AI-Powered Home Services Marketplace Platform

AI-driven home services platform with intelligent matching, scheduling, live tracking, and transparent pricing for on-demand bookings.

AI-Powered Home Services Marketplace Platform
Marketplace • AI & AutomationAI & ML SolutionsMobile App DevelopmentSoftware DevelopmentCloud & DevOps

Overview

We developed an AI-powered home services platform that connects users with verified service professionals for home maintenance, repair, cleaning, and other on-demand services through intelligent service matching and automated scheduling systems.

The Challenge

Home-service marketplaces usually struggle on two fronts: matching the right professional to a job fast, and giving customers pricing they can trust before work starts. This client wanted AI to handle the matching and generate quotes upfront, rather than leaving customers to negotiate with providers manually.

The Solution

We built the mobile apps on React Native with an MVVM architecture for maintainable state management, and added an AI-based matching engine that pairs jobs with verified professionals along with an AI quotation tool that generates visual, itemized estimates before booking. Live tracking over Socket.IO shows the professional en route, and Razorpay/Stripe handle dynamic pricing and payment.

Business Objectives

  • Build a scalable home services marketplace
  • Improve booking and scheduling efficiency
  • Provide transparent pricing and quotations
  • Enhance customer trust through verified professionals
  • Enable intelligent service provider matching

Key Features

  • AI-based service matching engine
  • AI-based quotation and visualization tools
  • Real-time service booking and scheduling
  • Verified professional onboarding
  • Dynamic pricing and payment management
  • Live service tracking
  • Ratings and review management
  • Customer support and communication tools
  • Push notifications and reminders
  • Analytics and reporting dashboard

What We Delivered

  • Mobile application (Android & iOS)
  • Admin & operations dashboard
  • Backend APIs & data layer
  • Third-party integrations & automation
  • Analytics, reporting & insights
  • Deployment, monitoring & operational setup

Implementation Highlights

  • AI matching engine pairing service requests with verified professionals automatically
  • AI-generated quotations with visualization so pricing is clear before a booking is confirmed
  • MVVM architecture on React Native keeping the app maintainable across Android and iOS
  • Live service tracking over Socket.IO from booking through completion

Integrations

  • Razorpay payments
  • Push notifications (FCM)
  • Stripe payments
  • Real-time updates (Socket.IO)

Reliability & Security

  • Verified-professional onboarding as a trust and safety layer, not just a database field
  • A dynamic pricing engine that recalculates transparently rather than surprising customers
  • Firebase and AWS backing real-time notifications and scale as demand grew across service categories

Results & Impact

  • Improved service booking experience
  • Faster provider matching and assignment
  • Increased customer trust and transparency
  • Streamlined operational workflows
  • Scalable AI-powered marketplace ecosystem

Tech Stack

React NativeKotlinSwiftMVVM ArchitectureNode.jsMongoDBAWS Cloud ServicesFirebaseSocket.IOJWT AuthenticationStripe / RazorpayREST APIsFirebase Cloud Messaging
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AI-Powered Home Services Marketplace Platform | Case Study | Infonimbus Tech Services