Case study
Home Services & On-Demand Service MarketplaceProduct EngineeringReact / Flutter / Node / PostgreSQL / AWS

Confidential Service Marketplace Startup

Manual operations replaced by a scalable digital marketplace — faster bookings, stronger provider utilisation, real-time transparency, and a foundation for geographic expansion.

Engagement at a glance
Timeline
Multi-phase delivery
Team
1 product lead · 2 engineers · 1 mobile developer
Industry
Home Services & On-Demand Service Marketplace
ROI
85% less manual scheduling · Faster bookings in minutes.
Engagement summary

Service discovery, booking, and provider coordination ran on phone calls, WhatsApp, and Google Sheets — causing missed bookings, double scheduling, and no real-time visibility as demand scaled.

Engagement overview

Context, scope, and success criteria

The client is a confidential service marketplace startup in India that connects customers with verified professionals for home and business services. Before digital transformation, the business relied on phone calls, WhatsApp, spreadsheets, and manual coordination to manage requests, which limited scale and created service inconsistencies.

Project snapshot
Timeline
Multi-phase delivery
Team
1 product lead · 2 engineers · 1 mobile developer
Industry
Home Services & On-Demand Service Marketplace
Primary stack
React / Flutter / Node / PostgreSQL / AWS cloud native
Objectives
  • Build a customer-facing booking experience with discovery, scheduling, secure payment, and live updates.
  • Give service providers a dedicated application to manage bookings, availability, earnings, and schedules.
  • Create an admin dashboard for operations, verification, revenue tracking, payouts, and escalation handling.
  • Replace manual coordination with automation that could support high booking volumes and expansion.
Challenge

Why the work started

Service discovery, booking, and provider coordination ran on phone calls, WhatsApp, and Google Sheets — causing missed bookings, double scheduling, and no real-time visibility as demand scaled.

Solution

What we built

An end-to-end booking platform with customer and provider apps, admin dashboard, booking automation, payments, notifications, and analytics covering the full service lifecycle.

85%
Reduction in manual scheduling
Min
Booking completion time
3
Core applications delivered
Architecture

Legacy versus modern flow

Platform structure
Legacy state

Manual booking coordination via phone, WhatsApp, and spreadsheets with no central view of demand, provider availability, or payment status.

Modern stack

An on-demand service marketplace with customer and provider apps, admin dashboards, booking automation, payments, notifications, analytics, and cloud infrastructure.

Execution

Migration timeline

The engagement ran as a phased migration. Each stage below can be expanded to inspect the delivery shape.

Delivery

How the work was executed

01

Designed and built customer, provider, and admin applications as one integrated platform.

02

Implemented the smart booking engine, provider assignment workflow, payment processing, notifications, and rating system.

03

Added analytics for bookings, provider utilization, cancellations, retention, and revenue performance.

04

Deployed the platform on AWS and connected mobile and web experiences to the same backend services.

Governance

Controls and delivery rhythm

Role-based access control, secure authentication, and centralized reporting ensured the marketplace could scale while maintaining operational oversight and trust.

The platform eliminated most manual scheduling overhead, improved customer experience, increased provider efficiency, and created a digital foundation for multi-city marketplace growth.

Outcome

Results and next steps

Business outcome
85% less manual scheduling · Faster bookings in minutes.

Manual operations replaced by a scalable digital marketplace — faster bookings, stronger provider utilisation, real-time transparency, and a foundation for geographic expansion.

Next phase

The roadmap can extend into dynamic pricing, route optimization, loyalty programs, and AI-assisted matching between demand and provider capacity.

Have similar architecture bottlenecks?

We can map the same modernization pattern to your infrastructure, release process, and operating model.