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Automated Profile Management and Ride Receipt Optimization System for Super App Platform
  1. case
  2. Automated Profile Management and Ride Receipt Optimization System for Super App Platform

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Automated Profile Management and Ride Receipt Optimization System for Super App Platform

netguru.com
Business services
Transportation
Deliveries
Payments

Operational Inefficiencies and User Experience Challenges

Manual processing of driver profile updates consumes significant operational resources, with 300-700 hours/month spent per market on update requests (33% of Saudi Arabian market volume). Complex update procedures require physical branch visits or email communication, while unclear ride receipts cause driver confusion about commission deductions.

About the Client

A leading super app platform in the Middle East offering transportation, delivery, and payment services, acquired by Uber in 2020 and operating across 100+ cities in 14 countries

Automation and Experience Enhancement Goals

  • Eliminate manual intervention in driver profile update processes
  • Reduce operational costs associated with update requests by 100%
  • Decrease driver time spent on administrative tasks to increase driving hours
  • Improve clarity of ride receipts to reduce commission-related misunderstandings

Core System Capabilities

  • Self-service driver profile update portal with document upload
  • Facial recognition for identity verification during profile changes
  • Automated phone number and city-of-operation update workflows
  • Interactive ride receipt interface with fee breakdown visualization
  • Real-time operational metrics dashboard for request tracking

Technology Stack Requirements

React Native for cross-platform mobile development
AWS cloud infrastructure
Node.js backend services
Facial recognition API integration
Real-time database (e.g., Firebase)

System Interoperability Needs

  • Existing driver database synchronization
  • Payment gateway integration
  • Uber ecosystem API connectivity
  • Customer support ticketing system integration

Operational Constraints

  • Support for 2.5M+ concurrent users
  • 99.99% system uptime SLA
  • GDPR-compliant data handling
  • Multi-language support for 14 countries
  • Sub-200ms response time for critical operations

Business Transformation Outcomes

Projected elimination of 100+ operational hours/month per market through automation, with 300-700 hours/month saved in update request processing. Enhanced driver experience expected to increase active driving hours by 15-20%, while improved receipt transparency should reduce support inquiries by 40%. Scalable solution to support 1B+ annual rides and 50M customers.

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