Lenders use Veefin's SCF LOS to digitize and accelerate the complex dual-onboarding process, manage tri-party agreements, and implement specialized credit policies designed for supply chain finance arrangements.
Customize scorecards and risk models for both anchors and counterparties, with automated policy checks for precise tri-party credit decisions.
Manage multiple supply chain finance products and business lines on one platform with centralized data for both anchors and counterparties.
Built-in capability to conduct post-disbursement audits on a percentage of invoices, ensuring compliance and reducing risk.
Configure SCF-specific credit policies, create new supply chain finance products, and optimize anchor-counterparty workflows without coding.
Manage multiple supply chain finance products and business lines on one platform with centralized data for both anchors and counterparties.
Create and deploy unlimited SCF products with complete configurability of terms, policies, and workflows.
Veefin’s Onboarding module simplifies the complex process of bringing stakeholders into your SCF program. Built for speed and compliance, it ensures every participant is verified, connected, and ready to transact.
Streamlined workflows guide anchors and counterparties through a unified onboarding process. Customizable forms and digital signatures reduce manual work, while omnichannel support (web, mobile, API) ensures accessibility.
Automated verification integrates with 250+ global data sources to perform real-time KYC and AML checks. AI-driven document parsing extracts data from IDs, financials, and contracts, ensuring compliance with local and international regulations.
Validates business connections between anchors and counterparties using transactional data, payment histories, and ERP integrations. For example, confirms that a supplier consistently delivers to a corporate anchor before financing approval.
Efficiently onboard multiple counterparties under a single anchor with batch processing tools. Upload supplier lists via CSV or integrate with ERP systems (e.g., SAP, Oracle) to automate data import and verification.
Veefin’s Underwriting and Risk module empowers you to make fast, accurate credit decisions with AI-driven insights and no-code flexibility.
Create tailored risk models for different SCF relationships. Adjust parameters like credit history, cash flow, or industry risk without coding with a drag-and-drop interface.
Configure decisioning rules without developers. Define conditions like “approve if credit score > 700 and payment history > 90% on-time” in minutes.
AI extracts and analyzes financial data from balance sheets, invoices, and bank statements. Spreads data across standardized metrics for consistent evaluation.
Verifies financial and operational data against multiple sources in real time. Flags discrepancies instantly, such as mismatched invoice amounts.
Advanced algorithms monitor for red flags like duplicate invoices, unusual payment patterns, or sanctions list matches.
Risk teams design complex SCF credit policies that evaluate both anchor and counterparty risk, create versioned scorecards for different supply chain relationships, and automate decisioning with Veefin's no-code platform.
Open API architecture to build custom integrators
Our platform is designed specifically for the complexities of supply chain finance, with separate but interconnected workflows for anchors and counterparties. The system first validates the anchor's creditworthiness and financial stability, then streamlines the onboarding of multiple counterparties under that anchor. This approach allows for both comprehensive risk assessment and efficient scaling of your SCF program.
Yes, our system comes with configurable templates for all common types of tri-party agreements used in supply chain finance. The document generation engine automatically populates agreement terms based on the specific relationship between anchor, counterparty, and financial institution. Our e-signature integration supports multi-party signing workflows, dramatically reducing the time required to execute these complex agreements.
The post-audit module allows you to configure automatic sampling of financed invoices (typically 10% or as required by your risk policy) for post-disbursement verification. This helps identify any discrepancies or potential fraud early in the process, ensuring the integrity of your SCF program. The module includes configurable workflows for audit assignment, document verification, dispute resolution, and compliance documentation.
Absolutely. Our platform allows you to create industry-specific credit models that account for the unique dynamics of each supply chain ecosystem. You can configure different parameters for automotive suppliers versus retail distributors, for example, or adjust risk weightings based on the strategic importance of specific relationship types. All of this is possible without writing code, using our visual policy builder.
Our SCF LOS includes specialized connectors for major procurement and ERP systems to facilitate seamless data exchange. This enables automatic validation of invoices, purchase orders, and goods receipt notes, dramatically reducing fraud risk and manual verification work. We've successfully integrated with over 30 different procurement and ERP platforms worldwide, including SAP, Oracle, and Microsoft Dynamics.
Yes, the platform supports multiple concurrent SCF programs with completely different structures, workflows, and credit policies. You can run a traditional reverse factoring program alongside dealer financing and dynamic discounting initiatives, all on the same platform, with appropriate segregation and specialized configurations for each program type.
Our platform includes tools specifically designed for SCF program scaling, including bulk onboarding capabilities, supplier outreach campaign management, automated eligibility pre-screening, and self-service portals. These features help you quickly expand your program while maintaining appropriate risk controls. Clients typically see 3-5x growth in program participation within the first year of implementation.
