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Development of AI-Powered Cross-Platform Expense Management Mobile Application

nan-labs.com

Financial services

Information technology

Current Challenges in Manual Expense Reporting

Employees spend 3-5 hours monthly on manual expense reporting, costing companies $26-$40 per report. Challenges include processing diverse receipt formats (handwritten, faded, crumpled), error-prone manual data entry, compliance risks, and delayed financial insights.

About the Client

Fintech company specializing in AI-driven financial workflow automation solutions

Strategic Project Goals

Develop automated expense reporting system reducing manual effort by 70%
Implement machine learning-powered OCR for 95%+ receipt recognition accuracy
Enable real-time financial insights through automated data aggregation
Achieve cross-platform compatibility with unified codebase

Core System Capabilities

AI-enhanced OCR for multi-format receipt capture
Automated data extraction and validation engine
Calendar and payment system integration
Real-time expense tracking dashboard
Multi-platform support (iOS/Android)

Technology Stack Requirements

React Native framework

Machine learning models for document recognition

Cloud-based image processing pipeline

Secure data encryption protocols

System Integration Needs

Corporate calendar systems (Google/Outlook)
Payment gateway APIs
Cloud storage solutions
Enterprise financial software (SAP/QuickBooks)

Operational Requirements

99.9% system uptime SLA
Sub-200ms image processing latency
GDPR-compliant data handling
Horizontal scalability for 100k+ concurrent users

Expected Business Impact

Projected 80% reduction in expense processing time, $15-30 per report cost savings, 40% improvement in financial reporting accuracy, and significant reduction in compliance risks through automated validation and audit trails.