LCP

Verified Home Service App and Online Booking Platform for Maintenance Services

undefined
Overview

Book verified experts for online home maintenance and household repair services using our AI home service app and easy online booking platform.

At A Glance

industry
Industry
Retail & E-commerce
region
Region
USA
duration
Duration
8 Weeks

Technical Stack

Node.js
TensorFlow
Python
Flutter
AWS
SPSS
R

Client Profile

The client is a renowned USA-based technology company building software solutions that seamlessly connect consumers with verified service providers. Their AI service platform enables users to hire professionals across a broad range of categories, from home services such as household repair services, appliance repair, plumbing, and home décor to specialised domains, including legal services.

Challenge

  • Need for a Unified Service Platform: There was a strong requirement for an all-in-one digital home service app platform where consumers could access and compare multiple service providers in one place based on their needs, allowing effortless and transparent home service booking.
  • Revenue Loss from Last-Minute Cancellations: The absence of a revenue safeguarding process for cancellation of appointments on short notice impaired service provider operations, creating additional financial uncertainty that affected both users and providers in the on-demand service marketplace economy.
  • Lack of Emerging Technology: The initial platform was not user-friendly and did not have contemporary capabilities such as automation underpinned by artificial intelligence/machine learning, smart recommendations, or optimized workflow. 
  • No Single End-to-End Service Ecosystem: There is no smaller or complementary service that achieves a fully integrated experience across all service categories or areas.
  • Intelligent Matching: There needed to be an artificial intelligence system set up that could intelligently match users with the service provider that was the best fit in real-time, such as with trust and convenience, among other things.
App interface displaying AI/ML features for seamless user connectivity with verified service providers, ensuring trust and convenience

Solution

  • Full Application Development: Created the entire service booking platform application ecosystem from frontend to backend using a scalable, AI-first development methodology to deliver an efficient online booking platform experience and streamlined access to home services online.
  • ML Recommendation Engine: Integrated an advanced machine learning recommendation engine to personalize service discovery and improve user satisfaction.
  • Smart Search & Filtering Tool: Used advanced search filters to assist customers in finding providers and appointments better suited for their needs.
  • Push Notifications & Automated Communications:  Included automated push notifications and SMS services to advocate for discounted slots to assist providers in optimising utilisation, and users in maximising deals.
  • Organised Appointment Management: Enabled service providers to view, manage and prepare for appointments in an effective manner through an ordered dashboard, ensuring smoother scheduling and reduced delays for users seeking both general home services and online home maintenance services.
  • AI-Driven Matchmaking & Location Optimisation: Built an intelligent AI-powered match-making model based on user behaviour, location, and service history using advanced geo-accuracy and agent-based optimisation, bringing strong automation and efficiency to the home services marketplace ecosystem.

Key Benefits

  • 34% Growth in User Adoption: Increased active application users by 34% in a single quarter, supported by AI-driven engagement and intelligent workflow automation across home services and professional services on demand.
  • ~10m Geographic Accuracy: Achieved high-accuracy geolocation (~10m) in order to deliver service more effectively and to provide services that are more relevant.
  • System Performance Enhanced: Improved system architecture and responsiveness support improved usability and minimise overall delays. 
  • Enhanced Price Discovery Using Machine Learning: Provided users with access to similar providers and comparative ranges of prices using insights from AI/ML to make better-informed decisions, ultimately increasing trust and transparency across the service provider platform ecosystem.

Develop your next idea with usGet in touch