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Development of Automated Invoice Processing Platform with Decision Engine Integration
  1. case
  2. Development of Automated Invoice Processing Platform with Decision Engine Integration

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Development of Automated Invoice Processing Platform with Decision Engine Integration

railwaymen.org
Financial services
Information technology
eCommerce

Challenges in Traditional Invoice Financing

Existing invoice financing solutions in the UK market suffer from slow processing times (weeks), excessive manual paperwork, high costs, and lack of transparency. Businesses face delayed working capital access due to outdated verification processes and fragmented accounting system integrations.

About the Client

A fintech company enabling small businesses to access cash tied up in unpaid invoices within 24 hours through transparent, automated invoice financing.

Key Project Goals

  • Automate customer onboarding and invoice verification processes
  • Reduce invoice funding decision time to 24 hours
  • Implement a decision engine for automated risk assessment
  • Integrate with multiple accounting platforms for seamless data flow
  • Enhance security for financial data handling

Core System Capabilities

  • 15-step customer onboarding workflow with document verification
  • AI-powered decision engine for creditworthiness assessment
  • Real-time invoice validation and funding status tracking
  • Multi-API integration with accounting software (Xero, QuickBooks, etc.)
  • Secure data aggregation and access control system

Technology Stack

Vue.js
Ruby on Rails
RESTful APIs
Cloud infrastructure
Microservices architecture

External System Integrations

  • Xero Accounting API
  • QuickBooks Online API
  • FreeAgent API
  • KashFlow API
  • Sage 200 Cloud API
  • Electronic signature platform
  • Banking data verification service

System Requirements

  • High-availability architecture for financial transactions
  • Enterprise-grade data encryption and access controls
  • Real-time processing performance metrics
  • Scalable infrastructure for growing user base
  • Compliance with financial data regulations (PSD2, GDPR)

Expected Business Outcomes

Implementation of this platform is expected to reduce invoice processing time by 90%, decrease operational costs through automation, improve SME cash flow by enabling 24-hour invoice funding, and create competitive advantage through superior integration capabilities and transparent pricing model.

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