Invoice Factoring Platform
AR factoring workflow with risk scoring and funder marketplace
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Invoice Factoring Platform
Part of the worlds-biggest-software-project initiative.
An open-source, AI-native invoice factoring platform with per-invoice risk scoring and a competitive funder marketplace.
The Invoice Factoring Platform is an open-source receivables-finance system for SMBs, banks, credit unions, CDFIs, and fintech lenders. It combines automated invoice ingestion, AI-driven debtor risk scoring, fraud detection, and a multi-funder marketplace into a single deployable platform — directly addressing the pricing and access gaps left by today's proprietary factors and enterprise-only supply-chain finance tools.
Why Invoice Factoring Platform?
- No SMB-accessible funder marketplace exists. PrimeRevenue and Demica run multi-funder bidding only for enterprise buyer-anchored programmes; SMB-facing factors (FundThrough, eCapital, Triumph) are single-funder, removing competitive pricing pressure.
- Pricing is flat or banded, not risk-priced. Every SMB platform charges 1.9%–8.99% in flat or sales-negotiated bands regardless of debtor quality, days-to-due, or sector — leaving margin on the table for both sellers and funders.
- Underwriting is slow and opaque. Traditional factors take 24–72 hours and a sales conversation (eCapital fees range 1%–5% with no published rate card); AI scoring at submission can produce instant, explainable decisions.
- White-label software is enterprise-priced. Velocifi (HES FinTech) is the only significant white-label factoring platform and prices out smaller lenders, credit unions, and CDFIs that need to offer factoring to their members.
- Fraud detection is manual or absent. Invoice duplication, fictitious debtors, and inflated amounts drive 0.5%–2% portfolio losses for unsophisticated factors; no SMB platform implements transparent AI fraud scoring.
Key Features
Invoice Intake and Funding Workflow
- REST API and direct connectors for QuickBooks Online, Xero, and OpenInvoice for passive invoice ingestion
- Automated debtor credit checks via Dun & Bradstreet and Experian with approve / review / decline routing
- Advance disbursement with UCC-1 filing automation for US deployments
- Transparent fee disclosure and digital factoring agreement with e-signature
- Seller dashboard covering portfolio summary, invoice status, outstanding advances, and repayment schedule
AI Risk and Pricing Engine
- Per-invoice debtor creditworthiness scoring using payment history, sector data, and economic signals
- Dynamic per-invoice pricing engine that consumes risk score and funder liquidity
- Invoice fraud and anomaly detection covering duplicate submissions, fictitious debtors, and ERP cross-validation
- Explainable score output designed for GDPR Article 22 and EU AI Act high-risk credit-scoring compliance
- Real-time debtor payment behaviour monitoring beyond static credit checks
Multi-Funder Marketplace
- Funder onboarding with appetite configuration by industry, size, geography, and risk tolerance
- Invoice pool bidding so multiple capital providers compete on rate
- AI-driven matching of invoice characteristics to funder preferences
- Concentration limits, debtor management, and dispute tracking
- Buyer-led supply chain finance (reverse factoring) programme module on the same core
Compliance and Cross-Border
- UCC Article 9 security-interest perfection workflows
- FCI / GRIF rule engine for cross-border invoice eligibility
- PEPPOL / EN 16931 e-invoice ingestion for EU markets
- ISO 20022 payment messaging for funder disbursement and repayment settlement
- GDPR / CCPA-compliant handling of SMB and debtor financial data
White-Label Deployment
- Multi-tenant deployment mode for banks, credit unions, and CDFIs with configurable branding
- Configurable product engine supporting recourse, non-recourse, and spot factoring
- REST API layer for integration with lender core systems
- Collections module with payment reminders, debtor payment tracking, and dispute logging
AI-Native Advantage
AI is the core differentiator: an ML model trained on payment behaviour, sector data, and real-time economic signals scores debtor risk in milliseconds, replacing the 24–72 hour manual underwriting cycle of incumbents. That same risk signal feeds a dynamic pricing engine so each invoice clears at a rate reflecting debtor quality, days-to-due, and current funder liquidity — instead of the flat rate cards every SMB platform uses today. AI matching connects invoices to funder appetite in a true competitive marketplace, while invoice fraud detection on submission metadata, email patterns, and ERP data flags anomalies before advance, attacking the 0.5%–2% portfolio losses smaller factors absorb.
Tech Stack & Deployment
The platform is designed for self-hosted, hosted, and white-label multi-tenant deployment. Expected integration surface includes a REST API, accounting-software connectors (QuickBooks, Xero, OpenInvoice), credit-bureau integrations (Dun & Bradstreet, Experian), and ISO 20022 payment messaging. PEPPOL / EN 16931 support provides a standardised invoice input layer for EU markets, and the FCI / GRIF rule engine handles cross-border eligibility. The AI risk and pricing engine and the funder marketplace are intended as premium hosted layers above the open-source core.
Market Context
The global factoring services market is approximately USD $5.67B at the platform/software layer in 2026, projected to reach USD $12.41B by 2034 at a 10.34% CAGR (Precedence Research), with annual transaction volume around $3.46 trillion growing at 11.9% CAGR (Market.us). Incumbent SMB pricing ranges from FundThrough's 1.9%–2.9% per 30 days to Fundbox at 4.66%–8.99% per draw, while enterprise platforms (PrimeRevenue, Demica) require custom pricing and 12–18 month onboarding. Primary buyers are SMB owners in trucking, staffing, and construction; mid-market CFOs at $5M–$50M revenue; and fintech lenders or banks launching factoring products who currently face Velocifi-class enterprise licensing.
Project Status
This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.
Contributing
We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.
Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.
Licence
Licence to be determined. See discussion for context.