We replaced that stack with a single white-label platform.

The Challenge

Problem Statement

  • Ride, errand and rental products lived in three disconnected systems.
  • Launching in a new city took 6–9 months of custom integration work.
  • Drivers juggled multiple apps, so utilisation stayed below 40%.
  • No shared wallet meant reconciliation was manual and error-prone.
What We Built

Solution

  • One dispatch core serving all three service lines from a shared driver pool.
  • Theme-driven white-labelling — brand, launch and deploy in under four weeks.
  • Unified wallet with automated settlement, payouts and tax reporting.
  • AI pricing and allocation engine tuned per city and per service type.
150K+Monthly Rides
95%Trip Completion
2Weeks to Launch
4.9/5Average Rating

Platform Features

Everything an operator needs to run supply, demand and money — configurable per market.

Dispatch

Smart Allocation

Rules-based and ML-assisted driver matching that weighs distance, rating, acceptance rate and vehicle class.

Tracking

Live Trip Tracking

Sub-second location streaming with ETA recalculation and shareable trip links for riders.

Payments

Unified Wallet

Card, cash, wallet and corporate billing in one ledger, with automated driver payouts.

Pricing

Dynamic Fare Engine

Surge, time-of-day, zone and promo pricing configured per city without a code change.

Operations

Operator Console

Live map, manual dispatch override, driver onboarding and document verification in one console.

Errands

Task Workflows

Composable errand templates with itemised checklists, receipts and photographic proof.

Growth

Promotions & Referrals

Coupon engine, referral loops and loyalty tiers with per-campaign attribution reporting.

Insight

Analytics Suite

Cohort retention, supply heatmaps, unit economics and driver performance dashboards.

Integration

Open API & SDKs

REST and webhook APIs plus iOS, Android and web SDKs for embedding into existing products.

Safety & Compliance

Trust features and regulatory tooling built into the core, not bolted on per market.

Verification

KYC & Background Checks

Automated identity, licence and criminal-record verification during driver onboarding.

Emergency

In-App SOS

One-tap emergency alert that shares live location with contacts and the operator control room.

Privacy

Number Masking

Proxy calling and messaging so rider and driver phone numbers are never exposed.

Monitoring

Ride Guardian

Route-deviation, long-stop and harsh-driving detection with automatic operator escalation.

Insurance

Trip Cover

Per-trip insurance binding with claim initiation directly from the trip record.

Data

GDPR Ready

Consent capture, regional data residency, retention policies and one-click data export.

Audit

Immutable Trip Log

Tamper-evident record of every dispatch decision, fare change and support intervention.

Access

Role-Based Control

Granular permissions across operators, city managers, support agents and finance teams.

100%Drivers Verified
95%SOS Response < 60s
+30sAvg. Escalation Time
ZeroData Breaches

Revenue Model

Four monetisation levers you can run simultaneously, each independently configurable per city.

Subscription Plans

Recurring rider memberships that trade a monthly fee for reduced per-trip pricing.

Basic
$9 / mo
Plus
$19 / mo
Business
$49 / mo

Commission Plan

Percentage take rate on every completed trip, tiered by driver performance band.

Standard driver
20%
Gold driver
15%
Fleet partner
12%

Bidding System

Drivers bid on open jobs; riders pick on price, rating and arrival time.

Bid window
45s
Max bids / job
8
Platform fee
10%

Reverse Bidding

Riders name a price and nearby drivers accept, reject or counter in real time.

Counter offers
3 max
Accept rate
72%
Platform fee
8%

AI-Powered Decision Engine

A shared model layer that prices, allocates and forecasts across every revenue line — retrained nightly on each city's own demand curve.

Demand Forecasting

Predicts hourly demand per zone so incentives are placed before shortages occur.

Surge Optimisation

Balances conversion against driver supply, capping multipliers to protect trust.

Driver Allocation

Optimises for fleet-wide utilisation rather than nearest-driver-wins.

40%Margin Uplift
$2.5MAnnual GMV
15%Avg. Take Rate
85%Driver Retention

UX Research

Twelve weeks of field research across three cities with riders, drivers and dispatch operators.

User Research

  • 48 in-depth interviews with riders and drivers
  • 12 ride-along sessions with active drivers
  • 3 dispatch-room observation studies
  • 620 survey responses across three cities

Competitor Analysis

  • Teardown of 6 regional mobility apps
  • Fare-transparency benchmark across 40 trips
  • Driver-app onboarding time comparison
  • Support-response SLA benchmarking

Key Insights

  • Price certainty mattered more than raw price
  • Drivers abandoned onboarding at document upload
  • Errand jobs needed proof, not just tracking
  • Operators wanted override, not full automation

Critical Findings

What Was Breaking

  • 68% of riders abandoned booking when the fare was shown as a range.
  • Driver onboarding took 4.5 days on average, with 41% dropping off.
  • Errand disputes had no evidence trail, so operators refunded by default.
  • Support agents needed four systems to resolve a single trip complaint.

What We Changed

  • Locked upfront fares with a visible breakdown before confirmation.
  • Guided onboarding with live document OCR cut approval to under 6 hours.
  • Mandatory photo proof and itemised receipts on every errand task.
  • Single trip-detail view exposing dispatch, payment and chat history.

User Personas

Four archetypes shaped every dispatch, pricing and interface decision on the platform.

Priya Menon

Daily Commuter

Age 29 • Marketing Manager

NEEDS

  • Predictable arrival time
  • Fixed fare before booking
  • Saved home and office routes

PAIN POINTS

  • Surge pricing with no warning
  • Drivers cancelling after accepting
  • Long walk to the pickup point

Rahul Sharma

Full-Time Driver

Age 34 • Fleet Partner

NEEDS

  • Steady stream of high-value jobs
  • Same-day earnings payout
  • Clear incentive targets

PAIN POINTS

  • Dead miles between trips
  • Opaque commission deductions
  • Slow document re-verification

Anita Desai

Errand Customer

Age 41 • Working Parent

NEEDS

  • Proof the task was done right
  • Ability to add items mid-task
  • Trusted, repeat runners

PAIN POINTS

  • No visibility once the runner starts
  • Wrong items with no receipt
  • Refund disputes taking days

Marcus Obi

City Operations Lead

Age 37 • Platform Operator

NEEDS

  • Live supply and demand heatmap
  • Manual dispatch override
  • Per-city margin reporting

PAIN POINTS

  • Data split across three vendors
  • No way to intervene mid-trip
  • Weekly reconciliation done in spreadsheets

User Journey

From intent to receipt — the six moments that decide whether a rider returns.

  1. 1

    Discover

    Rider opens the app to a map already centred on their saved pickup point.

  2. 2

    Select Service

    Ride, errand or hourly booking chosen from a single unified entry screen.

  3. 3

    Confirm Fare

    Locked upfront price with an itemised breakdown before any commitment.

  4. 4

    Match Driver

    Allocation engine assigns the best driver in under nine seconds on average.

  5. 5

    Live Trip

    Shareable tracking link, masked calling and in-trip SOS available throughout.

  6. 6

    Pay & Rate

    Automatic wallet settlement, instant receipt and a two-tap rating prompt.

Journey Optimization Results

< 2 minBooking to Pickup
95%Completion Rate
4.7/5Journey Satisfaction

Wireframes & Information Architecture

Low-fidelity structure agreed with operators before a single pixel of UI was designed.

Service Selection

Service Selection

A single entry surface for all three service lines, so riders never guess which app section they need.

Booking Flow

Booking Flow

Three-step booking with the fare breakdown pinned above the fold at every step.

Live Tracking

Live Tracking

Map-first trip view with driver detail, masked calling and SOS reachable in one tap.

Design Process

01

Sketching

Rapid paper studies of 20+ booking flows reviewed with dispatch operators.

02

Wireframing

Greyscale flows covering every service line, error state and edge case.

03

Prototyping

Clickable prototypes for rider, driver and operator, tested end to end.

04

Testing

Moderated sessions in three cities, feeding two full iteration rounds.

UI Design

A themeable design system where an operator's brand flows through every screen from one token file.

Color System

Brand, semantic and surface tokens with verified AA contrast in both themes.

Typography

A single fluid type scale from caption to display, tuned for small screens.

Components

94 shared components across rider, driver and operator applications.

Iconography

A 180-glyph outline set drawn on one grid for consistent optical weight.

Visual Design Showcase

Mobile App Interface

Mobile App Interface

Clean, map-first booking flow designed for one-handed use during a commute.

Admin Dashboard

Admin Dashboard

Dense operator console balancing live map, dispatch queue and fleet health at a glance.

Key UI Components

Booking Cards

  • Service selector tiles
  • Fare breakdown sheet
  • Scheduled trip picker
  • Multi-stop route editor

Tracking Views

  • Live map with driver pin
  • ETA and progress bar
  • Masked call and chat bar
  • SOS action sheet

Data Displays

  • Earnings summary card
  • Supply and demand heatmap
  • Trip history timeline
  • Driver performance table

Usability Testing

Three testing tracks run in parallel across two release candidates before general availability.

Usability Testing

Moderated task-based sessions with riders and drivers across three target cities.

Participants
42
Task success
94%
Avg. SUS score
86

A/B Testing

Split tests on fare presentation, driver-match wait screen and errand proof capture.

Variants tested
18
Traffic split
50/50
Winning lift
+23%

Beta Testing

Six-week closed beta with two operator partners running live commercial trips.

Beta users
1,200
Trips completed
18K
Crash-free rate
99.7%

Testing Results & Improvements

AreaBeforeAfterChange
Booking completion62%91%+29 pts
Time to first ride4 min 10s1 min 48s−57%
Driver onboarding4.5 days6 hours−94%
Errand dispute rate11%2%−9 pts
Support tickets / 1K trips8427−68%

Key Findings

  • Showing the fare breakdown before the confirm button removed the single largest drop-off in the funnel.
  • Drivers accepted 31% more jobs once expected earnings were shown alongside distance on the offer card.
  • Mandatory photo proof on errands cut disputes by more than five times and ended default refunds.
  • Operators used manual dispatch override on under 3% of trips — enough to feel in control, rare enough to scale.

Final Outcome

A production platform now running commercially across multiple operators and markets.

Market Launch

First operator went live in two weeks against a six-month industry baseline.

Revenue Growth

Combined partner GMV reached $2.5M annualised within the first three quarters.

Rider Retention

Ninety-day repeat-booking rate settled at 68%, well above the regional benchmark.

Fleet Utilisation

A shared driver pool across service lines lifted utilisation from 38% to 71%.

Business Impact

$2.5MAnnual GMV
+30sFaster Dispatch
150K+Monthly Rides
ZeroCritical Incidents

Client Testimonials

We launched in two cities before our previous vendor had finished scoping the integration. The shared driver pool alone changed our unit economics.
Daniel OkaforCOO, Metro Mobility Group
Errands were always the messy part of our business. Proof-of-completion turned it from a support burden into our highest-margin line.
Sara LindqvistHead of Operations, CityRun

Platform Capabilities

Rider Experience

  • Upfront locked fares
  • Multi-stop routing
  • Scheduled and recurring trips
  • Shareable live tracking

Driver Tooling

  • Guided onboarding with OCR
  • Earnings-first job offers
  • Same-day payouts
  • Incentive progress tracker

Operator Console

  • Live supply heatmap
  • Manual dispatch override
  • Per-city margin reporting
  • Role-based access control

Platform & Integration

  • White-label theming engine
  • REST and webhook APIs
  • iOS, Android and web SDKs
  • Regional data residency

Ready to Launch Your Mobility Platform?

Bring us your brand and your market — we will have your rider, driver and operator apps live in weeks.

Talk to Our Team